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

📊 Updated class distribution:
Retain set:
  Class 0: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.0320	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0142	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0289	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0272	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0015	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0156	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0017	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9836	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9495	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9424	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9312	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9156	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9154	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9120	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8613	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.9014	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.9016	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8344	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8642	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8292	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8188	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.8031	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.8161	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7691	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7843	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7666	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7541	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7062	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7064	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7043	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6236	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6111	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6778	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6908	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6883	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.5901	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.7057	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6439	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6942	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6860	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6443	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6456	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5913	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5974	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6359	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5961	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6978	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5821	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5223	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.6245	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5731	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5454	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5742	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5386	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5417	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5712	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5421	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.4660	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5815	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5667	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.4984	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5326	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5309	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5503	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5105	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5225	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.4437	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.6292	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5065	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5694	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5395	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5422	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4814	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5636	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5480	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4295	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4532	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5116	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5046	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4730	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.3826	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4927	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4283	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4164	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.5287	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.5183	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4115	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4799	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5458	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5348	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5934	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4600	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4947	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4712	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.5099	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4074	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5569	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.3539	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.3099	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4624	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4069	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4410	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3596	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.2578	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3829	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.3052	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4815	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4288	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4372	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.3940	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.5654	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.5270	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4430	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.4307	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4881	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4755	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4344	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3672	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3659	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3225	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4435	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.3412	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.5374	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4017	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.5785	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4980	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3210	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4294	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4416	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4983	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3881	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4374	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.3817	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.2986	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3853	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3450	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3589	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3821	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3467	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3435	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3825	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4393	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.2513	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4594	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3576	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4006	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4930	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3926	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3638	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3488	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3889	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3917	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3149	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2914	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3115	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.2743	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.2486	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.3574	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.4183	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3781	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.2731	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3091	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.2017	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3662	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.4441	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4029	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.4094	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.2153	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2143	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3696	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3269	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.4457	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3582	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.2473	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.2194	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.4433	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3764	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2443	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.2847	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.5019	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.4962	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5268, Train Accuracy: 0.2181
Epoch 1 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0107, Accuracy: 0.2307, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.2509	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3980	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3149	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3080	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3195	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2842	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.2976	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2701	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.3284	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1688, Train Accuracy: 0.3207
Epoch 2 training time consumed: 24.96s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0094, Accuracy: 0.2920, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-2-best.pth
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Epoch 3 - Average Train Loss: 1.9354, Train Accuracy: 0.3921
Epoch 3 training time consumed: 25.00s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0086, Accuracy: 0.3647, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8030	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.7420	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7587, Train Accuracy: 0.4448
Epoch 4 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0074, Accuracy: 0.4206, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5742	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6008, Train Accuracy: 0.4939
Epoch 5 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4719, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.5075	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4719, Train Accuracy: 0.5333
Epoch 6 training time consumed: 24.88s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0063, Accuracy: 0.5042, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.5104	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.1670	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3651, Train Accuracy: 0.5622
Epoch 7 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5379, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.4128	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.3481	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2804, Train Accuracy: 0.5914
Epoch 8 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0058, Accuracy: 0.5501, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.0937	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0929	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2098, Train Accuracy: 0.6133
Epoch 9 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5716, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1443	LR: 0.100000
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Training Epoch: 10 [16896/46200]	Loss: 1.0753	LR: 0.100000
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Training Epoch: 10 [17664/46200]	Loss: 1.0085	LR: 0.100000
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Training Epoch: 10 [18432/46200]	Loss: 1.2692	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 1.2974	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1421	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.0957	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.2453	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.1844	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.1529	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.1068	LR: 0.100000
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Training Epoch: 10 [20736/46200]	Loss: 1.1409	LR: 0.100000
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Training Epoch: 10 [22016/46200]	Loss: 1.1376	LR: 0.100000
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Training Epoch: 10 [23296/46200]	Loss: 1.1970	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 0.9253	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 1.0661	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.2256	LR: 0.100000
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Training Epoch: 10 [25600/46200]	Loss: 1.1945	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.2015	LR: 0.100000
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Training Epoch: 10 [26368/46200]	Loss: 1.1733	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.1889	LR: 0.100000
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Training Epoch: 10 [30464/46200]	Loss: 1.0834	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.1064	LR: 0.100000
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Training Epoch: 10 [34304/46200]	Loss: 1.0429	LR: 0.100000
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Training Epoch: 10 [34816/46200]	Loss: 1.2519	LR: 0.100000
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Training Epoch: 10 [35328/46200]	Loss: 0.9980	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.2089	LR: 0.100000
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Training Epoch: 10 [36352/46200]	Loss: 1.2310	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.1638	LR: 0.100000
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Training Epoch: 10 [37120/46200]	Loss: 1.1092	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.2761	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.1634	LR: 0.100000
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Training Epoch: 10 [38912/46200]	Loss: 1.1366	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.2473	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.1185	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.1911	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.2093	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0586	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.0858	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 0.9702	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.1225	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.1960	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.1322	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.2841	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.1805	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.1625	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.1328	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.1955	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.1455	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.1845	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.2081	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.0768	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.2116	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.1452	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.0900	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.2173	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.1593	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.1381	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.1609	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 0.9347	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.0187	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.1985	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1435, Train Accuracy: 0.6345
Epoch 10 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0060, Accuracy: 0.5563, Time consumed:0.91s
Training Epoch: 11 [256/46200]	Loss: 1.1198	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.0269	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 1.2116	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.1529	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 0.9749	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.1789	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.0509	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 1.2256	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.1418	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.0549	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.1251	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 1.1125	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 1.1299	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 1.0862	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 1.0866	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 1.1682	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 1.1912	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 1.0671	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 0.9898	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.1653	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.0643	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.1240	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 1.0743	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.1285	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 1.0089	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.1885	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 1.1801	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.0360	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.1162	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 1.1282	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.1835	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.0917	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 1.1275	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.1082	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.2657	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.1292	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 1.0994	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.1047	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.1989	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 1.0646	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 1.0827	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.1391	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.1578	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 1.1734	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 1.1596	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 1.1331	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.1190	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 1.1103	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.1964	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 1.1736	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.0668	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.1123	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.0108	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.0808	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.0322	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 1.3196	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.0797	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 1.1891	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.1505	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.2072	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.1022	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 1.2561	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.0942	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0361	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.1774	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.1606	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.0729	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 1.1367	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.0419	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.0843	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.1197	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.0665	LR: 0.100000
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Training Epoch: 11 [19456/46200]	Loss: 1.0785	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 1.0246	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.1463	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.2104	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 1.0620	LR: 0.100000
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Training Epoch: 11 [21248/46200]	Loss: 0.9968	LR: 0.100000
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Training Epoch: 11 [22016/46200]	Loss: 1.0459	LR: 0.100000
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Training Epoch: 11 [22784/46200]	Loss: 1.2385	LR: 0.100000
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Training Epoch: 11 [23552/46200]	Loss: 1.0088	LR: 0.100000
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Training Epoch: 11 [24064/46200]	Loss: 0.9982	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 0.9458	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.1123	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 1.0960	LR: 0.100000
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Training Epoch: 11 [25344/46200]	Loss: 1.1006	LR: 0.100000
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Training Epoch: 11 [25856/46200]	Loss: 1.0439	LR: 0.100000
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Training Epoch: 11 [26368/46200]	Loss: 1.0835	LR: 0.100000
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Training Epoch: 11 [26880/46200]	Loss: 0.9811	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.1500	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.1494	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 0.9973	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.2559	LR: 0.100000
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Training Epoch: 11 [29184/46200]	Loss: 0.9972	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.0936	LR: 0.100000
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Training Epoch: 11 [30976/46200]	Loss: 1.1068	LR: 0.100000
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Training Epoch: 11 [31744/46200]	Loss: 1.0423	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 1.0556	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 1.1858	LR: 0.100000
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Training Epoch: 11 [33536/46200]	Loss: 1.2539	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 1.1198	LR: 0.100000
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Training Epoch: 11 [34304/46200]	Loss: 1.1875	LR: 0.100000
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Training Epoch: 11 [34816/46200]	Loss: 1.0090	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 1.0525	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.1468	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 0.9831	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 1.1818	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.0756	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.0914	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 1.1515	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.1051	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.0634	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.0073	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0523	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 0.9464	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.0800	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.2524	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.0829	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.2887	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 1.1039	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0491	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 0.9583	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 1.0280	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.1089	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 1.2324	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.0898	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 1.1483	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.0251	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 1.1818	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 1.1122	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 1.0730	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.1099	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 1.0537	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 1.0160	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 0.9896	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0091	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 1.0172	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 1.2492	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 0.9686	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.1166	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 1.1035	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 1.0610	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.0937	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 1.0370	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 1.1814	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.1438	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 0.9783	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1034, Train Accuracy: 0.6449
Epoch 11 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0060, Accuracy: 0.5644, Time consumed:0.83s
Training Epoch: 12 [256/46200]	Loss: 0.9534	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 1.1351	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 1.0271	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 1.0453	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 0.9932	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 1.1097	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 1.0379	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 1.1909	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 1.0585	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 1.0537	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 1.0522	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 1.0354	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 0.9740	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 1.0291	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 1.2130	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 1.0886	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 0.9835	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 1.2423	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 1.0210	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 1.0698	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 0.9975	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 1.2150	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 1.0208	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 0.9670	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 1.0013	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 1.0461	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 1.0514	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 1.0604	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 1.0255	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 1.0023	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 0.9422	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 1.0834	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 1.1776	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 1.0057	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 1.0115	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 1.1143	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 1.0568	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 1.1108	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 1.1110	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 1.0439	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 1.1347	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 0.9945	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 1.1352	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 1.0153	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 1.0632	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 0.9997	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.0142	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 0.9312	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 1.1023	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0376	LR: 0.100000
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Training Epoch: 12 [15360/46200]	Loss: 1.0769	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 1.0421	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 1.1012	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 1.2661	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 1.1390	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 1.1637	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.2507	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 1.1654	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 1.0188	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 1.0327	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 1.1235	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 1.1757	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 0.9697	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 1.1635	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 1.1311	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 1.0801	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 1.1718	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 1.0040	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 1.0006	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 0.9028	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 1.0382	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 0.9376	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 1.0174	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 1.1077	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 1.0541	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 0.9969	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 1.0614	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 1.0788	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 1.1878	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 0.9981	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 1.0003	LR: 0.100000
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Training Epoch: 12 [27904/46200]	Loss: 0.9730	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 1.0477	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 1.2015	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 1.1603	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 1.1345	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.2147	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 1.1501	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 1.0596	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 1.0436	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 1.1977	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 0.9694	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.1188	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 1.2624	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 0.9564	LR: 0.100000
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Training Epoch: 12 [37376/46200]	Loss: 0.9909	LR: 0.100000
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Training Epoch: 12 [37888/46200]	Loss: 1.0750	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 1.0889	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 1.0989	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 1.0798	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 1.0584	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 1.0570	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 0.9446	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 0.9855	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 0.9539	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 1.1285	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 1.0401	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.0649	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 1.0454	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 1.1343	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 1.1304	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 1.0918	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 1.0998	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 0.8971	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 1.1921	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 0.9935	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 1.0342	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 1.1125	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 1.0354	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 1.1292	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 0.9798	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 1.0854	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 1.2935	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 1.1238	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.0889	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 0.9833	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 1.1011	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 1.1617	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.8652	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0683, Train Accuracy: 0.6571
Epoch 12 training time consumed: 25.14s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0070, Accuracy: 0.5177, Time consumed:0.89s
Training Epoch: 13 [256/46200]	Loss: 1.0657	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 1.1214	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 1.0218	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 1.0473	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 1.1356	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 1.0554	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 1.1038	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 1.1248	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.9124	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 1.1551	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 1.1673	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.9739	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.9299	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 1.0534	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 1.0106	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 1.0382	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 1.0985	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 0.9964	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 1.0664	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 0.9703	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.9954	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 0.9273	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 1.1291	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 0.9609	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 1.1057	LR: 0.100000
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Training Epoch: 13 [7168/46200]	Loss: 1.0257	LR: 0.100000
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Training Epoch: 13 [7680/46200]	Loss: 1.0706	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.9943	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 0.9287	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 1.1316	LR: 0.100000
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Training Epoch: 13 [11008/46200]	Loss: 0.9815	LR: 0.100000
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Training Epoch: 13 [16640/46200]	Loss: 1.0471	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 0.9204	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 0.9211	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 0.9936	LR: 0.100000
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Training Epoch: 13 [19712/46200]	Loss: 1.0359	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 1.0271	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 1.0447	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 1.0520	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 1.1286	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0401, Train Accuracy: 0.6649
Epoch 13 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0048, Accuracy: 0.6352, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.8942	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 0.9674	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0072, Train Accuracy: 0.6761
Epoch 14 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0046, Accuracy: 0.6346, Time consumed:0.85s
Training Epoch: 15 [256/46200]	Loss: 0.9221	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.8062	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7786, Train Accuracy: 0.7502
Epoch 15 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7291, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-15-best.pth
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Training Epoch: 16 [46080/46200]	Loss: 0.8685	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.6706	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7051, Train Accuracy: 0.7726
Epoch 16 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7408, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6267	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.6963	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6703, Train Accuracy: 0.7831
Epoch 17 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7452, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5439	LR: 0.020000
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Training Epoch: 18 [9216/46200]	Loss: 0.6908	LR: 0.020000
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Training Epoch: 18 [9728/46200]	Loss: 0.7191	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.6542	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.6678	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.8171	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.6586	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.6732	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.7029	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.6177	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.6608	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.8086	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.7040	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.6927	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.6891	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.5991	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.6704	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.6569	LR: 0.020000
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Training Epoch: 18 [15616/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.6257	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.6381	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.7157	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.6997	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6567	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.7291	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.6084	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.7836	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.6439	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6638	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.6885	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.7125	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.7549	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.6020	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.6243	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.6775	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.6987	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.6346	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.7408	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.6234	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.6558	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.6454	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.6961	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.6611	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.6218	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.6762	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.6709	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.7101	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.6295	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.7780	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.7385	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.6640	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.6350	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.6339	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.6198	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6937	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.6830	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.6526	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.6818	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.6770	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.4898	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.7109	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.7157	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.6736	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.7059	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.6791	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.6999	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.6823	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.6515	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.7614	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.7257	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.6642	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.6813	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6856	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.7239	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.7751	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.7056	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.7409	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.7109	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.6870	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.6672	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.6870	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.7028	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.6323	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.7258	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.6163	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.5975	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.5806	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.7432	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.7253	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6474, Train Accuracy: 0.7907
Epoch 18 training time consumed: 24.97s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7380, Time consumed:0.90s
Training Epoch: 19 [256/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.6967	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.6696	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.6864	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.6754	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.7099	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.6506	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.6418	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.6956	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.6546	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.7388	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.8047	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.6591	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.6529	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.6198	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.6502	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.6764	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.6894	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.6052	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.7175	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6242	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.7520	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.7263	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.6665	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.7196	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.6387	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.6566	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.7474	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.8235	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.7245	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.6625	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.7303	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.5780	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6308	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.6205	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.6749	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5834	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.6831	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.6694	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.6510	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.6748	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.7276	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.7059	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.6941	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.6805	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6627	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.7155	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.6900	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.6509	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.6911	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.5892	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.6259	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.7636	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.5860	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.6253	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.6649	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.6319	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.6856	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.7190	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.6885	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.7074	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.6357	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.6715	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6339	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.7305	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.6106	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.6748	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.7348	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.6769	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.6592	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.6973	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.7884	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.6942	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.8101	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.7742	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.4999	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.6143	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.5961	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.6650	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6364, Train Accuracy: 0.7946
Epoch 19 training time consumed: 25.50s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0035, Accuracy: 0.7307, Time consumed:0.89s
Training Epoch: 20 [256/46200]	Loss: 0.6272	LR: 0.020000
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Training Epoch: 20 [46080/46200]	Loss: 0.6143	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.5906	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6156, Train Accuracy: 0.8016
Epoch 20 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7486, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.7203	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.5959	LR: 0.020000
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Training Epoch: 21 [16384/46200]	Loss: 0.5338	LR: 0.020000
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Training Epoch: 21 [16896/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.6381	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.6445	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.6292	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5573	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.5975	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.6568	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6048	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.6864	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.6253	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.7112	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.7064	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.6991	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.6563	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.6064	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.7262	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5511	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.7057	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.6945	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.7018	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.6976	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5938	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.6920	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.6699	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.6568	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.6570	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.6496	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.6946	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.6840	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.6541	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6430	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.7572	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.6540	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.5383	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.6807	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6868	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.8132	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.7556	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.6361	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.6092	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5996, Train Accuracy: 0.8074
Epoch 21 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7350, Time consumed:0.86s
Training Epoch: 22 [256/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.6483	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.6377	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.6972	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.6634	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.6779	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.7001	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.5771	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.7543	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.6288	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.5951	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.6801	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5860	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.6462	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.6442	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.6612	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.6235	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.6229	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5602	LR: 0.020000
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Training Epoch: 22 [14592/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.6269	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.6297	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.6467	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.6489	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.6295	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.5819	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.6361	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.6374	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.6896	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.6332	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.7727	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.6320	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4790	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.4986	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.6161	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6699	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.6151	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.6380	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.4568	LR: 0.020000
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Training Epoch: 22 [32256/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.6808	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.6350	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.7053	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.7033	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.6471	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.6798	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.5876	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5964	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.6011	LR: 0.020000
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Training Epoch: 22 [39424/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.6908	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.6672	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.6746	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.5573	LR: 0.020000
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Training Epoch: 22 [42240/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 22 [42496/46200]	Loss: 0.5880	LR: 0.020000
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Training Epoch: 22 [43264/46200]	Loss: 0.7025	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5567	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.6585	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.7115	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.6692	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.6798	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5869, Train Accuracy: 0.8102
Epoch 22 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7315, Time consumed:0.90s
Training Epoch: 23 [256/46200]	Loss: 0.4996	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.6713	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.6200	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.6452	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.6305	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.5876	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.5394	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.5276	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.6067	LR: 0.020000
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Training Epoch: 23 [15104/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.6227	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.6852	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5969	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.6217	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.6764	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.7130	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.6403	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5624	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.6275	LR: 0.020000
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Training Epoch: 23 [26880/46200]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 23 [27392/46200]	Loss: 0.5170	LR: 0.020000
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Training Epoch: 23 [28160/46200]	Loss: 0.6122	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.7098	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.5702	LR: 0.020000
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Training Epoch: 23 [29440/46200]	Loss: 0.5314	LR: 0.020000
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Training Epoch: 23 [34304/46200]	Loss: 0.5987	LR: 0.020000
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Training Epoch: 23 [35328/46200]	Loss: 0.6672	LR: 0.020000
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Training Epoch: 23 [36096/46200]	Loss: 0.7242	LR: 0.020000
Training Epoch: 23 [36352/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.6647	LR: 0.020000
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Training Epoch: 23 [37376/46200]	Loss: 0.5987	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.7232	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.5649	LR: 0.020000
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Training Epoch: 23 [39168/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.6519	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.7256	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.6494	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.6001	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.6484	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.6959	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.6902	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.7419	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5892	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5732, Train Accuracy: 0.8148
Epoch 23 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7398, Time consumed:0.93s
Training Epoch: 24 [256/46200]	Loss: 0.5816	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.6076	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.6651	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4774	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.4747	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.6694	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.5936	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.6503	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.6913	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.5498	LR: 0.020000
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Training Epoch: 24 [9984/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.5003	LR: 0.020000
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Training Epoch: 24 [11008/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.6032	LR: 0.020000
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Training Epoch: 24 [13312/46200]	Loss: 0.6071	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.5901	LR: 0.020000
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Training Epoch: 24 [15360/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.5106	LR: 0.020000
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Training Epoch: 24 [17408/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.6276	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.6595	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.6837	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5237	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.6731	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.5244	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.4658	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.6226	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.5938	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.5850	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 24 [26112/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 24 [26368/46200]	Loss: 0.5270	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.6517	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.6295	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.5936	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5381	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.6015	LR: 0.020000
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Training Epoch: 24 [34304/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 24 [34560/46200]	Loss: 0.6355	LR: 0.020000
Training Epoch: 24 [34816/46200]	Loss: 0.5899	LR: 0.020000
Training Epoch: 24 [35072/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 24 [35328/46200]	Loss: 0.6044	LR: 0.020000
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Training Epoch: 24 [36352/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 24 [36608/46200]	Loss: 0.6450	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.5699	LR: 0.020000
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Training Epoch: 24 [37888/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 24 [38144/46200]	Loss: 0.7153	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.6105	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.4730	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.6394	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.6200	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.6583	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.6881	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.6822	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.5384	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5590, Train Accuracy: 0.8197
Epoch 24 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0039, Accuracy: 0.7205, Time consumed:0.84s
Training Epoch: 25 [256/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5658	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5473	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.5906	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.4392	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.5920	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.4438	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.4253	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.4810	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.6492	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.5205	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.4520	LR: 0.020000
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Training Epoch: 25 [19200/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.5351	LR: 0.020000
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Training Epoch: 25 [24576/46200]	Loss: 0.5421	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.5336	LR: 0.020000
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Training Epoch: 25 [27392/46200]	Loss: 0.6872	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5853	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.5372	LR: 0.020000
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Training Epoch: 25 [30720/46200]	Loss: 0.6074	LR: 0.020000
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Training Epoch: 25 [35840/46200]	Loss: 0.7070	LR: 0.020000
Training Epoch: 25 [36096/46200]	Loss: 0.5612	LR: 0.020000
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Training Epoch: 25 [36608/46200]	Loss: 0.5606	LR: 0.020000
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Training Epoch: 25 [37632/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 25 [37888/46200]	Loss: 0.7156	LR: 0.020000
Training Epoch: 25 [38144/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 25 [38400/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.6253	LR: 0.020000
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Training Epoch: 25 [39168/46200]	Loss: 0.5384	LR: 0.020000
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Training Epoch: 25 [39936/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.6285	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.6295	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.6561	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.6936	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.6783	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4382	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5497, Train Accuracy: 0.8203
Epoch 25 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7354, Time consumed:0.86s
Training Epoch: 26 [256/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.6380	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.5685	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.4596	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.4015	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.5027	LR: 0.020000
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Training Epoch: 26 [7168/46200]	Loss: 0.4137	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.5816	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.5943	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5639	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.6545	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.4846	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.6456	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5201	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.5330	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.6708	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.5410	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.6238	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.6492	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.4722	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5776	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4566	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5557	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5197	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.5194	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.6196	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5968	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.6465	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5289	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.6052	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.6298	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.5028	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5168	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.6661	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.6436	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5374	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5387, Train Accuracy: 0.8254
Epoch 26 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0034, Accuracy: 0.7452, Time consumed:0.93s
Training Epoch: 27 [256/46200]	Loss: 0.4757	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4791	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.6113	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5953	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4539	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.6499	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.5028	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.6298	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4580	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.6872	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5582	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4934	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.6349	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.5397	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.6354	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5243	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.5037	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.6505	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5662	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5371	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5987	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.4779	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4428	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.6854	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.5465	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.6257	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4794	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.6869	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5285, Train Accuracy: 0.8295
Epoch 27 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0036, Accuracy: 0.7351, Time consumed:0.87s
Training Epoch: 28 [256/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.4035	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.4548	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5540	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.4330	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.5810	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.4511	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.5475	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.4572	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.4804	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.5465	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.5687	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.5179	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.4722	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.5286	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.4730	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 28 [24320/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 28 [24576/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 28 [24832/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.4987	LR: 0.020000
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Training Epoch: 28 [25600/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 28 [25856/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.5410	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.5391	LR: 0.020000
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Training Epoch: 28 [30208/46200]	Loss: 0.5631	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.5441	LR: 0.020000
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Training Epoch: 28 [30976/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.4943	LR: 0.020000
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Training Epoch: 28 [31744/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.5150	LR: 0.020000
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Training Epoch: 28 [34304/46200]	Loss: 0.5397	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.4423	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.6025	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.6204	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.5850	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.6882	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.6502	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5369	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.7707	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.6903	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5215, Train Accuracy: 0.8310
Epoch 28 training time consumed: 24.87s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7306, Time consumed:0.86s
Training Epoch: 29 [256/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.5086	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.7158	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.5004	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.4479	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.5857	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.5076	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5164	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.4399	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3842	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4291	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3951	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.6261	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.4226	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.4810	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5174	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.4586	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.5791	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4504	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5000	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.5286	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.6854	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.4639	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.6199	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.6999	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4914	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5163, Train Accuracy: 0.8318
Epoch 29 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0036, Accuracy: 0.7352, Time consumed:0.89s
Training Epoch: 30 [256/46200]	Loss: 0.5276	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.5573	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3932	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.4921	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.5661	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4307	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3951	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4186	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.4815	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.5227	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4392	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4802	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3950	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4205	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.3898	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4224	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.4055	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4043	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.3449	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.3797	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.4588	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4487	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.3554	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.3938	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.3824	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.4300	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4464	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.5005	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.5341	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.3850	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.3854	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4454	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.4048	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4824	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.3565	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.4183	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4029	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.4216	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.5082	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3580	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.3514	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.4109	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3460	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.4620	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.3925	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.4071	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.3250	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.3770	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.3417	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.4064	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.4192	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.4084	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.5219	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4498	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.4288	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.4072	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3697	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.4918	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.4085	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.4098	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.3577	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.3831	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3111	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3635	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.4414	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.4141	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.4543	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.3903	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3938	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3074	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.4099	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.3941	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3636	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.5133	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.3538	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3479	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.4004	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.4070	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.3536	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4194	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.3207	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.3862	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.4153	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.4314	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.4212	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3363	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3757	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.4309	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.4091	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3487	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.3496	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.4215	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3297	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.3936	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.4263	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.4262	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.4510	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.4922	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3523	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3756	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.4355	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.4461	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.3851	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.3616	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.3871	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.3844	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.4039	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.4504	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.3541	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.4143	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.3574	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3378	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.3558	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.3570	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.3796	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3739	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.3095	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3517	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.4193	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.4025	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3652	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.5090	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.3233	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.3762	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.4527	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3937	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3874	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.3857	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3646	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.4070	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.4047	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.3929	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3357	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.4137	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.3674	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3823	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.4964	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.3160	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.3572	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.4332	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.3588	LR: 0.004000
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Training Epoch: 30 [42496/46200]	Loss: 0.3569	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.3883	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.3167	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.5074	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3391	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.3876	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.4114	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3807	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.3685	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2989	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.3801	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3859	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3282	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.4496	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3991, Train Accuracy: 0.8742
Epoch 30 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7780, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3562	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.3714	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.4557	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.3409	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.4376	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3883	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.3408	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.3788	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.3564	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.3793	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3456	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.3630	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.3924	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.2841	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.3674	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.4287	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3668, Train Accuracy: 0.8871
Epoch 31 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7816, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3638	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3830	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.3230	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3514	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.4026	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.2904	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.3008	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.4347	LR: 0.004000
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Training Epoch: 32 [18688/46200]	Loss: 0.4006	LR: 0.004000
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Training Epoch: 32 [19200/46200]	Loss: 0.3324	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.2943	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.3476	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.2885	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.3545	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.3154	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.3843	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.3698	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3774	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3613	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.3307	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.2964	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.3809	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.4306	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.3593	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3952	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3301	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.4827	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.3187	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.4306	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.4203	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3667	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3808	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.4103	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.3371	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.3750	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3346	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.4403	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.4312	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.3882	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.2925	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.3490	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.3636	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.3308	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.3127	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.4319	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.4054	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.4010	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.3614	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.3333	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.3310	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.3466	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.3388	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.3097	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.3549	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.2950	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3442	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.2728	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3497	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3508	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.3824	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.3861	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.4092	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.3250	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.3828	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.3426	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.2779	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.4125	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.2690	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.3162	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.3756	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3893	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.4192	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.4043	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.3266	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.2944	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.3116	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.4131	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.3533	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.2907	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.3991	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.3560	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3845	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.2833	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.3811	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3031	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.4248	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.3907	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.3288	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3592	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.3411	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.4018	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3289	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.3638	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.3628	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.2973	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.2939	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3311	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3186	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.3446	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.3575	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3615	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.3750	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3530	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.3544	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.5625	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3530, Train Accuracy: 0.8911
Epoch 32 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7783, Time consumed:0.88s
Training Epoch: 33 [256/46200]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.2659	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.2579	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.4036	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3666	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.2702	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.3169	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.3526	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.4282	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.3681	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.3519	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.3690	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.3064	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.3285	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.2851	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.2799	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.3560	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.3887	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.3732	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.2696	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.3677	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.3737	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.3656	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3050	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.3431	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3087	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.3686	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.3182	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.3705	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.3153	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.3665	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.2854	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.3038	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.4092	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.2650	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.3377	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.2952	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3674	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3087	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.3170	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3078	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.3057	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.3441	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.4341	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.3351	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.3717	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.3176	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.3118	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.2853	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.3088	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.3109	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.3387	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.2984	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.3014	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.3310	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.3962	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.2929	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.2775	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.4551	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.3018	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.3537	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.3348	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.3094	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3841	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.4041	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.3120	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.3790	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.2576	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.2973	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3608	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.3955	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.3006	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.3003	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.2730	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.4120	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.3978	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.3501	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.3635	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.3614	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.3173	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.4530	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.3972	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.3632	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.2816	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.3403	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.4755	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.3003	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3949	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.4145	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.3222	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3901	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3896	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.2874	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.2797	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.3391	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.3033	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.4352	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3510	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.2989	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.2987	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.4046	LR: 0.004000
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Training Epoch: 33 [32256/46200]	Loss: 0.3649	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.3136	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3235	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.2787	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.3288	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.4331	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.3431	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.3725	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.3291	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.3931	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.3406	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.3939	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.3431	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.3276	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.2622	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3441	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.2733	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.3937	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.3320	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.3396	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.3312	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3179	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.2706	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.3272	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.3401	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.3118	LR: 0.004000
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Training Epoch: 33 [44544/46200]	Loss: 0.3641	LR: 0.004000
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Training Epoch: 33 [46080/46200]	Loss: 0.2706	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3528	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3406, Train Accuracy: 0.8950
Epoch 33 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7798, Time consumed:0.86s
Training Epoch: 34 [256/46200]	Loss: 0.3302	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.3188	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.3763	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.2843	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.3722	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.3634	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.3581	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.3710	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.3228	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.3496	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.3039	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.3294	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.3328	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.3728	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.3176	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.2664	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.3382	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.3237	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.3031	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.3433	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.2912	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.2912	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.3479	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.4160	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.3474	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.3881	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.3202	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.3063	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.3112	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.3709	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.4249	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.2920	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.3366	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.2513	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.4425	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.2775	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.3043	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.3240	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.3511	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.4283	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.3403	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.3056	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.2902	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.3034	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.3258	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.3288	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.2847	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.3415	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.3645	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.4502	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.3023	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.3219	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.3245	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.3578	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.2953	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.4180	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.3652	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.3251	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.3377	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.2901	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.3350	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.3900	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.3726	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.3422	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.3214	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.3514	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.3843	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.3971	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.2534	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.3069	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.3444	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.2839	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.3061	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.4362	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.3534	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.2948	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.2567	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.2769	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.3057	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.3266	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.3075	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.3571	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.3314	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.2615	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.2999	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.3558	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.4487	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.3198	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.3227	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.3524	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.3159	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.2260	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.3123	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.2648	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.3838	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.2969	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.3131	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.3488	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.2865	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.2944	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.3242	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.2475	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.3004	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.3578	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.3485	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.2291	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.2834	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.3658	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.3522	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.2772	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.3409	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.3850	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.3343	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.3556	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.2344	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.2979	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.2792	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.3703	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.4115	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.3456	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.3743	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.3085	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.3182	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.3025	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.3134	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.4625	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.2584	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.4213	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.2886	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.3442	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.3271	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.3435	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.2869	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.3521	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.3016	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.2916	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.4592	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.3239	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.3685	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.2953	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.3793	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.4025	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.3457	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.2773	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.4021	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.3171	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.2904	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.3358	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.2633	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.2638	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.3434	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.3732	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3323, Train Accuracy: 0.8982
Epoch 34 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7754, Time consumed:0.86s
Training Epoch: 35 [256/46200]	Loss: 0.2775	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.3426	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.2884	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.3667	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.3958	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.2785	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.2658	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.3265	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.2984	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.2602	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.3666	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.2862	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.3113	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.3358	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.2232	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.4141	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.3908	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.3063	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.2462	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.3647	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.3442	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.3289	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.3986	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.3250	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.3013	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.2815	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.3274	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.3778	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.3548	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.3531	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.3529	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.3417	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.4223	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.3395	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.2901	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.2877	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.4002	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.2888	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.3269	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.3240	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.2701	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.2728	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.3125	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.2433	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.3605	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.3030	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.3498	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.3590	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.2920	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.4023	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.3569	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.3755	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.3350	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.2431	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.3223	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.3665	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.2350	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.3721	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.2914	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.2752	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.3383	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.2638	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.3890	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.3600	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.3085	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.3000	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.3485	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.3300	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.3379	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.3505	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.3486	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.2787	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.3067	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.2836	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.3403	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.2944	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.3082	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.3348	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.3566	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.2724	LR: 0.000800
Training Epoch: 35 [30464/46200]	Loss: 0.2765	LR: 0.000800
Training Epoch: 35 [30720/46200]	Loss: 0.3498	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.2533	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.3679	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.3696	LR: 0.000800
Training Epoch: 35 [32000/46200]	Loss: 0.3020	LR: 0.000800
Training Epoch: 35 [32256/46200]	Loss: 0.2697	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.3462	LR: 0.000800
Training Epoch: 35 [32768/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 35 [33024/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [33280/46200]	Loss: 0.3173	LR: 0.000800
Training Epoch: 35 [33536/46200]	Loss: 0.3567	LR: 0.000800
Training Epoch: 35 [33792/46200]	Loss: 0.3373	LR: 0.000800
Training Epoch: 35 [34048/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 35 [34304/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 35 [34560/46200]	Loss: 0.3664	LR: 0.000800
Training Epoch: 35 [34816/46200]	Loss: 0.2673	LR: 0.000800
Training Epoch: 35 [35072/46200]	Loss: 0.3102	LR: 0.000800
Training Epoch: 35 [35328/46200]	Loss: 0.3536	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 35 [35840/46200]	Loss: 0.2822	LR: 0.000800
Training Epoch: 35 [36096/46200]	Loss: 0.3011	LR: 0.000800
Training Epoch: 35 [36352/46200]	Loss: 0.3128	LR: 0.000800
Training Epoch: 35 [36608/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 35 [36864/46200]	Loss: 0.2689	LR: 0.000800
Training Epoch: 35 [37120/46200]	Loss: 0.3528	LR: 0.000800
Training Epoch: 35 [37376/46200]	Loss: 0.2318	LR: 0.000800
Training Epoch: 35 [37632/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [37888/46200]	Loss: 0.3291	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 35 [38400/46200]	Loss: 0.3215	LR: 0.000800
Training Epoch: 35 [38656/46200]	Loss: 0.3531	LR: 0.000800
Training Epoch: 35 [38912/46200]	Loss: 0.2683	LR: 0.000800
Training Epoch: 35 [39168/46200]	Loss: 0.2304	LR: 0.000800
Training Epoch: 35 [39424/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.3405	LR: 0.000800
Training Epoch: 35 [39936/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 35 [40192/46200]	Loss: 0.3189	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.3255	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.3179	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.2381	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.2666	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.3756	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.3230	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.2905	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.3247	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2643	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.3181	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3513	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.3078	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.2720	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.2736	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.3663	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.2549	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3126, Train Accuracy: 0.9052
Epoch 35 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7816, Time consumed:0.85s
Training Epoch: 36 [256/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.3564	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.3355	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.2526	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.3831	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.3494	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.2701	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.3004	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.2850	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.3045	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.2503	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.3147	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.2972	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.2972	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.3585	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.2231	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.2870	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.2954	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.2397	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.2973	LR: 0.000800
Training Epoch: 36 [8192/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 36 [8448/46200]	Loss: 0.3064	LR: 0.000800
Training Epoch: 36 [8704/46200]	Loss: 0.3037	LR: 0.000800
Training Epoch: 36 [8960/46200]	Loss: 0.2948	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.2742	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.2914	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.3469	LR: 0.000800
Training Epoch: 36 [10496/46200]	Loss: 0.3497	LR: 0.000800
Training Epoch: 36 [10752/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.2423	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.2391	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.2435	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.2581	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.2417	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.2869	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.3398	LR: 0.000800
Training Epoch: 36 [13056/46200]	Loss: 0.3596	LR: 0.000800
Training Epoch: 36 [13312/46200]	Loss: 0.2510	LR: 0.000800
Training Epoch: 36 [13568/46200]	Loss: 0.3607	LR: 0.000800
Training Epoch: 36 [13824/46200]	Loss: 0.2760	LR: 0.000800
Training Epoch: 36 [14080/46200]	Loss: 0.2650	LR: 0.000800
Training Epoch: 36 [14336/46200]	Loss: 0.2302	LR: 0.000800
Training Epoch: 36 [14592/46200]	Loss: 0.3448	LR: 0.000800
Training Epoch: 36 [14848/46200]	Loss: 0.3221	LR: 0.000800
Training Epoch: 36 [15104/46200]	Loss: 0.3305	LR: 0.000800
Training Epoch: 36 [15360/46200]	Loss: 0.2725	LR: 0.000800
Training Epoch: 36 [15616/46200]	Loss: 0.2358	LR: 0.000800
Training Epoch: 36 [15872/46200]	Loss: 0.3319	LR: 0.000800
Training Epoch: 36 [16128/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [16384/46200]	Loss: 0.2731	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.2326	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.3522	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.2599	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.2935	LR: 0.000800
Training Epoch: 36 [17664/46200]	Loss: 0.2940	LR: 0.000800
Training Epoch: 36 [17920/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 36 [18176/46200]	Loss: 0.2610	LR: 0.000800
Training Epoch: 36 [18432/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 36 [18688/46200]	Loss: 0.3057	LR: 0.000800
Training Epoch: 36 [18944/46200]	Loss: 0.2553	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.2628	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.3135	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.2898	LR: 0.000800
Training Epoch: 36 [20224/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 36 [20480/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 36 [20736/46200]	Loss: 0.3720	LR: 0.000800
Training Epoch: 36 [20992/46200]	Loss: 0.2894	LR: 0.000800
Training Epoch: 36 [21248/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 36 [21504/46200]	Loss: 0.3500	LR: 0.000800
Training Epoch: 36 [21760/46200]	Loss: 0.2295	LR: 0.000800
Training Epoch: 36 [22016/46200]	Loss: 0.3139	LR: 0.000800
Training Epoch: 36 [22272/46200]	Loss: 0.3029	LR: 0.000800
Training Epoch: 36 [22528/46200]	Loss: 0.2462	LR: 0.000800
Training Epoch: 36 [22784/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 36 [23040/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 36 [23296/46200]	Loss: 0.3212	LR: 0.000800
Training Epoch: 36 [23552/46200]	Loss: 0.2302	LR: 0.000800
Training Epoch: 36 [23808/46200]	Loss: 0.3290	LR: 0.000800
Training Epoch: 36 [24064/46200]	Loss: 0.2195	LR: 0.000800
Training Epoch: 36 [24320/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 36 [24576/46200]	Loss: 0.2646	LR: 0.000800
Training Epoch: 36 [24832/46200]	Loss: 0.3323	LR: 0.000800
Training Epoch: 36 [25088/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 36 [25344/46200]	Loss: 0.2676	LR: 0.000800
Training Epoch: 36 [25600/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.2565	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.3844	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.3633	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.3629	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.2953	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.2919	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.3263	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.2891	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.2945	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.3709	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.3150	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.3241	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.3297	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.2515	LR: 0.000800
Training Epoch: 36 [31744/46200]	Loss: 0.2222	LR: 0.000800
Training Epoch: 36 [32000/46200]	Loss: 0.3225	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.2705	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.2617	LR: 0.000800
Training Epoch: 36 [33024/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 36 [33280/46200]	Loss: 0.3372	LR: 0.000800
Training Epoch: 36 [33536/46200]	Loss: 0.3430	LR: 0.000800
Training Epoch: 36 [33792/46200]	Loss: 0.3197	LR: 0.000800
Training Epoch: 36 [34048/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 36 [34304/46200]	Loss: 0.3611	LR: 0.000800
Training Epoch: 36 [34560/46200]	Loss: 0.3617	LR: 0.000800
Training Epoch: 36 [34816/46200]	Loss: 0.3484	LR: 0.000800
Training Epoch: 36 [35072/46200]	Loss: 0.3193	LR: 0.000800
Training Epoch: 36 [35328/46200]	Loss: 0.2478	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.3529	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.2787	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.3529	LR: 0.000800
Training Epoch: 36 [37376/46200]	Loss: 0.2921	LR: 0.000800
Training Epoch: 36 [37632/46200]	Loss: 0.3440	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.3435	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.3622	LR: 0.000800
Training Epoch: 36 [38400/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 36 [38656/46200]	Loss: 0.3097	LR: 0.000800
Training Epoch: 36 [38912/46200]	Loss: 0.3544	LR: 0.000800
Training Epoch: 36 [39168/46200]	Loss: 0.3135	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.3254	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.3395	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.3334	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.3226	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.3260	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.3602	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.3968	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.2614	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.3980	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.3454	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.3236	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.2840	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3782	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3482	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.3278	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.2693	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.3122	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3016, Train Accuracy: 0.9086
Epoch 36 training time consumed: 25.55s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7815, Time consumed:0.93s
Training Epoch: 37 [256/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.2523	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2704	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.1972	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2291	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.3028	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.3087	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.3111	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.2470	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.3281	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.2372	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.3679	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3277	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.3156	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.3165	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.3251	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.3416	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.2598	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.3198	LR: 0.000800
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Training Epoch: 37 [43520/46200]	Loss: 0.2159	LR: 0.000800
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Training Epoch: 37 [44032/46200]	Loss: 0.2210	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3264	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.2623	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.3338	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.3123	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.3545	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2979, Train Accuracy: 0.9098
Epoch 37 training time consumed: 25.39s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7823, Time consumed:1.43s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.3255	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.2672	LR: 0.000800
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Training Epoch: 38 [33536/46200]	Loss: 0.2995	LR: 0.000800
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Training Epoch: 38 [43520/46200]	Loss: 0.3279	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.3397	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.3133	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.3250	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.2588	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.2557	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2353	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.3058	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.3268	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.2795	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.3437	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2995, Train Accuracy: 0.9108
Epoch 38 training time consumed: 25.65s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7834, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_04m_43s/AllCNN-Cifar20-seed7-ret25-38-best.pth
Training Epoch: 39 [256/46200]	Loss: 0.3007	LR: 0.000800
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Training Epoch: 39 [43520/46200]	Loss: 0.2364	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.2948	LR: 0.000800
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Training Epoch: 39 [44288/46200]	Loss: 0.2566	LR: 0.000800
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Training Epoch: 39 [44800/46200]	Loss: 0.2964	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.2566	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.3121	LR: 0.000800
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Training Epoch: 39 [45824/46200]	Loss: 0.2667	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.3554	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.2886	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2948, Train Accuracy: 0.9115
Epoch 39 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7834, Time consumed:0.84s
Training Epoch: 40 [256/46200]	Loss: 0.2809	LR: 0.000800
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Training Epoch: 40 [1024/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.3098	LR: 0.000800
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Training Epoch: 40 [13312/46200]	Loss: 0.2074	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.2773	LR: 0.000800
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Training Epoch: 40 [18944/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.2596	LR: 0.000800
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Training Epoch: 40 [19712/46200]	Loss: 0.2915	LR: 0.000800
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Training Epoch: 40 [20736/46200]	Loss: 0.2137	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.2696	LR: 0.000800
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Training Epoch: 40 [21504/46200]	Loss: 0.2742	LR: 0.000800
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Training Epoch: 40 [24576/46200]	Loss: 0.3720	LR: 0.000800
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Training Epoch: 40 [25088/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.2815	LR: 0.000800
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Training Epoch: 40 [28416/46200]	Loss: 0.3068	LR: 0.000800
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Training Epoch: 40 [29440/46200]	Loss: 0.3121	LR: 0.000800
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Training Epoch: 40 [30976/46200]	Loss: 0.3634	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.2339	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.2447	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.2716	LR: 0.000800
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Training Epoch: 40 [32512/46200]	Loss: 0.2813	LR: 0.000800
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Training Epoch: 40 [34304/46200]	Loss: 0.3246	LR: 0.000800
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Training Epoch: 40 [34816/46200]	Loss: 0.2544	LR: 0.000800
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Training Epoch: 40 [35328/46200]	Loss: 0.2458	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.3539	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.3180	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.2950	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.2872	LR: 0.000800
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Training Epoch: 40 [37120/46200]	Loss: 0.3610	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.2783	LR: 0.000800
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Training Epoch: 40 [37888/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.2577	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.2790	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.3619	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.2865	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.2195	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.3285	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.2338	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.2914	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.3402	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.2346	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2321	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.3675	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.3380	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.3173	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.3297	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.3544	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.2516	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2615	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.3976	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2923, Train Accuracy: 0.9131
Epoch 40 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7826, Time consumed:1.00s
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: 78.330078125
Retain Accuracy: 91.9505386352539
Zero-Retain Forget (ZRF): 0.9135600924491882
Membership Inference Attack (MIA): 0.4436842105263158
Forget vs Retain Membership Inference Attack (MIA): 0.5335526315789474
Forget vs Test Membership Inference Attack (MIA): 0.5453947368421053
Test vs Retain Membership Inference Attack (MIA): 0.4945
Train vs Test Membership Inference Attack (MIA): 0.56025
Forget Set Accuracy (Df): 78.09317016601562
Method Execution Time: 1543.17 seconds
