
📌 Retain class distribution for seed 1:
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

📌 Forget class distribution for seed 1:
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: 3.0510	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0840	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0973	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0660	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0695	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0043	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9453	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9107	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9524	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9247	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9176	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9481	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9501	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8797	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.7964	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.7954	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8455	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7939	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.6822	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.7265	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7648	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.8027	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.6572	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7773	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.8316	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.6818	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7689	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7516	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6731	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7032	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.7314	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7134	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6442	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.5838	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5293	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.5802	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6474	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6289	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.7956	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6131	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6630	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.7709	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6664	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5892	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5266	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5925	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5437	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.7235	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6482	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5487	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6090	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5596	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.6731	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.6152	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5919	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.6638	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5466	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.6282	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5081	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.4786	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.6849	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.6756	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5420	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.6358	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5123	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5620	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.6545	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5482	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5095	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5850	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.6909	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.4539	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4955	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5552	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5271	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5733	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.7306	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5156	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5830	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4863	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5197	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5156	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4712	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.3520	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4859	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.3133	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5217	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5843	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5236	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5548	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5546	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5230	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4569	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.6107	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4989	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.5299	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5867	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.3652	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.2732	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4766	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4798	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.5103	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4364	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5124	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4771	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4441	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4306	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.3827	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.5276	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.6118	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4759	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.2061	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.3840	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3887	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3929	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4045	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.3573	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.5735	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3967	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3131	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.5146	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4811	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4441	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.5072	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.2407	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4698	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.3743	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3735	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4425	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.5533	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4539	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4619	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.3141	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.3072	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.5152	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4263	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3806	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3162	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3881	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4089	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4396	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3834	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4064	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3918	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3443	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4270	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3070	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3367	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.4098	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3060	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4065	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3656	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3714	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2909	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3245	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4125	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4153	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4239	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3955	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3800	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.4757	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.4482	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3975	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3822	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3583	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3970	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3393	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4557	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4597	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3009	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3567	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3015	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.4044	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3663	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.5968	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.2529	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.4435	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3633	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.4604	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.4135	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.4700	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5459, Train Accuracy: 0.2145
Epoch 1 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0105, Accuracy: 0.2403, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.4329	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.5194	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3353	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.2568	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3721	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3962	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3626	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.4033	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2631	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1851, Train Accuracy: 0.3223
Epoch 2 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0084, Accuracy: 0.3448, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8080	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9311, Train Accuracy: 0.3935
Epoch 3 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0084, Accuracy: 0.3717, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8584	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.8356	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7253, Train Accuracy: 0.4553
Epoch 4 training time consumed: 27.37s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0065, Accuracy: 0.4839, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6484	LR: 0.100000
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Training Epoch: 5 [15872/46200]	Loss: 1.6107	LR: 0.100000
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Training Epoch: 5 [16384/46200]	Loss: 1.8006	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.5807	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.5381	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.6167	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.5609	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.5803	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.6620	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.5907	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.4787	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.6059	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.6519	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.4901	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.5055	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.6913	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.5831	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.5626	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.6531	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.6075	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.6081	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.6528	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.6108	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.5750	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.6753	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.5437	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.4528	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.6299	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.5995	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.6061	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.5887	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.4995	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.7668	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.6323	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.4962	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.6249	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.4204	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.4379	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.5497	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.5937	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.5792	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.6369	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.5014	LR: 0.100000
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Training Epoch: 5 [27136/46200]	Loss: 1.5207	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.4811	LR: 0.100000
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Training Epoch: 5 [27904/46200]	Loss: 1.6279	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.4704	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.5566	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.3444	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.5514	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.5847	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.5852	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.5949	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.6687	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.5211	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.5398	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.4307	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.5091	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.6065	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.5726	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.4384	LR: 0.100000
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Training Epoch: 5 [32512/46200]	Loss: 1.6177	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.6277	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.5527	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.4773	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.5989	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.3632	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.5653	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.6555	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.4300	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.5691	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.4020	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.5494	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.5846	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.6530	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.5310	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.4436	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.5359	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.4754	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.4714	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.6055	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.5688	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.4492	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.4627	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.5944	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.5593	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.6414	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.5870	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.6131	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.6650	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.5999	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.5173	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.6437	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.7515	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.3275	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.5713	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.4763	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.4886	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.6006	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.6332	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.6405	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.6208	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.5473	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.5398	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.4595	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.5826	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.3625	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.4221	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.4461	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.4627	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.7751	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.5071	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.5300	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.5082	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.4381	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5666, Train Accuracy: 0.5026
Epoch 5 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0075, Accuracy: 0.4461, Time consumed:0.85s
Training Epoch: 6 [256/46200]	Loss: 1.4690	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.6103	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.5190	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.4429	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.4042	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.3910	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.5063	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.6570	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.5243	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.4893	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.4760	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.3622	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.4520	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.4660	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.4741	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.5202	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.5273	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.5116	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.3531	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.5653	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.3358	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.4558	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.5882	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.4081	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.3632	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.6319	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.5356	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.2995	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.2555	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.5116	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.3732	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.5528	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.3649	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.5047	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.5342	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.4741	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.4271	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.3832	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.4883	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.6255	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.4676	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.4495	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.4537	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.4672	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.4011	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.4092	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.4891	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.4859	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.3633	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.5806	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.4447	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.4676	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.4996	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.3594	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.4728	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.3655	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.4732	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.3460	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.4842	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.4614	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.3909	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.3745	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.4665	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.3301	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.4651	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.3708	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.4697	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.3901	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.3748	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.4555	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.4577	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.5228	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.3818	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.4133	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.5063	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.3748	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.5340	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.4531	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.4590	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.4034	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.4394	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.5976	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.3691	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.4765	LR: 0.100000
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Training Epoch: 6 [22016/46200]	Loss: 1.4500	LR: 0.100000
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Training Epoch: 6 [22528/46200]	Loss: 1.3973	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.4799	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.4575	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.5727	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.4474	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.3129	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.3737	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.3758	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.2791	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.4731	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.3897	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.4153	LR: 0.100000
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Training Epoch: 6 [25856/46200]	Loss: 1.4518	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.3471	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.3249	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.4181	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.5073	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.3864	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.3596	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.3857	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.4438	LR: 0.100000
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Training Epoch: 6 [28416/46200]	Loss: 1.2967	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.3931	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.4142	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.3464	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.3665	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.3951	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.3922	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.3185	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.5116	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.4537	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.5759	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.3345	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.3524	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.3598	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.3739	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.6145	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.3585	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.4009	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.3827	LR: 0.100000
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Training Epoch: 6 [33536/46200]	Loss: 1.4055	LR: 0.100000
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Training Epoch: 6 [34304/46200]	Loss: 1.6024	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.3648	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.4000	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.4361	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.2489	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.3702	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.3059	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.4007	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.2359	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.4294	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.3392	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.4793	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.2820	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.5299	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.4855	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.3736	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.3317	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.5064	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.2691	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.4094	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.2849	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.2201	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.2988	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.4064	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.3973	LR: 0.100000
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Training Epoch: 6 [40960/46200]	Loss: 1.6865	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.4376	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.3746	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.4704	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.4274	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.5016	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.4327	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.3422	LR: 0.100000
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Training Epoch: 6 [43264/46200]	Loss: 1.4537	LR: 0.100000
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Training Epoch: 6 [43776/46200]	Loss: 1.3793	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.3441	LR: 0.100000
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Training Epoch: 6 [46080/46200]	Loss: 1.4735	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.4146	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4312, Train Accuracy: 0.5420
Epoch 6 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0056, Accuracy: 0.5614, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2519	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.2735	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3082, Train Accuracy: 0.5803
Epoch 7 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0058, Accuracy: 0.5436, Time consumed:0.88s
Training Epoch: 8 [256/46200]	Loss: 1.2635	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1536	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2193, Train Accuracy: 0.6068
Epoch 8 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0052, Accuracy: 0.5957, Time consumed:0.83s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.1178	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.2474	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1417, Train Accuracy: 0.6316
Epoch 9 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0050, Accuracy: 0.6049, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1534	LR: 0.100000
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Training Epoch: 10 [8448/46200]	Loss: 0.9745	LR: 0.100000
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Training Epoch: 10 [10752/46200]	Loss: 0.9938	LR: 0.100000
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Training Epoch: 10 [12800/46200]	Loss: 1.0249	LR: 0.100000
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Training Epoch: 10 [13312/46200]	Loss: 1.1190	LR: 0.100000
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Training Epoch: 10 [16640/46200]	Loss: 1.1384	LR: 0.100000
Training Epoch: 10 [16896/46200]	Loss: 1.0893	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 1.0666	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.1901	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.1752	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.1815	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.0905	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.1928	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 0.9478	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1232	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.0547	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1922	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.0669	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.2075	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.0481	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 0.9830	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 0.9858	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 1.1322	LR: 0.100000
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Training Epoch: 10 [21504/46200]	Loss: 1.1474	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.1549	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 0.9747	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.1680	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.0176	LR: 0.100000
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Training Epoch: 10 [23040/46200]	Loss: 0.9527	LR: 0.100000
Training Epoch: 10 [23296/46200]	Loss: 1.0804	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.0252	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 1.1337	LR: 0.100000
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Training Epoch: 10 [24832/46200]	Loss: 1.1482	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.0647	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 1.1531	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.1055	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.1273	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 1.0702	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 0.9510	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.0435	LR: 0.100000
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Training Epoch: 10 [27392/46200]	Loss: 0.9942	LR: 0.100000
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Training Epoch: 10 [27904/46200]	Loss: 1.0210	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.1874	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.0090	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.0319	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.0891	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.0876	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 0.9256	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 1.1388	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.0228	LR: 0.100000
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Training Epoch: 10 [30464/46200]	Loss: 1.0208	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.1346	LR: 0.100000
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Training Epoch: 10 [31232/46200]	Loss: 1.2298	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 1.0119	LR: 0.100000
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Training Epoch: 10 [32000/46200]	Loss: 1.0624	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 1.1793	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 1.2045	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 1.0952	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 1.1452	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.1093	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 1.0811	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 1.2607	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.0088	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 1.0213	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 1.0882	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 0.9119	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 0.9568	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.0618	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.1342	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.0207	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.2174	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.0612	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.0459	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.0417	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.1518	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.3266	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.2118	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.1112	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.0832	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 0.9744	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1099	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.0932	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.1428	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.0498	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0484	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.0588	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.0962	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.0322	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.1111	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.2029	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.0653	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.0236	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.1218	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.1062	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.0711	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.0464	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.1635	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 0.9794	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 0.9783	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.0220	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.0068	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.0391	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.0436	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.0925	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.2099	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.0443	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.1721	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1970	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.3196	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0791, Train Accuracy: 0.6508
Epoch 10 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0056, Accuracy: 0.5753, Time consumed:0.83s
Training Epoch: 11 [256/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.0463	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 1.0576	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.0753	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 1.0293	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.0252	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 0.9766	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 0.8946	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.1863	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.0163	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.0279	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 0.9001	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 1.0551	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 0.9875	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 0.9969	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 1.0618	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 1.0628	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 0.9245	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 1.1430	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.0829	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.1773	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.1722	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.0547	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 0.8777	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.0526	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 0.9374	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.0144	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 0.9223	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.1048	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 0.9952	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 0.9869	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.0846	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.0126	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 0.8040	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 0.9372	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.0005	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.0762	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 1.0945	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.0909	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 0.9074	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 0.9348	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 0.8835	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.1480	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.1145	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 0.9052	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 1.0117	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 1.0989	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 0.9732	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 1.1693	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.0356	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.0913	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.0190	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.1018	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 0.9974	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 1.0842	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.0187	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 1.0625	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.0092	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 0.9683	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 0.9981	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 0.9821	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.0410	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 0.9241	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.0493	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.0691	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.0511	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 0.9845	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 0.8686	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.0102	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 0.9572	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 0.9962	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.1235	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.1142	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 0.8831	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 0.9809	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.1948	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.0926	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 0.8819	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 0.9691	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 0.8506	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 1.0191	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 0.8588	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 1.0203	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 0.9649	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 0.9615	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.1711	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 0.9463	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 0.9952	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.0784	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.0384	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.1545	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 0.9662	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 0.9828	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.0004	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 0.9445	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.0372	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 0.9952	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 1.0043	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 1.0741	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 0.9386	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 0.9468	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 1.0993	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 0.9012	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.0387	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 0.9807	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.0793	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.0520	LR: 0.100000
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Training Epoch: 11 [28416/46200]	Loss: 1.0309	LR: 0.100000
Training Epoch: 11 [28672/46200]	Loss: 0.9617	LR: 0.100000
Training Epoch: 11 [28928/46200]	Loss: 1.1323	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 1.1101	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.1088	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 0.9310	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 1.0598	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 0.9780	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.0628	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 0.9364	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 0.9815	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 0.9341	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 0.8714	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 0.8792	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 1.1083	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.0205	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.0900	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.1264	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.0379	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 1.0215	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 0.9869	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 1.0160	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 1.1030	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.8784	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 0.9424	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 0.9561	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 1.0521	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.0100	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.1627	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 0.9430	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.1390	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.0484	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 0.8993	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 0.8601	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0807	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 0.9008	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.0466	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 0.9753	LR: 0.100000
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Training Epoch: 11 [46200/46200]	Loss: 1.0788	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0136, Train Accuracy: 0.6727
Epoch 11 training time consumed: 27.35s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.6061, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 0.8298	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.0610	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9774, Train Accuracy: 0.6836
Epoch 12 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6484, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.9608	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.8841	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9356, Train Accuracy: 0.6982
Epoch 13 training time consumed: 27.40s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0046, Accuracy: 0.6486, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-13-best.pth
Training Epoch: 14 [256/46200]	Loss: 0.9959	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 0.9853	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9091, Train Accuracy: 0.7058
Epoch 14 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0045, Accuracy: 0.6505, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.8716	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6135	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6689, Train Accuracy: 0.7803
Epoch 15 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7552, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-15-best.pth
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Training Epoch: 16 [29440/46200]	Loss: 0.5431	LR: 0.020000
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Training Epoch: 16 [46200/46200]	Loss: 0.4945	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5890, Train Accuracy: 0.8068
Epoch 16 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0031, Accuracy: 0.7541, Time consumed:0.86s
Training Epoch: 17 [256/46200]	Loss: 0.6406	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.4910	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5532, Train Accuracy: 0.8194
Epoch 17 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7659, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5797	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 0.5614	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5246, Train Accuracy: 0.8266
Epoch 18 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7714, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-18-best.pth
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Training Epoch: 19 [36096/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.5724	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.4385	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4957, Train Accuracy: 0.8355
Epoch 19 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7642, Time consumed:0.88s
Training Epoch: 20 [256/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.4950	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.4224	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.4266	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.4172	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.5816	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.5473	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.4128	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.3707	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.4804	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.4660	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.5565	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.5199	LR: 0.020000
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Training Epoch: 20 [15360/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.4689	LR: 0.020000
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Training Epoch: 20 [18432/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.4955	LR: 0.020000
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Training Epoch: 20 [21504/46200]	Loss: 0.5635	LR: 0.020000
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Training Epoch: 20 [22016/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.4579	LR: 0.020000
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Training Epoch: 20 [26112/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 20 [26368/46200]	Loss: 0.4790	LR: 0.020000
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Training Epoch: 20 [27392/46200]	Loss: 0.5649	LR: 0.020000
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Training Epoch: 20 [27904/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.4903	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.5599	LR: 0.020000
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Training Epoch: 20 [30720/46200]	Loss: 0.4212	LR: 0.020000
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Training Epoch: 20 [36608/46200]	Loss: 0.4684	LR: 0.020000
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Training Epoch: 20 [37376/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.4799	LR: 0.020000
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Training Epoch: 20 [38400/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.4819	LR: 0.020000
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Training Epoch: 20 [39168/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.4690	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.4508	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.5315	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.4940	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.5714	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.4129	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.4718	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4811, Train Accuracy: 0.8420
Epoch 20 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7691, Time consumed:0.91s
Training Epoch: 21 [256/46200]	Loss: 0.5259	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.3214	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.4465	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.4112	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.4497	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.4113	LR: 0.020000
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Training Epoch: 21 [9472/46200]	Loss: 0.5489	LR: 0.020000
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Training Epoch: 21 [9984/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.3496	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.4993	LR: 0.020000
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Training Epoch: 21 [13056/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.4492	LR: 0.020000
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Training Epoch: 21 [15104/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.3936	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.4322	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.4811	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4330	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4345	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4692	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.4500	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.4269	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4530	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4399	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.5927	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4079	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.4809	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.4896	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.5582	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.4835	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5408	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4551, Train Accuracy: 0.8484
Epoch 21 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7690, Time consumed:0.86s
Training Epoch: 22 [256/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.3922	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5004	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.3315	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.3723	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.3910	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4607	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.3159	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.4579	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4730	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.3404	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.3428	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4560	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4487	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.3846	LR: 0.020000
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Training Epoch: 22 [14848/46200]	Loss: 0.3120	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.4160	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.3836	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.4980	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4116	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4359	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4226	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.4521	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.3700	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.3933	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4165	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.3080	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4903	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4250	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4438	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.3445	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.3723	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4090	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.6278	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.3972	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5773	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.3490	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4355	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.4748	LR: 0.020000
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Training Epoch: 22 [43776/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4580	LR: 0.020000
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Training Epoch: 22 [46080/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4812	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4356, Train Accuracy: 0.8559
Epoch 22 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7702, Time consumed:0.91s
Training Epoch: 23 [256/46200]	Loss: 0.4312	LR: 0.020000
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Training Epoch: 23 [46080/46200]	Loss: 0.3986	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.6434	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4216, Train Accuracy: 0.8597
Epoch 23 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7737, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-23-best.pth
Training Epoch: 24 [256/46200]	Loss: 0.4445	LR: 0.020000
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Training Epoch: 24 [768/46200]	Loss: 0.3808	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3613	LR: 0.020000
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Training Epoch: 24 [1536/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.4105	LR: 0.020000
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Training Epoch: 24 [46080/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.3916	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4071, Train Accuracy: 0.8643
Epoch 24 training time consumed: 27.41s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0030, Accuracy: 0.7773, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-24-best.pth
Training Epoch: 25 [256/46200]	Loss: 0.3473	LR: 0.020000
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Training Epoch: 25 [46200/46200]	Loss: 0.4236	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3895, Train Accuracy: 0.8708
Epoch 25 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7738, Time consumed:0.90s
Training Epoch: 26 [256/46200]	Loss: 0.2848	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3104	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3985	LR: 0.020000
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Training Epoch: 26 [3328/46200]	Loss: 0.3835	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3664	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.2895	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.4079	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.3568	LR: 0.020000
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Training Epoch: 26 [8192/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3955	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3087	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3793	LR: 0.020000
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Training Epoch: 26 [10496/46200]	Loss: 0.3473	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3206	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.2853	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.2289	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.3900	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.3292	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3082	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.2935	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.2654	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3194	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.3038	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.4089	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3022	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.2864	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.2796	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3723	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.2989	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3682	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3163	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.4340	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3164	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3269	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4091	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3823	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.3064	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3356	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3571	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.3138	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.4460	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3771, Train Accuracy: 0.8736
Epoch 26 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7618, Time consumed:0.86s
Training Epoch: 27 [256/46200]	Loss: 0.4072	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3054	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.2513	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3398	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3113	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3942	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3571	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.3263	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3265	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3582	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.2866	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.2890	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.2920	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3466	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.2992	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.2919	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3016	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3038	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3576	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3062	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3174	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.2833	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4334	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3345	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3223	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.4112	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3011	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.2784	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3433	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3554	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3403	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.3473	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3186	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.2847	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3856	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3558	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3486	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3907	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3840	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.2979	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.2711	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3602	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3137	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3102	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.2931	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3015	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.2671	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.4413	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3695	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.2755	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.3322	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3010	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.4404	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3278	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.3150	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3065	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3384	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.4269	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.3821	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.3719	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.3262	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3610, Train Accuracy: 0.8787
Epoch 27 training time consumed: 27.47s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0031, Accuracy: 0.7734, Time consumed:0.85s
Training Epoch: 28 [256/46200]	Loss: 0.2782	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.2662	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3067	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2717	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.2687	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.2853	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3644	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3272	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3346	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.2655	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.2853	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.2603	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3166	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.2408	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3073	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3153	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.2821	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2639	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.2979	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.3073	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3480	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.2421	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3353	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.2545	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.2590	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.2978	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3072	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.2659	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.2388	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.3189	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.3433	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3273	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.2761	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.3463	LR: 0.020000
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Training Epoch: 28 [14848/46200]	Loss: 0.3290	LR: 0.020000
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Training Epoch: 28 [15360/46200]	Loss: 0.2934	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.2820	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.3214	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.2507	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.3088	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3188	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3799	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.2964	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3179	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.2726	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.3363	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3351	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3713	LR: 0.020000
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Training Epoch: 28 [23808/46200]	Loss: 0.3771	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.4363	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.4059	LR: 0.020000
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Training Epoch: 28 [27136/46200]	Loss: 0.3495	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.3185	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3832	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.3087	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3942	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3956	LR: 0.020000
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Training Epoch: 28 [30464/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.2361	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.2750	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.4154	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.4035	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.2999	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.3103	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3296	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.4359	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4446	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.4460	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3815	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3044	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.3245	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.3755	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3514	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3580	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3252	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3382	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3568	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3280	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.5107	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3509, Train Accuracy: 0.8843
Epoch 28 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7629, Time consumed:0.90s
Training Epoch: 29 [256/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2799	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3105	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.2697	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3672	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.2633	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.3900	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.3687	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.3331	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.2995	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3252	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.2895	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3568	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.2643	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.2981	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3644	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.2071	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.2558	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.2402	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.2893	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.2831	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.2999	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4265	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.2886	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.2493	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.2435	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3672	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.2887	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3024	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3640	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3000	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3269	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3584	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3270	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3576	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.4131	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.2373	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3260	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4062	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.3349	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.2568	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.2608	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3475	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4069	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.2767	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.2696	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3497	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.2319	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3595	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.4504	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3051	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3827	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.2547	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.3046	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3808	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.2452	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.3798	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3167	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.3094	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.2905	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.2863	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3101	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.2984	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.2829	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.2943	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.3558	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3770	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3086	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.3432	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.2339	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3073	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.2714	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4287	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3310	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.3148	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.3372	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3442, Train Accuracy: 0.8845
Epoch 29 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0032, Accuracy: 0.7754, Time consumed:0.88s
Training Epoch: 30 [256/46200]	Loss: 0.2766	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3297	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.2870	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3121	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3451	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2256	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2922	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.2635	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.1939	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3552	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.2576	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2767	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2128	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2652	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2904	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2310	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2825	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2525	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2418	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2859	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2448	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2480	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.3444	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2116	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2926	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.3282	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2475	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.1962	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2525	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2608	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.1944	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2286	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2768	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2343	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2242	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2022	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2369	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2255	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2290	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2377	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.3134	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2493	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2194	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2654	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2362	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2376	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2948	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.2291	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2232	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.1988	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2294	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2612	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2507	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.2215	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2452	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2034	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.2399	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2883	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.2675	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2057	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2425	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.2255	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2265	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2496	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2150	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2646	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.1860	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.2500	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.1728	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2626	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.1880	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.1627	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2557	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2262	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2648	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2797	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2307	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.1749	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2123	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2828	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.1953	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.1844	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.1561	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2480	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.1966	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2800	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2485	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2390	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.1851	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.1724	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.2452	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2227	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.1829	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2717	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2316	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1518	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.2594	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2112	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.2056	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.1577	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2531	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2038	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.1581	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2000	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2603	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.1676	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.1931	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2376	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1312	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1927	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.1770	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2225	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2038	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.1864	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2338	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2477	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2110	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2117	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2135	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.1959	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.1459	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.1873	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.1869	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2606	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2224	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.1941	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.2135	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1431	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2132	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.1605	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2210	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2532	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.1901	LR: 0.004000
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Training Epoch: 30 [43008/46200]	Loss: 0.2339	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.1819	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.1715	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2237	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.2716	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2299	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.2192	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1720	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.1903	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.1953	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.1865	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2483	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.2154	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2258, Train Accuracy: 0.9283
Epoch 30 training time consumed: 27.41s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8054, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1899	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.1964	LR: 0.004000
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Training Epoch: 31 [1280/46200]	Loss: 0.1773	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.1481	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.1437	LR: 0.004000
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Training Epoch: 31 [44288/46200]	Loss: 0.2473	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.2321	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1805	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.2080	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1744	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.1601	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.2134	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.1850	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1835, Train Accuracy: 0.9437
Epoch 31 training time consumed: 27.40s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8065, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1129	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.1815	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.1998	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.1639	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.1492	LR: 0.004000
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Training Epoch: 32 [2048/46200]	Loss: 0.1332	LR: 0.004000
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Training Epoch: 32 [17920/46200]	Loss: 0.1530	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.1722	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.1376	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.2124	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.1677	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.1544	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.1876	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.1343	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.1848	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.1509	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.1412	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.1693	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.1684	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.1517	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.1954	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.1245	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.1957	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.1990	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.1571	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.1700	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.1611	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.1652	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.1781	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.1482	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.2088	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.1353	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.1660	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.1587	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.1454	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.1571	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.1466	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.1921	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.2159	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.1785	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.1694	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.1863	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.1542	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.1179	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.2044	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.1581	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.1484	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.1909	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.1463	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.1371	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.1362	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.2063	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.1330	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.2292	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.2084	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.1571	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.1635	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.1241	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.1611	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.1703	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.2094	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.1958	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.2026	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.1460	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.1531	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.1334	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.1380	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.1276	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.1646	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.1614	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.1514	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.1458	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.1224	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.1294	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.1572	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.1598	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.1989	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.2144	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.1818	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1557	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1294	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1810	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.1829	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1948	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1647	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.1726	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.1669	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1675	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.1054	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1512	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1624, Train Accuracy: 0.9514
Epoch 32 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8025, Time consumed:0.86s
Training Epoch: 33 [256/46200]	Loss: 0.1579	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.1130	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.1641	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.1106	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.1222	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.1979	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.1236	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.1582	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.1422	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.1307	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.1838	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.1773	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.1631	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.1620	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.1296	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.1838	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.1126	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.1841	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.2152	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.1879	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.1968	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.1809	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.1256	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.1725	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.1460	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.1647	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.2048	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.1368	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.1048	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.1633	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.1938	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.2122	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.1634	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.1893	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.1339	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.1526	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.1527	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.0883	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.1756	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.1501	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.1268	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.2241	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.1195	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.1298	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.1507	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.1350	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.1500	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.1156	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.1464	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.1945	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.1257	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.1180	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.1249	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.1671	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.1882	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.1211	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.1632	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.1490	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.1646	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.1026	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.2123	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.1747	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.2293	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.1197	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.2214	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.1760	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.1724	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.1513	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.1787	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.2098	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.2107	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.1158	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.1155	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.2070	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.1292	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.0865	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.1723	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.1502	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.1654	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.1757	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.1742	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.1125	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.1966	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.1471	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.1893	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.1042	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.1729	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.1089	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.1808	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.2012	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.0996	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.2076	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.1930	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.1649	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.1709	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.1483	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.1243	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.1794	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.1999	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.1269	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.2160	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.1854	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.1277	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.2189	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.1395	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.1271	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.1514	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.1150	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.1080	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.1491	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.1536	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.1791	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.2041	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.1469	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.1285	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.1790	LR: 0.004000
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Training Epoch: 33 [42496/46200]	Loss: 0.1330	LR: 0.004000
Training Epoch: 33 [42752/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 33 [43008/46200]	Loss: 0.1862	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.1588	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.1326	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.1294	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.1383	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.1915	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.1892	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.1847	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1244	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.2705	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1561, Train Accuracy: 0.9530
Epoch 33 training time consumed: 27.34s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8030, Time consumed:0.90s
Training Epoch: 34 [256/46200]	Loss: 0.1144	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1761	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1280	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1048	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1237	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.0966	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1505	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1809	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.1066	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1350	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1362	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.1544	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.1277	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1720	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.1656	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1162	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.1616	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1273	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.1054	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1043	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1088	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1055	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.0859	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1112	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.0890	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1259	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1872	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1130	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1659	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1674	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1536	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1184	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.1032	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.1807	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.0984	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1178	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1547	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.1572	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.1847	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.2030	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1889	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1663	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1442	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.1004	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1149	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1681	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.1254	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.1050	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1569	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1738	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1750	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.1037	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1590	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.2108	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.1844	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.1245	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.1120	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1148	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1455	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1118	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.1103	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1332	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1827	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.1686	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1750	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1562	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.1357	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1394	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.1861	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1162	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.1008	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1035	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1657	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1516	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1280	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1299	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1699	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1083	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1171	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.1017	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.0925	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1400	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1001	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.1921	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.1639	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1478	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.1052	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1464	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1817	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1352	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1696	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.1229	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.1727	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1014	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1217	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1946	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1602	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1171	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1170	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.1178	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1102	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.0983	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1814	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1406, Train Accuracy: 0.9573
Epoch 34 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8051, Time consumed:0.88s
Training Epoch: 35 [256/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1782	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.1863	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1497	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1311	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1458	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1585	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1476	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.0849	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.1474	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.1497	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.1212	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1632	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.1488	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.1653	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.1656	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.1975	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.1824	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.1439	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.1837	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1515	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1231	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.1781	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.1158	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1458	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1637	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.0903	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1226	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.0762	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1545	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.0978	LR: 0.000800
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Training Epoch: 35 [26368/46200]	Loss: 0.1013	LR: 0.000800
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Training Epoch: 35 [27904/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1414	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.1387	LR: 0.000800
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Training Epoch: 35 [37376/46200]	Loss: 0.0916	LR: 0.000800
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Training Epoch: 35 [40704/46200]	Loss: 0.1217	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.0806	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1622	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1426	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1860	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1314	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1239, Train Accuracy: 0.9634
Epoch 35 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8093, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.0820	LR: 0.000800
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Training Epoch: 36 [3328/46200]	Loss: 0.1666	LR: 0.000800
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Training Epoch: 36 [3840/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.1422	LR: 0.000800
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Training Epoch: 36 [5376/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1051	LR: 0.000800
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Training Epoch: 36 [6656/46200]	Loss: 0.1239	LR: 0.000800
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Training Epoch: 36 [26368/46200]	Loss: 0.0972	LR: 0.000800
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Training Epoch: 36 [27392/46200]	Loss: 0.0975	LR: 0.000800
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Training Epoch: 36 [29184/46200]	Loss: 0.1038	LR: 0.000800
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Training Epoch: 36 [35328/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.1013	LR: 0.000800
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Training Epoch: 36 [36096/46200]	Loss: 0.1523	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.1337	LR: 0.000800
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Training Epoch: 36 [37888/46200]	Loss: 0.1097	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1066	LR: 0.000800
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Training Epoch: 36 [40960/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.0997	LR: 0.000800
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Training Epoch: 36 [41728/46200]	Loss: 0.1441	LR: 0.000800
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Training Epoch: 36 [42240/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1374	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1478	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1483	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1436	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1228	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1661	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1471	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1178	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1222, Train Accuracy: 0.9643
Epoch 36 training time consumed: 27.39s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8103, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.1202	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1489	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1597	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0805	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.0804	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1738	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.1308	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1451	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.1523	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1125	LR: 0.000800
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Training Epoch: 37 [41984/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.0878	LR: 0.000800
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Training Epoch: 37 [43264/46200]	Loss: 0.1113	LR: 0.000800
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Training Epoch: 37 [43776/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1719	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1560	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1139	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.0888	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1970	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1150, Train Accuracy: 0.9673
Epoch 37 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8110, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.1081	LR: 0.000800
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Training Epoch: 38 [31744/46200]	Loss: 0.1205	LR: 0.000800
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Training Epoch: 38 [39680/46200]	Loss: 0.1214	LR: 0.000800
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Training Epoch: 38 [40192/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1058	LR: 0.000800
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Training Epoch: 38 [41216/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.0638	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.0807	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1822	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1124, Train Accuracy: 0.9685
Epoch 38 training time consumed: 27.47s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8118, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_00m_07s/ResNet18-Cifar20-seed1-ret25-38-best.pth
Training Epoch: 39 [256/46200]	Loss: 0.1427	LR: 0.000800
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Training Epoch: 39 [768/46200]	Loss: 0.0933	LR: 0.000800
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Training Epoch: 39 [1280/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.0980	LR: 0.000800
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Training Epoch: 39 [4608/46200]	Loss: 0.1613	LR: 0.000800
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Training Epoch: 39 [5376/46200]	Loss: 0.1451	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1137	LR: 0.000800
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Training Epoch: 39 [6656/46200]	Loss: 0.0931	LR: 0.000800
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Training Epoch: 39 [8960/46200]	Loss: 0.1433	LR: 0.000800
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Training Epoch: 39 [9472/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1357	LR: 0.000800
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Training Epoch: 39 [13568/46200]	Loss: 0.1168	LR: 0.000800
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Training Epoch: 39 [29696/46200]	Loss: 0.1116	LR: 0.000800
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Training Epoch: 39 [36096/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.0843	LR: 0.000800
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Training Epoch: 39 [37120/46200]	Loss: 0.1368	LR: 0.000800
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Training Epoch: 39 [37632/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.0777	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1396	LR: 0.000800
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Training Epoch: 39 [39424/46200]	Loss: 0.1332	LR: 0.000800
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Training Epoch: 39 [40192/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1003	LR: 0.000800
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Training Epoch: 39 [40960/46200]	Loss: 0.1450	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.0972	LR: 0.000800
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Training Epoch: 39 [41728/46200]	Loss: 0.1148	LR: 0.000800
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Training Epoch: 39 [42240/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.0839	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1415	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1454	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1099, Train Accuracy: 0.9687
Epoch 39 training time consumed: 27.39s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8103, Time consumed:0.94s
Training Epoch: 40 [256/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.1434	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.1085	LR: 0.000800
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Training Epoch: 40 [2816/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.0906	LR: 0.000800
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Training Epoch: 40 [3840/46200]	Loss: 0.1096	LR: 0.000800
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Training Epoch: 40 [11520/46200]	Loss: 0.0569	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.0843	LR: 0.000800
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Training Epoch: 40 [19200/46200]	Loss: 0.0852	LR: 0.000800
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Training Epoch: 40 [19968/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.1189	LR: 0.000800
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Training Epoch: 40 [22016/46200]	Loss: 0.1646	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.0751	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.1227	LR: 0.000800
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Training Epoch: 40 [24576/46200]	Loss: 0.1114	LR: 0.000800
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Training Epoch: 40 [27136/46200]	Loss: 0.1001	LR: 0.000800
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Training Epoch: 40 [27904/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.1304	LR: 0.000800
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Training Epoch: 40 [29440/46200]	Loss: 0.0722	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.1446	LR: 0.000800
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Training Epoch: 40 [30464/46200]	Loss: 0.0988	LR: 0.000800
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Training Epoch: 40 [31232/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.0953	LR: 0.000800
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Training Epoch: 40 [32000/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.0912	LR: 0.000800
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Training Epoch: 40 [33536/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.1226	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1311	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.1479	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.1430	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.0926	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.1375	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.1363	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.1385	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.1523	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1251	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.0758	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.0980	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1067, Train Accuracy: 0.9705
Epoch 40 training time consumed: 27.46s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8112, Time consumed:0.87s
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: 81.26953125
Retain Accuracy: 97.42906188964844
Zero-Retain Forget (ZRF): 0.9034626483917236
Membership Inference Attack (MIA): 0.595
Forget vs Retain Membership Inference Attack (MIA): 0.5835526315789473
Forget vs Test Membership Inference Attack (MIA): 0.5282894736842105
Test vs Retain Membership Inference Attack (MIA): 0.57075
Train vs Test Membership Inference Attack (MIA): 0.607
Forget Set Accuracy (Df): 79.01427459716797
Method Execution Time: 2078.77 seconds
