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

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

📊 Updated class distribution:
Retain set:
  Class 0: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.1364	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1084	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0951	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0678	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 2.9921	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 2.9786	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9523	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9369	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.8880	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9142	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9145	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.8699	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8454	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9020	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8772	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8018	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8794	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.9327	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8082	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.6872	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7341	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.6443	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.6095	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.6854	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6305	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7005	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7308	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.6404	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6413	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6802	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6884	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6166	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6469	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.5755	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5347	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.7593	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6854	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.5837	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6779	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.5905	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6459	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6157	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5097	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6521	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5381	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6033	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5570	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5254	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5034	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5044	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6213	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5752	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4924	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.6493	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5929	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5760	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6390	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.6772	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5727	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5791	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.8006	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5453	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.6461	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.6031	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5881	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5034	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.4698	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5183	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5316	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5718	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5255	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.4683	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5455	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5097	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5451	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5533	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4396	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4605	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.6473	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5330	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5322	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4778	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5211	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.5381	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.7306	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4856	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5102	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5182	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.6144	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4866	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5884	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4808	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4416	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4856	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.6639	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.3648	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4163	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5454	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5467	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3499	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5987	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4261	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4523	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4255	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4566	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.5444	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.3406	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5883	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3413	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.3679	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4505	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4932	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5504	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5263	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.6191	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4696	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4121	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4610	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4689	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5429	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3694	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.3506	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.6150	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.5358	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4196	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.5650	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4684	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3376	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.3526	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4031	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3340	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4757	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.3595	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.5319	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3965	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.5106	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3254	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4009	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.5002	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3786	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.2430	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4991	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3562	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.6106	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.5040	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.3612	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3862	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3519	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.4052	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3864	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3928	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3064	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3769	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.4750	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3512	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4269	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.2722	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4337	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3573	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.4503	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3047	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.2515	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4026	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.4199	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.5553	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3663	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.6110	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3864	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2882	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3918	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3777	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.4588	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.5243	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.2634	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3571	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.6914	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.4914	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3742	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.5885	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.4376	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.2638	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5505, Train Accuracy: 0.2155
Epoch 1 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0116, Accuracy: 0.1989, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3359	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4836	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.4088	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3483	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2852	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.4477	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3024	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.4191	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.4511	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1534, Train Accuracy: 0.3296
Epoch 2 training time consumed: 27.50s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3587, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.9066	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9259, Train Accuracy: 0.3946
Epoch 3 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0074, Accuracy: 0.4220, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8456	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5696	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7251, Train Accuracy: 0.4555
Epoch 4 training time consumed: 27.61s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0070, Accuracy: 0.4578, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6739	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5485, Train Accuracy: 0.5083
Epoch 5 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0060, Accuracy: 0.5182, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.6944	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4194, Train Accuracy: 0.5478
Epoch 6 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0060, Accuracy: 0.5351, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3549	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.2262	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3098, Train Accuracy: 0.5790
Epoch 7 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0057, Accuracy: 0.5577, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.1159	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.2799	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2121, Train Accuracy: 0.6087
Epoch 8 training time consumed: 27.44s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0057, Accuracy: 0.5669, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.2051	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.0798	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1452, Train Accuracy: 0.6314
Epoch 9 training time consumed: 27.35s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0052, Accuracy: 0.5855, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 0.8673	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0740, Train Accuracy: 0.6514
Epoch 10 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6302, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-10-best.pth
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Training Epoch: 11 [37120/46200]	Loss: 1.0188	LR: 0.100000
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Training Epoch: 11 [37632/46200]	Loss: 1.1097	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0284	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.0416	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.0690	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.0252	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.1162	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.0620	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 0.9408	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0148	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 1.0690	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 0.8974	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.0617	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 1.0390	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.0106	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 1.0893	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 1.1176	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 0.9623	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 0.9693	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 0.9576	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 1.1623	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 0.9569	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.0888	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0394	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 1.0937	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 0.9518	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 1.0582	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.0204	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 0.9819	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.1323	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 0.9944	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 0.9121	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.2134	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 0.8664	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0279, Train Accuracy: 0.6659
Epoch 11 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0047, Accuracy: 0.6271, Time consumed:0.88s
Training Epoch: 12 [256/46200]	Loss: 0.9821	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 0.9407	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 0.8787	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 0.9525	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 1.0226	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 1.0223	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 1.0084	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 0.8234	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 0.9447	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 0.9014	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 0.9230	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 0.9558	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 0.9180	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 0.9919	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 0.9800	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 0.9962	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 0.9101	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 0.9708	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 0.9386	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 0.7889	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 0.8315	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 1.0936	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 1.1003	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 1.0373	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 0.9953	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 0.8980	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 1.0997	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 0.8265	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 0.9387	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 0.9735	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 0.9702	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 0.9557	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 0.9080	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 1.0146	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 0.8959	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 1.0202	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 0.8088	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 0.7523	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 0.9338	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 1.0311	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 0.8993	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 0.8521	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 0.9078	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 0.9116	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 1.0052	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 0.9162	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 0.9081	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 0.9891	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 0.9952	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 0.9025	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.0189	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 1.1646	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 0.9512	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0706	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 0.8664	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 0.9519	LR: 0.100000
Training Epoch: 12 [14848/46200]	Loss: 0.9531	LR: 0.100000
Training Epoch: 12 [15104/46200]	Loss: 1.0099	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 0.9434	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 0.8781	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 1.0064	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 0.9924	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 0.8033	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 0.9592	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 0.9980	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 0.8867	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 0.8109	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 0.9964	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 0.8851	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 0.8843	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 0.9557	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 1.0410	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 0.8818	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 1.0255	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 1.0191	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 0.9935	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 0.9286	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 1.0046	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 1.0568	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 1.0200	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 0.9860	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 0.9561	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 1.0477	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 1.0173	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 0.9681	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 1.0222	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 0.9759	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 1.0416	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 0.9822	LR: 0.100000
Training Epoch: 12 [23552/46200]	Loss: 1.0578	LR: 0.100000
Training Epoch: 12 [23808/46200]	Loss: 0.9392	LR: 0.100000
Training Epoch: 12 [24064/46200]	Loss: 0.9688	LR: 0.100000
Training Epoch: 12 [24320/46200]	Loss: 0.9926	LR: 0.100000
Training Epoch: 12 [24576/46200]	Loss: 1.0936	LR: 0.100000
Training Epoch: 12 [24832/46200]	Loss: 1.0226	LR: 0.100000
Training Epoch: 12 [25088/46200]	Loss: 0.9082	LR: 0.100000
Training Epoch: 12 [25344/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 12 [25600/46200]	Loss: 0.9170	LR: 0.100000
Training Epoch: 12 [25856/46200]	Loss: 1.0174	LR: 0.100000
Training Epoch: 12 [26112/46200]	Loss: 1.0531	LR: 0.100000
Training Epoch: 12 [26368/46200]	Loss: 0.9128	LR: 0.100000
Training Epoch: 12 [26624/46200]	Loss: 1.0452	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9488	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 1.0233	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 0.9966	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 1.0302	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 1.0368	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 0.9661	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 0.9767	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 1.0024	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 1.0648	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 1.0607	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 0.9591	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 0.9420	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 0.9240	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 0.9776	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 1.0529	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 0.9733	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 12 [31744/46200]	Loss: 1.0132	LR: 0.100000
Training Epoch: 12 [32000/46200]	Loss: 0.9672	LR: 0.100000
Training Epoch: 12 [32256/46200]	Loss: 0.9532	LR: 0.100000
Training Epoch: 12 [32512/46200]	Loss: 1.0085	LR: 0.100000
Training Epoch: 12 [32768/46200]	Loss: 1.0875	LR: 0.100000
Training Epoch: 12 [33024/46200]	Loss: 0.9180	LR: 0.100000
Training Epoch: 12 [33280/46200]	Loss: 1.0092	LR: 0.100000
Training Epoch: 12 [33536/46200]	Loss: 0.9938	LR: 0.100000
Training Epoch: 12 [33792/46200]	Loss: 0.8252	LR: 0.100000
Training Epoch: 12 [34048/46200]	Loss: 0.8816	LR: 0.100000
Training Epoch: 12 [34304/46200]	Loss: 0.9545	LR: 0.100000
Training Epoch: 12 [34560/46200]	Loss: 1.0384	LR: 0.100000
Training Epoch: 12 [34816/46200]	Loss: 1.0180	LR: 0.100000
Training Epoch: 12 [35072/46200]	Loss: 1.0921	LR: 0.100000
Training Epoch: 12 [35328/46200]	Loss: 1.0765	LR: 0.100000
Training Epoch: 12 [35584/46200]	Loss: 1.0772	LR: 0.100000
Training Epoch: 12 [35840/46200]	Loss: 0.9292	LR: 0.100000
Training Epoch: 12 [36096/46200]	Loss: 0.9552	LR: 0.100000
Training Epoch: 12 [36352/46200]	Loss: 1.0745	LR: 0.100000
Training Epoch: 12 [36608/46200]	Loss: 1.1175	LR: 0.100000
Training Epoch: 12 [36864/46200]	Loss: 1.0036	LR: 0.100000
Training Epoch: 12 [37120/46200]	Loss: 0.9948	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 1.0061	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 1.0391	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 0.9106	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 1.0140	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 0.9873	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 1.0687	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 1.0566	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 0.9125	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 0.8190	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 0.9763	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 1.1185	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 0.9529	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 1.1496	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.0493	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 0.9907	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 1.0677	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 0.9528	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 0.9435	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 0.8788	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 1.0632	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 0.8818	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 1.0234	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 0.9435	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 1.0941	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 0.8832	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 0.9988	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 1.0072	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 0.9135	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 1.1242	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 0.9229	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 0.8568	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.0013	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 1.1191	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 0.9403	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 1.0545	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.9608	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9774, Train Accuracy: 0.6823
Epoch 12 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0048, Accuracy: 0.6296, Time consumed:0.95s
Training Epoch: 13 [256/46200]	Loss: 0.9765	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 0.9919	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 0.9206	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 1.0575	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 1.0191	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 0.8619	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 0.8816	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 0.9790	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 1.0081	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.8810	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 0.8942	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 0.9449	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.9359	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.9655	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 0.9583	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 0.8864	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 0.8066	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 0.7687	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 0.8984	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 0.8784	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.8687	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 0.8182	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 0.8854	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 0.8409	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 1.0645	LR: 0.100000
Training Epoch: 13 [6912/46200]	Loss: 0.7596	LR: 0.100000
Training Epoch: 13 [7168/46200]	Loss: 0.7978	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 0.8478	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 1.0263	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.9932	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 0.9746	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 0.8770	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 1.0161	LR: 0.100000
Training Epoch: 13 [8960/46200]	Loss: 0.7888	LR: 0.100000
Training Epoch: 13 [9216/46200]	Loss: 1.0107	LR: 0.100000
Training Epoch: 13 [9472/46200]	Loss: 0.8234	LR: 0.100000
Training Epoch: 13 [9728/46200]	Loss: 0.8204	LR: 0.100000
Training Epoch: 13 [9984/46200]	Loss: 0.8981	LR: 0.100000
Training Epoch: 13 [10240/46200]	Loss: 1.0076	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.8378	LR: 0.100000
Training Epoch: 13 [10752/46200]	Loss: 0.8891	LR: 0.100000
Training Epoch: 13 [11008/46200]	Loss: 0.9184	LR: 0.100000
Training Epoch: 13 [11264/46200]	Loss: 0.9647	LR: 0.100000
Training Epoch: 13 [11520/46200]	Loss: 0.7393	LR: 0.100000
Training Epoch: 13 [11776/46200]	Loss: 0.7779	LR: 0.100000
Training Epoch: 13 [12032/46200]	Loss: 0.9550	LR: 0.100000
Training Epoch: 13 [12288/46200]	Loss: 1.0065	LR: 0.100000
Training Epoch: 13 [12544/46200]	Loss: 0.8859	LR: 0.100000
Training Epoch: 13 [12800/46200]	Loss: 0.9489	LR: 0.100000
Training Epoch: 13 [13056/46200]	Loss: 0.9639	LR: 0.100000
Training Epoch: 13 [13312/46200]	Loss: 0.8785	LR: 0.100000
Training Epoch: 13 [13568/46200]	Loss: 0.9045	LR: 0.100000
Training Epoch: 13 [13824/46200]	Loss: 0.8767	LR: 0.100000
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Training Epoch: 13 [15360/46200]	Loss: 1.0228	LR: 0.100000
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Training Epoch: 13 [15872/46200]	Loss: 0.8830	LR: 0.100000
Training Epoch: 13 [16128/46200]	Loss: 0.9746	LR: 0.100000
Training Epoch: 13 [16384/46200]	Loss: 0.8577	LR: 0.100000
Training Epoch: 13 [16640/46200]	Loss: 0.9128	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 0.9207	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 1.0488	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 1.0378	LR: 0.100000
Training Epoch: 13 [17664/46200]	Loss: 0.8433	LR: 0.100000
Training Epoch: 13 [17920/46200]	Loss: 0.9964	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 0.9238	LR: 0.100000
Training Epoch: 13 [18432/46200]	Loss: 0.9990	LR: 0.100000
Training Epoch: 13 [18688/46200]	Loss: 0.9373	LR: 0.100000
Training Epoch: 13 [18944/46200]	Loss: 0.8705	LR: 0.100000
Training Epoch: 13 [19200/46200]	Loss: 0.8403	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 0.9470	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 0.8956	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 0.9788	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 1.0557	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 0.9966	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.9780	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9400, Train Accuracy: 0.6945
Epoch 13 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0051, Accuracy: 0.6085, Time consumed:0.91s
Training Epoch: 14 [256/46200]	Loss: 0.8457	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 0.9899	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9170, Train Accuracy: 0.7023
Epoch 14 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0044, Accuracy: 0.6536, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.8042	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.7008	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6777, Train Accuracy: 0.7802
Epoch 15 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7571, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.5574	LR: 0.020000
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Training Epoch: 16 [46080/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.4782	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5932, Train Accuracy: 0.8049
Epoch 16 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7614, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6025	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.5853	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5535, Train Accuracy: 0.8184
Epoch 17 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7700, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.4520	LR: 0.020000
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Training Epoch: 18 [8704/46200]	Loss: 0.5563	LR: 0.020000
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Training Epoch: 18 [9216/46200]	Loss: 0.6818	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.5272	LR: 0.020000
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Training Epoch: 18 [10496/46200]	Loss: 0.5179	LR: 0.020000
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Training Epoch: 18 [11008/46200]	Loss: 0.4796	LR: 0.020000
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Training Epoch: 18 [12032/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.6267	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.6064	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.4786	LR: 0.020000
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Training Epoch: 18 [14336/46200]	Loss: 0.4927	LR: 0.020000
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Training Epoch: 18 [14848/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5201	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.6869	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.4585	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.5276	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.5270	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.6384	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.4986	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.3490	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.5994	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.4893	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.4105	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.4664	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.6797	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.5084	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.6239	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.5002	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.6493	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.4259	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.6267	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.4952	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.6591	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.6467	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.5791	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.6853	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.4591	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5234, Train Accuracy: 0.8282
Epoch 18 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7652, Time consumed:0.90s
Training Epoch: 19 [256/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.4177	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5007	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5201	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.5931	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.4589	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.3971	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.4943	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.4378	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.6224	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.4535	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.6172	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.4663	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.4656	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.5068	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.5348	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.4875	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.5704	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.5681	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.4596	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4975, Train Accuracy: 0.8385
Epoch 19 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7703, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.4832	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.7969	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4791, Train Accuracy: 0.8422
Epoch 20 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7696, Time consumed:0.94s
Training Epoch: 21 [256/46200]	Loss: 0.3321	LR: 0.020000
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Training Epoch: 21 [15872/46200]	Loss: 0.4017	LR: 0.020000
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Training Epoch: 21 [16384/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.3904	LR: 0.020000
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Training Epoch: 21 [17664/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.4230	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.3789	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4307	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4327	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.3978	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.3925	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5868	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.4341	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4447	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.4372	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.6510	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.4837	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4589	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4119	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.3422	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5876	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4393	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.5244	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.4999	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.4616	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5065	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.4813	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4551, Train Accuracy: 0.8499
Epoch 21 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0031, Accuracy: 0.7631, Time consumed:0.92s
Training Epoch: 22 [256/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4390	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.3977	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.2874	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.4046	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.3853	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.3672	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.3490	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.3514	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4338	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.3664	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.4595	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4986	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.3422	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.5462	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5065	LR: 0.020000
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Training Epoch: 22 [14848/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3085	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4082	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4684	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4053	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.3596	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.3916	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4537	LR: 0.020000
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Training Epoch: 22 [27904/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4870	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.4336	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.4372	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.4021	LR: 0.020000
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Training Epoch: 22 [32000/46200]	Loss: 0.6006	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.4007	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.4260	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.4705	LR: 0.020000
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Training Epoch: 22 [34304/46200]	Loss: 0.5685	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.4684	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4360	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4250	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.4809	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.4359	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.4446	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.3758	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4537	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.5299	LR: 0.020000
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Training Epoch: 22 [41728/46200]	Loss: 0.4588	LR: 0.020000
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Training Epoch: 22 [42496/46200]	Loss: 0.4356	LR: 0.020000
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Training Epoch: 22 [43264/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4846	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.4458	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4549	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4366, Train Accuracy: 0.8543
Epoch 22 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7588, Time consumed:0.88s
Training Epoch: 23 [256/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.3950	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.4793	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3700	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.3942	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.4721	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4016	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.3026	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.3375	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.3112	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4297	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.4772	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.4266	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.3190	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.4113	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.3308	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.3464	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.4634	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.3784	LR: 0.020000
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Training Epoch: 23 [28160/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.2806	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.4436	LR: 0.020000
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Training Epoch: 23 [30208/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 23 [30464/46200]	Loss: 0.4761	LR: 0.020000
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Training Epoch: 23 [30976/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.4114	LR: 0.020000
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Training Epoch: 23 [35328/46200]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 23 [35840/46200]	Loss: 0.3316	LR: 0.020000
Training Epoch: 23 [36096/46200]	Loss: 0.3835	LR: 0.020000
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Training Epoch: 23 [36608/46200]	Loss: 0.4888	LR: 0.020000
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Training Epoch: 23 [37888/46200]	Loss: 0.4839	LR: 0.020000
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Training Epoch: 23 [39168/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.3361	LR: 0.020000
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Training Epoch: 23 [39936/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.3138	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5255	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4894	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.4408	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4076	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4226	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5148	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4209, Train Accuracy: 0.8614
Epoch 23 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0033, Accuracy: 0.7576, Time consumed:0.87s
Training Epoch: 24 [256/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3359	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.4596	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.3118	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.2924	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.4777	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3413	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.3008	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.3543	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.4999	LR: 0.020000
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Training Epoch: 24 [13056/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.2664	LR: 0.020000
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Training Epoch: 24 [15360/46200]	Loss: 0.2988	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4500	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3039	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3119	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.2581	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.4699	LR: 0.020000
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Training Epoch: 24 [19456/46200]	Loss: 0.4876	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3399	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.3523	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.3356	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4323	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5041	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.3749	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.4684	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.3996	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.4777	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5390	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.3679	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.3725	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4031	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.2886	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.3962	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.4718	LR: 0.020000
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Training Epoch: 24 [39168/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.2769	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.2951	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4474	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.3762	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4084	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4658	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4067, Train Accuracy: 0.8657
Epoch 24 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7615, Time consumed:0.90s
Training Epoch: 25 [256/46200]	Loss: 0.3007	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.3710	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3175	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.2413	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4116	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.4116	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3491	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.4080	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.4431	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.2952	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3074	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.2737	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.3345	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.1981	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.3006	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.3179	LR: 0.020000
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Training Epoch: 25 [9984/46200]	Loss: 0.3568	LR: 0.020000
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Training Epoch: 25 [11008/46200]	Loss: 0.3375	LR: 0.020000
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Training Epoch: 25 [19200/46200]	Loss: 0.4039	LR: 0.020000
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Training Epoch: 25 [23808/46200]	Loss: 0.4388	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 25 [28416/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.3269	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.3638	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.4220	LR: 0.020000
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Training Epoch: 25 [30720/46200]	Loss: 0.3389	LR: 0.020000
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Training Epoch: 25 [36096/46200]	Loss: 0.3574	LR: 0.020000
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Training Epoch: 25 [36608/46200]	Loss: 0.3996	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.4117	LR: 0.020000
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Training Epoch: 25 [41216/46200]	Loss: 0.3808	LR: 0.020000
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Training Epoch: 25 [41728/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.4709	LR: 0.020000
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Training Epoch: 25 [42496/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.5635	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.2378	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4649	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4511	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3873, Train Accuracy: 0.8724
Epoch 25 training time consumed: 27.46s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7669, Time consumed:0.86s
Training Epoch: 26 [256/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.2846	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.3019	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3012	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.4099	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3085	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.3534	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.3258	LR: 0.020000
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Training Epoch: 26 [4608/46200]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 26 [5632/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.2753	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3670	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.3579	LR: 0.020000
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Training Epoch: 26 [7936/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3134	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.4181	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.3197	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3055	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3031	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3275	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3469	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3163	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3409	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4479	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.2914	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3146	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3758	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.4539	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.2673	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3137	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.3853	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.2928	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.3184	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.2901	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3789	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3148	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4327	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.2753	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3603	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3144	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.4046	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.3895	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.2714	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.4245	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.4116	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.3788	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.4310	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.3467	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.4003	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4219	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3868	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.3708	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.3422	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4403	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.3573	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4096	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3811	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3090	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.3497	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.3960	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.3925	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5134	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3757, Train Accuracy: 0.8754
Epoch 26 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0034, Accuracy: 0.7551, Time consumed:0.86s
Training Epoch: 27 [256/46200]	Loss: 0.3626	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.2789	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3075	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3417	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.2390	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.2766	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3260	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.2969	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3209	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.2971	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3142	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.2834	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3797	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.3939	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.3447	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.2733	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3046	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3421	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3949	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.2933	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3131	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.4032	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.2547	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3193	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3242	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3556	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3069	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3129	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3258	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3173	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3193	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3795	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.2862	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.3486	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.3371	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.2885	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.2650	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.2849	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.2859	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3345	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.3263	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3564	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.2897	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3629	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3563	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.2823	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.2779	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.2512	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3674	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.4392	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.3064	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.3247	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.3020	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.3078	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.3397	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.3150	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3611, Train Accuracy: 0.8787
Epoch 27 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7535, Time consumed:0.88s
Training Epoch: 28 [256/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3650	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.2946	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.2857	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.3146	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.2932	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.2468	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.2723	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.3213	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.2224	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3052	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.2801	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4009	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3039	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3101	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.3029	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3134	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.2769	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3678	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3432	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.2684	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3936	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3358	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.2970	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.2953	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.3361	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.2705	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.3109	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.3495	LR: 0.020000
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Training Epoch: 28 [15104/46200]	Loss: 0.2795	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.2370	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.2964	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.2833	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.3248	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.2492	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.3069	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.3071	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.3270	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3516	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.3262	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3453	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.2604	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.2989	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3898	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.2882	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3504	LR: 0.020000
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Training Epoch: 28 [23808/46200]	Loss: 0.3762	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3829	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.2966	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.4565	LR: 0.020000
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Training Epoch: 28 [29440/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3532	LR: 0.020000
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Training Epoch: 28 [30464/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.2964	LR: 0.020000
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Training Epoch: 28 [31232/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4058	LR: 0.020000
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Training Epoch: 28 [32000/46200]	Loss: 0.3348	LR: 0.020000
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Training Epoch: 28 [32512/46200]	Loss: 0.2594	LR: 0.020000
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Training Epoch: 28 [33280/46200]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 28 [34304/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3889	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.2993	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3030	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.3625	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.2729	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.2557	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.2649	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.3061	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3151	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.3718	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.4196	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.3762	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.4475	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3513	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.5122	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3519, Train Accuracy: 0.8821
Epoch 28 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7514, Time consumed:0.91s
Training Epoch: 29 [256/46200]	Loss: 0.2755	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.2759	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.3236	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3298	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.2993	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.2898	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.2887	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.2936	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.3382	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.3300	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3514	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3027	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3205	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.2957	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4082	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.2532	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3655	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.2855	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3363	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.3115	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.2979	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.2502	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.2766	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.2777	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.3009	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3088	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3132	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.2848	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.2823	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.2849	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.2876	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.2901	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.2838	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.2897	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.2045	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.2957	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.2574	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.2856	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3686	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.2911	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.2800	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.2351	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.2959	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3214	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3040	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3126	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.2558	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.4093	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.2900	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.2744	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.2495	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.2773	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3250	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3149	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.2702	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3909	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.2964	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3257	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.2637	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3526	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3114	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3402	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3485	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3843	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.2758	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3977	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.3852	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3053	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3351	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3155	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3464	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3433	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3569	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3786	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.2501	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3443, Train Accuracy: 0.8854
Epoch 29 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7557, Time consumed:0.90s
Training Epoch: 30 [256/46200]	Loss: 0.2827	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.2320	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.3157	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.2749	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.2880	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2642	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3154	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2796	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3054	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.3877	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3018	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2910	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3684	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2544	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2396	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2604	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2606	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2299	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.3398	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2844	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.3127	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2369	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2173	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.1919	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2027	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2650	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2929	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.1770	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.1828	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2419	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2351	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2485	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2411	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2398	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2975	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2621	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2956	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2337	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2619	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3039	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2404	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2080	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2359	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.1774	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2115	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2160	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2257	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2481	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2339	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2422	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2199	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2020	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.2620	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2329	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2738	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.1647	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2183	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.1620	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2426	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2016	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2587	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.2223	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2053	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2420	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.2158	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.1870	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.1904	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2825	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2922	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1525	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2148	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2229	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.2463	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.1903	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2298	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.1657	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2096	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2346	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2384	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2367	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2079	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2923	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.2355	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2146	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2035	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.1714	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2420	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2934	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2474	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2715	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2281	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.2158	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.1719	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2281	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2085	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2326	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2353	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1573	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2668	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.1949	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.2106	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2180	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.2358	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.1754	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.1895	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.1871	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.2123	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2202	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2393	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.1922	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.2210	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.2393	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2089	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2261	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.1861	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2071	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.1922	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.1373	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2404	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2095	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2176	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.2441	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2239	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2697	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.1790	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2449	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1976	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.2639	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.1855	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2486	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.1438	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2177	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2281	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2005	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.2315	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.1963	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.2170	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.1588	LR: 0.004000
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Training Epoch: 30 [44544/46200]	Loss: 0.1530	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.2742	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.2567	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2147	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.1689	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2236	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.2160	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2277, Train Accuracy: 0.9278
Epoch 30 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.7978, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1691	LR: 0.004000
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Training Epoch: 31 [44288/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1414	LR: 0.004000
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Training Epoch: 31 [45056/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1590	LR: 0.004000
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Training Epoch: 31 [45824/46200]	Loss: 0.1835	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.2143	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.2752	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1846, Train Accuracy: 0.9447
Epoch 31 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.7994, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1671	LR: 0.004000
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Training Epoch: 32 [46080/46200]	Loss: 0.1600	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1720	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1656, Train Accuracy: 0.9500
Epoch 32 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.7996, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.1161	LR: 0.004000
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Training Epoch: 33 [45312/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.1068	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1082	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1455	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1501, Train Accuracy: 0.9541
Epoch 33 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8013, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.1320	LR: 0.004000
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Training Epoch: 34 [43520/46200]	Loss: 0.1253	LR: 0.004000
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Training Epoch: 34 [44032/46200]	Loss: 0.1495	LR: 0.004000
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Training Epoch: 34 [44544/46200]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.0981	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1610	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.1384	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1427, Train Accuracy: 0.9567
Epoch 34 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8000, Time consumed:0.88s
Training Epoch: 35 [256/46200]	Loss: 0.1765	LR: 0.000800
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Training Epoch: 35 [1280/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1239	LR: 0.000800
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Training Epoch: 35 [25344/46200]	Loss: 0.1415	LR: 0.000800
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Training Epoch: 35 [26368/46200]	Loss: 0.0925	LR: 0.000800
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Training Epoch: 35 [27136/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.1408	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1445	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.0861	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.1237	LR: 0.000800
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Training Epoch: 35 [30720/46200]	Loss: 0.1323	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.1163	LR: 0.000800
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Training Epoch: 35 [31488/46200]	Loss: 0.1387	LR: 0.000800
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Training Epoch: 35 [32512/46200]	Loss: 0.1196	LR: 0.000800
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Training Epoch: 35 [35328/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.1307	LR: 0.000800
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Training Epoch: 35 [37376/46200]	Loss: 0.0983	LR: 0.000800
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Training Epoch: 35 [37888/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.0795	LR: 0.000800
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Training Epoch: 35 [38912/46200]	Loss: 0.1122	LR: 0.000800
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Training Epoch: 35 [39424/46200]	Loss: 0.1305	LR: 0.000800
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Training Epoch: 35 [40192/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1382	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.1616	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.0768	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1629	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1661	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1629	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.0939	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1517	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1248, Train Accuracy: 0.9632
Epoch 35 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8036, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.1707	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1655	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.1604	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.1664	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1515	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1491	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.1179	LR: 0.000800
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Training Epoch: 36 [7168/46200]	Loss: 0.1186	LR: 0.000800
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Training Epoch: 36 [9984/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.1300	LR: 0.000800
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Training Epoch: 36 [12288/46200]	Loss: 0.0911	LR: 0.000800
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Training Epoch: 36 [13824/46200]	Loss: 0.1195	LR: 0.000800
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Training Epoch: 36 [16640/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.1255	LR: 0.000800
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Training Epoch: 36 [25600/46200]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.1697	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.1251	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.0868	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.0995	LR: 0.000800
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Training Epoch: 36 [29696/46200]	Loss: 0.1937	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.0939	LR: 0.000800
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Training Epoch: 36 [31744/46200]	Loss: 0.0959	LR: 0.000800
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Training Epoch: 36 [35328/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.1547	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.1647	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.1300	LR: 0.000800
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Training Epoch: 36 [37632/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.1611	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.0895	LR: 0.000800
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Training Epoch: 36 [38656/46200]	Loss: 0.1284	LR: 0.000800
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Training Epoch: 36 [39168/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.1616	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1328	LR: 0.000800
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Training Epoch: 36 [42240/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1382	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1505	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1460	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1391	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1562	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1445	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1761	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1445	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1478	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1205, Train Accuracy: 0.9649
Epoch 36 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8040, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_00h_35m_04s/ResNet18-Cifar20-seed2-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0976	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.1463	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.1488	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.1346	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.0926	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.1679	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.1680	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.1506	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.1411	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.1726	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.1614	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.1460	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.0841	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.0741	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.1759	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.1361	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.0768	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.1528	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.1383	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.0769	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.0842	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.1758	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.1487	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.0873	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.1254	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.0807	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.1814	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.1467	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.1251	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.1600	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.1455	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.1469	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.0773	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.1637	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.1533	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.1410	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.1860	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.1496	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.0754	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.0669	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1988	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.0926	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.0915	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1155, Train Accuracy: 0.9671
Epoch 37 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8022, Time consumed:0.90s
Training Epoch: 38 [256/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.1372	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.1855	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.0666	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.1633	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.0700	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.1090	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.1448	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.1596	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.0876	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.0831	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.0979	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.1297	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.1000	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.1341	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.1390	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.1391	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.1084	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.1656	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.1366	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.0813	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.1356	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.0758	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.0778	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.0779	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.1290	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.0798	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.1202	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.1621	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.0754	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.1616	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.1242	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.0667	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.0824	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.1524	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.1506	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.0848	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.1759	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0756	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.1584	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.0839	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.1125	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.1398	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1654	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.1420	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1378	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1375	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.0818	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.0829	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1543	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1477	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.0890	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1619	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.1674	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1130, Train Accuracy: 0.9681
Epoch 38 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8035, Time consumed:0.88s
Training Epoch: 39 [256/46200]	Loss: 0.0784	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1424	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.0888	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1064	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.1267	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.1406	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.0738	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1426	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1399	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1394	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.1478	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.0740	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.1399	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.1494	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.0753	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.0824	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.0717	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.1654	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.1381	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.1661	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.0737	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.1754	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.1174	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.1503	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.1504	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.0822	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.0821	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.1481	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.1374	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.1436	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.1366	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.1434	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.0682	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.0622	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.1432	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1715	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.0771	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.1475	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.0836	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.0711	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.0820	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.0671	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0754	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.1797	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.0712	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.1469	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1539	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1498	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1852	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.0915	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1303	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1107, Train Accuracy: 0.9690
Epoch 39 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8040, Time consumed:0.93s
Training Epoch: 40 [256/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1280	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0784	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.1143	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1580	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.0798	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.0809	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.1298	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.0703	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.1396	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.1409	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.1338	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.1288	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.0682	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.1477	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.0716	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.0707	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.1179	LR: 0.000800
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Training Epoch: 40 [15616/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [16384/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [16640/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.1123	LR: 0.000800
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Training Epoch: 40 [17408/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 40 [17664/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.1217	LR: 0.000800
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Training Epoch: 40 [18688/46200]	Loss: 0.1122	LR: 0.000800
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Training Epoch: 40 [19200/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.1281	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.0832	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.1512	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.0602	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.0826	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.0783	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.0828	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.1110	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.1345	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.1339	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.0855	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.0633	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.0847	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.1495	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1316	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1366	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.1537	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1355	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1446	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0633	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.0707	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.1246	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1088, Train Accuracy: 0.9691
Epoch 40 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8017, 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: 80.341796875
Retain Accuracy: 97.35166931152344
Zero-Retain Forget (ZRF): 0.9026859998703003
Membership Inference Attack (MIA): 0.598421052631579
Forget vs Retain Membership Inference Attack (MIA): 0.5657894736842105
Forget vs Test Membership Inference Attack (MIA): 0.5236842105263158
Test vs Retain Membership Inference Attack (MIA): 0.57825
Train vs Test Membership Inference Attack (MIA): 0.59725
Forget Set Accuracy (Df): 79.83796691894531
Method Execution Time: 2085.90 seconds
