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

📌 S Forget class distribution for seed 9:
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: 3.0315	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0330	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0198	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0131	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0296	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0553	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0107	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9846	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9935	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9311	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9409	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9328	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8860	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8549	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8833	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8351	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8209	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8808	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.7966	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8625	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.7991	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7508	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7900	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7685	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7788	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7260	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7279	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.8326	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7675	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7322	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.7174	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6964	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.7036	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6654	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6371	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6503	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6396	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6719	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6491	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6664	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6644	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6127	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5718	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5097	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5136	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5544	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5081	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5664	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5409	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5493	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5578	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5819	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4514	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.4270	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.4687	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.6067	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5561	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5318	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5671	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.4468	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.4755	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5000	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4885	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5286	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.4082	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.4371	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5132	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.4615	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5621	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.3101	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.3809	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.4410	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5632	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5121	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5226	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4231	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4766	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.6205	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5112	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5677	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5249	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4886	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4606	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4091	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4484	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4958	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.3709	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4785	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5323	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4638	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4851	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5053	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4026	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4251	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4212	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.3479	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4215	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.3960	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4481	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4571	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4439	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4365	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3809	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5073	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4272	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4729	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4144	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.3566	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.3770	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.3365	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4621	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4551	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.3629	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.4962	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3726	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.2506	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.2777	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.2974	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4521	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5030	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4535	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.3884	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4498	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3959	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4544	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4960	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4391	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.2745	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4423	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4520	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3276	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4953	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.3223	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.1758	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3640	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.6045	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3784	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4507	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3162	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4069	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3738	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3596	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.2890	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.2700	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.2557	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.3547	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.2622	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.4736	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3118	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4270	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.3154	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4037	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3108	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2083	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.2795	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4000	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.3323	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2709	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.5049	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2786	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.2920	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3731	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4192	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2621	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3723	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3768	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3941	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4734	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2660	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.2717	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3161	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2969	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.2667	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.1877	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3070	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3235	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.2685	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2520	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3161	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3564	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.3704	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5101, Train Accuracy: 0.2255
Epoch 1 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0111, Accuracy: 0.1941, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.2936	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.1572	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3977	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.3150	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2378	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2980	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3607	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2832	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2593	LR: 0.100000
Training Epoch: 2 [2560/46200]	Loss: 2.3839	LR: 0.100000
Training Epoch: 2 [2816/46200]	Loss: 2.2833	LR: 0.100000
Training Epoch: 2 [3072/46200]	Loss: 2.5246	LR: 0.100000
Training Epoch: 2 [3328/46200]	Loss: 2.3479	LR: 0.100000
Training Epoch: 2 [3584/46200]	Loss: 2.2515	LR: 0.100000
Training Epoch: 2 [3840/46200]	Loss: 2.3224	LR: 0.100000
Training Epoch: 2 [4096/46200]	Loss: 2.3663	LR: 0.100000
Training Epoch: 2 [4352/46200]	Loss: 2.2675	LR: 0.100000
Training Epoch: 2 [4608/46200]	Loss: 2.2491	LR: 0.100000
Training Epoch: 2 [4864/46200]	Loss: 2.1441	LR: 0.100000
Training Epoch: 2 [5120/46200]	Loss: 2.3277	LR: 0.100000
Training Epoch: 2 [5376/46200]	Loss: 2.3316	LR: 0.100000
Training Epoch: 2 [5632/46200]	Loss: 2.3584	LR: 0.100000
Training Epoch: 2 [5888/46200]	Loss: 2.2358	LR: 0.100000
Training Epoch: 2 [6144/46200]	Loss: 2.1576	LR: 0.100000
Training Epoch: 2 [6400/46200]	Loss: 2.2892	LR: 0.100000
Training Epoch: 2 [6656/46200]	Loss: 2.1307	LR: 0.100000
Training Epoch: 2 [6912/46200]	Loss: 2.1892	LR: 0.100000
Training Epoch: 2 [7168/46200]	Loss: 2.1624	LR: 0.100000
Training Epoch: 2 [7424/46200]	Loss: 2.2100	LR: 0.100000
Training Epoch: 2 [7680/46200]	Loss: 2.3340	LR: 0.100000
Training Epoch: 2 [7936/46200]	Loss: 2.2387	LR: 0.100000
Training Epoch: 2 [8192/46200]	Loss: 2.2479	LR: 0.100000
Training Epoch: 2 [8448/46200]	Loss: 2.2159	LR: 0.100000
Training Epoch: 2 [8704/46200]	Loss: 2.2513	LR: 0.100000
Training Epoch: 2 [8960/46200]	Loss: 2.2246	LR: 0.100000
Training Epoch: 2 [9216/46200]	Loss: 2.2419	LR: 0.100000
Training Epoch: 2 [9472/46200]	Loss: 2.1876	LR: 0.100000
Training Epoch: 2 [9728/46200]	Loss: 2.3625	LR: 0.100000
Training Epoch: 2 [9984/46200]	Loss: 2.0437	LR: 0.100000
Training Epoch: 2 [10240/46200]	Loss: 2.2981	LR: 0.100000
Training Epoch: 2 [10496/46200]	Loss: 2.2201	LR: 0.100000
Training Epoch: 2 [10752/46200]	Loss: 2.1782	LR: 0.100000
Training Epoch: 2 [11008/46200]	Loss: 2.2282	LR: 0.100000
Training Epoch: 2 [11264/46200]	Loss: 2.2367	LR: 0.100000
Training Epoch: 2 [11520/46200]	Loss: 2.1264	LR: 0.100000
Training Epoch: 2 [11776/46200]	Loss: 2.2453	LR: 0.100000
Training Epoch: 2 [12032/46200]	Loss: 2.2200	LR: 0.100000
Training Epoch: 2 [12288/46200]	Loss: 2.1586	LR: 0.100000
Training Epoch: 2 [12544/46200]	Loss: 2.2829	LR: 0.100000
Training Epoch: 2 [12800/46200]	Loss: 2.3469	LR: 0.100000
Training Epoch: 2 [13056/46200]	Loss: 2.3741	LR: 0.100000
Training Epoch: 2 [13312/46200]	Loss: 2.2476	LR: 0.100000
Training Epoch: 2 [13568/46200]	Loss: 2.1949	LR: 0.100000
Training Epoch: 2 [13824/46200]	Loss: 2.2740	LR: 0.100000
Training Epoch: 2 [14080/46200]	Loss: 2.2472	LR: 0.100000
Training Epoch: 2 [14336/46200]	Loss: 2.2855	LR: 0.100000
Training Epoch: 2 [14592/46200]	Loss: 2.2736	LR: 0.100000
Training Epoch: 2 [14848/46200]	Loss: 2.1910	LR: 0.100000
Training Epoch: 2 [15104/46200]	Loss: 2.1026	LR: 0.100000
Training Epoch: 2 [15360/46200]	Loss: 2.1300	LR: 0.100000
Training Epoch: 2 [15616/46200]	Loss: 2.2126	LR: 0.100000
Training Epoch: 2 [15872/46200]	Loss: 2.1916	LR: 0.100000
Training Epoch: 2 [16128/46200]	Loss: 2.1583	LR: 0.100000
Training Epoch: 2 [16384/46200]	Loss: 2.2071	LR: 0.100000
Training Epoch: 2 [16640/46200]	Loss: 2.1815	LR: 0.100000
Training Epoch: 2 [16896/46200]	Loss: 2.1844	LR: 0.100000
Training Epoch: 2 [17152/46200]	Loss: 2.1754	LR: 0.100000
Training Epoch: 2 [17408/46200]	Loss: 2.1833	LR: 0.100000
Training Epoch: 2 [17664/46200]	Loss: 2.2630	LR: 0.100000
Training Epoch: 2 [17920/46200]	Loss: 2.2320	LR: 0.100000
Training Epoch: 2 [18176/46200]	Loss: 2.1220	LR: 0.100000
Training Epoch: 2 [18432/46200]	Loss: 2.1917	LR: 0.100000
Training Epoch: 2 [18688/46200]	Loss: 2.2358	LR: 0.100000
Training Epoch: 2 [18944/46200]	Loss: 2.0959	LR: 0.100000
Training Epoch: 2 [19200/46200]	Loss: 2.2249	LR: 0.100000
Training Epoch: 2 [19456/46200]	Loss: 2.2346	LR: 0.100000
Training Epoch: 2 [19712/46200]	Loss: 2.2825	LR: 0.100000
Training Epoch: 2 [19968/46200]	Loss: 2.1720	LR: 0.100000
Training Epoch: 2 [20224/46200]	Loss: 2.0776	LR: 0.100000
Training Epoch: 2 [20480/46200]	Loss: 2.1966	LR: 0.100000
Training Epoch: 2 [20736/46200]	Loss: 2.1308	LR: 0.100000
Training Epoch: 2 [20992/46200]	Loss: 2.1330	LR: 0.100000
Training Epoch: 2 [21248/46200]	Loss: 2.2305	LR: 0.100000
Training Epoch: 2 [21504/46200]	Loss: 2.2728	LR: 0.100000
Training Epoch: 2 [21760/46200]	Loss: 2.0593	LR: 0.100000
Training Epoch: 2 [22016/46200]	Loss: 2.2931	LR: 0.100000
Training Epoch: 2 [22272/46200]	Loss: 2.1346	LR: 0.100000
Training Epoch: 2 [22528/46200]	Loss: 2.2515	LR: 0.100000
Training Epoch: 2 [22784/46200]	Loss: 2.0883	LR: 0.100000
Training Epoch: 2 [23040/46200]	Loss: 2.1854	LR: 0.100000
Training Epoch: 2 [23296/46200]	Loss: 2.2054	LR: 0.100000
Training Epoch: 2 [23552/46200]	Loss: 2.1558	LR: 0.100000
Training Epoch: 2 [23808/46200]	Loss: 2.2458	LR: 0.100000
Training Epoch: 2 [24064/46200]	Loss: 2.0488	LR: 0.100000
Training Epoch: 2 [24320/46200]	Loss: 2.1750	LR: 0.100000
Training Epoch: 2 [24576/46200]	Loss: 2.2106	LR: 0.100000
Training Epoch: 2 [24832/46200]	Loss: 2.1324	LR: 0.100000
Training Epoch: 2 [25088/46200]	Loss: 2.0329	LR: 0.100000
Training Epoch: 2 [25344/46200]	Loss: 2.1472	LR: 0.100000
Training Epoch: 2 [25600/46200]	Loss: 1.9918	LR: 0.100000
Training Epoch: 2 [25856/46200]	Loss: 2.0841	LR: 0.100000
Training Epoch: 2 [26112/46200]	Loss: 2.1122	LR: 0.100000
Training Epoch: 2 [26368/46200]	Loss: 1.9705	LR: 0.100000
Training Epoch: 2 [26624/46200]	Loss: 2.1131	LR: 0.100000
Training Epoch: 2 [26880/46200]	Loss: 2.1255	LR: 0.100000
Training Epoch: 2 [27136/46200]	Loss: 2.1297	LR: 0.100000
Training Epoch: 2 [27392/46200]	Loss: 2.0487	LR: 0.100000
Training Epoch: 2 [27648/46200]	Loss: 2.0484	LR: 0.100000
Training Epoch: 2 [27904/46200]	Loss: 2.2032	LR: 0.100000
Training Epoch: 2 [28160/46200]	Loss: 2.0171	LR: 0.100000
Training Epoch: 2 [28416/46200]	Loss: 2.2517	LR: 0.100000
Training Epoch: 2 [28672/46200]	Loss: 2.2607	LR: 0.100000
Training Epoch: 2 [28928/46200]	Loss: 2.1374	LR: 0.100000
Training Epoch: 2 [29184/46200]	Loss: 2.0970	LR: 0.100000
Training Epoch: 2 [29440/46200]	Loss: 2.1505	LR: 0.100000
Training Epoch: 2 [29696/46200]	Loss: 2.1793	LR: 0.100000
Training Epoch: 2 [29952/46200]	Loss: 2.0598	LR: 0.100000
Training Epoch: 2 [30208/46200]	Loss: 2.1237	LR: 0.100000
Training Epoch: 2 [30464/46200]	Loss: 2.0875	LR: 0.100000
Training Epoch: 2 [30720/46200]	Loss: 1.9571	LR: 0.100000
Training Epoch: 2 [30976/46200]	Loss: 2.0854	LR: 0.100000
Training Epoch: 2 [31232/46200]	Loss: 2.0537	LR: 0.100000
Training Epoch: 2 [31488/46200]	Loss: 2.1855	LR: 0.100000
Training Epoch: 2 [31744/46200]	Loss: 1.9897	LR: 0.100000
Training Epoch: 2 [32000/46200]	Loss: 2.1729	LR: 0.100000
Training Epoch: 2 [32256/46200]	Loss: 2.1514	LR: 0.100000
Training Epoch: 2 [32512/46200]	Loss: 2.0577	LR: 0.100000
Training Epoch: 2 [32768/46200]	Loss: 2.0397	LR: 0.100000
Training Epoch: 2 [33024/46200]	Loss: 2.0272	LR: 0.100000
Training Epoch: 2 [33280/46200]	Loss: 2.0548	LR: 0.100000
Training Epoch: 2 [33536/46200]	Loss: 2.0930	LR: 0.100000
Training Epoch: 2 [33792/46200]	Loss: 2.0867	LR: 0.100000
Training Epoch: 2 [34048/46200]	Loss: 2.0030	LR: 0.100000
Training Epoch: 2 [34304/46200]	Loss: 2.0340	LR: 0.100000
Training Epoch: 2 [34560/46200]	Loss: 2.1466	LR: 0.100000
Training Epoch: 2 [34816/46200]	Loss: 2.1118	LR: 0.100000
Training Epoch: 2 [35072/46200]	Loss: 2.1806	LR: 0.100000
Training Epoch: 2 [35328/46200]	Loss: 2.1302	LR: 0.100000
Training Epoch: 2 [35584/46200]	Loss: 2.0505	LR: 0.100000
Training Epoch: 2 [35840/46200]	Loss: 2.0825	LR: 0.100000
Training Epoch: 2 [36096/46200]	Loss: 2.0772	LR: 0.100000
Training Epoch: 2 [36352/46200]	Loss: 2.1748	LR: 0.100000
Training Epoch: 2 [36608/46200]	Loss: 1.9780	LR: 0.100000
Training Epoch: 2 [36864/46200]	Loss: 2.0803	LR: 0.100000
Training Epoch: 2 [37120/46200]	Loss: 1.9844	LR: 0.100000
Training Epoch: 2 [37376/46200]	Loss: 2.1274	LR: 0.100000
Training Epoch: 2 [37632/46200]	Loss: 2.0770	LR: 0.100000
Training Epoch: 2 [37888/46200]	Loss: 2.1028	LR: 0.100000
Training Epoch: 2 [38144/46200]	Loss: 2.1169	LR: 0.100000
Training Epoch: 2 [38400/46200]	Loss: 2.1726	LR: 0.100000
Training Epoch: 2 [38656/46200]	Loss: 2.0571	LR: 0.100000
Training Epoch: 2 [38912/46200]	Loss: 2.1816	LR: 0.100000
Training Epoch: 2 [39168/46200]	Loss: 1.9788	LR: 0.100000
Training Epoch: 2 [39424/46200]	Loss: 1.9611	LR: 0.100000
Training Epoch: 2 [39680/46200]	Loss: 2.1345	LR: 0.100000
Training Epoch: 2 [39936/46200]	Loss: 1.9650	LR: 0.100000
Training Epoch: 2 [40192/46200]	Loss: 2.0334	LR: 0.100000
Training Epoch: 2 [40448/46200]	Loss: 2.0969	LR: 0.100000
Training Epoch: 2 [40704/46200]	Loss: 2.0224	LR: 0.100000
Training Epoch: 2 [40960/46200]	Loss: 1.9908	LR: 0.100000
Training Epoch: 2 [41216/46200]	Loss: 1.9270	LR: 0.100000
Training Epoch: 2 [41472/46200]	Loss: 2.0960	LR: 0.100000
Training Epoch: 2 [41728/46200]	Loss: 1.9113	LR: 0.100000
Training Epoch: 2 [41984/46200]	Loss: 1.9902	LR: 0.100000
Training Epoch: 2 [42240/46200]	Loss: 2.2147	LR: 0.100000
Training Epoch: 2 [42496/46200]	Loss: 2.0483	LR: 0.100000
Training Epoch: 2 [42752/46200]	Loss: 2.1196	LR: 0.100000
Training Epoch: 2 [43008/46200]	Loss: 2.1308	LR: 0.100000
Training Epoch: 2 [43264/46200]	Loss: 1.9369	LR: 0.100000
Training Epoch: 2 [43520/46200]	Loss: 1.9079	LR: 0.100000
Training Epoch: 2 [43776/46200]	Loss: 1.9372	LR: 0.100000
Training Epoch: 2 [44032/46200]	Loss: 1.9672	LR: 0.100000
Training Epoch: 2 [44288/46200]	Loss: 2.0744	LR: 0.100000
Training Epoch: 2 [44544/46200]	Loss: 1.9741	LR: 0.100000
Training Epoch: 2 [44800/46200]	Loss: 1.9395	LR: 0.100000
Training Epoch: 2 [45056/46200]	Loss: 2.1153	LR: 0.100000
Training Epoch: 2 [45312/46200]	Loss: 2.0465	LR: 0.100000
Training Epoch: 2 [45568/46200]	Loss: 2.0048	LR: 0.100000
Training Epoch: 2 [45824/46200]	Loss: 1.8428	LR: 0.100000
Training Epoch: 2 [46080/46200]	Loss: 2.1255	LR: 0.100000
Training Epoch: 2 [46200/46200]	Loss: 1.9165	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1539, Train Accuracy: 0.3266
Epoch 2 training time consumed: 25.17s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0095, Accuracy: 0.3193, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-2-best.pth
Training Epoch: 3 [256/46200]	Loss: 2.1256	LR: 0.100000
Training Epoch: 3 [512/46200]	Loss: 2.1056	LR: 0.100000
Training Epoch: 3 [768/46200]	Loss: 1.8441	LR: 0.100000
Training Epoch: 3 [1024/46200]	Loss: 2.0398	LR: 0.100000
Training Epoch: 3 [1280/46200]	Loss: 2.0852	LR: 0.100000
Training Epoch: 3 [1536/46200]	Loss: 2.0146	LR: 0.100000
Training Epoch: 3 [1792/46200]	Loss: 1.9927	LR: 0.100000
Training Epoch: 3 [2048/46200]	Loss: 1.9388	LR: 0.100000
Training Epoch: 3 [2304/46200]	Loss: 1.8982	LR: 0.100000
Training Epoch: 3 [2560/46200]	Loss: 2.0745	LR: 0.100000
Training Epoch: 3 [2816/46200]	Loss: 1.9437	LR: 0.100000
Training Epoch: 3 [3072/46200]	Loss: 1.9908	LR: 0.100000
Training Epoch: 3 [3328/46200]	Loss: 2.0396	LR: 0.100000
Training Epoch: 3 [3584/46200]	Loss: 2.1056	LR: 0.100000
Training Epoch: 3 [3840/46200]	Loss: 2.0372	LR: 0.100000
Training Epoch: 3 [4096/46200]	Loss: 2.0278	LR: 0.100000
Training Epoch: 3 [4352/46200]	Loss: 2.0457	LR: 0.100000
Training Epoch: 3 [4608/46200]	Loss: 1.9437	LR: 0.100000
Training Epoch: 3 [4864/46200]	Loss: 1.8858	LR: 0.100000
Training Epoch: 3 [5120/46200]	Loss: 2.0157	LR: 0.100000
Training Epoch: 3 [5376/46200]	Loss: 1.9401	LR: 0.100000
Training Epoch: 3 [5632/46200]	Loss: 2.0419	LR: 0.100000
Training Epoch: 3 [5888/46200]	Loss: 2.0110	LR: 0.100000
Training Epoch: 3 [6144/46200]	Loss: 2.0192	LR: 0.100000
Training Epoch: 3 [6400/46200]	Loss: 1.9054	LR: 0.100000
Training Epoch: 3 [6656/46200]	Loss: 1.9809	LR: 0.100000
Training Epoch: 3 [6912/46200]	Loss: 1.9818	LR: 0.100000
Training Epoch: 3 [7168/46200]	Loss: 1.9531	LR: 0.100000
Training Epoch: 3 [7424/46200]	Loss: 1.9926	LR: 0.100000
Training Epoch: 3 [7680/46200]	Loss: 1.8647	LR: 0.100000
Training Epoch: 3 [7936/46200]	Loss: 2.0287	LR: 0.100000
Training Epoch: 3 [8192/46200]	Loss: 1.9531	LR: 0.100000
Training Epoch: 3 [8448/46200]	Loss: 2.0698	LR: 0.100000
Training Epoch: 3 [8704/46200]	Loss: 1.8737	LR: 0.100000
Training Epoch: 3 [8960/46200]	Loss: 2.0106	LR: 0.100000
Training Epoch: 3 [9216/46200]	Loss: 1.9341	LR: 0.100000
Training Epoch: 3 [9472/46200]	Loss: 1.9826	LR: 0.100000
Training Epoch: 3 [9728/46200]	Loss: 1.9396	LR: 0.100000
Training Epoch: 3 [9984/46200]	Loss: 1.8114	LR: 0.100000
Training Epoch: 3 [10240/46200]	Loss: 1.9098	LR: 0.100000
Training Epoch: 3 [10496/46200]	Loss: 1.9817	LR: 0.100000
Training Epoch: 3 [10752/46200]	Loss: 1.9750	LR: 0.100000
Training Epoch: 3 [11008/46200]	Loss: 1.9685	LR: 0.100000
Training Epoch: 3 [11264/46200]	Loss: 1.9706	LR: 0.100000
Training Epoch: 3 [11520/46200]	Loss: 1.9186	LR: 0.100000
Training Epoch: 3 [11776/46200]	Loss: 2.0412	LR: 0.100000
Training Epoch: 3 [12032/46200]	Loss: 2.0393	LR: 0.100000
Training Epoch: 3 [12288/46200]	Loss: 2.0047	LR: 0.100000
Training Epoch: 3 [12544/46200]	Loss: 1.8864	LR: 0.100000
Training Epoch: 3 [12800/46200]	Loss: 2.0029	LR: 0.100000
Training Epoch: 3 [13056/46200]	Loss: 1.8789	LR: 0.100000
Training Epoch: 3 [13312/46200]	Loss: 2.0335	LR: 0.100000
Training Epoch: 3 [13568/46200]	Loss: 1.9627	LR: 0.100000
Training Epoch: 3 [13824/46200]	Loss: 2.0022	LR: 0.100000
Training Epoch: 3 [14080/46200]	Loss: 1.8851	LR: 0.100000
Training Epoch: 3 [14336/46200]	Loss: 1.9299	LR: 0.100000
Training Epoch: 3 [14592/46200]	Loss: 1.7707	LR: 0.100000
Training Epoch: 3 [14848/46200]	Loss: 2.0776	LR: 0.100000
Training Epoch: 3 [15104/46200]	Loss: 2.0841	LR: 0.100000
Training Epoch: 3 [15360/46200]	Loss: 2.0567	LR: 0.100000
Training Epoch: 3 [15616/46200]	Loss: 2.0226	LR: 0.100000
Training Epoch: 3 [15872/46200]	Loss: 2.1404	LR: 0.100000
Training Epoch: 3 [16128/46200]	Loss: 1.8256	LR: 0.100000
Training Epoch: 3 [16384/46200]	Loss: 1.8959	LR: 0.100000
Training Epoch: 3 [16640/46200]	Loss: 1.8201	LR: 0.100000
Training Epoch: 3 [16896/46200]	Loss: 2.0446	LR: 0.100000
Training Epoch: 3 [17152/46200]	Loss: 2.0081	LR: 0.100000
Training Epoch: 3 [17408/46200]	Loss: 2.0974	LR: 0.100000
Training Epoch: 3 [17664/46200]	Loss: 2.0691	LR: 0.100000
Training Epoch: 3 [17920/46200]	Loss: 2.0509	LR: 0.100000
Training Epoch: 3 [18176/46200]	Loss: 1.9209	LR: 0.100000
Training Epoch: 3 [18432/46200]	Loss: 1.8471	LR: 0.100000
Training Epoch: 3 [18688/46200]	Loss: 1.9730	LR: 0.100000
Training Epoch: 3 [18944/46200]	Loss: 1.8537	LR: 0.100000
Training Epoch: 3 [19200/46200]	Loss: 1.9901	LR: 0.100000
Training Epoch: 3 [19456/46200]	Loss: 2.0018	LR: 0.100000
Training Epoch: 3 [19712/46200]	Loss: 1.8321	LR: 0.100000
Training Epoch: 3 [19968/46200]	Loss: 1.8745	LR: 0.100000
Training Epoch: 3 [20224/46200]	Loss: 1.9163	LR: 0.100000
Training Epoch: 3 [20480/46200]	Loss: 1.9842	LR: 0.100000
Training Epoch: 3 [20736/46200]	Loss: 1.8319	LR: 0.100000
Training Epoch: 3 [20992/46200]	Loss: 1.8479	LR: 0.100000
Training Epoch: 3 [21248/46200]	Loss: 1.8946	LR: 0.100000
Training Epoch: 3 [21504/46200]	Loss: 1.8802	LR: 0.100000
Training Epoch: 3 [21760/46200]	Loss: 1.9336	LR: 0.100000
Training Epoch: 3 [22016/46200]	Loss: 1.8104	LR: 0.100000
Training Epoch: 3 [22272/46200]	Loss: 1.7831	LR: 0.100000
Training Epoch: 3 [22528/46200]	Loss: 2.0082	LR: 0.100000
Training Epoch: 3 [22784/46200]	Loss: 1.8942	LR: 0.100000
Training Epoch: 3 [23040/46200]	Loss: 1.8499	LR: 0.100000
Training Epoch: 3 [23296/46200]	Loss: 1.8870	LR: 0.100000
Training Epoch: 3 [23552/46200]	Loss: 1.9654	LR: 0.100000
Training Epoch: 3 [23808/46200]	Loss: 1.8253	LR: 0.100000
Training Epoch: 3 [24064/46200]	Loss: 1.9595	LR: 0.100000
Training Epoch: 3 [24320/46200]	Loss: 1.9372	LR: 0.100000
Training Epoch: 3 [24576/46200]	Loss: 2.0697	LR: 0.100000
Training Epoch: 3 [24832/46200]	Loss: 2.0376	LR: 0.100000
Training Epoch: 3 [25088/46200]	Loss: 2.0863	LR: 0.100000
Training Epoch: 3 [25344/46200]	Loss: 1.9546	LR: 0.100000
Training Epoch: 3 [25600/46200]	Loss: 1.8616	LR: 0.100000
Training Epoch: 3 [25856/46200]	Loss: 2.0124	LR: 0.100000
Training Epoch: 3 [26112/46200]	Loss: 1.7807	LR: 0.100000
Training Epoch: 3 [26368/46200]	Loss: 2.1279	LR: 0.100000
Training Epoch: 3 [26624/46200]	Loss: 1.8627	LR: 0.100000
Training Epoch: 3 [26880/46200]	Loss: 1.9099	LR: 0.100000
Training Epoch: 3 [27136/46200]	Loss: 1.8584	LR: 0.100000
Training Epoch: 3 [27392/46200]	Loss: 1.8661	LR: 0.100000
Training Epoch: 3 [27648/46200]	Loss: 1.8555	LR: 0.100000
Training Epoch: 3 [27904/46200]	Loss: 1.8557	LR: 0.100000
Training Epoch: 3 [28160/46200]	Loss: 1.8118	LR: 0.100000
Training Epoch: 3 [28416/46200]	Loss: 1.8216	LR: 0.100000
Training Epoch: 3 [28672/46200]	Loss: 1.8469	LR: 0.100000
Training Epoch: 3 [28928/46200]	Loss: 1.8504	LR: 0.100000
Training Epoch: 3 [29184/46200]	Loss: 1.9424	LR: 0.100000
Training Epoch: 3 [29440/46200]	Loss: 1.9951	LR: 0.100000
Training Epoch: 3 [29696/46200]	Loss: 1.8868	LR: 0.100000
Training Epoch: 3 [29952/46200]	Loss: 1.8725	LR: 0.100000
Training Epoch: 3 [30208/46200]	Loss: 1.8340	LR: 0.100000
Training Epoch: 3 [30464/46200]	Loss: 2.0611	LR: 0.100000
Training Epoch: 3 [30720/46200]	Loss: 1.9457	LR: 0.100000
Training Epoch: 3 [30976/46200]	Loss: 1.9424	LR: 0.100000
Training Epoch: 3 [31232/46200]	Loss: 1.7631	LR: 0.100000
Training Epoch: 3 [31488/46200]	Loss: 1.8655	LR: 0.100000
Training Epoch: 3 [31744/46200]	Loss: 1.9705	LR: 0.100000
Training Epoch: 3 [32000/46200]	Loss: 1.9444	LR: 0.100000
Training Epoch: 3 [32256/46200]	Loss: 1.8321	LR: 0.100000
Training Epoch: 3 [32512/46200]	Loss: 1.8591	LR: 0.100000
Training Epoch: 3 [32768/46200]	Loss: 1.8552	LR: 0.100000
Training Epoch: 3 [33024/46200]	Loss: 2.0526	LR: 0.100000
Training Epoch: 3 [33280/46200]	Loss: 1.7744	LR: 0.100000
Training Epoch: 3 [33536/46200]	Loss: 1.8395	LR: 0.100000
Training Epoch: 3 [33792/46200]	Loss: 1.8122	LR: 0.100000
Training Epoch: 3 [34048/46200]	Loss: 1.7499	LR: 0.100000
Training Epoch: 3 [34304/46200]	Loss: 1.7567	LR: 0.100000
Training Epoch: 3 [34560/46200]	Loss: 1.9797	LR: 0.100000
Training Epoch: 3 [34816/46200]	Loss: 1.8991	LR: 0.100000
Training Epoch: 3 [35072/46200]	Loss: 1.8492	LR: 0.100000
Training Epoch: 3 [35328/46200]	Loss: 1.8150	LR: 0.100000
Training Epoch: 3 [35584/46200]	Loss: 1.8144	LR: 0.100000
Training Epoch: 3 [35840/46200]	Loss: 1.8464	LR: 0.100000
Training Epoch: 3 [36096/46200]	Loss: 1.8157	LR: 0.100000
Training Epoch: 3 [36352/46200]	Loss: 1.9255	LR: 0.100000
Training Epoch: 3 [36608/46200]	Loss: 1.9126	LR: 0.100000
Training Epoch: 3 [36864/46200]	Loss: 1.8956	LR: 0.100000
Training Epoch: 3 [37120/46200]	Loss: 1.7704	LR: 0.100000
Training Epoch: 3 [37376/46200]	Loss: 1.8069	LR: 0.100000
Training Epoch: 3 [37632/46200]	Loss: 1.7736	LR: 0.100000
Training Epoch: 3 [37888/46200]	Loss: 1.7790	LR: 0.100000
Training Epoch: 3 [38144/46200]	Loss: 1.8298	LR: 0.100000
Training Epoch: 3 [38400/46200]	Loss: 1.8251	LR: 0.100000
Training Epoch: 3 [38656/46200]	Loss: 1.9075	LR: 0.100000
Training Epoch: 3 [38912/46200]	Loss: 1.8743	LR: 0.100000
Training Epoch: 3 [39168/46200]	Loss: 1.6603	LR: 0.100000
Training Epoch: 3 [39424/46200]	Loss: 1.8865	LR: 0.100000
Training Epoch: 3 [39680/46200]	Loss: 1.9162	LR: 0.100000
Training Epoch: 3 [39936/46200]	Loss: 1.9613	LR: 0.100000
Training Epoch: 3 [40192/46200]	Loss: 1.9312	LR: 0.100000
Training Epoch: 3 [40448/46200]	Loss: 1.8749	LR: 0.100000
Training Epoch: 3 [40704/46200]	Loss: 1.7788	LR: 0.100000
Training Epoch: 3 [40960/46200]	Loss: 1.7680	LR: 0.100000
Training Epoch: 3 [41216/46200]	Loss: 1.7507	LR: 0.100000
Training Epoch: 3 [41472/46200]	Loss: 1.8879	LR: 0.100000
Training Epoch: 3 [41728/46200]	Loss: 1.9654	LR: 0.100000
Training Epoch: 3 [41984/46200]	Loss: 1.8787	LR: 0.100000
Training Epoch: 3 [42240/46200]	Loss: 1.7863	LR: 0.100000
Training Epoch: 3 [42496/46200]	Loss: 1.8569	LR: 0.100000
Training Epoch: 3 [42752/46200]	Loss: 1.7385	LR: 0.100000
Training Epoch: 3 [43008/46200]	Loss: 1.7823	LR: 0.100000
Training Epoch: 3 [43264/46200]	Loss: 1.8634	LR: 0.100000
Training Epoch: 3 [43520/46200]	Loss: 1.8435	LR: 0.100000
Training Epoch: 3 [43776/46200]	Loss: 1.8447	LR: 0.100000
Training Epoch: 3 [44032/46200]	Loss: 1.9585	LR: 0.100000
Training Epoch: 3 [44288/46200]	Loss: 1.8410	LR: 0.100000
Training Epoch: 3 [44544/46200]	Loss: 1.7607	LR: 0.100000
Training Epoch: 3 [44800/46200]	Loss: 1.8692	LR: 0.100000
Training Epoch: 3 [45056/46200]	Loss: 1.8431	LR: 0.100000
Training Epoch: 3 [45312/46200]	Loss: 1.9053	LR: 0.100000
Training Epoch: 3 [45568/46200]	Loss: 1.8171	LR: 0.100000
Training Epoch: 3 [45824/46200]	Loss: 1.8644	LR: 0.100000
Training Epoch: 3 [46080/46200]	Loss: 1.7731	LR: 0.100000
Training Epoch: 3 [46200/46200]	Loss: 1.9328	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9181, Train Accuracy: 0.4005
Epoch 3 training time consumed: 24.99s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0074, Accuracy: 0.4182, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.8465	LR: 0.100000
Training Epoch: 4 [512/46200]	Loss: 1.7103	LR: 0.100000
Training Epoch: 4 [768/46200]	Loss: 1.7320	LR: 0.100000
Training Epoch: 4 [1024/46200]	Loss: 1.8130	LR: 0.100000
Training Epoch: 4 [1280/46200]	Loss: 1.7408	LR: 0.100000
Training Epoch: 4 [1536/46200]	Loss: 1.8133	LR: 0.100000
Training Epoch: 4 [1792/46200]	Loss: 1.8378	LR: 0.100000
Training Epoch: 4 [2048/46200]	Loss: 1.7074	LR: 0.100000
Training Epoch: 4 [2304/46200]	Loss: 1.7093	LR: 0.100000
Training Epoch: 4 [2560/46200]	Loss: 1.7151	LR: 0.100000
Training Epoch: 4 [2816/46200]	Loss: 1.7313	LR: 0.100000
Training Epoch: 4 [3072/46200]	Loss: 1.8136	LR: 0.100000
Training Epoch: 4 [3328/46200]	Loss: 1.7786	LR: 0.100000
Training Epoch: 4 [3584/46200]	Loss: 1.8389	LR: 0.100000
Training Epoch: 4 [3840/46200]	Loss: 1.6308	LR: 0.100000
Training Epoch: 4 [4096/46200]	Loss: 1.6848	LR: 0.100000
Training Epoch: 4 [4352/46200]	Loss: 1.7220	LR: 0.100000
Training Epoch: 4 [4608/46200]	Loss: 1.7622	LR: 0.100000
Training Epoch: 4 [4864/46200]	Loss: 1.6587	LR: 0.100000
Training Epoch: 4 [5120/46200]	Loss: 1.8663	LR: 0.100000
Training Epoch: 4 [5376/46200]	Loss: 1.7603	LR: 0.100000
Training Epoch: 4 [5632/46200]	Loss: 1.7651	LR: 0.100000
Training Epoch: 4 [5888/46200]	Loss: 1.7975	LR: 0.100000
Training Epoch: 4 [6144/46200]	Loss: 1.7470	LR: 0.100000
Training Epoch: 4 [6400/46200]	Loss: 1.6251	LR: 0.100000
Training Epoch: 4 [6656/46200]	Loss: 1.7201	LR: 0.100000
Training Epoch: 4 [6912/46200]	Loss: 1.8485	LR: 0.100000
Training Epoch: 4 [7168/46200]	Loss: 1.8378	LR: 0.100000
Training Epoch: 4 [7424/46200]	Loss: 1.8666	LR: 0.100000
Training Epoch: 4 [7680/46200]	Loss: 1.7713	LR: 0.100000
Training Epoch: 4 [7936/46200]	Loss: 1.6045	LR: 0.100000
Training Epoch: 4 [8192/46200]	Loss: 1.6814	LR: 0.100000
Training Epoch: 4 [8448/46200]	Loss: 1.9065	LR: 0.100000
Training Epoch: 4 [8704/46200]	Loss: 1.7964	LR: 0.100000
Training Epoch: 4 [8960/46200]	Loss: 1.7480	LR: 0.100000
Training Epoch: 4 [9216/46200]	Loss: 1.7280	LR: 0.100000
Training Epoch: 4 [9472/46200]	Loss: 1.7683	LR: 0.100000
Training Epoch: 4 [9728/46200]	Loss: 1.6694	LR: 0.100000
Training Epoch: 4 [9984/46200]	Loss: 1.7456	LR: 0.100000
Training Epoch: 4 [10240/46200]	Loss: 1.7627	LR: 0.100000
Training Epoch: 4 [10496/46200]	Loss: 2.0047	LR: 0.100000
Training Epoch: 4 [10752/46200]	Loss: 1.7267	LR: 0.100000
Training Epoch: 4 [11008/46200]	Loss: 1.7629	LR: 0.100000
Training Epoch: 4 [11264/46200]	Loss: 1.8159	LR: 0.100000
Training Epoch: 4 [11520/46200]	Loss: 1.7905	LR: 0.100000
Training Epoch: 4 [11776/46200]	Loss: 1.7007	LR: 0.100000
Training Epoch: 4 [12032/46200]	Loss: 1.8890	LR: 0.100000
Training Epoch: 4 [12288/46200]	Loss: 1.6397	LR: 0.100000
Training Epoch: 4 [12544/46200]	Loss: 1.7077	LR: 0.100000
Training Epoch: 4 [12800/46200]	Loss: 1.6714	LR: 0.100000
Training Epoch: 4 [13056/46200]	Loss: 1.8376	LR: 0.100000
Training Epoch: 4 [13312/46200]	Loss: 1.7631	LR: 0.100000
Training Epoch: 4 [13568/46200]	Loss: 1.6763	LR: 0.100000
Training Epoch: 4 [13824/46200]	Loss: 1.7339	LR: 0.100000
Training Epoch: 4 [14080/46200]	Loss: 2.0210	LR: 0.100000
Training Epoch: 4 [14336/46200]	Loss: 1.8715	LR: 0.100000
Training Epoch: 4 [14592/46200]	Loss: 1.8888	LR: 0.100000
Training Epoch: 4 [14848/46200]	Loss: 1.5484	LR: 0.100000
Training Epoch: 4 [15104/46200]	Loss: 1.8158	LR: 0.100000
Training Epoch: 4 [15360/46200]	Loss: 1.7293	LR: 0.100000
Training Epoch: 4 [15616/46200]	Loss: 1.8760	LR: 0.100000
Training Epoch: 4 [15872/46200]	Loss: 1.7967	LR: 0.100000
Training Epoch: 4 [16128/46200]	Loss: 1.8116	LR: 0.100000
Training Epoch: 4 [16384/46200]	Loss: 1.7884	LR: 0.100000
Training Epoch: 4 [16640/46200]	Loss: 1.7189	LR: 0.100000
Training Epoch: 4 [16896/46200]	Loss: 1.8340	LR: 0.100000
Training Epoch: 4 [17152/46200]	Loss: 1.7597	LR: 0.100000
Training Epoch: 4 [17408/46200]	Loss: 1.8275	LR: 0.100000
Training Epoch: 4 [17664/46200]	Loss: 1.7924	LR: 0.100000
Training Epoch: 4 [17920/46200]	Loss: 1.8204	LR: 0.100000
Training Epoch: 4 [18176/46200]	Loss: 1.7749	LR: 0.100000
Training Epoch: 4 [18432/46200]	Loss: 1.9498	LR: 0.100000
Training Epoch: 4 [18688/46200]	Loss: 1.7069	LR: 0.100000
Training Epoch: 4 [18944/46200]	Loss: 1.7302	LR: 0.100000
Training Epoch: 4 [19200/46200]	Loss: 1.7663	LR: 0.100000
Training Epoch: 4 [19456/46200]	Loss: 1.7738	LR: 0.100000
Training Epoch: 4 [19712/46200]	Loss: 1.8144	LR: 0.100000
Training Epoch: 4 [19968/46200]	Loss: 1.7538	LR: 0.100000
Training Epoch: 4 [20224/46200]	Loss: 1.8069	LR: 0.100000
Training Epoch: 4 [20480/46200]	Loss: 1.7821	LR: 0.100000
Training Epoch: 4 [20736/46200]	Loss: 1.7379	LR: 0.100000
Training Epoch: 4 [20992/46200]	Loss: 1.7356	LR: 0.100000
Training Epoch: 4 [21248/46200]	Loss: 1.6879	LR: 0.100000
Training Epoch: 4 [21504/46200]	Loss: 1.7047	LR: 0.100000
Training Epoch: 4 [21760/46200]	Loss: 1.5562	LR: 0.100000
Training Epoch: 4 [22016/46200]	Loss: 1.7577	LR: 0.100000
Training Epoch: 4 [22272/46200]	Loss: 1.6993	LR: 0.100000
Training Epoch: 4 [22528/46200]	Loss: 1.7941	LR: 0.100000
Training Epoch: 4 [22784/46200]	Loss: 1.7655	LR: 0.100000
Training Epoch: 4 [23040/46200]	Loss: 1.7259	LR: 0.100000
Training Epoch: 4 [23296/46200]	Loss: 1.7722	LR: 0.100000
Training Epoch: 4 [23552/46200]	Loss: 1.5617	LR: 0.100000
Training Epoch: 4 [23808/46200]	Loss: 1.6832	LR: 0.100000
Training Epoch: 4 [24064/46200]	Loss: 1.6339	LR: 0.100000
Training Epoch: 4 [24320/46200]	Loss: 1.5615	LR: 0.100000
Training Epoch: 4 [24576/46200]	Loss: 1.7337	LR: 0.100000
Training Epoch: 4 [24832/46200]	Loss: 1.6263	LR: 0.100000
Training Epoch: 4 [25088/46200]	Loss: 1.7297	LR: 0.100000
Training Epoch: 4 [25344/46200]	Loss: 1.7052	LR: 0.100000
Training Epoch: 4 [25600/46200]	Loss: 1.7427	LR: 0.100000
Training Epoch: 4 [25856/46200]	Loss: 1.7978	LR: 0.100000
Training Epoch: 4 [26112/46200]	Loss: 1.7705	LR: 0.100000
Training Epoch: 4 [26368/46200]	Loss: 1.7657	LR: 0.100000
Training Epoch: 4 [26624/46200]	Loss: 1.7026	LR: 0.100000
Training Epoch: 4 [26880/46200]	Loss: 1.6795	LR: 0.100000
Training Epoch: 4 [27136/46200]	Loss: 1.6752	LR: 0.100000
Training Epoch: 4 [27392/46200]	Loss: 1.7629	LR: 0.100000
Training Epoch: 4 [27648/46200]	Loss: 1.7326	LR: 0.100000
Training Epoch: 4 [27904/46200]	Loss: 1.7595	LR: 0.100000
Training Epoch: 4 [28160/46200]	Loss: 1.8375	LR: 0.100000
Training Epoch: 4 [28416/46200]	Loss: 1.7883	LR: 0.100000
Training Epoch: 4 [28672/46200]	Loss: 1.7661	LR: 0.100000
Training Epoch: 4 [28928/46200]	Loss: 1.7566	LR: 0.100000
Training Epoch: 4 [29184/46200]	Loss: 1.6964	LR: 0.100000
Training Epoch: 4 [29440/46200]	Loss: 1.7815	LR: 0.100000
Training Epoch: 4 [29696/46200]	Loss: 1.7386	LR: 0.100000
Training Epoch: 4 [29952/46200]	Loss: 1.7418	LR: 0.100000
Training Epoch: 4 [30208/46200]	Loss: 1.8423	LR: 0.100000
Training Epoch: 4 [30464/46200]	Loss: 1.8117	LR: 0.100000
Training Epoch: 4 [30720/46200]	Loss: 1.7414	LR: 0.100000
Training Epoch: 4 [30976/46200]	Loss: 1.7451	LR: 0.100000
Training Epoch: 4 [31232/46200]	Loss: 1.7512	LR: 0.100000
Training Epoch: 4 [31488/46200]	Loss: 1.6378	LR: 0.100000
Training Epoch: 4 [31744/46200]	Loss: 1.6624	LR: 0.100000
Training Epoch: 4 [32000/46200]	Loss: 1.7914	LR: 0.100000
Training Epoch: 4 [32256/46200]	Loss: 1.6460	LR: 0.100000
Training Epoch: 4 [32512/46200]	Loss: 1.6905	LR: 0.100000
Training Epoch: 4 [32768/46200]	Loss: 1.5700	LR: 0.100000
Training Epoch: 4 [33024/46200]	Loss: 1.8554	LR: 0.100000
Training Epoch: 4 [33280/46200]	Loss: 1.8371	LR: 0.100000
Training Epoch: 4 [33536/46200]	Loss: 1.7629	LR: 0.100000
Training Epoch: 4 [33792/46200]	Loss: 1.6232	LR: 0.100000
Training Epoch: 4 [34048/46200]	Loss: 1.6222	LR: 0.100000
Training Epoch: 4 [34304/46200]	Loss: 1.6600	LR: 0.100000
Training Epoch: 4 [34560/46200]	Loss: 1.6821	LR: 0.100000
Training Epoch: 4 [34816/46200]	Loss: 1.6929	LR: 0.100000
Training Epoch: 4 [35072/46200]	Loss: 1.7075	LR: 0.100000
Training Epoch: 4 [35328/46200]	Loss: 1.6695	LR: 0.100000
Training Epoch: 4 [35584/46200]	Loss: 1.5539	LR: 0.100000
Training Epoch: 4 [35840/46200]	Loss: 1.5961	LR: 0.100000
Training Epoch: 4 [36096/46200]	Loss: 1.6034	LR: 0.100000
Training Epoch: 4 [36352/46200]	Loss: 1.9079	LR: 0.100000
Training Epoch: 4 [36608/46200]	Loss: 1.7016	LR: 0.100000
Training Epoch: 4 [36864/46200]	Loss: 1.6828	LR: 0.100000
Training Epoch: 4 [37120/46200]	Loss: 1.7107	LR: 0.100000
Training Epoch: 4 [37376/46200]	Loss: 1.7523	LR: 0.100000
Training Epoch: 4 [37632/46200]	Loss: 1.7719	LR: 0.100000
Training Epoch: 4 [37888/46200]	Loss: 1.6678	LR: 0.100000
Training Epoch: 4 [38144/46200]	Loss: 1.5845	LR: 0.100000
Training Epoch: 4 [38400/46200]	Loss: 1.7105	LR: 0.100000
Training Epoch: 4 [38656/46200]	Loss: 1.8269	LR: 0.100000
Training Epoch: 4 [38912/46200]	Loss: 1.7042	LR: 0.100000
Training Epoch: 4 [39168/46200]	Loss: 1.5780	LR: 0.100000
Training Epoch: 4 [39424/46200]	Loss: 1.7818	LR: 0.100000
Training Epoch: 4 [39680/46200]	Loss: 1.8304	LR: 0.100000
Training Epoch: 4 [39936/46200]	Loss: 1.8069	LR: 0.100000
Training Epoch: 4 [40192/46200]	Loss: 1.6566	LR: 0.100000
Training Epoch: 4 [40448/46200]	Loss: 1.7696	LR: 0.100000
Training Epoch: 4 [40704/46200]	Loss: 1.9301	LR: 0.100000
Training Epoch: 4 [40960/46200]	Loss: 1.7077	LR: 0.100000
Training Epoch: 4 [41216/46200]	Loss: 1.6408	LR: 0.100000
Training Epoch: 4 [41472/46200]	Loss: 1.6490	LR: 0.100000
Training Epoch: 4 [41728/46200]	Loss: 1.4809	LR: 0.100000
Training Epoch: 4 [41984/46200]	Loss: 1.5551	LR: 0.100000
Training Epoch: 4 [42240/46200]	Loss: 1.7826	LR: 0.100000
Training Epoch: 4 [42496/46200]	Loss: 1.5614	LR: 0.100000
Training Epoch: 4 [42752/46200]	Loss: 1.6063	LR: 0.100000
Training Epoch: 4 [43008/46200]	Loss: 1.5477	LR: 0.100000
Training Epoch: 4 [43264/46200]	Loss: 1.6671	LR: 0.100000
Training Epoch: 4 [43520/46200]	Loss: 1.7196	LR: 0.100000
Training Epoch: 4 [43776/46200]	Loss: 1.7214	LR: 0.100000
Training Epoch: 4 [44032/46200]	Loss: 1.6997	LR: 0.100000
Training Epoch: 4 [44288/46200]	Loss: 1.5900	LR: 0.100000
Training Epoch: 4 [44544/46200]	Loss: 1.7954	LR: 0.100000
Training Epoch: 4 [44800/46200]	Loss: 1.6778	LR: 0.100000
Training Epoch: 4 [45056/46200]	Loss: 1.6102	LR: 0.100000
Training Epoch: 4 [45312/46200]	Loss: 1.6912	LR: 0.100000
Training Epoch: 4 [45568/46200]	Loss: 1.6712	LR: 0.100000
Training Epoch: 4 [45824/46200]	Loss: 1.7236	LR: 0.100000
Training Epoch: 4 [46080/46200]	Loss: 1.6837	LR: 0.100000
Training Epoch: 4 [46200/46200]	Loss: 1.5483	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7346, Train Accuracy: 0.4534
Epoch 4 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0075, Accuracy: 0.4327, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.5344	LR: 0.100000
Training Epoch: 5 [512/46200]	Loss: 1.4397	LR: 0.100000
Training Epoch: 5 [768/46200]	Loss: 1.6133	LR: 0.100000
Training Epoch: 5 [1024/46200]	Loss: 1.7304	LR: 0.100000
Training Epoch: 5 [1280/46200]	Loss: 1.4921	LR: 0.100000
Training Epoch: 5 [1536/46200]	Loss: 1.6123	LR: 0.100000
Training Epoch: 5 [1792/46200]	Loss: 1.6071	LR: 0.100000
Training Epoch: 5 [2048/46200]	Loss: 1.7656	LR: 0.100000
Training Epoch: 5 [2304/46200]	Loss: 1.7745	LR: 0.100000
Training Epoch: 5 [2560/46200]	Loss: 1.8249	LR: 0.100000
Training Epoch: 5 [2816/46200]	Loss: 1.4999	LR: 0.100000
Training Epoch: 5 [3072/46200]	Loss: 1.5812	LR: 0.100000
Training Epoch: 5 [3328/46200]	Loss: 1.7143	LR: 0.100000
Training Epoch: 5 [3584/46200]	Loss: 1.6447	LR: 0.100000
Training Epoch: 5 [3840/46200]	Loss: 1.7427	LR: 0.100000
Training Epoch: 5 [4096/46200]	Loss: 1.6354	LR: 0.100000
Training Epoch: 5 [4352/46200]	Loss: 1.5832	LR: 0.100000
Training Epoch: 5 [4608/46200]	Loss: 1.6980	LR: 0.100000
Training Epoch: 5 [4864/46200]	Loss: 1.5799	LR: 0.100000
Training Epoch: 5 [5120/46200]	Loss: 1.6994	LR: 0.100000
Training Epoch: 5 [5376/46200]	Loss: 1.8333	LR: 0.100000
Training Epoch: 5 [5632/46200]	Loss: 1.6308	LR: 0.100000
Training Epoch: 5 [5888/46200]	Loss: 1.5527	LR: 0.100000
Training Epoch: 5 [6144/46200]	Loss: 1.6397	LR: 0.100000
Training Epoch: 5 [6400/46200]	Loss: 1.6672	LR: 0.100000
Training Epoch: 5 [6656/46200]	Loss: 1.5932	LR: 0.100000
Training Epoch: 5 [6912/46200]	Loss: 1.5937	LR: 0.100000
Training Epoch: 5 [7168/46200]	Loss: 1.5796	LR: 0.100000
Training Epoch: 5 [7424/46200]	Loss: 1.4733	LR: 0.100000
Training Epoch: 5 [7680/46200]	Loss: 1.6178	LR: 0.100000
Training Epoch: 5 [7936/46200]	Loss: 1.6504	LR: 0.100000
Training Epoch: 5 [8192/46200]	Loss: 1.5296	LR: 0.100000
Training Epoch: 5 [8448/46200]	Loss: 1.5612	LR: 0.100000
Training Epoch: 5 [8704/46200]	Loss: 1.5294	LR: 0.100000
Training Epoch: 5 [8960/46200]	Loss: 1.7029	LR: 0.100000
Training Epoch: 5 [9216/46200]	Loss: 1.5596	LR: 0.100000
Training Epoch: 5 [9472/46200]	Loss: 1.5949	LR: 0.100000
Training Epoch: 5 [9728/46200]	Loss: 1.5453	LR: 0.100000
Training Epoch: 5 [9984/46200]	Loss: 1.5284	LR: 0.100000
Training Epoch: 5 [10240/46200]	Loss: 1.5399	LR: 0.100000
Training Epoch: 5 [10496/46200]	Loss: 1.5060	LR: 0.100000
Training Epoch: 5 [10752/46200]	Loss: 1.6480	LR: 0.100000
Training Epoch: 5 [11008/46200]	Loss: 1.6610	LR: 0.100000
Training Epoch: 5 [11264/46200]	Loss: 1.5908	LR: 0.100000
Training Epoch: 5 [11520/46200]	Loss: 1.6543	LR: 0.100000
Training Epoch: 5 [11776/46200]	Loss: 1.6693	LR: 0.100000
Training Epoch: 5 [12032/46200]	Loss: 1.6241	LR: 0.100000
Training Epoch: 5 [12288/46200]	Loss: 1.6103	LR: 0.100000
Training Epoch: 5 [12544/46200]	Loss: 1.5903	LR: 0.100000
Training Epoch: 5 [12800/46200]	Loss: 1.6154	LR: 0.100000
Training Epoch: 5 [13056/46200]	Loss: 1.5731	LR: 0.100000
Training Epoch: 5 [13312/46200]	Loss: 1.6484	LR: 0.100000
Training Epoch: 5 [13568/46200]	Loss: 1.6315	LR: 0.100000
Training Epoch: 5 [13824/46200]	Loss: 1.5886	LR: 0.100000
Training Epoch: 5 [14080/46200]	Loss: 1.4823	LR: 0.100000
Training Epoch: 5 [14336/46200]	Loss: 1.6901	LR: 0.100000
Training Epoch: 5 [14592/46200]	Loss: 1.5650	LR: 0.100000
Training Epoch: 5 [14848/46200]	Loss: 1.6799	LR: 0.100000
Training Epoch: 5 [15104/46200]	Loss: 1.6552	LR: 0.100000
Training Epoch: 5 [15360/46200]	Loss: 1.5779	LR: 0.100000
Training Epoch: 5 [15616/46200]	Loss: 1.6115	LR: 0.100000
Training Epoch: 5 [15872/46200]	Loss: 1.7435	LR: 0.100000
Training Epoch: 5 [16128/46200]	Loss: 1.6278	LR: 0.100000
Training Epoch: 5 [16384/46200]	Loss: 1.5667	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.6335	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.8686	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.6400	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.6867	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.5987	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.7230	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.6461	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.5919	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.5722	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.5845	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.6857	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.6855	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.5062	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.5076	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.6366	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.5804	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.4902	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.6186	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.5280	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.5985	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.4000	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.5485	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.6440	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.6047	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.6017	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.3373	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.5211	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.5584	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.5649	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.4797	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.5863	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.6817	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.6482	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.5436	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.3353	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.6915	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.5860	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.5350	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.5073	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.5444	LR: 0.100000
Training Epoch: 5 [26880/46200]	Loss: 1.4743	LR: 0.100000
Training Epoch: 5 [27136/46200]	Loss: 1.6491	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.6142	LR: 0.100000
Training Epoch: 5 [27648/46200]	Loss: 1.5202	LR: 0.100000
Training Epoch: 5 [27904/46200]	Loss: 1.4077	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.5683	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.5367	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.6509	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.6462	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.5613	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.5889	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.5682	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.4705	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.5838	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.6934	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.7378	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.4800	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.5792	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.4229	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.5926	LR: 0.100000
Training Epoch: 5 [32000/46200]	Loss: 1.5683	LR: 0.100000
Training Epoch: 5 [32256/46200]	Loss: 1.4546	LR: 0.100000
Training Epoch: 5 [32512/46200]	Loss: 1.5964	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.4671	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.5375	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.4516	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.4838	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.5774	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.4966	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.4664	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.6262	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.4457	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.5414	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.5142	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.7215	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.6307	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.5226	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.5363	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.6605	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.6043	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.5309	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.6154	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.5821	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.4053	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.5296	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.5579	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.5342	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.6933	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.4266	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.5473	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.5671	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.6006	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.5941	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.4737	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.5903	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.6101	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.5044	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.4972	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.6841	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.6740	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.4597	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.6855	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.6126	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.5052	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.4524	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.6965	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.7117	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.5419	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.3410	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.7540	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.5125	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.6098	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.6074	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.5340	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.4028	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.5951	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.5298	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5849, Train Accuracy: 0.4987
Epoch 5 training time consumed: 25.11s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4819, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-5-best.pth
Training Epoch: 6 [256/46200]	Loss: 1.4375	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.4408	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.6086	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.6403	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.7502	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.4792	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.4419	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.6905	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.5972	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.3997	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.5681	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.5088	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.5939	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.5175	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.5552	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.6210	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.5559	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.5398	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.4498	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.4335	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.4369	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.4977	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.3687	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.4558	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.3913	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.4238	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.5002	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.5553	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.4785	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.5472	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.6806	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.3931	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.5292	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.3787	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.4582	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.4483	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.4748	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.4375	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.6068	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.6048	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.4423	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.4731	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.3552	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.4574	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.4199	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.5289	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.5220	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.5941	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.4456	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.5547	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.4478	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.4653	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.4216	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.5106	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.7018	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.3813	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.3881	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.3415	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.3785	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.5000	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.5528	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.4583	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.3831	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.4045	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.4750	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.5651	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.5712	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.4989	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.5348	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.5047	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.3717	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.5541	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.4055	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.5976	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.4607	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.4443	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.5805	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.4045	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.4758	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.5738	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.5656	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.5133	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.4900	LR: 0.100000
Training Epoch: 6 [21760/46200]	Loss: 1.4312	LR: 0.100000
Training Epoch: 6 [22016/46200]	Loss: 1.2517	LR: 0.100000
Training Epoch: 6 [22272/46200]	Loss: 1.3539	LR: 0.100000
Training Epoch: 6 [22528/46200]	Loss: 1.5575	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.3851	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.5412	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.5223	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.4682	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.3814	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.4252	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.6550	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.3527	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.5775	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.5432	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.3315	LR: 0.100000
Training Epoch: 6 [25600/46200]	Loss: 1.3484	LR: 0.100000
Training Epoch: 6 [25856/46200]	Loss: 1.5027	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.4863	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.3980	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.4228	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.4135	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.4327	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.4815	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.5807	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.3782	LR: 0.100000
Training Epoch: 6 [28160/46200]	Loss: 1.4097	LR: 0.100000
Training Epoch: 6 [28416/46200]	Loss: 1.4425	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.5416	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.3952	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.6802	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.3974	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.4216	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.3408	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.4882	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.5037	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.4946	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.4402	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.3920	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.4092	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.4114	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.3273	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.5124	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.5184	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.4236	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.4304	LR: 0.100000
Training Epoch: 6 [33280/46200]	Loss: 1.6055	LR: 0.100000
Training Epoch: 6 [33536/46200]	Loss: 1.4363	LR: 0.100000
Training Epoch: 6 [33792/46200]	Loss: 1.3355	LR: 0.100000
Training Epoch: 6 [34048/46200]	Loss: 1.3880	LR: 0.100000
Training Epoch: 6 [34304/46200]	Loss: 1.4114	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.3572	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.5241	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.4352	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.3728	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.3128	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.3874	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.3652	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.3894	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.5340	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.3888	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.5318	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.4710	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.5211	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.5061	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.3645	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.4178	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.5456	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.5809	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.4101	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.3852	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.5265	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.4989	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.4307	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.3963	LR: 0.100000
Training Epoch: 6 [40704/46200]	Loss: 1.3200	LR: 0.100000
Training Epoch: 6 [40960/46200]	Loss: 1.5273	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.3360	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.4145	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.4604	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.2507	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.3527	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.3748	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.4437	LR: 0.100000
Training Epoch: 6 [43008/46200]	Loss: 1.2482	LR: 0.100000
Training Epoch: 6 [43264/46200]	Loss: 1.3079	LR: 0.100000
Training Epoch: 6 [43520/46200]	Loss: 1.3658	LR: 0.100000
Training Epoch: 6 [43776/46200]	Loss: 1.3536	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.2741	LR: 0.100000
Training Epoch: 6 [44288/46200]	Loss: 1.4237	LR: 0.100000
Training Epoch: 6 [44544/46200]	Loss: 1.4804	LR: 0.100000
Training Epoch: 6 [44800/46200]	Loss: 1.3828	LR: 0.100000
Training Epoch: 6 [45056/46200]	Loss: 1.4879	LR: 0.100000
Training Epoch: 6 [45312/46200]	Loss: 1.3842	LR: 0.100000
Training Epoch: 6 [45568/46200]	Loss: 1.4199	LR: 0.100000
Training Epoch: 6 [45824/46200]	Loss: 1.3181	LR: 0.100000
Training Epoch: 6 [46080/46200]	Loss: 1.4195	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.2588	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4607, Train Accuracy: 0.5352
Epoch 6 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0066, Accuracy: 0.5098, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.4578	LR: 0.100000
Training Epoch: 7 [512/46200]	Loss: 1.5369	LR: 0.100000
Training Epoch: 7 [768/46200]	Loss: 1.3722	LR: 0.100000
Training Epoch: 7 [1024/46200]	Loss: 1.3764	LR: 0.100000
Training Epoch: 7 [1280/46200]	Loss: 1.3533	LR: 0.100000
Training Epoch: 7 [1536/46200]	Loss: 1.4316	LR: 0.100000
Training Epoch: 7 [1792/46200]	Loss: 1.3846	LR: 0.100000
Training Epoch: 7 [2048/46200]	Loss: 1.4629	LR: 0.100000
Training Epoch: 7 [2304/46200]	Loss: 1.3863	LR: 0.100000
Training Epoch: 7 [2560/46200]	Loss: 1.3708	LR: 0.100000
Training Epoch: 7 [2816/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 7 [3072/46200]	Loss: 1.3202	LR: 0.100000
Training Epoch: 7 [3328/46200]	Loss: 1.3701	LR: 0.100000
Training Epoch: 7 [3584/46200]	Loss: 1.3788	LR: 0.100000
Training Epoch: 7 [3840/46200]	Loss: 1.2366	LR: 0.100000
Training Epoch: 7 [4096/46200]	Loss: 1.4171	LR: 0.100000
Training Epoch: 7 [4352/46200]	Loss: 1.3473	LR: 0.100000
Training Epoch: 7 [4608/46200]	Loss: 1.4254	LR: 0.100000
Training Epoch: 7 [4864/46200]	Loss: 1.4004	LR: 0.100000
Training Epoch: 7 [5120/46200]	Loss: 1.2924	LR: 0.100000
Training Epoch: 7 [5376/46200]	Loss: 1.4353	LR: 0.100000
Training Epoch: 7 [5632/46200]	Loss: 1.4680	LR: 0.100000
Training Epoch: 7 [5888/46200]	Loss: 1.4243	LR: 0.100000
Training Epoch: 7 [6144/46200]	Loss: 1.2477	LR: 0.100000
Training Epoch: 7 [6400/46200]	Loss: 1.3488	LR: 0.100000
Training Epoch: 7 [6656/46200]	Loss: 1.2143	LR: 0.100000
Training Epoch: 7 [6912/46200]	Loss: 1.3144	LR: 0.100000
Training Epoch: 7 [7168/46200]	Loss: 1.4254	LR: 0.100000
Training Epoch: 7 [7424/46200]	Loss: 1.3210	LR: 0.100000
Training Epoch: 7 [7680/46200]	Loss: 1.4613	LR: 0.100000
Training Epoch: 7 [7936/46200]	Loss: 1.4185	LR: 0.100000
Training Epoch: 7 [8192/46200]	Loss: 1.2383	LR: 0.100000
Training Epoch: 7 [8448/46200]	Loss: 1.2673	LR: 0.100000
Training Epoch: 7 [8704/46200]	Loss: 1.4352	LR: 0.100000
Training Epoch: 7 [8960/46200]	Loss: 1.4247	LR: 0.100000
Training Epoch: 7 [9216/46200]	Loss: 1.4589	LR: 0.100000
Training Epoch: 7 [9472/46200]	Loss: 1.4483	LR: 0.100000
Training Epoch: 7 [9728/46200]	Loss: 1.3103	LR: 0.100000
Training Epoch: 7 [9984/46200]	Loss: 1.5233	LR: 0.100000
Training Epoch: 7 [10240/46200]	Loss: 1.4436	LR: 0.100000
Training Epoch: 7 [10496/46200]	Loss: 1.3472	LR: 0.100000
Training Epoch: 7 [10752/46200]	Loss: 1.2904	LR: 0.100000
Training Epoch: 7 [11008/46200]	Loss: 1.4621	LR: 0.100000
Training Epoch: 7 [11264/46200]	Loss: 1.3843	LR: 0.100000
Training Epoch: 7 [11520/46200]	Loss: 1.3400	LR: 0.100000
Training Epoch: 7 [11776/46200]	Loss: 1.4291	LR: 0.100000
Training Epoch: 7 [12032/46200]	Loss: 1.2597	LR: 0.100000
Training Epoch: 7 [12288/46200]	Loss: 1.5368	LR: 0.100000
Training Epoch: 7 [12544/46200]	Loss: 1.5181	LR: 0.100000
Training Epoch: 7 [12800/46200]	Loss: 1.4519	LR: 0.100000
Training Epoch: 7 [13056/46200]	Loss: 1.3605	LR: 0.100000
Training Epoch: 7 [13312/46200]	Loss: 1.3528	LR: 0.100000
Training Epoch: 7 [13568/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 7 [13824/46200]	Loss: 1.3541	LR: 0.100000
Training Epoch: 7 [14080/46200]	Loss: 1.1989	LR: 0.100000
Training Epoch: 7 [14336/46200]	Loss: 1.2300	LR: 0.100000
Training Epoch: 7 [14592/46200]	Loss: 1.5236	LR: 0.100000
Training Epoch: 7 [14848/46200]	Loss: 1.4252	LR: 0.100000
Training Epoch: 7 [15104/46200]	Loss: 1.2511	LR: 0.100000
Training Epoch: 7 [15360/46200]	Loss: 1.2551	LR: 0.100000
Training Epoch: 7 [15616/46200]	Loss: 1.3479	LR: 0.100000
Training Epoch: 7 [15872/46200]	Loss: 1.5549	LR: 0.100000
Training Epoch: 7 [16128/46200]	Loss: 1.3648	LR: 0.100000
Training Epoch: 7 [16384/46200]	Loss: 1.3883	LR: 0.100000
Training Epoch: 7 [16640/46200]	Loss: 1.4258	LR: 0.100000
Training Epoch: 7 [16896/46200]	Loss: 1.3195	LR: 0.100000
Training Epoch: 7 [17152/46200]	Loss: 1.4035	LR: 0.100000
Training Epoch: 7 [17408/46200]	Loss: 1.5618	LR: 0.100000
Training Epoch: 7 [17664/46200]	Loss: 1.3305	LR: 0.100000
Training Epoch: 7 [17920/46200]	Loss: 1.3694	LR: 0.100000
Training Epoch: 7 [18176/46200]	Loss: 1.4850	LR: 0.100000
Training Epoch: 7 [18432/46200]	Loss: 1.3936	LR: 0.100000
Training Epoch: 7 [18688/46200]	Loss: 1.4296	LR: 0.100000
Training Epoch: 7 [18944/46200]	Loss: 1.3278	LR: 0.100000
Training Epoch: 7 [19200/46200]	Loss: 1.3554	LR: 0.100000
Training Epoch: 7 [19456/46200]	Loss: 1.2564	LR: 0.100000
Training Epoch: 7 [19712/46200]	Loss: 1.2999	LR: 0.100000
Training Epoch: 7 [19968/46200]	Loss: 1.3457	LR: 0.100000
Training Epoch: 7 [20224/46200]	Loss: 1.2900	LR: 0.100000
Training Epoch: 7 [20480/46200]	Loss: 1.3449	LR: 0.100000
Training Epoch: 7 [20736/46200]	Loss: 1.5762	LR: 0.100000
Training Epoch: 7 [20992/46200]	Loss: 1.3927	LR: 0.100000
Training Epoch: 7 [21248/46200]	Loss: 1.2830	LR: 0.100000
Training Epoch: 7 [21504/46200]	Loss: 1.2438	LR: 0.100000
Training Epoch: 7 [21760/46200]	Loss: 1.3031	LR: 0.100000
Training Epoch: 7 [22016/46200]	Loss: 1.4264	LR: 0.100000
Training Epoch: 7 [22272/46200]	Loss: 1.3666	LR: 0.100000
Training Epoch: 7 [22528/46200]	Loss: 1.2829	LR: 0.100000
Training Epoch: 7 [22784/46200]	Loss: 1.3912	LR: 0.100000
Training Epoch: 7 [23040/46200]	Loss: 1.3144	LR: 0.100000
Training Epoch: 7 [23296/46200]	Loss: 1.4675	LR: 0.100000
Training Epoch: 7 [23552/46200]	Loss: 1.2687	LR: 0.100000
Training Epoch: 7 [23808/46200]	Loss: 1.2790	LR: 0.100000
Training Epoch: 7 [24064/46200]	Loss: 1.2888	LR: 0.100000
Training Epoch: 7 [24320/46200]	Loss: 1.2212	LR: 0.100000
Training Epoch: 7 [24576/46200]	Loss: 1.1865	LR: 0.100000
Training Epoch: 7 [24832/46200]	Loss: 1.2276	LR: 0.100000
Training Epoch: 7 [25088/46200]	Loss: 1.2780	LR: 0.100000
Training Epoch: 7 [25344/46200]	Loss: 1.3129	LR: 0.100000
Training Epoch: 7 [25600/46200]	Loss: 1.4578	LR: 0.100000
Training Epoch: 7 [25856/46200]	Loss: 1.3158	LR: 0.100000
Training Epoch: 7 [26112/46200]	Loss: 1.4683	LR: 0.100000
Training Epoch: 7 [26368/46200]	Loss: 1.2346	LR: 0.100000
Training Epoch: 7 [26624/46200]	Loss: 1.4160	LR: 0.100000
Training Epoch: 7 [26880/46200]	Loss: 1.3592	LR: 0.100000
Training Epoch: 7 [27136/46200]	Loss: 1.2811	LR: 0.100000
Training Epoch: 7 [27392/46200]	Loss: 1.4646	LR: 0.100000
Training Epoch: 7 [27648/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 7 [27904/46200]	Loss: 1.4671	LR: 0.100000
Training Epoch: 7 [28160/46200]	Loss: 1.2465	LR: 0.100000
Training Epoch: 7 [28416/46200]	Loss: 1.4364	LR: 0.100000
Training Epoch: 7 [28672/46200]	Loss: 1.3144	LR: 0.100000
Training Epoch: 7 [28928/46200]	Loss: 1.3760	LR: 0.100000
Training Epoch: 7 [29184/46200]	Loss: 1.4546	LR: 0.100000
Training Epoch: 7 [29440/46200]	Loss: 1.3970	LR: 0.100000
Training Epoch: 7 [29696/46200]	Loss: 1.2908	LR: 0.100000
Training Epoch: 7 [29952/46200]	Loss: 1.3899	LR: 0.100000
Training Epoch: 7 [30208/46200]	Loss: 1.3491	LR: 0.100000
Training Epoch: 7 [30464/46200]	Loss: 1.4348	LR: 0.100000
Training Epoch: 7 [30720/46200]	Loss: 1.3979	LR: 0.100000
Training Epoch: 7 [30976/46200]	Loss: 1.3613	LR: 0.100000
Training Epoch: 7 [31232/46200]	Loss: 1.4069	LR: 0.100000
Training Epoch: 7 [31488/46200]	Loss: 1.2477	LR: 0.100000
Training Epoch: 7 [31744/46200]	Loss: 1.1987	LR: 0.100000
Training Epoch: 7 [32000/46200]	Loss: 1.2702	LR: 0.100000
Training Epoch: 7 [32256/46200]	Loss: 1.4394	LR: 0.100000
Training Epoch: 7 [32512/46200]	Loss: 1.2048	LR: 0.100000
Training Epoch: 7 [32768/46200]	Loss: 1.2897	LR: 0.100000
Training Epoch: 7 [33024/46200]	Loss: 1.5176	LR: 0.100000
Training Epoch: 7 [33280/46200]	Loss: 1.4762	LR: 0.100000
Training Epoch: 7 [33536/46200]	Loss: 1.3414	LR: 0.100000
Training Epoch: 7 [33792/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 7 [34048/46200]	Loss: 1.2565	LR: 0.100000
Training Epoch: 7 [34304/46200]	Loss: 1.5097	LR: 0.100000
Training Epoch: 7 [34560/46200]	Loss: 1.4764	LR: 0.100000
Training Epoch: 7 [34816/46200]	Loss: 1.3697	LR: 0.100000
Training Epoch: 7 [35072/46200]	Loss: 1.3617	LR: 0.100000
Training Epoch: 7 [35328/46200]	Loss: 1.3823	LR: 0.100000
Training Epoch: 7 [35584/46200]	Loss: 1.2746	LR: 0.100000
Training Epoch: 7 [35840/46200]	Loss: 1.3858	LR: 0.100000
Training Epoch: 7 [36096/46200]	Loss: 1.2639	LR: 0.100000
Training Epoch: 7 [36352/46200]	Loss: 1.3882	LR: 0.100000
Training Epoch: 7 [36608/46200]	Loss: 1.2933	LR: 0.100000
Training Epoch: 7 [36864/46200]	Loss: 1.3281	LR: 0.100000
Training Epoch: 7 [37120/46200]	Loss: 1.3667	LR: 0.100000
Training Epoch: 7 [37376/46200]	Loss: 1.1651	LR: 0.100000
Training Epoch: 7 [37632/46200]	Loss: 1.4684	LR: 0.100000
Training Epoch: 7 [37888/46200]	Loss: 1.1841	LR: 0.100000
Training Epoch: 7 [38144/46200]	Loss: 1.3622	LR: 0.100000
Training Epoch: 7 [38400/46200]	Loss: 1.3622	LR: 0.100000
Training Epoch: 7 [38656/46200]	Loss: 1.2752	LR: 0.100000
Training Epoch: 7 [38912/46200]	Loss: 1.4200	LR: 0.100000
Training Epoch: 7 [39168/46200]	Loss: 1.4537	LR: 0.100000
Training Epoch: 7 [39424/46200]	Loss: 1.3670	LR: 0.100000
Training Epoch: 7 [39680/46200]	Loss: 1.2935	LR: 0.100000
Training Epoch: 7 [39936/46200]	Loss: 1.3802	LR: 0.100000
Training Epoch: 7 [40192/46200]	Loss: 1.2901	LR: 0.100000
Training Epoch: 7 [40448/46200]	Loss: 1.2824	LR: 0.100000
Training Epoch: 7 [40704/46200]	Loss: 1.2844	LR: 0.100000
Training Epoch: 7 [40960/46200]	Loss: 1.1215	LR: 0.100000
Training Epoch: 7 [41216/46200]	Loss: 1.3992	LR: 0.100000
Training Epoch: 7 [41472/46200]	Loss: 1.1679	LR: 0.100000
Training Epoch: 7 [41728/46200]	Loss: 1.3674	LR: 0.100000
Training Epoch: 7 [41984/46200]	Loss: 1.3503	LR: 0.100000
Training Epoch: 7 [42240/46200]	Loss: 1.4641	LR: 0.100000
Training Epoch: 7 [42496/46200]	Loss: 1.2787	LR: 0.100000
Training Epoch: 7 [42752/46200]	Loss: 1.2544	LR: 0.100000
Training Epoch: 7 [43008/46200]	Loss: 1.3312	LR: 0.100000
Training Epoch: 7 [43264/46200]	Loss: 1.2670	LR: 0.100000
Training Epoch: 7 [43520/46200]	Loss: 1.5138	LR: 0.100000
Training Epoch: 7 [43776/46200]	Loss: 1.4241	LR: 0.100000
Training Epoch: 7 [44032/46200]	Loss: 1.1997	LR: 0.100000
Training Epoch: 7 [44288/46200]	Loss: 1.1584	LR: 0.100000
Training Epoch: 7 [44544/46200]	Loss: 1.3516	LR: 0.100000
Training Epoch: 7 [44800/46200]	Loss: 1.3886	LR: 0.100000
Training Epoch: 7 [45056/46200]	Loss: 1.3028	LR: 0.100000
Training Epoch: 7 [45312/46200]	Loss: 1.4968	LR: 0.100000
Training Epoch: 7 [45568/46200]	Loss: 1.4698	LR: 0.100000
Training Epoch: 7 [45824/46200]	Loss: 1.3778	LR: 0.100000
Training Epoch: 7 [46080/46200]	Loss: 1.4509	LR: 0.100000
Training Epoch: 7 [46200/46200]	Loss: 1.3644	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3596, Train Accuracy: 0.5661
Epoch 7 training time consumed: 25.24s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5394, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.2038	LR: 0.100000
Training Epoch: 8 [512/46200]	Loss: 1.2065	LR: 0.100000
Training Epoch: 8 [768/46200]	Loss: 1.3321	LR: 0.100000
Training Epoch: 8 [1024/46200]	Loss: 1.2142	LR: 0.100000
Training Epoch: 8 [1280/46200]	Loss: 1.3908	LR: 0.100000
Training Epoch: 8 [1536/46200]	Loss: 1.3824	LR: 0.100000
Training Epoch: 8 [1792/46200]	Loss: 1.1991	LR: 0.100000
Training Epoch: 8 [2048/46200]	Loss: 1.4779	LR: 0.100000
Training Epoch: 8 [2304/46200]	Loss: 1.3561	LR: 0.100000
Training Epoch: 8 [2560/46200]	Loss: 1.2437	LR: 0.100000
Training Epoch: 8 [2816/46200]	Loss: 1.3009	LR: 0.100000
Training Epoch: 8 [3072/46200]	Loss: 1.2338	LR: 0.100000
Training Epoch: 8 [3328/46200]	Loss: 1.2415	LR: 0.100000
Training Epoch: 8 [3584/46200]	Loss: 1.1796	LR: 0.100000
Training Epoch: 8 [3840/46200]	Loss: 1.3289	LR: 0.100000
Training Epoch: 8 [4096/46200]	Loss: 1.3377	LR: 0.100000
Training Epoch: 8 [4352/46200]	Loss: 1.3257	LR: 0.100000
Training Epoch: 8 [4608/46200]	Loss: 1.4250	LR: 0.100000
Training Epoch: 8 [4864/46200]	Loss: 1.3254	LR: 0.100000
Training Epoch: 8 [5120/46200]	Loss: 1.3593	LR: 0.100000
Training Epoch: 8 [5376/46200]	Loss: 1.3094	LR: 0.100000
Training Epoch: 8 [5632/46200]	Loss: 1.2966	LR: 0.100000
Training Epoch: 8 [5888/46200]	Loss: 1.1771	LR: 0.100000
Training Epoch: 8 [6144/46200]	Loss: 1.2583	LR: 0.100000
Training Epoch: 8 [6400/46200]	Loss: 1.3797	LR: 0.100000
Training Epoch: 8 [6656/46200]	Loss: 1.2695	LR: 0.100000
Training Epoch: 8 [6912/46200]	Loss: 1.2449	LR: 0.100000
Training Epoch: 8 [7168/46200]	Loss: 1.1558	LR: 0.100000
Training Epoch: 8 [7424/46200]	Loss: 1.2756	LR: 0.100000
Training Epoch: 8 [7680/46200]	Loss: 1.1934	LR: 0.100000
Training Epoch: 8 [7936/46200]	Loss: 1.2245	LR: 0.100000
Training Epoch: 8 [8192/46200]	Loss: 1.3020	LR: 0.100000
Training Epoch: 8 [8448/46200]	Loss: 1.2442	LR: 0.100000
Training Epoch: 8 [8704/46200]	Loss: 1.0944	LR: 0.100000
Training Epoch: 8 [8960/46200]	Loss: 1.2012	LR: 0.100000
Training Epoch: 8 [9216/46200]	Loss: 1.2633	LR: 0.100000
Training Epoch: 8 [9472/46200]	Loss: 1.3536	LR: 0.100000
Training Epoch: 8 [9728/46200]	Loss: 1.2753	LR: 0.100000
Training Epoch: 8 [9984/46200]	Loss: 1.2337	LR: 0.100000
Training Epoch: 8 [10240/46200]	Loss: 1.2751	LR: 0.100000
Training Epoch: 8 [10496/46200]	Loss: 1.1815	LR: 0.100000
Training Epoch: 8 [10752/46200]	Loss: 1.2790	LR: 0.100000
Training Epoch: 8 [11008/46200]	Loss: 1.3868	LR: 0.100000
Training Epoch: 8 [11264/46200]	Loss: 1.1804	LR: 0.100000
Training Epoch: 8 [11520/46200]	Loss: 1.2927	LR: 0.100000
Training Epoch: 8 [11776/46200]	Loss: 1.3296	LR: 0.100000
Training Epoch: 8 [12032/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 8 [12288/46200]	Loss: 1.3425	LR: 0.100000
Training Epoch: 8 [12544/46200]	Loss: 1.2934	LR: 0.100000
Training Epoch: 8 [12800/46200]	Loss: 1.2761	LR: 0.100000
Training Epoch: 8 [13056/46200]	Loss: 1.1683	LR: 0.100000
Training Epoch: 8 [13312/46200]	Loss: 1.2922	LR: 0.100000
Training Epoch: 8 [13568/46200]	Loss: 1.2930	LR: 0.100000
Training Epoch: 8 [13824/46200]	Loss: 1.2854	LR: 0.100000
Training Epoch: 8 [14080/46200]	Loss: 1.1418	LR: 0.100000
Training Epoch: 8 [14336/46200]	Loss: 1.2283	LR: 0.100000
Training Epoch: 8 [14592/46200]	Loss: 1.3117	LR: 0.100000
Training Epoch: 8 [14848/46200]	Loss: 1.2383	LR: 0.100000
Training Epoch: 8 [15104/46200]	Loss: 1.1736	LR: 0.100000
Training Epoch: 8 [15360/46200]	Loss: 1.2422	LR: 0.100000
Training Epoch: 8 [15616/46200]	Loss: 1.2787	LR: 0.100000
Training Epoch: 8 [15872/46200]	Loss: 1.3341	LR: 0.100000
Training Epoch: 8 [16128/46200]	Loss: 1.3575	LR: 0.100000
Training Epoch: 8 [16384/46200]	Loss: 1.3505	LR: 0.100000
Training Epoch: 8 [16640/46200]	Loss: 1.1896	LR: 0.100000
Training Epoch: 8 [16896/46200]	Loss: 1.2503	LR: 0.100000
Training Epoch: 8 [17152/46200]	Loss: 1.3477	LR: 0.100000
Training Epoch: 8 [17408/46200]	Loss: 1.2313	LR: 0.100000
Training Epoch: 8 [17664/46200]	Loss: 1.3196	LR: 0.100000
Training Epoch: 8 [17920/46200]	Loss: 1.3143	LR: 0.100000
Training Epoch: 8 [18176/46200]	Loss: 1.4334	LR: 0.100000
Training Epoch: 8 [18432/46200]	Loss: 1.3055	LR: 0.100000
Training Epoch: 8 [18688/46200]	Loss: 1.3163	LR: 0.100000
Training Epoch: 8 [18944/46200]	Loss: 1.2883	LR: 0.100000
Training Epoch: 8 [19200/46200]	Loss: 1.3360	LR: 0.100000
Training Epoch: 8 [19456/46200]	Loss: 1.3988	LR: 0.100000
Training Epoch: 8 [19712/46200]	Loss: 1.2502	LR: 0.100000
Training Epoch: 8 [19968/46200]	Loss: 1.2091	LR: 0.100000
Training Epoch: 8 [20224/46200]	Loss: 1.2968	LR: 0.100000
Training Epoch: 8 [20480/46200]	Loss: 1.2452	LR: 0.100000
Training Epoch: 8 [20736/46200]	Loss: 1.3953	LR: 0.100000
Training Epoch: 8 [20992/46200]	Loss: 1.3141	LR: 0.100000
Training Epoch: 8 [21248/46200]	Loss: 1.3825	LR: 0.100000
Training Epoch: 8 [21504/46200]	Loss: 1.2326	LR: 0.100000
Training Epoch: 8 [21760/46200]	Loss: 1.3232	LR: 0.100000
Training Epoch: 8 [22016/46200]	Loss: 1.2377	LR: 0.100000
Training Epoch: 8 [22272/46200]	Loss: 1.2666	LR: 0.100000
Training Epoch: 8 [22528/46200]	Loss: 1.1619	LR: 0.100000
Training Epoch: 8 [22784/46200]	Loss: 1.2230	LR: 0.100000
Training Epoch: 8 [23040/46200]	Loss: 1.2072	LR: 0.100000
Training Epoch: 8 [23296/46200]	Loss: 1.2094	LR: 0.100000
Training Epoch: 8 [23552/46200]	Loss: 1.3319	LR: 0.100000
Training Epoch: 8 [23808/46200]	Loss: 1.2128	LR: 0.100000
Training Epoch: 8 [24064/46200]	Loss: 1.1996	LR: 0.100000
Training Epoch: 8 [24320/46200]	Loss: 1.3009	LR: 0.100000
Training Epoch: 8 [24576/46200]	Loss: 1.3295	LR: 0.100000
Training Epoch: 8 [24832/46200]	Loss: 1.2481	LR: 0.100000
Training Epoch: 8 [25088/46200]	Loss: 1.1968	LR: 0.100000
Training Epoch: 8 [25344/46200]	Loss: 1.2135	LR: 0.100000
Training Epoch: 8 [25600/46200]	Loss: 1.2593	LR: 0.100000
Training Epoch: 8 [25856/46200]	Loss: 1.2393	LR: 0.100000
Training Epoch: 8 [26112/46200]	Loss: 1.2015	LR: 0.100000
Training Epoch: 8 [26368/46200]	Loss: 1.2274	LR: 0.100000
Training Epoch: 8 [26624/46200]	Loss: 1.3934	LR: 0.100000
Training Epoch: 8 [26880/46200]	Loss: 1.2053	LR: 0.100000
Training Epoch: 8 [27136/46200]	Loss: 1.3514	LR: 0.100000
Training Epoch: 8 [27392/46200]	Loss: 1.1874	LR: 0.100000
Training Epoch: 8 [27648/46200]	Loss: 1.2021	LR: 0.100000
Training Epoch: 8 [27904/46200]	Loss: 1.3067	LR: 0.100000
Training Epoch: 8 [28160/46200]	Loss: 1.2314	LR: 0.100000
Training Epoch: 8 [28416/46200]	Loss: 1.2246	LR: 0.100000
Training Epoch: 8 [28672/46200]	Loss: 1.1788	LR: 0.100000
Training Epoch: 8 [28928/46200]	Loss: 1.2172	LR: 0.100000
Training Epoch: 8 [29184/46200]	Loss: 1.1895	LR: 0.100000
Training Epoch: 8 [29440/46200]	Loss: 1.1951	LR: 0.100000
Training Epoch: 8 [29696/46200]	Loss: 1.2463	LR: 0.100000
Training Epoch: 8 [29952/46200]	Loss: 1.3466	LR: 0.100000
Training Epoch: 8 [30208/46200]	Loss: 1.1693	LR: 0.100000
Training Epoch: 8 [30464/46200]	Loss: 1.2376	LR: 0.100000
Training Epoch: 8 [30720/46200]	Loss: 1.2105	LR: 0.100000
Training Epoch: 8 [30976/46200]	Loss: 1.3363	LR: 0.100000
Training Epoch: 8 [31232/46200]	Loss: 1.1895	LR: 0.100000
Training Epoch: 8 [31488/46200]	Loss: 1.1939	LR: 0.100000
Training Epoch: 8 [31744/46200]	Loss: 1.1826	LR: 0.100000
Training Epoch: 8 [32000/46200]	Loss: 1.1895	LR: 0.100000
Training Epoch: 8 [32256/46200]	Loss: 1.2936	LR: 0.100000
Training Epoch: 8 [32512/46200]	Loss: 1.2338	LR: 0.100000
Training Epoch: 8 [32768/46200]	Loss: 1.1104	LR: 0.100000
Training Epoch: 8 [33024/46200]	Loss: 1.1503	LR: 0.100000
Training Epoch: 8 [33280/46200]	Loss: 1.4805	LR: 0.100000
Training Epoch: 8 [33536/46200]	Loss: 1.3269	LR: 0.100000
Training Epoch: 8 [33792/46200]	Loss: 1.2476	LR: 0.100000
Training Epoch: 8 [34048/46200]	Loss: 1.2393	LR: 0.100000
Training Epoch: 8 [34304/46200]	Loss: 1.4140	LR: 0.100000
Training Epoch: 8 [34560/46200]	Loss: 1.2205	LR: 0.100000
Training Epoch: 8 [34816/46200]	Loss: 1.2318	LR: 0.100000
Training Epoch: 8 [35072/46200]	Loss: 1.2751	LR: 0.100000
Training Epoch: 8 [35328/46200]	Loss: 1.3740	LR: 0.100000
Training Epoch: 8 [35584/46200]	Loss: 1.3194	LR: 0.100000
Training Epoch: 8 [35840/46200]	Loss: 1.3759	LR: 0.100000
Training Epoch: 8 [36096/46200]	Loss: 1.1828	LR: 0.100000
Training Epoch: 8 [36352/46200]	Loss: 1.2794	LR: 0.100000
Training Epoch: 8 [36608/46200]	Loss: 1.2641	LR: 0.100000
Training Epoch: 8 [36864/46200]	Loss: 1.1710	LR: 0.100000
Training Epoch: 8 [37120/46200]	Loss: 1.2815	LR: 0.100000
Training Epoch: 8 [37376/46200]	Loss: 1.3395	LR: 0.100000
Training Epoch: 8 [37632/46200]	Loss: 1.2208	LR: 0.100000
Training Epoch: 8 [37888/46200]	Loss: 1.3927	LR: 0.100000
Training Epoch: 8 [38144/46200]	Loss: 1.1924	LR: 0.100000
Training Epoch: 8 [38400/46200]	Loss: 1.2677	LR: 0.100000
Training Epoch: 8 [38656/46200]	Loss: 1.2217	LR: 0.100000
Training Epoch: 8 [38912/46200]	Loss: 1.1511	LR: 0.100000
Training Epoch: 8 [39168/46200]	Loss: 1.1883	LR: 0.100000
Training Epoch: 8 [39424/46200]	Loss: 1.3508	LR: 0.100000
Training Epoch: 8 [39680/46200]	Loss: 1.3147	LR: 0.100000
Training Epoch: 8 [39936/46200]	Loss: 1.2159	LR: 0.100000
Training Epoch: 8 [40192/46200]	Loss: 1.2324	LR: 0.100000
Training Epoch: 8 [40448/46200]	Loss: 1.2190	LR: 0.100000
Training Epoch: 8 [40704/46200]	Loss: 1.3923	LR: 0.100000
Training Epoch: 8 [40960/46200]	Loss: 1.2877	LR: 0.100000
Training Epoch: 8 [41216/46200]	Loss: 1.3009	LR: 0.100000
Training Epoch: 8 [41472/46200]	Loss: 1.3834	LR: 0.100000
Training Epoch: 8 [41728/46200]	Loss: 1.1344	LR: 0.100000
Training Epoch: 8 [41984/46200]	Loss: 1.1961	LR: 0.100000
Training Epoch: 8 [42240/46200]	Loss: 1.2711	LR: 0.100000
Training Epoch: 8 [42496/46200]	Loss: 1.2272	LR: 0.100000
Training Epoch: 8 [42752/46200]	Loss: 1.1770	LR: 0.100000
Training Epoch: 8 [43008/46200]	Loss: 1.2607	LR: 0.100000
Training Epoch: 8 [43264/46200]	Loss: 1.2619	LR: 0.100000
Training Epoch: 8 [43520/46200]	Loss: 1.2314	LR: 0.100000
Training Epoch: 8 [43776/46200]	Loss: 1.1168	LR: 0.100000
Training Epoch: 8 [44032/46200]	Loss: 1.1058	LR: 0.100000
Training Epoch: 8 [44288/46200]	Loss: 1.2430	LR: 0.100000
Training Epoch: 8 [44544/46200]	Loss: 1.2912	LR: 0.100000
Training Epoch: 8 [44800/46200]	Loss: 1.2890	LR: 0.100000
Training Epoch: 8 [45056/46200]	Loss: 1.2474	LR: 0.100000
Training Epoch: 8 [45312/46200]	Loss: 1.2809	LR: 0.100000
Training Epoch: 8 [45568/46200]	Loss: 1.2577	LR: 0.100000
Training Epoch: 8 [45824/46200]	Loss: 1.4039	LR: 0.100000
Training Epoch: 8 [46080/46200]	Loss: 1.1588	LR: 0.100000
Training Epoch: 8 [46200/46200]	Loss: 1.2397	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2647, Train Accuracy: 0.5976
Epoch 8 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0058, Accuracy: 0.5465, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.3252	LR: 0.100000
Training Epoch: 9 [512/46200]	Loss: 1.2177	LR: 0.100000
Training Epoch: 9 [768/46200]	Loss: 1.1713	LR: 0.100000
Training Epoch: 9 [1024/46200]	Loss: 1.0927	LR: 0.100000
Training Epoch: 9 [1280/46200]	Loss: 1.1787	LR: 0.100000
Training Epoch: 9 [1536/46200]	Loss: 1.2831	LR: 0.100000
Training Epoch: 9 [1792/46200]	Loss: 1.1927	LR: 0.100000
Training Epoch: 9 [2048/46200]	Loss: 1.2959	LR: 0.100000
Training Epoch: 9 [2304/46200]	Loss: 1.2899	LR: 0.100000
Training Epoch: 9 [2560/46200]	Loss: 1.3162	LR: 0.100000
Training Epoch: 9 [2816/46200]	Loss: 1.2055	LR: 0.100000
Training Epoch: 9 [3072/46200]	Loss: 1.1073	LR: 0.100000
Training Epoch: 9 [3328/46200]	Loss: 1.2843	LR: 0.100000
Training Epoch: 9 [3584/46200]	Loss: 1.2482	LR: 0.100000
Training Epoch: 9 [3840/46200]	Loss: 1.1528	LR: 0.100000
Training Epoch: 9 [4096/46200]	Loss: 1.1283	LR: 0.100000
Training Epoch: 9 [4352/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 9 [4608/46200]	Loss: 1.1745	LR: 0.100000
Training Epoch: 9 [4864/46200]	Loss: 1.2498	LR: 0.100000
Training Epoch: 9 [5120/46200]	Loss: 1.3384	LR: 0.100000
Training Epoch: 9 [5376/46200]	Loss: 1.1368	LR: 0.100000
Training Epoch: 9 [5632/46200]	Loss: 1.0892	LR: 0.100000
Training Epoch: 9 [5888/46200]	Loss: 1.1555	LR: 0.100000
Training Epoch: 9 [6144/46200]	Loss: 1.1218	LR: 0.100000
Training Epoch: 9 [6400/46200]	Loss: 1.1283	LR: 0.100000
Training Epoch: 9 [6656/46200]	Loss: 1.2783	LR: 0.100000
Training Epoch: 9 [6912/46200]	Loss: 1.1165	LR: 0.100000
Training Epoch: 9 [7168/46200]	Loss: 1.1168	LR: 0.100000
Training Epoch: 9 [7424/46200]	Loss: 1.1641	LR: 0.100000
Training Epoch: 9 [7680/46200]	Loss: 1.1951	LR: 0.100000
Training Epoch: 9 [7936/46200]	Loss: 1.1581	LR: 0.100000
Training Epoch: 9 [8192/46200]	Loss: 1.0457	LR: 0.100000
Training Epoch: 9 [8448/46200]	Loss: 1.2153	LR: 0.100000
Training Epoch: 9 [8704/46200]	Loss: 1.4681	LR: 0.100000
Training Epoch: 9 [8960/46200]	Loss: 1.1127	LR: 0.100000
Training Epoch: 9 [9216/46200]	Loss: 1.3898	LR: 0.100000
Training Epoch: 9 [9472/46200]	Loss: 1.3180	LR: 0.100000
Training Epoch: 9 [9728/46200]	Loss: 1.1390	LR: 0.100000
Training Epoch: 9 [9984/46200]	Loss: 1.1735	LR: 0.100000
Training Epoch: 9 [10240/46200]	Loss: 1.2576	LR: 0.100000
Training Epoch: 9 [10496/46200]	Loss: 1.2395	LR: 0.100000
Training Epoch: 9 [10752/46200]	Loss: 1.3309	LR: 0.100000
Training Epoch: 9 [11008/46200]	Loss: 1.2676	LR: 0.100000
Training Epoch: 9 [11264/46200]	Loss: 1.1826	LR: 0.100000
Training Epoch: 9 [11520/46200]	Loss: 1.3675	LR: 0.100000
Training Epoch: 9 [11776/46200]	Loss: 1.1804	LR: 0.100000
Training Epoch: 9 [12032/46200]	Loss: 1.2072	LR: 0.100000
Training Epoch: 9 [12288/46200]	Loss: 1.1099	LR: 0.100000
Training Epoch: 9 [12544/46200]	Loss: 1.1713	LR: 0.100000
Training Epoch: 9 [12800/46200]	Loss: 1.4931	LR: 0.100000
Training Epoch: 9 [13056/46200]	Loss: 1.0940	LR: 0.100000
Training Epoch: 9 [13312/46200]	Loss: 1.2408	LR: 0.100000
Training Epoch: 9 [13568/46200]	Loss: 1.1290	LR: 0.100000
Training Epoch: 9 [13824/46200]	Loss: 1.2372	LR: 0.100000
Training Epoch: 9 [14080/46200]	Loss: 1.0275	LR: 0.100000
Training Epoch: 9 [14336/46200]	Loss: 1.1896	LR: 0.100000
Training Epoch: 9 [14592/46200]	Loss: 1.1807	LR: 0.100000
Training Epoch: 9 [14848/46200]	Loss: 1.1845	LR: 0.100000
Training Epoch: 9 [15104/46200]	Loss: 1.1754	LR: 0.100000
Training Epoch: 9 [15360/46200]	Loss: 1.2214	LR: 0.100000
Training Epoch: 9 [15616/46200]	Loss: 1.2625	LR: 0.100000
Training Epoch: 9 [15872/46200]	Loss: 1.3144	LR: 0.100000
Training Epoch: 9 [16128/46200]	Loss: 1.1748	LR: 0.100000
Training Epoch: 9 [16384/46200]	Loss: 1.3219	LR: 0.100000
Training Epoch: 9 [16640/46200]	Loss: 1.1550	LR: 0.100000
Training Epoch: 9 [16896/46200]	Loss: 1.1741	LR: 0.100000
Training Epoch: 9 [17152/46200]	Loss: 1.1735	LR: 0.100000
Training Epoch: 9 [17408/46200]	Loss: 1.3517	LR: 0.100000
Training Epoch: 9 [17664/46200]	Loss: 1.1625	LR: 0.100000
Training Epoch: 9 [17920/46200]	Loss: 1.2371	LR: 0.100000
Training Epoch: 9 [18176/46200]	Loss: 1.3472	LR: 0.100000
Training Epoch: 9 [18432/46200]	Loss: 1.1401	LR: 0.100000
Training Epoch: 9 [18688/46200]	Loss: 1.2271	LR: 0.100000
Training Epoch: 9 [18944/46200]	Loss: 1.3329	LR: 0.100000
Training Epoch: 9 [19200/46200]	Loss: 1.2568	LR: 0.100000
Training Epoch: 9 [19456/46200]	Loss: 1.1544	LR: 0.100000
Training Epoch: 9 [19712/46200]	Loss: 1.1376	LR: 0.100000
Training Epoch: 9 [19968/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 9 [20224/46200]	Loss: 1.3126	LR: 0.100000
Training Epoch: 9 [20480/46200]	Loss: 1.2478	LR: 0.100000
Training Epoch: 9 [20736/46200]	Loss: 1.2269	LR: 0.100000
Training Epoch: 9 [20992/46200]	Loss: 1.1318	LR: 0.100000
Training Epoch: 9 [21248/46200]	Loss: 1.2241	LR: 0.100000
Training Epoch: 9 [21504/46200]	Loss: 1.0037	LR: 0.100000
Training Epoch: 9 [21760/46200]	Loss: 1.3736	LR: 0.100000
Training Epoch: 9 [22016/46200]	Loss: 1.1887	LR: 0.100000
Training Epoch: 9 [22272/46200]	Loss: 1.1407	LR: 0.100000
Training Epoch: 9 [22528/46200]	Loss: 1.1755	LR: 0.100000
Training Epoch: 9 [22784/46200]	Loss: 1.0579	LR: 0.100000
Training Epoch: 9 [23040/46200]	Loss: 1.1271	LR: 0.100000
Training Epoch: 9 [23296/46200]	Loss: 1.1646	LR: 0.100000
Training Epoch: 9 [23552/46200]	Loss: 1.2146	LR: 0.100000
Training Epoch: 9 [23808/46200]	Loss: 1.1578	LR: 0.100000
Training Epoch: 9 [24064/46200]	Loss: 1.1828	LR: 0.100000
Training Epoch: 9 [24320/46200]	Loss: 1.2152	LR: 0.100000
Training Epoch: 9 [24576/46200]	Loss: 1.0663	LR: 0.100000
Training Epoch: 9 [24832/46200]	Loss: 1.2075	LR: 0.100000
Training Epoch: 9 [25088/46200]	Loss: 1.2606	LR: 0.100000
Training Epoch: 9 [25344/46200]	Loss: 1.1505	LR: 0.100000
Training Epoch: 9 [25600/46200]	Loss: 1.1515	LR: 0.100000
Training Epoch: 9 [25856/46200]	Loss: 1.1523	LR: 0.100000
Training Epoch: 9 [26112/46200]	Loss: 1.1909	LR: 0.100000
Training Epoch: 9 [26368/46200]	Loss: 1.1138	LR: 0.100000
Training Epoch: 9 [26624/46200]	Loss: 1.1689	LR: 0.100000
Training Epoch: 9 [26880/46200]	Loss: 1.0009	LR: 0.100000
Training Epoch: 9 [27136/46200]	Loss: 1.1862	LR: 0.100000
Training Epoch: 9 [27392/46200]	Loss: 1.3799	LR: 0.100000
Training Epoch: 9 [27648/46200]	Loss: 1.3497	LR: 0.100000
Training Epoch: 9 [27904/46200]	Loss: 1.4045	LR: 0.100000
Training Epoch: 9 [28160/46200]	Loss: 1.2518	LR: 0.100000
Training Epoch: 9 [28416/46200]	Loss: 1.2971	LR: 0.100000
Training Epoch: 9 [28672/46200]	Loss: 1.2182	LR: 0.100000
Training Epoch: 9 [28928/46200]	Loss: 1.2010	LR: 0.100000
Training Epoch: 9 [29184/46200]	Loss: 1.2227	LR: 0.100000
Training Epoch: 9 [29440/46200]	Loss: 1.2063	LR: 0.100000
Training Epoch: 9 [29696/46200]	Loss: 1.2733	LR: 0.100000
Training Epoch: 9 [29952/46200]	Loss: 1.2241	LR: 0.100000
Training Epoch: 9 [30208/46200]	Loss: 1.2194	LR: 0.100000
Training Epoch: 9 [30464/46200]	Loss: 1.0768	LR: 0.100000
Training Epoch: 9 [30720/46200]	Loss: 1.2028	LR: 0.100000
Training Epoch: 9 [30976/46200]	Loss: 1.2193	LR: 0.100000
Training Epoch: 9 [31232/46200]	Loss: 1.0963	LR: 0.100000
Training Epoch: 9 [31488/46200]	Loss: 1.0694	LR: 0.100000
Training Epoch: 9 [31744/46200]	Loss: 1.1812	LR: 0.100000
Training Epoch: 9 [32000/46200]	Loss: 1.3369	LR: 0.100000
Training Epoch: 9 [32256/46200]	Loss: 1.2975	LR: 0.100000
Training Epoch: 9 [32512/46200]	Loss: 1.2076	LR: 0.100000
Training Epoch: 9 [32768/46200]	Loss: 1.2975	LR: 0.100000
Training Epoch: 9 [33024/46200]	Loss: 1.2798	LR: 0.100000
Training Epoch: 9 [33280/46200]	Loss: 1.2052	LR: 0.100000
Training Epoch: 9 [33536/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 9 [33792/46200]	Loss: 1.3037	LR: 0.100000
Training Epoch: 9 [34048/46200]	Loss: 1.2383	LR: 0.100000
Training Epoch: 9 [34304/46200]	Loss: 1.2566	LR: 0.100000
Training Epoch: 9 [34560/46200]	Loss: 1.1139	LR: 0.100000
Training Epoch: 9 [34816/46200]	Loss: 1.2447	LR: 0.100000
Training Epoch: 9 [35072/46200]	Loss: 1.2158	LR: 0.100000
Training Epoch: 9 [35328/46200]	Loss: 1.1956	LR: 0.100000
Training Epoch: 9 [35584/46200]	Loss: 1.1507	LR: 0.100000
Training Epoch: 9 [35840/46200]	Loss: 1.1847	LR: 0.100000
Training Epoch: 9 [36096/46200]	Loss: 1.1078	LR: 0.100000
Training Epoch: 9 [36352/46200]	Loss: 1.1315	LR: 0.100000
Training Epoch: 9 [36608/46200]	Loss: 1.1546	LR: 0.100000
Training Epoch: 9 [36864/46200]	Loss: 1.2661	LR: 0.100000
Training Epoch: 9 [37120/46200]	Loss: 1.1623	LR: 0.100000
Training Epoch: 9 [37376/46200]	Loss: 1.1690	LR: 0.100000
Training Epoch: 9 [37632/46200]	Loss: 1.2519	LR: 0.100000
Training Epoch: 9 [37888/46200]	Loss: 1.1108	LR: 0.100000
Training Epoch: 9 [38144/46200]	Loss: 1.1859	LR: 0.100000
Training Epoch: 9 [38400/46200]	Loss: 1.2375	LR: 0.100000
Training Epoch: 9 [38656/46200]	Loss: 1.1536	LR: 0.100000
Training Epoch: 9 [38912/46200]	Loss: 1.3057	LR: 0.100000
Training Epoch: 9 [39168/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 9 [39424/46200]	Loss: 1.2807	LR: 0.100000
Training Epoch: 9 [39680/46200]	Loss: 1.1532	LR: 0.100000
Training Epoch: 9 [39936/46200]	Loss: 1.4167	LR: 0.100000
Training Epoch: 9 [40192/46200]	Loss: 1.2088	LR: 0.100000
Training Epoch: 9 [40448/46200]	Loss: 1.1856	LR: 0.100000
Training Epoch: 9 [40704/46200]	Loss: 1.2095	LR: 0.100000
Training Epoch: 9 [40960/46200]	Loss: 1.1446	LR: 0.100000
Training Epoch: 9 [41216/46200]	Loss: 1.1696	LR: 0.100000
Training Epoch: 9 [41472/46200]	Loss: 1.0793	LR: 0.100000
Training Epoch: 9 [41728/46200]	Loss: 1.0818	LR: 0.100000
Training Epoch: 9 [41984/46200]	Loss: 1.1881	LR: 0.100000
Training Epoch: 9 [42240/46200]	Loss: 1.2443	LR: 0.100000
Training Epoch: 9 [42496/46200]	Loss: 1.1343	LR: 0.100000
Training Epoch: 9 [42752/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 9 [43008/46200]	Loss: 1.3290	LR: 0.100000
Training Epoch: 9 [43264/46200]	Loss: 1.2838	LR: 0.100000
Training Epoch: 9 [43520/46200]	Loss: 1.1965	LR: 0.100000
Training Epoch: 9 [43776/46200]	Loss: 1.2330	LR: 0.100000
Training Epoch: 9 [44032/46200]	Loss: 1.1282	LR: 0.100000
Training Epoch: 9 [44288/46200]	Loss: 1.1956	LR: 0.100000
Training Epoch: 9 [44544/46200]	Loss: 1.2788	LR: 0.100000
Training Epoch: 9 [44800/46200]	Loss: 1.2629	LR: 0.100000
Training Epoch: 9 [45056/46200]	Loss: 1.2268	LR: 0.100000
Training Epoch: 9 [45312/46200]	Loss: 1.2118	LR: 0.100000
Training Epoch: 9 [45568/46200]	Loss: 1.2330	LR: 0.100000
Training Epoch: 9 [45824/46200]	Loss: 1.2728	LR: 0.100000
Training Epoch: 9 [46080/46200]	Loss: 1.1693	LR: 0.100000
Training Epoch: 9 [46200/46200]	Loss: 1.2941	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2060, Train Accuracy: 0.6138
Epoch 9 training time consumed: 25.30s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0055, Accuracy: 0.5750, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1115	LR: 0.100000
Training Epoch: 10 [512/46200]	Loss: 1.1722	LR: 0.100000
Training Epoch: 10 [768/46200]	Loss: 1.0973	LR: 0.100000
Training Epoch: 10 [1024/46200]	Loss: 1.2094	LR: 0.100000
Training Epoch: 10 [1280/46200]	Loss: 1.1489	LR: 0.100000
Training Epoch: 10 [1536/46200]	Loss: 1.2503	LR: 0.100000
Training Epoch: 10 [1792/46200]	Loss: 1.0632	LR: 0.100000
Training Epoch: 10 [2048/46200]	Loss: 1.0506	LR: 0.100000
Training Epoch: 10 [2304/46200]	Loss: 1.1916	LR: 0.100000
Training Epoch: 10 [2560/46200]	Loss: 1.1736	LR: 0.100000
Training Epoch: 10 [2816/46200]	Loss: 1.0659	LR: 0.100000
Training Epoch: 10 [3072/46200]	Loss: 1.2141	LR: 0.100000
Training Epoch: 10 [3328/46200]	Loss: 1.0982	LR: 0.100000
Training Epoch: 10 [3584/46200]	Loss: 1.2456	LR: 0.100000
Training Epoch: 10 [3840/46200]	Loss: 1.2114	LR: 0.100000
Training Epoch: 10 [4096/46200]	Loss: 1.2657	LR: 0.100000
Training Epoch: 10 [4352/46200]	Loss: 1.1373	LR: 0.100000
Training Epoch: 10 [4608/46200]	Loss: 1.1454	LR: 0.100000
Training Epoch: 10 [4864/46200]	Loss: 1.2267	LR: 0.100000
Training Epoch: 10 [5120/46200]	Loss: 1.1443	LR: 0.100000
Training Epoch: 10 [5376/46200]	Loss: 1.2354	LR: 0.100000
Training Epoch: 10 [5632/46200]	Loss: 1.1405	LR: 0.100000
Training Epoch: 10 [5888/46200]	Loss: 1.2241	LR: 0.100000
Training Epoch: 10 [6144/46200]	Loss: 1.1844	LR: 0.100000
Training Epoch: 10 [6400/46200]	Loss: 1.1749	LR: 0.100000
Training Epoch: 10 [6656/46200]	Loss: 1.1865	LR: 0.100000
Training Epoch: 10 [6912/46200]	Loss: 1.1562	LR: 0.100000
Training Epoch: 10 [7168/46200]	Loss: 1.0609	LR: 0.100000
Training Epoch: 10 [7424/46200]	Loss: 1.1496	LR: 0.100000
Training Epoch: 10 [7680/46200]	Loss: 1.2299	LR: 0.100000
Training Epoch: 10 [7936/46200]	Loss: 1.0890	LR: 0.100000
Training Epoch: 10 [8192/46200]	Loss: 1.2229	LR: 0.100000
Training Epoch: 10 [8448/46200]	Loss: 1.0398	LR: 0.100000
Training Epoch: 10 [8704/46200]	Loss: 1.1435	LR: 0.100000
Training Epoch: 10 [8960/46200]	Loss: 1.0391	LR: 0.100000
Training Epoch: 10 [9216/46200]	Loss: 1.0862	LR: 0.100000
Training Epoch: 10 [9472/46200]	Loss: 1.0663	LR: 0.100000
Training Epoch: 10 [9728/46200]	Loss: 1.0325	LR: 0.100000
Training Epoch: 10 [9984/46200]	Loss: 1.1227	LR: 0.100000
Training Epoch: 10 [10240/46200]	Loss: 1.1111	LR: 0.100000
Training Epoch: 10 [10496/46200]	Loss: 1.0028	LR: 0.100000
Training Epoch: 10 [10752/46200]	Loss: 1.1592	LR: 0.100000
Training Epoch: 10 [11008/46200]	Loss: 0.9980	LR: 0.100000
Training Epoch: 10 [11264/46200]	Loss: 1.2500	LR: 0.100000
Training Epoch: 10 [11520/46200]	Loss: 1.1882	LR: 0.100000
Training Epoch: 10 [11776/46200]	Loss: 1.1394	LR: 0.100000
Training Epoch: 10 [12032/46200]	Loss: 1.2876	LR: 0.100000
Training Epoch: 10 [12288/46200]	Loss: 1.0586	LR: 0.100000
Training Epoch: 10 [12544/46200]	Loss: 1.0931	LR: 0.100000
Training Epoch: 10 [12800/46200]	Loss: 1.0400	LR: 0.100000
Training Epoch: 10 [13056/46200]	Loss: 1.2809	LR: 0.100000
Training Epoch: 10 [13312/46200]	Loss: 1.0567	LR: 0.100000
Training Epoch: 10 [13568/46200]	Loss: 1.1435	LR: 0.100000
Training Epoch: 10 [13824/46200]	Loss: 1.0869	LR: 0.100000
Training Epoch: 10 [14080/46200]	Loss: 1.1574	LR: 0.100000
Training Epoch: 10 [14336/46200]	Loss: 1.0613	LR: 0.100000
Training Epoch: 10 [14592/46200]	Loss: 1.0643	LR: 0.100000
Training Epoch: 10 [14848/46200]	Loss: 1.1697	LR: 0.100000
Training Epoch: 10 [15104/46200]	Loss: 1.2132	LR: 0.100000
Training Epoch: 10 [15360/46200]	Loss: 1.1956	LR: 0.100000
Training Epoch: 10 [15616/46200]	Loss: 1.1544	LR: 0.100000
Training Epoch: 10 [15872/46200]	Loss: 1.1985	LR: 0.100000
Training Epoch: 10 [16128/46200]	Loss: 1.2838	LR: 0.100000
Training Epoch: 10 [16384/46200]	Loss: 1.1767	LR: 0.100000
Training Epoch: 10 [16640/46200]	Loss: 1.2371	LR: 0.100000
Training Epoch: 10 [16896/46200]	Loss: 1.1847	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 1.1822	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.2608	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.2635	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.1135	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.2659	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.1779	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 1.1696	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.0495	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.2970	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1354	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.1857	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.3548	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.0560	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 1.1821	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 1.2365	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 1.2452	LR: 0.100000
Training Epoch: 10 [21248/46200]	Loss: 1.2272	LR: 0.100000
Training Epoch: 10 [21504/46200]	Loss: 1.1625	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.1109	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 1.1150	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.1742	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.1111	LR: 0.100000
Training Epoch: 10 [22784/46200]	Loss: 1.1986	LR: 0.100000
Training Epoch: 10 [23040/46200]	Loss: 1.0746	LR: 0.100000
Training Epoch: 10 [23296/46200]	Loss: 0.9631	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.1674	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 1.2155	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.2753	LR: 0.100000
Training Epoch: 10 [24320/46200]	Loss: 1.0128	LR: 0.100000
Training Epoch: 10 [24576/46200]	Loss: 1.0723	LR: 0.100000
Training Epoch: 10 [24832/46200]	Loss: 1.2164	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.1593	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 1.2926	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.1396	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.1991	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 1.1679	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 1.1492	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.3349	LR: 0.100000
Training Epoch: 10 [26880/46200]	Loss: 1.1311	LR: 0.100000
Training Epoch: 10 [27136/46200]	Loss: 1.1877	LR: 0.100000
Training Epoch: 10 [27392/46200]	Loss: 1.1446	LR: 0.100000
Training Epoch: 10 [27648/46200]	Loss: 1.0633	LR: 0.100000
Training Epoch: 10 [27904/46200]	Loss: 1.0371	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.1750	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.0344	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.1861	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.1314	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.1825	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.1636	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 1.2100	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.1822	LR: 0.100000
Training Epoch: 10 [30208/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 10 [30464/46200]	Loss: 1.1952	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.2151	LR: 0.100000
Training Epoch: 10 [30976/46200]	Loss: 1.0377	LR: 0.100000
Training Epoch: 10 [31232/46200]	Loss: 1.0603	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 1.0492	LR: 0.100000
Training Epoch: 10 [31744/46200]	Loss: 1.0440	LR: 0.100000
Training Epoch: 10 [32000/46200]	Loss: 1.1334	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 1.2132	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 1.1399	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 1.0985	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 1.1457	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.2321	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 1.2330	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 1.1978	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.0198	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.2503	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 1.1647	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 1.2542	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.1032	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 1.2533	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.0777	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.1612	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.0399	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.3187	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.0816	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 1.1380	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.0959	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.1591	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.1432	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.1607	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.1597	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.0797	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.0533	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 1.2674	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1343	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.2516	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.1476	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.0550	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.1912	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.1615	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.2327	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.2551	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.1352	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.0950	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.2488	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.2468	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.0338	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.0710	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.3592	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.0760	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.1954	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.0774	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.1138	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.1046	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.1770	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.1214	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.2958	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.1460	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.2047	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.1647	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.1450	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1538	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.2155	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1556, Train Accuracy: 0.6308
Epoch 10 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0056, Accuracy: 0.5823, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-10-best.pth
Training Epoch: 11 [256/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.1418	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 1.1152	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.2642	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 1.0772	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.1301	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.1231	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 0.9622	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.1185	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.1912	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.1478	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 0.9808	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 0.9891	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 1.0667	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 0.9534	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 0.9849	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 1.0874	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 1.1909	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 1.1384	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 0.9915	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.0467	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.0500	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.0330	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 1.1363	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.2001	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 1.0668	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.2479	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 1.2001	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.1334	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.0910	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 1.0958	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.1158	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.0966	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 1.0901	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.1413	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.1403	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.1595	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 1.0886	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.1666	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.1750	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 1.0786	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 0.9668	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.0847	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 1.0919	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 1.2455	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 0.9429	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.1555	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 1.0606	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.2320	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 1.0822	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.1135	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.1566	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.0755	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.2631	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.1011	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 0.9445	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.3133	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 1.1209	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.0945	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.0584	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.1928	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 1.0955	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.1106	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0374	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.2117	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.2048	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.1766	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 1.0910	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.1045	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.1561	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.1047	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.2092	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.0272	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.1047	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 1.0700	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 1.1483	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.0850	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.0529	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.1010	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 1.0224	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 1.1308	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 1.1628	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 1.0308	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 1.0777	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 1.1615	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 1.2198	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.0143	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 1.0792	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 1.1874	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.1330	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.1681	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.2029	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 1.0475	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 1.2812	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.0846	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 1.3361	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.1356	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 1.0548	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 1.2017	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 1.2529	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 1.0901	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 1.0975	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 1.0658	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.0384	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.1232	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.1350	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.0555	LR: 0.100000
Training Epoch: 11 [28160/46200]	Loss: 1.0047	LR: 0.100000
Training Epoch: 11 [28416/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 11 [28672/46200]	Loss: 1.0563	LR: 0.100000
Training Epoch: 11 [28928/46200]	Loss: 1.0439	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 1.0750	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.2886	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 0.9842	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 0.9785	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 1.0631	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.1316	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 1.0715	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 1.2010	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 1.1636	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 1.0858	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 1.0700	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.1636	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.1423	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.0354	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.1423	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 1.0452	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 0.9892	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 0.9933	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 1.0200	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 1.0155	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.9574	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.0740	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 1.0738	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 1.0598	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.2362	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.0242	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 0.9664	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.0673	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.0791	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.1711	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.1802	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0922	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.0175	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.2072	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.2247	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.1919	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 1.0570	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0156	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 1.1054	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 1.1558	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.0172	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 1.0850	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.1865	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 1.0536	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.1328	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 1.1287	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 1.0505	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 1.2282	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.0458	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 1.0919	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 1.0331	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.1139	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0444	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 1.1552	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 1.0858	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 1.2487	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.0516	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 1.1131	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 1.0340	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.0924	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 1.2428	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 1.1087	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.0497	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 1.2134	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1041, Train Accuracy: 0.6452
Epoch 11 training time consumed: 25.04s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0060, Accuracy: 0.5643, Time consumed:0.86s
Training Epoch: 12 [256/46200]	Loss: 1.0130	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 1.0861	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 1.2121	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 1.0753	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 1.0637	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 1.1190	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 1.0841	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 1.0610	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 1.0223	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 1.1502	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 1.1627	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 1.0394	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 1.0028	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 1.0717	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 1.0090	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 1.0562	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 1.0431	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 1.0568	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 1.0603	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 1.1577	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 1.0553	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 1.0207	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 1.0984	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 0.9893	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 0.9913	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 1.0365	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 0.9869	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 1.0559	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 1.1245	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 1.1247	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 1.0556	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 0.9955	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 1.1791	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 1.0766	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 1.0888	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 1.0116	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 1.0473	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 0.9512	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 1.1086	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 1.0861	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 1.0391	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 1.0736	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 1.0645	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 1.2152	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 0.9510	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 1.0394	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 1.1869	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 0.9964	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 1.0599	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.1727	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 1.2033	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 1.0405	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.1475	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 1.0890	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 1.1063	LR: 0.100000
Training Epoch: 12 [14848/46200]	Loss: 1.0361	LR: 0.100000
Training Epoch: 12 [15104/46200]	Loss: 1.0765	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 1.0405	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 1.1479	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 0.9809	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 1.0171	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 0.9726	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 1.2899	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 1.0134	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.0461	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 1.1697	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 1.1807	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 1.0676	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 1.0457	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 0.9768	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 1.0647	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 1.1335	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 0.9367	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 0.9961	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 1.1128	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 1.1250	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 1.0428	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 1.0603	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 1.1442	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 1.1839	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 0.9470	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 1.0728	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 1.0115	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 0.9703	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 0.9772	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 1.1160	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 1.0312	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 1.0406	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 1.1533	LR: 0.100000
Training Epoch: 12 [23552/46200]	Loss: 0.9365	LR: 0.100000
Training Epoch: 12 [23808/46200]	Loss: 1.0222	LR: 0.100000
Training Epoch: 12 [24064/46200]	Loss: 1.1330	LR: 0.100000
Training Epoch: 12 [24320/46200]	Loss: 1.0763	LR: 0.100000
Training Epoch: 12 [24576/46200]	Loss: 1.0006	LR: 0.100000
Training Epoch: 12 [24832/46200]	Loss: 1.2404	LR: 0.100000
Training Epoch: 12 [25088/46200]	Loss: 1.1386	LR: 0.100000
Training Epoch: 12 [25344/46200]	Loss: 1.0554	LR: 0.100000
Training Epoch: 12 [25600/46200]	Loss: 1.0869	LR: 0.100000
Training Epoch: 12 [25856/46200]	Loss: 1.0436	LR: 0.100000
Training Epoch: 12 [26112/46200]	Loss: 1.1286	LR: 0.100000
Training Epoch: 12 [26368/46200]	Loss: 1.1498	LR: 0.100000
Training Epoch: 12 [26624/46200]	Loss: 0.9796	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9753	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 1.0801	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 1.1082	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 1.0997	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 1.0964	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 1.0577	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 1.1839	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 1.0112	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.0873	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 0.9768	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 1.0997	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 1.1465	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 1.1133	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 1.2248	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.0172	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 1.0510	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 1.0637	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 1.0721	LR: 0.100000
Training Epoch: 12 [31744/46200]	Loss: 1.1812	LR: 0.100000
Training Epoch: 12 [32000/46200]	Loss: 1.0559	LR: 0.100000
Training Epoch: 12 [32256/46200]	Loss: 1.1370	LR: 0.100000
Training Epoch: 12 [32512/46200]	Loss: 1.0167	LR: 0.100000
Training Epoch: 12 [32768/46200]	Loss: 1.0956	LR: 0.100000
Training Epoch: 12 [33024/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 12 [33280/46200]	Loss: 0.9753	LR: 0.100000
Training Epoch: 12 [33536/46200]	Loss: 1.0767	LR: 0.100000
Training Epoch: 12 [33792/46200]	Loss: 1.0676	LR: 0.100000
Training Epoch: 12 [34048/46200]	Loss: 1.0704	LR: 0.100000
Training Epoch: 12 [34304/46200]	Loss: 0.9949	LR: 0.100000
Training Epoch: 12 [34560/46200]	Loss: 0.9766	LR: 0.100000
Training Epoch: 12 [34816/46200]	Loss: 0.9444	LR: 0.100000
Training Epoch: 12 [35072/46200]	Loss: 1.1621	LR: 0.100000
Training Epoch: 12 [35328/46200]	Loss: 1.1436	LR: 0.100000
Training Epoch: 12 [35584/46200]	Loss: 0.8824	LR: 0.100000
Training Epoch: 12 [35840/46200]	Loss: 1.0125	LR: 0.100000
Training Epoch: 12 [36096/46200]	Loss: 1.0688	LR: 0.100000
Training Epoch: 12 [36352/46200]	Loss: 0.9703	LR: 0.100000
Training Epoch: 12 [36608/46200]	Loss: 1.1886	LR: 0.100000
Training Epoch: 12 [36864/46200]	Loss: 1.0085	LR: 0.100000
Training Epoch: 12 [37120/46200]	Loss: 1.0126	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 0.9951	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 1.0614	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 0.9676	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 1.0819	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 0.9547	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 1.1963	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 0.9225	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 1.1336	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 1.1328	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 1.0251	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 1.0224	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 1.0136	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 1.1020	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 1.1371	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 1.0131	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 1.1189	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 1.1191	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 0.9931	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 1.0482	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 1.0837	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 1.0290	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 0.9504	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 1.1117	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 1.0578	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 1.0162	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 1.1519	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 1.0529	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 1.0772	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 1.1124	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.1034	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 1.2021	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 1.1454	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 1.0469	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.9847	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0681, Train Accuracy: 0.6571
Epoch 12 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0065, Accuracy: 0.5356, Time consumed:0.97s
Training Epoch: 13 [256/46200]	Loss: 1.0494	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 1.0025	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 0.9708	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 1.0764	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 0.9998	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 1.0240	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 1.2238	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 0.9780	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 1.0840	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.9603	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 0.9687	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 0.9925	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.9277	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.9296	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 1.0492	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 0.9939	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 1.0145	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 1.1384	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 1.1425	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 1.1134	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 0.8912	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.8513	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 1.0455	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 1.1059	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 0.9197	LR: 0.100000
Training Epoch: 13 [6912/46200]	Loss: 0.9176	LR: 0.100000
Training Epoch: 13 [7168/46200]	Loss: 0.9462	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 1.1491	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 1.0281	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.9418	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 0.9031	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 1.0087	LR: 0.100000
Training Epoch: 13 [8960/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 13 [9216/46200]	Loss: 1.0424	LR: 0.100000
Training Epoch: 13 [9472/46200]	Loss: 1.0142	LR: 0.100000
Training Epoch: 13 [9728/46200]	Loss: 0.9748	LR: 0.100000
Training Epoch: 13 [9984/46200]	Loss: 1.1591	LR: 0.100000
Training Epoch: 13 [10240/46200]	Loss: 0.8166	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.9643	LR: 0.100000
Training Epoch: 13 [10752/46200]	Loss: 0.9324	LR: 0.100000
Training Epoch: 13 [11008/46200]	Loss: 1.0797	LR: 0.100000
Training Epoch: 13 [11264/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 13 [11520/46200]	Loss: 1.0777	LR: 0.100000
Training Epoch: 13 [11776/46200]	Loss: 1.0465	LR: 0.100000
Training Epoch: 13 [12032/46200]	Loss: 1.0656	LR: 0.100000
Training Epoch: 13 [12288/46200]	Loss: 1.1202	LR: 0.100000
Training Epoch: 13 [12544/46200]	Loss: 1.0292	LR: 0.100000
Training Epoch: 13 [12800/46200]	Loss: 1.1466	LR: 0.100000
Training Epoch: 13 [13056/46200]	Loss: 1.1284	LR: 0.100000
Training Epoch: 13 [13312/46200]	Loss: 1.0350	LR: 0.100000
Training Epoch: 13 [13568/46200]	Loss: 0.9399	LR: 0.100000
Training Epoch: 13 [13824/46200]	Loss: 0.9277	LR: 0.100000
Training Epoch: 13 [14080/46200]	Loss: 1.1203	LR: 0.100000
Training Epoch: 13 [14336/46200]	Loss: 1.1375	LR: 0.100000
Training Epoch: 13 [14592/46200]	Loss: 1.0771	LR: 0.100000
Training Epoch: 13 [14848/46200]	Loss: 1.0646	LR: 0.100000
Training Epoch: 13 [15104/46200]	Loss: 1.1002	LR: 0.100000
Training Epoch: 13 [15360/46200]	Loss: 0.9926	LR: 0.100000
Training Epoch: 13 [15616/46200]	Loss: 1.1397	LR: 0.100000
Training Epoch: 13 [15872/46200]	Loss: 1.0551	LR: 0.100000
Training Epoch: 13 [16128/46200]	Loss: 0.9574	LR: 0.100000
Training Epoch: 13 [16384/46200]	Loss: 1.1988	LR: 0.100000
Training Epoch: 13 [16640/46200]	Loss: 0.8388	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 1.1076	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 1.0958	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 1.1082	LR: 0.100000
Training Epoch: 13 [17664/46200]	Loss: 0.9708	LR: 0.100000
Training Epoch: 13 [17920/46200]	Loss: 1.1013	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 1.0312	LR: 0.100000
Training Epoch: 13 [18432/46200]	Loss: 0.9289	LR: 0.100000
Training Epoch: 13 [18688/46200]	Loss: 0.9193	LR: 0.100000
Training Epoch: 13 [18944/46200]	Loss: 1.1177	LR: 0.100000
Training Epoch: 13 [19200/46200]	Loss: 1.1451	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 1.1677	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 0.9614	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 1.0086	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 1.1334	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 0.9538	LR: 0.100000
Training Epoch: 13 [20736/46200]	Loss: 1.1178	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 1.1151	LR: 0.100000
Training Epoch: 13 [21248/46200]	Loss: 1.1465	LR: 0.100000
Training Epoch: 13 [21504/46200]	Loss: 1.0337	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 1.1234	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.9698	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 0.9312	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 1.0177	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 1.0459	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 1.1574	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 1.0776	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 1.1061	LR: 0.100000
Training Epoch: 13 [23808/46200]	Loss: 1.1002	LR: 0.100000
Training Epoch: 13 [24064/46200]	Loss: 1.0941	LR: 0.100000
Training Epoch: 13 [24320/46200]	Loss: 1.1193	LR: 0.100000
Training Epoch: 13 [24576/46200]	Loss: 1.0766	LR: 0.100000
Training Epoch: 13 [24832/46200]	Loss: 0.9831	LR: 0.100000
Training Epoch: 13 [25088/46200]	Loss: 1.0776	LR: 0.100000
Training Epoch: 13 [25344/46200]	Loss: 1.0007	LR: 0.100000
Training Epoch: 13 [25600/46200]	Loss: 1.1258	LR: 0.100000
Training Epoch: 13 [25856/46200]	Loss: 1.0029	LR: 0.100000
Training Epoch: 13 [26112/46200]	Loss: 1.0344	LR: 0.100000
Training Epoch: 13 [26368/46200]	Loss: 1.1340	LR: 0.100000
Training Epoch: 13 [26624/46200]	Loss: 1.0193	LR: 0.100000
Training Epoch: 13 [26880/46200]	Loss: 1.0601	LR: 0.100000
Training Epoch: 13 [27136/46200]	Loss: 0.9366	LR: 0.100000
Training Epoch: 13 [27392/46200]	Loss: 1.0828	LR: 0.100000
Training Epoch: 13 [27648/46200]	Loss: 1.0218	LR: 0.100000
Training Epoch: 13 [27904/46200]	Loss: 1.1534	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 1.1448	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 1.1472	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 1.0183	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 0.9582	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 0.9483	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.0092	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.0817	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 1.0200	LR: 0.100000
Training Epoch: 13 [30208/46200]	Loss: 0.9273	LR: 0.100000
Training Epoch: 13 [30464/46200]	Loss: 1.0607	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 1.0698	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 1.0488	LR: 0.100000
Training Epoch: 13 [31232/46200]	Loss: 1.0794	LR: 0.100000
Training Epoch: 13 [31488/46200]	Loss: 0.9263	LR: 0.100000
Training Epoch: 13 [31744/46200]	Loss: 1.0741	LR: 0.100000
Training Epoch: 13 [32000/46200]	Loss: 1.0324	LR: 0.100000
Training Epoch: 13 [32256/46200]	Loss: 1.1579	LR: 0.100000
Training Epoch: 13 [32512/46200]	Loss: 1.0054	LR: 0.100000
Training Epoch: 13 [32768/46200]	Loss: 1.1633	LR: 0.100000
Training Epoch: 13 [33024/46200]	Loss: 1.0849	LR: 0.100000
Training Epoch: 13 [33280/46200]	Loss: 0.9600	LR: 0.100000
Training Epoch: 13 [33536/46200]	Loss: 1.0610	LR: 0.100000
Training Epoch: 13 [33792/46200]	Loss: 1.0625	LR: 0.100000
Training Epoch: 13 [34048/46200]	Loss: 0.9800	LR: 0.100000
Training Epoch: 13 [34304/46200]	Loss: 1.0364	LR: 0.100000
Training Epoch: 13 [34560/46200]	Loss: 1.0185	LR: 0.100000
Training Epoch: 13 [34816/46200]	Loss: 1.0265	LR: 0.100000
Training Epoch: 13 [35072/46200]	Loss: 1.0112	LR: 0.100000
Training Epoch: 13 [35328/46200]	Loss: 0.9667	LR: 0.100000
Training Epoch: 13 [35584/46200]	Loss: 0.9271	LR: 0.100000
Training Epoch: 13 [35840/46200]	Loss: 1.0352	LR: 0.100000
Training Epoch: 13 [36096/46200]	Loss: 0.9838	LR: 0.100000
Training Epoch: 13 [36352/46200]	Loss: 1.0443	LR: 0.100000
Training Epoch: 13 [36608/46200]	Loss: 0.9451	LR: 0.100000
Training Epoch: 13 [36864/46200]	Loss: 0.9559	LR: 0.100000
Training Epoch: 13 [37120/46200]	Loss: 1.0260	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 0.9973	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 1.0034	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 1.1015	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 0.9737	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 1.0133	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 0.9643	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 0.9728	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 1.0697	LR: 0.100000
Training Epoch: 13 [39424/46200]	Loss: 1.0802	LR: 0.100000
Training Epoch: 13 [39680/46200]	Loss: 1.0597	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 1.0814	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 1.0742	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 1.0635	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 1.1587	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 0.9230	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 0.9620	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 1.0539	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 1.1478	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 0.9265	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 1.0304	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 1.1321	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 1.0029	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 1.0494	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 0.9864	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 0.9343	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 1.0054	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 0.9591	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 1.0349	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 0.9345	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 1.1019	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 1.1184	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 1.0007	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.9409	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 0.9792	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0339, Train Accuracy: 0.6657
Epoch 13 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0061, Accuracy: 0.5623, Time consumed:0.90s
Training Epoch: 14 [256/46200]	Loss: 0.9052	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 0.9978	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.9036	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.9750	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9581	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.9992	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 0.9921	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 1.0162	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 1.0438	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 0.9826	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 1.0032	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 0.9360	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 1.1183	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 1.1593	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.9284	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 1.2337	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 1.0041	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 1.0152	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 0.9615	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.8828	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.8600	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 1.0596	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.9889	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.9209	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 1.0123	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 0.9008	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.9162	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 0.9001	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.9493	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 1.1984	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 1.0786	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.9180	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 1.0779	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.8664	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.9885	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 1.0565	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 1.0314	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 1.0133	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9708	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 1.1079	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 0.9009	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 0.9936	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 1.0109	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 0.9198	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 1.0597	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 1.1222	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9653	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.9548	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 1.0126	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.9143	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 0.9322	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 0.9488	LR: 0.100000
Training Epoch: 14 [14080/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 14 [14336/46200]	Loss: 1.0815	LR: 0.100000
Training Epoch: 14 [14592/46200]	Loss: 0.8201	LR: 0.100000
Training Epoch: 14 [14848/46200]	Loss: 0.9167	LR: 0.100000
Training Epoch: 14 [15104/46200]	Loss: 1.0128	LR: 0.100000
Training Epoch: 14 [15360/46200]	Loss: 1.0340	LR: 0.100000
Training Epoch: 14 [15616/46200]	Loss: 1.0177	LR: 0.100000
Training Epoch: 14 [15872/46200]	Loss: 0.9952	LR: 0.100000
Training Epoch: 14 [16128/46200]	Loss: 0.9345	LR: 0.100000
Training Epoch: 14 [16384/46200]	Loss: 1.0482	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 1.0425	LR: 0.100000
Training Epoch: 14 [16896/46200]	Loss: 1.0869	LR: 0.100000
Training Epoch: 14 [17152/46200]	Loss: 1.1024	LR: 0.100000
Training Epoch: 14 [17408/46200]	Loss: 1.1215	LR: 0.100000
Training Epoch: 14 [17664/46200]	Loss: 1.0810	LR: 0.100000
Training Epoch: 14 [17920/46200]	Loss: 1.0991	LR: 0.100000
Training Epoch: 14 [18176/46200]	Loss: 0.9648	LR: 0.100000
Training Epoch: 14 [18432/46200]	Loss: 0.9205	LR: 0.100000
Training Epoch: 14 [18688/46200]	Loss: 1.1618	LR: 0.100000
Training Epoch: 14 [18944/46200]	Loss: 1.0003	LR: 0.100000
Training Epoch: 14 [19200/46200]	Loss: 0.9828	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 1.0469	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 1.0038	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 1.0583	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 1.0032	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 1.0823	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 0.9617	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 0.9982	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 0.9492	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0716	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 1.0524	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 1.0765	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.9761	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 0.9617	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 1.0072	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 1.0873	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.9067	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 14 [24064/46200]	Loss: 1.0123	LR: 0.100000
Training Epoch: 14 [24320/46200]	Loss: 1.0785	LR: 0.100000
Training Epoch: 14 [24576/46200]	Loss: 1.0012	LR: 0.100000
Training Epoch: 14 [24832/46200]	Loss: 0.9556	LR: 0.100000
Training Epoch: 14 [25088/46200]	Loss: 1.0965	LR: 0.100000
Training Epoch: 14 [25344/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 14 [25600/46200]	Loss: 1.0006	LR: 0.100000
Training Epoch: 14 [25856/46200]	Loss: 1.0219	LR: 0.100000
Training Epoch: 14 [26112/46200]	Loss: 0.9625	LR: 0.100000
Training Epoch: 14 [26368/46200]	Loss: 1.1263	LR: 0.100000
Training Epoch: 14 [26624/46200]	Loss: 0.9848	LR: 0.100000
Training Epoch: 14 [26880/46200]	Loss: 1.1203	LR: 0.100000
Training Epoch: 14 [27136/46200]	Loss: 1.0041	LR: 0.100000
Training Epoch: 14 [27392/46200]	Loss: 0.8827	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 1.0947	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 1.0709	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 1.1162	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 1.0392	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 0.9269	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.9764	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 1.0027	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 1.1671	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 1.0236	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 0.8812	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 0.9796	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 0.9275	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 0.9906	LR: 0.100000
Training Epoch: 14 [31488/46200]	Loss: 0.9536	LR: 0.100000
Training Epoch: 14 [31744/46200]	Loss: 0.9998	LR: 0.100000
Training Epoch: 14 [32000/46200]	Loss: 1.0464	LR: 0.100000
Training Epoch: 14 [32256/46200]	Loss: 1.0510	LR: 0.100000
Training Epoch: 14 [32512/46200]	Loss: 1.0525	LR: 0.100000
Training Epoch: 14 [32768/46200]	Loss: 0.9613	LR: 0.100000
Training Epoch: 14 [33024/46200]	Loss: 1.0908	LR: 0.100000
Training Epoch: 14 [33280/46200]	Loss: 0.8824	LR: 0.100000
Training Epoch: 14 [33536/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 14 [33792/46200]	Loss: 1.0642	LR: 0.100000
Training Epoch: 14 [34048/46200]	Loss: 1.1068	LR: 0.100000
Training Epoch: 14 [34304/46200]	Loss: 1.0311	LR: 0.100000
Training Epoch: 14 [34560/46200]	Loss: 0.9989	LR: 0.100000
Training Epoch: 14 [34816/46200]	Loss: 0.9498	LR: 0.100000
Training Epoch: 14 [35072/46200]	Loss: 1.0243	LR: 0.100000
Training Epoch: 14 [35328/46200]	Loss: 1.0178	LR: 0.100000
Training Epoch: 14 [35584/46200]	Loss: 0.9349	LR: 0.100000
Training Epoch: 14 [35840/46200]	Loss: 1.0459	LR: 0.100000
Training Epoch: 14 [36096/46200]	Loss: 0.9884	LR: 0.100000
Training Epoch: 14 [36352/46200]	Loss: 0.9823	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 0.9686	LR: 0.100000
Training Epoch: 14 [36864/46200]	Loss: 1.0706	LR: 0.100000
Training Epoch: 14 [37120/46200]	Loss: 0.9429	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 1.0085	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 0.9653	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 0.8965	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 1.0054	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 0.8741	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 1.0796	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.9602	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 0.9314	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 1.1354	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 1.0639	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 1.0999	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 1.1453	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 0.9950	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 1.1365	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 1.0759	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 0.9583	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 1.0783	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.9114	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 1.1196	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.8773	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 0.9526	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 0.9656	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 1.0244	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 1.0027	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 1.0111	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.9364	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 0.9090	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 0.9816	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 1.1009	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.9466	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 0.9292	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 0.9576	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 1.1040	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 1.0542	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.9207	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0068, Train Accuracy: 0.6779
Epoch 14 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0052, Accuracy: 0.6176, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.8941	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.9327	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.8173	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 1.0062	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.8919	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.9287	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.8259	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.9586	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.9571	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.9227	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 0.8200	LR: 0.020000
Training Epoch: 15 [3072/46200]	Loss: 0.8659	LR: 0.020000
Training Epoch: 15 [3328/46200]	Loss: 0.9945	LR: 0.020000
Training Epoch: 15 [3584/46200]	Loss: 0.9065	LR: 0.020000
Training Epoch: 15 [3840/46200]	Loss: 0.7531	LR: 0.020000
Training Epoch: 15 [4096/46200]	Loss: 0.8074	LR: 0.020000
Training Epoch: 15 [4352/46200]	Loss: 0.9337	LR: 0.020000
Training Epoch: 15 [4608/46200]	Loss: 0.8291	LR: 0.020000
Training Epoch: 15 [4864/46200]	Loss: 0.7805	LR: 0.020000
Training Epoch: 15 [5120/46200]	Loss: 0.8778	LR: 0.020000
Training Epoch: 15 [5376/46200]	Loss: 0.8510	LR: 0.020000
Training Epoch: 15 [5632/46200]	Loss: 0.8220	LR: 0.020000
Training Epoch: 15 [5888/46200]	Loss: 0.8273	LR: 0.020000
Training Epoch: 15 [6144/46200]	Loss: 0.8200	LR: 0.020000
Training Epoch: 15 [6400/46200]	Loss: 0.9317	LR: 0.020000
Training Epoch: 15 [6656/46200]	Loss: 0.8470	LR: 0.020000
Training Epoch: 15 [6912/46200]	Loss: 0.9673	LR: 0.020000
Training Epoch: 15 [7168/46200]	Loss: 0.6971	LR: 0.020000
Training Epoch: 15 [7424/46200]	Loss: 0.7970	LR: 0.020000
Training Epoch: 15 [7680/46200]	Loss: 0.8315	LR: 0.020000
Training Epoch: 15 [7936/46200]	Loss: 0.7577	LR: 0.020000
Training Epoch: 15 [8192/46200]	Loss: 0.7615	LR: 0.020000
Training Epoch: 15 [8448/46200]	Loss: 0.7762	LR: 0.020000
Training Epoch: 15 [8704/46200]	Loss: 0.8679	LR: 0.020000
Training Epoch: 15 [8960/46200]	Loss: 0.7055	LR: 0.020000
Training Epoch: 15 [9216/46200]	Loss: 0.8545	LR: 0.020000
Training Epoch: 15 [9472/46200]	Loss: 0.8027	LR: 0.020000
Training Epoch: 15 [9728/46200]	Loss: 0.7781	LR: 0.020000
Training Epoch: 15 [9984/46200]	Loss: 0.8339	LR: 0.020000
Training Epoch: 15 [10240/46200]	Loss: 0.8438	LR: 0.020000
Training Epoch: 15 [10496/46200]	Loss: 0.7648	LR: 0.020000
Training Epoch: 15 [10752/46200]	Loss: 0.7881	LR: 0.020000
Training Epoch: 15 [11008/46200]	Loss: 0.7919	LR: 0.020000
Training Epoch: 15 [11264/46200]	Loss: 0.8950	LR: 0.020000
Training Epoch: 15 [11520/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 15 [11776/46200]	Loss: 0.7422	LR: 0.020000
Training Epoch: 15 [12032/46200]	Loss: 0.7257	LR: 0.020000
Training Epoch: 15 [12288/46200]	Loss: 0.7326	LR: 0.020000
Training Epoch: 15 [12544/46200]	Loss: 0.8486	LR: 0.020000
Training Epoch: 15 [12800/46200]	Loss: 0.7512	LR: 0.020000
Training Epoch: 15 [13056/46200]	Loss: 0.8450	LR: 0.020000
Training Epoch: 15 [13312/46200]	Loss: 0.8184	LR: 0.020000
Training Epoch: 15 [13568/46200]	Loss: 0.6577	LR: 0.020000
Training Epoch: 15 [13824/46200]	Loss: 0.7765	LR: 0.020000
Training Epoch: 15 [14080/46200]	Loss: 0.8600	LR: 0.020000
Training Epoch: 15 [14336/46200]	Loss: 0.7650	LR: 0.020000
Training Epoch: 15 [14592/46200]	Loss: 0.7583	LR: 0.020000
Training Epoch: 15 [14848/46200]	Loss: 0.7552	LR: 0.020000
Training Epoch: 15 [15104/46200]	Loss: 0.8690	LR: 0.020000
Training Epoch: 15 [15360/46200]	Loss: 0.8534	LR: 0.020000
Training Epoch: 15 [15616/46200]	Loss: 0.6721	LR: 0.020000
Training Epoch: 15 [15872/46200]	Loss: 0.8117	LR: 0.020000
Training Epoch: 15 [16128/46200]	Loss: 0.7679	LR: 0.020000
Training Epoch: 15 [16384/46200]	Loss: 0.8063	LR: 0.020000
Training Epoch: 15 [16640/46200]	Loss: 0.8544	LR: 0.020000
Training Epoch: 15 [16896/46200]	Loss: 0.7845	LR: 0.020000
Training Epoch: 15 [17152/46200]	Loss: 0.6959	LR: 0.020000
Training Epoch: 15 [17408/46200]	Loss: 0.8142	LR: 0.020000
Training Epoch: 15 [17664/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 15 [17920/46200]	Loss: 0.7908	LR: 0.020000
Training Epoch: 15 [18176/46200]	Loss: 0.7614	LR: 0.020000
Training Epoch: 15 [18432/46200]	Loss: 0.8580	LR: 0.020000
Training Epoch: 15 [18688/46200]	Loss: 0.8321	LR: 0.020000
Training Epoch: 15 [18944/46200]	Loss: 0.7530	LR: 0.020000
Training Epoch: 15 [19200/46200]	Loss: 0.8068	LR: 0.020000
Training Epoch: 15 [19456/46200]	Loss: 0.7462	LR: 0.020000
Training Epoch: 15 [19712/46200]	Loss: 0.6894	LR: 0.020000
Training Epoch: 15 [19968/46200]	Loss: 0.7581	LR: 0.020000
Training Epoch: 15 [20224/46200]	Loss: 0.7263	LR: 0.020000
Training Epoch: 15 [20480/46200]	Loss: 0.7715	LR: 0.020000
Training Epoch: 15 [20736/46200]	Loss: 0.8918	LR: 0.020000
Training Epoch: 15 [20992/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 15 [21248/46200]	Loss: 0.7255	LR: 0.020000
Training Epoch: 15 [21504/46200]	Loss: 0.7820	LR: 0.020000
Training Epoch: 15 [21760/46200]	Loss: 0.7116	LR: 0.020000
Training Epoch: 15 [22016/46200]	Loss: 0.7583	LR: 0.020000
Training Epoch: 15 [22272/46200]	Loss: 0.6974	LR: 0.020000
Training Epoch: 15 [22528/46200]	Loss: 0.8382	LR: 0.020000
Training Epoch: 15 [22784/46200]	Loss: 0.8385	LR: 0.020000
Training Epoch: 15 [23040/46200]	Loss: 0.7267	LR: 0.020000
Training Epoch: 15 [23296/46200]	Loss: 0.7038	LR: 0.020000
Training Epoch: 15 [23552/46200]	Loss: 0.7783	LR: 0.020000
Training Epoch: 15 [23808/46200]	Loss: 0.7979	LR: 0.020000
Training Epoch: 15 [24064/46200]	Loss: 0.7105	LR: 0.020000
Training Epoch: 15 [24320/46200]	Loss: 0.7691	LR: 0.020000
Training Epoch: 15 [24576/46200]	Loss: 0.7504	LR: 0.020000
Training Epoch: 15 [24832/46200]	Loss: 0.7874	LR: 0.020000
Training Epoch: 15 [25088/46200]	Loss: 0.6737	LR: 0.020000
Training Epoch: 15 [25344/46200]	Loss: 0.6421	LR: 0.020000
Training Epoch: 15 [25600/46200]	Loss: 0.6335	LR: 0.020000
Training Epoch: 15 [25856/46200]	Loss: 0.7152	LR: 0.020000
Training Epoch: 15 [26112/46200]	Loss: 0.6913	LR: 0.020000
Training Epoch: 15 [26368/46200]	Loss: 0.8107	LR: 0.020000
Training Epoch: 15 [26624/46200]	Loss: 0.7228	LR: 0.020000
Training Epoch: 15 [26880/46200]	Loss: 0.7570	LR: 0.020000
Training Epoch: 15 [27136/46200]	Loss: 0.6911	LR: 0.020000
Training Epoch: 15 [27392/46200]	Loss: 0.7368	LR: 0.020000
Training Epoch: 15 [27648/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 15 [27904/46200]	Loss: 0.7885	LR: 0.020000
Training Epoch: 15 [28160/46200]	Loss: 0.8571	LR: 0.020000
Training Epoch: 15 [28416/46200]	Loss: 0.6563	LR: 0.020000
Training Epoch: 15 [28672/46200]	Loss: 0.7399	LR: 0.020000
Training Epoch: 15 [28928/46200]	Loss: 0.7304	LR: 0.020000
Training Epoch: 15 [29184/46200]	Loss: 0.7398	LR: 0.020000
Training Epoch: 15 [29440/46200]	Loss: 0.8213	LR: 0.020000
Training Epoch: 15 [29696/46200]	Loss: 0.6329	LR: 0.020000
Training Epoch: 15 [29952/46200]	Loss: 0.7546	LR: 0.020000
Training Epoch: 15 [30208/46200]	Loss: 0.7302	LR: 0.020000
Training Epoch: 15 [30464/46200]	Loss: 0.7782	LR: 0.020000
Training Epoch: 15 [30720/46200]	Loss: 0.7752	LR: 0.020000
Training Epoch: 15 [30976/46200]	Loss: 0.7509	LR: 0.020000
Training Epoch: 15 [31232/46200]	Loss: 0.7888	LR: 0.020000
Training Epoch: 15 [31488/46200]	Loss: 0.6685	LR: 0.020000
Training Epoch: 15 [31744/46200]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [32000/46200]	Loss: 0.7468	LR: 0.020000
Training Epoch: 15 [32256/46200]	Loss: 0.7941	LR: 0.020000
Training Epoch: 15 [32512/46200]	Loss: 0.8072	LR: 0.020000
Training Epoch: 15 [32768/46200]	Loss: 0.7264	LR: 0.020000
Training Epoch: 15 [33024/46200]	Loss: 0.7478	LR: 0.020000
Training Epoch: 15 [33280/46200]	Loss: 0.8078	LR: 0.020000
Training Epoch: 15 [33536/46200]	Loss: 0.7517	LR: 0.020000
Training Epoch: 15 [33792/46200]	Loss: 0.8508	LR: 0.020000
Training Epoch: 15 [34048/46200]	Loss: 0.6722	LR: 0.020000
Training Epoch: 15 [34304/46200]	Loss: 0.8607	LR: 0.020000
Training Epoch: 15 [34560/46200]	Loss: 0.7317	LR: 0.020000
Training Epoch: 15 [34816/46200]	Loss: 0.7686	LR: 0.020000
Training Epoch: 15 [35072/46200]	Loss: 0.8223	LR: 0.020000
Training Epoch: 15 [35328/46200]	Loss: 0.6454	LR: 0.020000
Training Epoch: 15 [35584/46200]	Loss: 0.6506	LR: 0.020000
Training Epoch: 15 [35840/46200]	Loss: 0.7835	LR: 0.020000
Training Epoch: 15 [36096/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 15 [36352/46200]	Loss: 0.6889	LR: 0.020000
Training Epoch: 15 [36608/46200]	Loss: 0.8458	LR: 0.020000
Training Epoch: 15 [36864/46200]	Loss: 0.6864	LR: 0.020000
Training Epoch: 15 [37120/46200]	Loss: 0.8077	LR: 0.020000
Training Epoch: 15 [37376/46200]	Loss: 0.8252	LR: 0.020000
Training Epoch: 15 [37632/46200]	Loss: 0.7895	LR: 0.020000
Training Epoch: 15 [37888/46200]	Loss: 0.8067	LR: 0.020000
Training Epoch: 15 [38144/46200]	Loss: 0.8438	LR: 0.020000
Training Epoch: 15 [38400/46200]	Loss: 0.7836	LR: 0.020000
Training Epoch: 15 [38656/46200]	Loss: 0.6930	LR: 0.020000
Training Epoch: 15 [38912/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 15 [39168/46200]	Loss: 0.7774	LR: 0.020000
Training Epoch: 15 [39424/46200]	Loss: 0.7040	LR: 0.020000
Training Epoch: 15 [39680/46200]	Loss: 0.6998	LR: 0.020000
Training Epoch: 15 [39936/46200]	Loss: 0.7737	LR: 0.020000
Training Epoch: 15 [40192/46200]	Loss: 0.6974	LR: 0.020000
Training Epoch: 15 [40448/46200]	Loss: 0.7110	LR: 0.020000
Training Epoch: 15 [40704/46200]	Loss: 0.7084	LR: 0.020000
Training Epoch: 15 [40960/46200]	Loss: 0.7535	LR: 0.020000
Training Epoch: 15 [41216/46200]	Loss: 0.6960	LR: 0.020000
Training Epoch: 15 [41472/46200]	Loss: 0.7056	LR: 0.020000
Training Epoch: 15 [41728/46200]	Loss: 0.7058	LR: 0.020000
Training Epoch: 15 [41984/46200]	Loss: 0.7435	LR: 0.020000
Training Epoch: 15 [42240/46200]	Loss: 0.8340	LR: 0.020000
Training Epoch: 15 [42496/46200]	Loss: 0.7996	LR: 0.020000
Training Epoch: 15 [42752/46200]	Loss: 0.8088	LR: 0.020000
Training Epoch: 15 [43008/46200]	Loss: 0.8241	LR: 0.020000
Training Epoch: 15 [43264/46200]	Loss: 0.7938	LR: 0.020000
Training Epoch: 15 [43520/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 15 [43776/46200]	Loss: 0.7355	LR: 0.020000
Training Epoch: 15 [44032/46200]	Loss: 0.7346	LR: 0.020000
Training Epoch: 15 [44288/46200]	Loss: 0.7143	LR: 0.020000
Training Epoch: 15 [44544/46200]	Loss: 0.7025	LR: 0.020000
Training Epoch: 15 [44800/46200]	Loss: 0.6978	LR: 0.020000
Training Epoch: 15 [45056/46200]	Loss: 0.6824	LR: 0.020000
Training Epoch: 15 [45312/46200]	Loss: 0.7545	LR: 0.020000
Training Epoch: 15 [45568/46200]	Loss: 0.7738	LR: 0.020000
Training Epoch: 15 [45824/46200]	Loss: 0.6607	LR: 0.020000
Training Epoch: 15 [46080/46200]	Loss: 0.8547	LR: 0.020000
Training Epoch: 15 [46200/46200]	Loss: 1.0458	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7768, Train Accuracy: 0.7500
Epoch 15 training time consumed: 25.05s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7326, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.6639	LR: 0.020000
Training Epoch: 16 [512/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 16 [768/46200]	Loss: 0.7288	LR: 0.020000
Training Epoch: 16 [1024/46200]	Loss: 0.7936	LR: 0.020000
Training Epoch: 16 [1280/46200]	Loss: 0.8339	LR: 0.020000
Training Epoch: 16 [1536/46200]	Loss: 0.7626	LR: 0.020000
Training Epoch: 16 [1792/46200]	Loss: 0.6492	LR: 0.020000
Training Epoch: 16 [2048/46200]	Loss: 0.7858	LR: 0.020000
Training Epoch: 16 [2304/46200]	Loss: 0.6816	LR: 0.020000
Training Epoch: 16 [2560/46200]	Loss: 0.6310	LR: 0.020000
Training Epoch: 16 [2816/46200]	Loss: 0.6638	LR: 0.020000
Training Epoch: 16 [3072/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 16 [3328/46200]	Loss: 0.7178	LR: 0.020000
Training Epoch: 16 [3584/46200]	Loss: 0.7576	LR: 0.020000
Training Epoch: 16 [3840/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 16 [4096/46200]	Loss: 0.7498	LR: 0.020000
Training Epoch: 16 [4352/46200]	Loss: 0.7654	LR: 0.020000
Training Epoch: 16 [4608/46200]	Loss: 0.7102	LR: 0.020000
Training Epoch: 16 [4864/46200]	Loss: 0.6507	LR: 0.020000
Training Epoch: 16 [5120/46200]	Loss: 0.8852	LR: 0.020000
Training Epoch: 16 [5376/46200]	Loss: 0.6908	LR: 0.020000
Training Epoch: 16 [5632/46200]	Loss: 0.7040	LR: 0.020000
Training Epoch: 16 [5888/46200]	Loss: 0.7224	LR: 0.020000
Training Epoch: 16 [6144/46200]	Loss: 0.6729	LR: 0.020000
Training Epoch: 16 [6400/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 16 [6656/46200]	Loss: 0.7182	LR: 0.020000
Training Epoch: 16 [6912/46200]	Loss: 0.7696	LR: 0.020000
Training Epoch: 16 [7168/46200]	Loss: 0.6617	LR: 0.020000
Training Epoch: 16 [7424/46200]	Loss: 0.7294	LR: 0.020000
Training Epoch: 16 [7680/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 16 [7936/46200]	Loss: 0.7074	LR: 0.020000
Training Epoch: 16 [8192/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 16 [8448/46200]	Loss: 0.7352	LR: 0.020000
Training Epoch: 16 [8704/46200]	Loss: 0.6953	LR: 0.020000
Training Epoch: 16 [8960/46200]	Loss: 0.7535	LR: 0.020000
Training Epoch: 16 [9216/46200]	Loss: 0.6336	LR: 0.020000
Training Epoch: 16 [9472/46200]	Loss: 0.6713	LR: 0.020000
Training Epoch: 16 [9728/46200]	Loss: 0.8115	LR: 0.020000
Training Epoch: 16 [9984/46200]	Loss: 0.6994	LR: 0.020000
Training Epoch: 16 [10240/46200]	Loss: 0.7473	LR: 0.020000
Training Epoch: 16 [10496/46200]	Loss: 0.6845	LR: 0.020000
Training Epoch: 16 [10752/46200]	Loss: 0.6467	LR: 0.020000
Training Epoch: 16 [11008/46200]	Loss: 0.6691	LR: 0.020000
Training Epoch: 16 [11264/46200]	Loss: 0.7552	LR: 0.020000
Training Epoch: 16 [11520/46200]	Loss: 0.6835	LR: 0.020000
Training Epoch: 16 [11776/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 16 [12032/46200]	Loss: 0.6926	LR: 0.020000
Training Epoch: 16 [12288/46200]	Loss: 0.6939	LR: 0.020000
Training Epoch: 16 [12544/46200]	Loss: 0.6189	LR: 0.020000
Training Epoch: 16 [12800/46200]	Loss: 0.6805	LR: 0.020000
Training Epoch: 16 [13056/46200]	Loss: 0.6934	LR: 0.020000
Training Epoch: 16 [13312/46200]	Loss: 0.8023	LR: 0.020000
Training Epoch: 16 [13568/46200]	Loss: 0.7391	LR: 0.020000
Training Epoch: 16 [13824/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 16 [14080/46200]	Loss: 0.6972	LR: 0.020000
Training Epoch: 16 [14336/46200]	Loss: 0.8462	LR: 0.020000
Training Epoch: 16 [14592/46200]	Loss: 0.7156	LR: 0.020000
Training Epoch: 16 [14848/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 16 [15104/46200]	Loss: 0.7157	LR: 0.020000
Training Epoch: 16 [15360/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 16 [15616/46200]	Loss: 0.6793	LR: 0.020000
Training Epoch: 16 [15872/46200]	Loss: 0.7287	LR: 0.020000
Training Epoch: 16 [16128/46200]	Loss: 0.6716	LR: 0.020000
Training Epoch: 16 [16384/46200]	Loss: 0.7675	LR: 0.020000
Training Epoch: 16 [16640/46200]	Loss: 0.7179	LR: 0.020000
Training Epoch: 16 [16896/46200]	Loss: 0.7021	LR: 0.020000
Training Epoch: 16 [17152/46200]	Loss: 0.6765	LR: 0.020000
Training Epoch: 16 [17408/46200]	Loss: 0.7758	LR: 0.020000
Training Epoch: 16 [17664/46200]	Loss: 0.7595	LR: 0.020000
Training Epoch: 16 [17920/46200]	Loss: 0.7004	LR: 0.020000
Training Epoch: 16 [18176/46200]	Loss: 0.7370	LR: 0.020000
Training Epoch: 16 [18432/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 16 [18688/46200]	Loss: 0.7502	LR: 0.020000
Training Epoch: 16 [18944/46200]	Loss: 0.7014	LR: 0.020000
Training Epoch: 16 [19200/46200]	Loss: 0.7281	LR: 0.020000
Training Epoch: 16 [19456/46200]	Loss: 0.6941	LR: 0.020000
Training Epoch: 16 [19712/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 16 [19968/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 16 [20224/46200]	Loss: 0.7056	LR: 0.020000
Training Epoch: 16 [20480/46200]	Loss: 0.7005	LR: 0.020000
Training Epoch: 16 [20736/46200]	Loss: 0.7430	LR: 0.020000
Training Epoch: 16 [20992/46200]	Loss: 0.6529	LR: 0.020000
Training Epoch: 16 [21248/46200]	Loss: 0.5783	LR: 0.020000
Training Epoch: 16 [21504/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 16 [21760/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 16 [22016/46200]	Loss: 0.7425	LR: 0.020000
Training Epoch: 16 [22272/46200]	Loss: 0.8384	LR: 0.020000
Training Epoch: 16 [22528/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 16 [22784/46200]	Loss: 0.6879	LR: 0.020000
Training Epoch: 16 [23040/46200]	Loss: 0.6388	LR: 0.020000
Training Epoch: 16 [23296/46200]	Loss: 0.6940	LR: 0.020000
Training Epoch: 16 [23552/46200]	Loss: 0.6982	LR: 0.020000
Training Epoch: 16 [23808/46200]	Loss: 0.7792	LR: 0.020000
Training Epoch: 16 [24064/46200]	Loss: 0.6481	LR: 0.020000
Training Epoch: 16 [24320/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 16 [24576/46200]	Loss: 0.7027	LR: 0.020000
Training Epoch: 16 [24832/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 16 [25088/46200]	Loss: 0.6924	LR: 0.020000
Training Epoch: 16 [25344/46200]	Loss: 0.7001	LR: 0.020000
Training Epoch: 16 [25600/46200]	Loss: 0.7498	LR: 0.020000
Training Epoch: 16 [25856/46200]	Loss: 0.7249	LR: 0.020000
Training Epoch: 16 [26112/46200]	Loss: 0.6817	LR: 0.020000
Training Epoch: 16 [26368/46200]	Loss: 0.6679	LR: 0.020000
Training Epoch: 16 [26624/46200]	Loss: 0.7470	LR: 0.020000
Training Epoch: 16 [26880/46200]	Loss: 0.7210	LR: 0.020000
Training Epoch: 16 [27136/46200]	Loss: 0.8913	LR: 0.020000
Training Epoch: 16 [27392/46200]	Loss: 0.7359	LR: 0.020000
Training Epoch: 16 [27648/46200]	Loss: 0.7504	LR: 0.020000
Training Epoch: 16 [27904/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 16 [28160/46200]	Loss: 0.8392	LR: 0.020000
Training Epoch: 16 [28416/46200]	Loss: 0.6769	LR: 0.020000
Training Epoch: 16 [28672/46200]	Loss: 0.6887	LR: 0.020000
Training Epoch: 16 [28928/46200]	Loss: 0.6768	LR: 0.020000
Training Epoch: 16 [29184/46200]	Loss: 0.7026	LR: 0.020000
Training Epoch: 16 [29440/46200]	Loss: 0.7262	LR: 0.020000
Training Epoch: 16 [29696/46200]	Loss: 0.7808	LR: 0.020000
Training Epoch: 16 [29952/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 16 [30208/46200]	Loss: 0.6456	LR: 0.020000
Training Epoch: 16 [30464/46200]	Loss: 0.7322	LR: 0.020000
Training Epoch: 16 [30720/46200]	Loss: 0.7113	LR: 0.020000
Training Epoch: 16 [30976/46200]	Loss: 0.6918	LR: 0.020000
Training Epoch: 16 [31232/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 16 [31488/46200]	Loss: 0.7332	LR: 0.020000
Training Epoch: 16 [31744/46200]	Loss: 0.7452	LR: 0.020000
Training Epoch: 16 [32000/46200]	Loss: 0.8062	LR: 0.020000
Training Epoch: 16 [32256/46200]	Loss: 0.6903	LR: 0.020000
Training Epoch: 16 [32512/46200]	Loss: 0.6767	LR: 0.020000
Training Epoch: 16 [32768/46200]	Loss: 0.7596	LR: 0.020000
Training Epoch: 16 [33024/46200]	Loss: 0.6722	LR: 0.020000
Training Epoch: 16 [33280/46200]	Loss: 0.6445	LR: 0.020000
Training Epoch: 16 [33536/46200]	Loss: 0.6268	LR: 0.020000
Training Epoch: 16 [33792/46200]	Loss: 0.6308	LR: 0.020000
Training Epoch: 16 [34048/46200]	Loss: 0.6571	LR: 0.020000
Training Epoch: 16 [34304/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 16 [34560/46200]	Loss: 0.7590	LR: 0.020000
Training Epoch: 16 [34816/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 16 [35072/46200]	Loss: 0.8012	LR: 0.020000
Training Epoch: 16 [35328/46200]	Loss: 0.7794	LR: 0.020000
Training Epoch: 16 [35584/46200]	Loss: 0.6665	LR: 0.020000
Training Epoch: 16 [35840/46200]	Loss: 0.7841	LR: 0.020000
Training Epoch: 16 [36096/46200]	Loss: 0.6182	LR: 0.020000
Training Epoch: 16 [36352/46200]	Loss: 0.6671	LR: 0.020000
Training Epoch: 16 [36608/46200]	Loss: 0.7033	LR: 0.020000
Training Epoch: 16 [36864/46200]	Loss: 0.6205	LR: 0.020000
Training Epoch: 16 [37120/46200]	Loss: 0.8046	LR: 0.020000
Training Epoch: 16 [37376/46200]	Loss: 0.6858	LR: 0.020000
Training Epoch: 16 [37632/46200]	Loss: 0.7042	LR: 0.020000
Training Epoch: 16 [37888/46200]	Loss: 0.6912	LR: 0.020000
Training Epoch: 16 [38144/46200]	Loss: 0.6438	LR: 0.020000
Training Epoch: 16 [38400/46200]	Loss: 0.7294	LR: 0.020000
Training Epoch: 16 [38656/46200]	Loss: 0.6041	LR: 0.020000
Training Epoch: 16 [38912/46200]	Loss: 0.8245	LR: 0.020000
Training Epoch: 16 [39168/46200]	Loss: 0.8092	LR: 0.020000
Training Epoch: 16 [39424/46200]	Loss: 0.6949	LR: 0.020000
Training Epoch: 16 [39680/46200]	Loss: 0.6784	LR: 0.020000
Training Epoch: 16 [39936/46200]	Loss: 0.7291	LR: 0.020000
Training Epoch: 16 [40192/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 16 [40448/46200]	Loss: 0.6539	LR: 0.020000
Training Epoch: 16 [40704/46200]	Loss: 0.8151	LR: 0.020000
Training Epoch: 16 [40960/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 16 [41216/46200]	Loss: 0.7292	LR: 0.020000
Training Epoch: 16 [41472/46200]	Loss: 0.6924	LR: 0.020000
Training Epoch: 16 [41728/46200]	Loss: 0.6538	LR: 0.020000
Training Epoch: 16 [41984/46200]	Loss: 0.6505	LR: 0.020000
Training Epoch: 16 [42240/46200]	Loss: 0.6481	LR: 0.020000
Training Epoch: 16 [42496/46200]	Loss: 0.7737	LR: 0.020000
Training Epoch: 16 [42752/46200]	Loss: 0.7317	LR: 0.020000
Training Epoch: 16 [43008/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 16 [43264/46200]	Loss: 0.7166	LR: 0.020000
Training Epoch: 16 [43520/46200]	Loss: 0.6794	LR: 0.020000
Training Epoch: 16 [43776/46200]	Loss: 0.6892	LR: 0.020000
Training Epoch: 16 [44032/46200]	Loss: 0.7173	LR: 0.020000
Training Epoch: 16 [44288/46200]	Loss: 0.6627	LR: 0.020000
Training Epoch: 16 [44544/46200]	Loss: 0.7084	LR: 0.020000
Training Epoch: 16 [44800/46200]	Loss: 0.7083	LR: 0.020000
Training Epoch: 16 [45056/46200]	Loss: 0.7677	LR: 0.020000
Training Epoch: 16 [45312/46200]	Loss: 0.7060	LR: 0.020000
Training Epoch: 16 [45568/46200]	Loss: 0.6623	LR: 0.020000
Training Epoch: 16 [45824/46200]	Loss: 0.7153	LR: 0.020000
Training Epoch: 16 [46080/46200]	Loss: 0.6750	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.6888	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6999, Train Accuracy: 0.7767
Epoch 16 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7303, Time consumed:0.94s
Training Epoch: 17 [256/46200]	Loss: 0.7184	LR: 0.020000
Training Epoch: 17 [512/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 17 [768/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 17 [1024/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 17 [1280/46200]	Loss: 0.6704	LR: 0.020000
Training Epoch: 17 [1536/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 17 [1792/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 17 [2048/46200]	Loss: 0.7344	LR: 0.020000
Training Epoch: 17 [2304/46200]	Loss: 0.6742	LR: 0.020000
Training Epoch: 17 [2560/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 17 [2816/46200]	Loss: 0.5949	LR: 0.020000
Training Epoch: 17 [3072/46200]	Loss: 0.7536	LR: 0.020000
Training Epoch: 17 [3328/46200]	Loss: 0.6814	LR: 0.020000
Training Epoch: 17 [3584/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 17 [3840/46200]	Loss: 0.7638	LR: 0.020000
Training Epoch: 17 [4096/46200]	Loss: 0.6621	LR: 0.020000
Training Epoch: 17 [4352/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 17 [4608/46200]	Loss: 0.7576	LR: 0.020000
Training Epoch: 17 [4864/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 17 [5120/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 17 [5376/46200]	Loss: 0.6312	LR: 0.020000
Training Epoch: 17 [5632/46200]	Loss: 0.6684	LR: 0.020000
Training Epoch: 17 [5888/46200]	Loss: 0.7055	LR: 0.020000
Training Epoch: 17 [6144/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 17 [6400/46200]	Loss: 0.7065	LR: 0.020000
Training Epoch: 17 [6656/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 17 [6912/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 17 [7168/46200]	Loss: 0.6884	LR: 0.020000
Training Epoch: 17 [7424/46200]	Loss: 0.6962	LR: 0.020000
Training Epoch: 17 [7680/46200]	Loss: 0.6811	LR: 0.020000
Training Epoch: 17 [7936/46200]	Loss: 0.6320	LR: 0.020000
Training Epoch: 17 [8192/46200]	Loss: 0.7070	LR: 0.020000
Training Epoch: 17 [8448/46200]	Loss: 0.7102	LR: 0.020000
Training Epoch: 17 [8704/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 17 [8960/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 17 [9216/46200]	Loss: 0.6943	LR: 0.020000
Training Epoch: 17 [9472/46200]	Loss: 0.7172	LR: 0.020000
Training Epoch: 17 [9728/46200]	Loss: 0.6917	LR: 0.020000
Training Epoch: 17 [9984/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 17 [10240/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 17 [10496/46200]	Loss: 0.8268	LR: 0.020000
Training Epoch: 17 [10752/46200]	Loss: 0.6535	LR: 0.020000
Training Epoch: 17 [11008/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 17 [11264/46200]	Loss: 0.6751	LR: 0.020000
Training Epoch: 17 [11520/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 17 [11776/46200]	Loss: 0.7117	LR: 0.020000
Training Epoch: 17 [12032/46200]	Loss: 0.7415	LR: 0.020000
Training Epoch: 17 [12288/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 17 [12544/46200]	Loss: 0.7942	LR: 0.020000
Training Epoch: 17 [12800/46200]	Loss: 0.6501	LR: 0.020000
Training Epoch: 17 [13056/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 17 [13312/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 17 [13568/46200]	Loss: 0.6494	LR: 0.020000
Training Epoch: 17 [13824/46200]	Loss: 0.6406	LR: 0.020000
Training Epoch: 17 [14080/46200]	Loss: 0.6153	LR: 0.020000
Training Epoch: 17 [14336/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 17 [14592/46200]	Loss: 0.6300	LR: 0.020000
Training Epoch: 17 [14848/46200]	Loss: 0.7027	LR: 0.020000
Training Epoch: 17 [15104/46200]	Loss: 0.6364	LR: 0.020000
Training Epoch: 17 [15360/46200]	Loss: 0.6047	LR: 0.020000
Training Epoch: 17 [15616/46200]	Loss: 0.7483	LR: 0.020000
Training Epoch: 17 [15872/46200]	Loss: 0.6641	LR: 0.020000
Training Epoch: 17 [16128/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 17 [16384/46200]	Loss: 0.6130	LR: 0.020000
Training Epoch: 17 [16640/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 17 [16896/46200]	Loss: 0.7606	LR: 0.020000
Training Epoch: 17 [17152/46200]	Loss: 0.7007	LR: 0.020000
Training Epoch: 17 [17408/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 17 [17664/46200]	Loss: 0.6500	LR: 0.020000
Training Epoch: 17 [17920/46200]	Loss: 0.7839	LR: 0.020000
Training Epoch: 17 [18176/46200]	Loss: 0.7502	LR: 0.020000
Training Epoch: 17 [18432/46200]	Loss: 0.7528	LR: 0.020000
Training Epoch: 17 [18688/46200]	Loss: 0.6562	LR: 0.020000
Training Epoch: 17 [18944/46200]	Loss: 0.6390	LR: 0.020000
Training Epoch: 17 [19200/46200]	Loss: 0.6790	LR: 0.020000
Training Epoch: 17 [19456/46200]	Loss: 0.6848	LR: 0.020000
Training Epoch: 17 [19712/46200]	Loss: 0.7123	LR: 0.020000
Training Epoch: 17 [19968/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 17 [20224/46200]	Loss: 0.7760	LR: 0.020000
Training Epoch: 17 [20480/46200]	Loss: 0.7092	LR: 0.020000
Training Epoch: 17 [20736/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 17 [20992/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 17 [21248/46200]	Loss: 0.7327	LR: 0.020000
Training Epoch: 17 [21504/46200]	Loss: 0.6941	LR: 0.020000
Training Epoch: 17 [21760/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 17 [22016/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 17 [22272/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 17 [22528/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 17 [22784/46200]	Loss: 0.6557	LR: 0.020000
Training Epoch: 17 [23040/46200]	Loss: 0.7678	LR: 0.020000
Training Epoch: 17 [23296/46200]	Loss: 0.6982	LR: 0.020000
Training Epoch: 17 [23552/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 17 [23808/46200]	Loss: 0.6858	LR: 0.020000
Training Epoch: 17 [24064/46200]	Loss: 0.7163	LR: 0.020000
Training Epoch: 17 [24320/46200]	Loss: 0.7224	LR: 0.020000
Training Epoch: 17 [24576/46200]	Loss: 0.7180	LR: 0.020000
Training Epoch: 17 [24832/46200]	Loss: 0.6516	LR: 0.020000
Training Epoch: 17 [25088/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 17 [25344/46200]	Loss: 0.6554	LR: 0.020000
Training Epoch: 17 [25600/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 17 [25856/46200]	Loss: 0.7204	LR: 0.020000
Training Epoch: 17 [26112/46200]	Loss: 0.7737	LR: 0.020000
Training Epoch: 17 [26368/46200]	Loss: 0.6696	LR: 0.020000
Training Epoch: 17 [26624/46200]	Loss: 0.7163	LR: 0.020000
Training Epoch: 17 [26880/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 17 [27136/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 17 [27392/46200]	Loss: 0.7085	LR: 0.020000
Training Epoch: 17 [27648/46200]	Loss: 0.8014	LR: 0.020000
Training Epoch: 17 [27904/46200]	Loss: 0.5742	LR: 0.020000
Training Epoch: 17 [28160/46200]	Loss: 0.6551	LR: 0.020000
Training Epoch: 17 [28416/46200]	Loss: 0.7242	LR: 0.020000
Training Epoch: 17 [28672/46200]	Loss: 0.6741	LR: 0.020000
Training Epoch: 17 [28928/46200]	Loss: 0.6642	LR: 0.020000
Training Epoch: 17 [29184/46200]	Loss: 0.7613	LR: 0.020000
Training Epoch: 17 [29440/46200]	Loss: 0.6643	LR: 0.020000
Training Epoch: 17 [29696/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 17 [29952/46200]	Loss: 0.7408	LR: 0.020000
Training Epoch: 17 [30208/46200]	Loss: 0.7025	LR: 0.020000
Training Epoch: 17 [30464/46200]	Loss: 0.6446	LR: 0.020000
Training Epoch: 17 [30720/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 17 [30976/46200]	Loss: 0.6994	LR: 0.020000
Training Epoch: 17 [31232/46200]	Loss: 0.8534	LR: 0.020000
Training Epoch: 17 [31488/46200]	Loss: 0.6848	LR: 0.020000
Training Epoch: 17 [31744/46200]	Loss: 0.7136	LR: 0.020000
Training Epoch: 17 [32000/46200]	Loss: 0.6442	LR: 0.020000
Training Epoch: 17 [32256/46200]	Loss: 0.7222	LR: 0.020000
Training Epoch: 17 [32512/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 17 [32768/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 17 [33024/46200]	Loss: 0.6975	LR: 0.020000
Training Epoch: 17 [33280/46200]	Loss: 0.7039	LR: 0.020000
Training Epoch: 17 [33536/46200]	Loss: 0.7703	LR: 0.020000
Training Epoch: 17 [33792/46200]	Loss: 0.7600	LR: 0.020000
Training Epoch: 17 [34048/46200]	Loss: 0.7089	LR: 0.020000
Training Epoch: 17 [34304/46200]	Loss: 0.6606	LR: 0.020000
Training Epoch: 17 [34560/46200]	Loss: 0.7063	LR: 0.020000
Training Epoch: 17 [34816/46200]	Loss: 0.6539	LR: 0.020000
Training Epoch: 17 [35072/46200]	Loss: 0.6001	LR: 0.020000
Training Epoch: 17 [35328/46200]	Loss: 0.7053	LR: 0.020000
Training Epoch: 17 [35584/46200]	Loss: 0.6984	LR: 0.020000
Training Epoch: 17 [35840/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 17 [36096/46200]	Loss: 0.8077	LR: 0.020000
Training Epoch: 17 [36352/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 17 [36608/46200]	Loss: 0.6656	LR: 0.020000
Training Epoch: 17 [36864/46200]	Loss: 0.6657	LR: 0.020000
Training Epoch: 17 [37120/46200]	Loss: 0.7551	LR: 0.020000
Training Epoch: 17 [37376/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 17 [37632/46200]	Loss: 0.6849	LR: 0.020000
Training Epoch: 17 [37888/46200]	Loss: 0.6600	LR: 0.020000
Training Epoch: 17 [38144/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 17 [38400/46200]	Loss: 0.6923	LR: 0.020000
Training Epoch: 17 [38656/46200]	Loss: 0.6236	LR: 0.020000
Training Epoch: 17 [38912/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 17 [39168/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 17 [39424/46200]	Loss: 0.7408	LR: 0.020000
Training Epoch: 17 [39680/46200]	Loss: 0.6543	LR: 0.020000
Training Epoch: 17 [39936/46200]	Loss: 0.6606	LR: 0.020000
Training Epoch: 17 [40192/46200]	Loss: 0.6991	LR: 0.020000
Training Epoch: 17 [40448/46200]	Loss: 0.8085	LR: 0.020000
Training Epoch: 17 [40704/46200]	Loss: 0.6710	LR: 0.020000
Training Epoch: 17 [40960/46200]	Loss: 0.6739	LR: 0.020000
Training Epoch: 17 [41216/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 17 [41472/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 17 [41728/46200]	Loss: 0.7233	LR: 0.020000
Training Epoch: 17 [41984/46200]	Loss: 0.6255	LR: 0.020000
Training Epoch: 17 [42240/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 17 [42496/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 17 [42752/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 17 [43008/46200]	Loss: 0.6717	LR: 0.020000
Training Epoch: 17 [43264/46200]	Loss: 0.6869	LR: 0.020000
Training Epoch: 17 [43520/46200]	Loss: 0.7306	LR: 0.020000
Training Epoch: 17 [43776/46200]	Loss: 0.7854	LR: 0.020000
Training Epoch: 17 [44032/46200]	Loss: 0.6348	LR: 0.020000
Training Epoch: 17 [44288/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 17 [44544/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 17 [44800/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 17 [45056/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 17 [45312/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 17 [45568/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 17 [45824/46200]	Loss: 0.6762	LR: 0.020000
Training Epoch: 17 [46080/46200]	Loss: 0.8338	LR: 0.020000
Training Epoch: 17 [46200/46200]	Loss: 0.6322	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6701, Train Accuracy: 0.7850
Epoch 17 training time consumed: 25.17s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7414, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 18 [512/46200]	Loss: 0.6430	LR: 0.020000
Training Epoch: 18 [768/46200]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [1024/46200]	Loss: 0.6657	LR: 0.020000
Training Epoch: 18 [1280/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 18 [1536/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 18 [1792/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 18 [2048/46200]	Loss: 0.5308	LR: 0.020000
Training Epoch: 18 [2304/46200]	Loss: 0.7692	LR: 0.020000
Training Epoch: 18 [2560/46200]	Loss: 0.6791	LR: 0.020000
Training Epoch: 18 [2816/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 18 [3072/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 18 [3328/46200]	Loss: 0.7075	LR: 0.020000
Training Epoch: 18 [3584/46200]	Loss: 0.7324	LR: 0.020000
Training Epoch: 18 [3840/46200]	Loss: 0.5892	LR: 0.020000
Training Epoch: 18 [4096/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 18 [4352/46200]	Loss: 0.6720	LR: 0.020000
Training Epoch: 18 [4608/46200]	Loss: 0.6800	LR: 0.020000
Training Epoch: 18 [4864/46200]	Loss: 0.5920	LR: 0.020000
Training Epoch: 18 [5120/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 18 [5376/46200]	Loss: 0.7255	LR: 0.020000
Training Epoch: 18 [5632/46200]	Loss: 0.6695	LR: 0.020000
Training Epoch: 18 [5888/46200]	Loss: 0.6921	LR: 0.020000
Training Epoch: 18 [6144/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 18 [6400/46200]	Loss: 0.8258	LR: 0.020000
Training Epoch: 18 [6656/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 18 [6912/46200]	Loss: 0.7190	LR: 0.020000
Training Epoch: 18 [7168/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 18 [7424/46200]	Loss: 0.7007	LR: 0.020000
Training Epoch: 18 [7680/46200]	Loss: 0.6575	LR: 0.020000
Training Epoch: 18 [7936/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 18 [8192/46200]	Loss: 0.6701	LR: 0.020000
Training Epoch: 18 [8448/46200]	Loss: 0.6348	LR: 0.020000
Training Epoch: 18 [8704/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 18 [8960/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 18 [9216/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.7607	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.6583	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.6746	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.6313	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.6899	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.6849	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.6429	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.6828	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.6508	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.6176	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.6299	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.6497	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.7041	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.7360	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.7739	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6436	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.6619	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.7563	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.7024	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6477	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.6944	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.6166	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.6575	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.7043	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.6738	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.6973	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.6530	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.7010	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.6371	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.6509	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.7136	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.7271	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.8044	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.7136	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.6780	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.6424	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.6255	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.6560	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.6336	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.7162	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.6826	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.7320	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.7087	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.6578	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.7841	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.6868	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6869	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.6526	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.6710	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.7370	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.7348	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.6749	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.5892	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.7818	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.7241	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.7106	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.7275	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.7771	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.6240	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.6236	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.6303	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.7377	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.7173	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.6205	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.7877	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.6049	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.7441	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.7096	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.7381	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6985	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.6463	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.6989	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5759	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.6629	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.6839	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.6994	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.6218	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.5328	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.6454	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.4907	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.7690	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.6699	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.6711	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.6380	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.6404	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.6855	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.7770	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.6720	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.6226	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.5829	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.6912	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.6433	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.5967	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6498, Train Accuracy: 0.7888
Epoch 18 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7418, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-18-best.pth
Training Epoch: 19 [256/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.6583	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.7006	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.4866	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.7583	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.6629	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.7491	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.6868	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.6839	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.6680	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.7189	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.7340	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.7125	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.6476	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.6265	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5656	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.5526	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.6270	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6211	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.6360	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.7076	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.5509	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.6061	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.6106	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.6563	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.6435	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.5857	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.5891	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.7173	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.6030	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.6989	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.6159	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.6260	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.6833	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6448	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.5949	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.7706	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.7697	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.7051	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.7283	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.6159	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.6890	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.7235	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.7014	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.6006	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.6339	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.6991	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.6560	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5793	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.5868	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.7382	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.7273	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.5831	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.6935	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.6044	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.7347	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.6554	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.7301	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.6577	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.6737	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.6386	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.6357	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.5883	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.7839	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.6753	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.6725	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.6840	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.6537	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.6355	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.6708	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.6744	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.5691	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.6396	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.6907	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.6587	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.6061	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.6315	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.6745	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.6723	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.7143	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.6935	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.6729	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.6933	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.6165	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.6715	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.7094	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.7841	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6246, Train Accuracy: 0.7992
Epoch 19 training time consumed: 25.62s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7341, Time consumed:0.92s
Training Epoch: 20 [256/46200]	Loss: 0.6571	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.7108	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.6593	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.6891	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.6471	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.6144	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.7416	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.5927	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.6566	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.7734	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.7029	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.6557	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.6464	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.6888	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.5625	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.6503	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.6604	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.6492	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.5889	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.6995	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.6263	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.6530	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 20 [14592/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 20 [14848/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 20 [15104/46200]	Loss: 0.6442	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.6732	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.5990	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.5977	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 20 [17664/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 20 [17920/46200]	Loss: 0.6671	LR: 0.020000
Training Epoch: 20 [18176/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 20 [18432/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.6211	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.5856	LR: 0.020000
Training Epoch: 20 [20992/46200]	Loss: 0.5780	LR: 0.020000
Training Epoch: 20 [21248/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 20 [21504/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [21760/46200]	Loss: 0.6447	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.5373	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.5953	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.6426	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.6398	LR: 0.020000
Training Epoch: 20 [23552/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 20 [23808/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 20 [24064/46200]	Loss: 0.6477	LR: 0.020000
Training Epoch: 20 [24320/46200]	Loss: 0.6901	LR: 0.020000
Training Epoch: 20 [24576/46200]	Loss: 0.6340	LR: 0.020000
Training Epoch: 20 [24832/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 20 [25088/46200]	Loss: 0.5969	LR: 0.020000
Training Epoch: 20 [25344/46200]	Loss: 0.6013	LR: 0.020000
Training Epoch: 20 [25600/46200]	Loss: 0.6144	LR: 0.020000
Training Epoch: 20 [25856/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 20 [26112/46200]	Loss: 0.6656	LR: 0.020000
Training Epoch: 20 [26368/46200]	Loss: 0.7095	LR: 0.020000
Training Epoch: 20 [26624/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 20 [26880/46200]	Loss: 0.5635	LR: 0.020000
Training Epoch: 20 [27136/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 20 [27392/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 20 [27648/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 20 [27904/46200]	Loss: 0.6457	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.7113	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.6414	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.7365	LR: 0.020000
Training Epoch: 20 [29696/46200]	Loss: 0.6387	LR: 0.020000
Training Epoch: 20 [29952/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 20 [30208/46200]	Loss: 0.6422	LR: 0.020000
Training Epoch: 20 [30464/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 20 [30720/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 20 [30976/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 20 [31232/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 20 [31488/46200]	Loss: 0.4310	LR: 0.020000
Training Epoch: 20 [31744/46200]	Loss: 0.5829	LR: 0.020000
Training Epoch: 20 [32000/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 20 [32256/46200]	Loss: 0.7389	LR: 0.020000
Training Epoch: 20 [32512/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 20 [32768/46200]	Loss: 0.5742	LR: 0.020000
Training Epoch: 20 [33024/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 20 [33280/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 20 [33536/46200]	Loss: 0.7100	LR: 0.020000
Training Epoch: 20 [33792/46200]	Loss: 0.6646	LR: 0.020000
Training Epoch: 20 [34048/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [34304/46200]	Loss: 0.6507	LR: 0.020000
Training Epoch: 20 [34560/46200]	Loss: 0.6600	LR: 0.020000
Training Epoch: 20 [34816/46200]	Loss: 0.5881	LR: 0.020000
Training Epoch: 20 [35072/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 20 [35328/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 20 [35584/46200]	Loss: 0.6235	LR: 0.020000
Training Epoch: 20 [35840/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 20 [36096/46200]	Loss: 0.7189	LR: 0.020000
Training Epoch: 20 [36352/46200]	Loss: 0.7231	LR: 0.020000
Training Epoch: 20 [36608/46200]	Loss: 0.7028	LR: 0.020000
Training Epoch: 20 [36864/46200]	Loss: 0.5780	LR: 0.020000
Training Epoch: 20 [37120/46200]	Loss: 0.6260	LR: 0.020000
Training Epoch: 20 [37376/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.6076	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.6855	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.6584	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.7047	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.6364	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.7131	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.7414	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.5855	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.6736	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.6486	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.7225	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.7318	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.6161	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.6481	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.6791	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.7433	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.6181	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6095, Train Accuracy: 0.8066
Epoch 20 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7388, Time consumed:0.87s
Training Epoch: 21 [256/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.6421	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.6880	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.5980	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.6650	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.6968	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.6129	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.6615	LR: 0.020000
Training Epoch: 21 [9728/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 21 [9984/46200]	Loss: 0.4629	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.5803	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.6857	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 21 [12544/46200]	Loss: 0.7091	LR: 0.020000
Training Epoch: 21 [12800/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 21 [13056/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.7140	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.6662	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.6479	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.7544	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.6539	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.6625	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.6138	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6258	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.6385	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.5540	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.7342	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.6729	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.5009	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.6349	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.6836	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5681	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6047	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.6748	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.6920	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.6489	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.4449	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.6550	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.6599	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.7037	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.5951	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.6196	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.5990	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.7104	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.6384	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.6792	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.6737	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.6745	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.6819	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5989	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.7261	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.5606	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5864	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6159	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.6570	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.6588	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.6122	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.6001	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6977	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.6570	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5401	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5940, Train Accuracy: 0.8081
Epoch 21 training time consumed: 25.00s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0034, Accuracy: 0.7399, Time consumed:0.95s
Training Epoch: 22 [256/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.5397	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.7288	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.6875	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.5746	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.7375	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.5076	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.5793	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.5980	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4994	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.5634	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5819	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4989	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.6332	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.6438	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.5818	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.6511	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.6451	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.6411	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.6044	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.5270	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.5676	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.6204	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.6823	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5041	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.6384	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.6680	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.4856	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.4736	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.5584	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6910	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.5888	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.6530	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.7323	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.6278	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.5927	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.6543	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.6418	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.6911	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.6918	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.5656	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.5491	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.6510	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.6641	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.6153	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.6593	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.7502	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.7931	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.7435	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.5557	LR: 0.020000
Training Epoch: 22 [41728/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 22 [41984/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 22 [42240/46200]	Loss: 0.6211	LR: 0.020000
Training Epoch: 22 [42496/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 22 [42752/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 22 [43008/46200]	Loss: 0.6520	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.5780	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.6424	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6881	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.5818	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.6986	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5775, Train Accuracy: 0.8129
Epoch 22 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7361, Time consumed:0.95s
Training Epoch: 23 [256/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5410	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.6279	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.6702	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5923	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.6178	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4861	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5425	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.6215	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.6323	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.5931	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.7037	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.7019	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.7488	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5655	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5656	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.6264	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.6317	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5631	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4660	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.7015	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 23 [25088/46200]	Loss: 0.6632	LR: 0.020000
Training Epoch: 23 [25344/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 23 [25600/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 23 [25856/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 23 [26112/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 23 [26368/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 23 [26624/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 23 [26880/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 23 [27136/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 23 [27648/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.6744	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.5760	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 23 [29952/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 23 [30208/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 23 [30464/46200]	Loss: 0.7393	LR: 0.020000
Training Epoch: 23 [30720/46200]	Loss: 0.6427	LR: 0.020000
Training Epoch: 23 [30976/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 23 [31488/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 23 [31744/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 23 [32000/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 23 [32256/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [32512/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 23 [32768/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 23 [33024/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 23 [33280/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 23 [33536/46200]	Loss: 0.6938	LR: 0.020000
Training Epoch: 23 [33792/46200]	Loss: 0.5556	LR: 0.020000
Training Epoch: 23 [34048/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 23 [34304/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 23 [34560/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 23 [34816/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 23 [35072/46200]	Loss: 0.6184	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 23 [35840/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 23 [36096/46200]	Loss: 0.6431	LR: 0.020000
Training Epoch: 23 [36352/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [36864/46200]	Loss: 0.6186	LR: 0.020000
Training Epoch: 23 [37120/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 23 [37376/46200]	Loss: 0.6944	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.7631	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.6441	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 23 [38912/46200]	Loss: 0.4870	LR: 0.020000
Training Epoch: 23 [39168/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 23 [39680/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 23 [39936/46200]	Loss: 0.6421	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.6349	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5724	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.5686	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.6371	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.6999	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.6690	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5713	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5672, Train Accuracy: 0.8164
Epoch 23 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0034, Accuracy: 0.7507, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-23-best.pth
Training Epoch: 24 [256/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.5390	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.4952	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.4832	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.5168	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.6499	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.5704	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.5806	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.4609	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.6001	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.7129	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 24 [12800/46200]	Loss: 0.5891	LR: 0.020000
Training Epoch: 24 [13056/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 24 [13824/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 24 [14080/46200]	Loss: 0.6278	LR: 0.020000
Training Epoch: 24 [14336/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 24 [14592/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 24 [14848/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 24 [15104/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 24 [15360/46200]	Loss: 0.6478	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4969	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.5047	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.6963	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.6984	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.5594	LR: 0.020000
Training Epoch: 24 [21248/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 24 [21504/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.4512	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.6479	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.6263	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 24 [26112/46200]	Loss: 0.6612	LR: 0.020000
Training Epoch: 24 [26368/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5994	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.5816	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.6064	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.5194	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.6371	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 24 [32768/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 24 [33024/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 24 [33280/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 24 [33536/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 24 [33792/46200]	Loss: 0.6738	LR: 0.020000
Training Epoch: 24 [34048/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 24 [34304/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 24 [34560/46200]	Loss: 0.5491	LR: 0.020000
Training Epoch: 24 [34816/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 24 [35072/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 24 [35328/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 24 [35584/46200]	Loss: 0.6926	LR: 0.020000
Training Epoch: 24 [35840/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 24 [36096/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 24 [36352/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 24 [36608/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 24 [36864/46200]	Loss: 0.5839	LR: 0.020000
Training Epoch: 24 [37120/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 24 [37376/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 24 [37888/46200]	Loss: 0.6082	LR: 0.020000
Training Epoch: 24 [38144/46200]	Loss: 0.7141	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.5779	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.7837	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.6315	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.6822	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.4884	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.6257	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.6519	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.6155	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5517, Train Accuracy: 0.8210
Epoch 24 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7303, Time consumed:0.88s
Training Epoch: 25 [256/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.6502	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.6052	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.4846	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.6390	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.6122	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 25 [10496/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 25 [10752/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.6464	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.6013	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 25 [12800/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 25 [13056/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 25 [13312/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 25 [13568/46200]	Loss: 0.5810	LR: 0.020000
Training Epoch: 25 [13824/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 25 [14080/46200]	Loss: 0.6288	LR: 0.020000
Training Epoch: 25 [14336/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 25 [14592/46200]	Loss: 0.7033	LR: 0.020000
Training Epoch: 25 [14848/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 25 [15104/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [15360/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 25 [15616/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 25 [15872/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 25 [16128/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 25 [16384/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 25 [16640/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 25 [16896/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 25 [17152/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 25 [17408/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 25 [17664/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 25 [17920/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 25 [18176/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 25 [18432/46200]	Loss: 0.4949	LR: 0.020000
Training Epoch: 25 [18688/46200]	Loss: 0.6522	LR: 0.020000
Training Epoch: 25 [18944/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 25 [19712/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 25 [19968/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 25 [20224/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 25 [20480/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 25 [20736/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 25 [20992/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 25 [21248/46200]	Loss: 0.7047	LR: 0.020000
Training Epoch: 25 [21504/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 25 [21760/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 25 [22016/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 25 [22272/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 25 [22528/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 25 [22784/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 25 [23040/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 25 [23296/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 25 [23552/46200]	Loss: 0.5904	LR: 0.020000
Training Epoch: 25 [23808/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 25 [24064/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 25 [24320/46200]	Loss: 0.6554	LR: 0.020000
Training Epoch: 25 [24576/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 25 [24832/46200]	Loss: 0.6013	LR: 0.020000
Training Epoch: 25 [25088/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 25 [25344/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 25 [25600/46200]	Loss: 0.6243	LR: 0.020000
Training Epoch: 25 [25856/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 25 [26112/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 25 [26368/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 25 [26624/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 25 [26880/46200]	Loss: 0.5509	LR: 0.020000
Training Epoch: 25 [27136/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 25 [27392/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.6579	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 25 [30208/46200]	Loss: 0.5853	LR: 0.020000
Training Epoch: 25 [30464/46200]	Loss: 0.6243	LR: 0.020000
Training Epoch: 25 [30720/46200]	Loss: 0.6735	LR: 0.020000
Training Epoch: 25 [30976/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 25 [31232/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 25 [31488/46200]	Loss: 0.6151	LR: 0.020000
Training Epoch: 25 [31744/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [32000/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 25 [32256/46200]	Loss: 0.4393	LR: 0.020000
Training Epoch: 25 [32512/46200]	Loss: 0.5584	LR: 0.020000
Training Epoch: 25 [32768/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 25 [33024/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 25 [33280/46200]	Loss: 0.6681	LR: 0.020000
Training Epoch: 25 [33536/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 25 [33792/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 25 [34048/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 25 [34304/46200]	Loss: 0.5920	LR: 0.020000
Training Epoch: 25 [34560/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 25 [34816/46200]	Loss: 0.6820	LR: 0.020000
Training Epoch: 25 [35072/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 25 [35328/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 25 [35584/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 25 [35840/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 25 [36096/46200]	Loss: 0.6472	LR: 0.020000
Training Epoch: 25 [36352/46200]	Loss: 0.5754	LR: 0.020000
Training Epoch: 25 [36608/46200]	Loss: 0.4609	LR: 0.020000
Training Epoch: 25 [36864/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 25 [37120/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 25 [37376/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 25 [37632/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 25 [37888/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 25 [38144/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 25 [38400/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 25 [38912/46200]	Loss: 0.6855	LR: 0.020000
Training Epoch: 25 [39168/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 25 [39424/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 25 [39680/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 25 [39936/46200]	Loss: 0.5625	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.6341	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.6027	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.6372	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.5714	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.6615	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.6244	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.6454	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5497, Train Accuracy: 0.8219
Epoch 25 training time consumed: 25.00s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7272, Time consumed:0.92s
Training Epoch: 26 [256/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.7009	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.4438	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.4631	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.5687	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 26 [4864/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 26 [5120/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.4780	LR: 0.020000
Training Epoch: 26 [5632/46200]	Loss: 0.6845	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.5456	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 26 [6912/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 26 [7168/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 26 [7680/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.6931	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.6027	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.4324	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.4850	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5249	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.5585	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.5833	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.6140	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.4556	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.5853	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.5037	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.6429	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.6264	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.6123	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.4490	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.6828	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.6276	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.4976	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.6737	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5658	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.5883	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.6895	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5989	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.5011	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5889	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.6501	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.5741	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.6730	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.6216	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5376	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.6503	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.6060	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5448, Train Accuracy: 0.8238
Epoch 26 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7340, Time consumed:0.86s
Training Epoch: 27 [256/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4079	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.4297	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.4344	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.6462	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.4435	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4700	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.5419	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.5964	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.6217	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4816	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.6699	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.6461	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.6452	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.4416	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5964	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5418	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.6211	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.5140	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.4794	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.6270	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.6660	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.6346	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.6306	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.4994	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.6177	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5410	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.6920	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.6300	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.6659	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5281, Train Accuracy: 0.8285
Epoch 27 training time consumed: 25.01s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0038, Accuracy: 0.7215, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.4794	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.4996	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.5563	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.4764	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.4501	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3990	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.4713	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.5477	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.4684	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.6120	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.4851	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.5000	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.6664	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.4757	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.4969	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.5289	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.6061	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.6177	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.6581	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.5381	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4893	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.4777	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 28 [24320/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 28 [24576/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [24832/46200]	Loss: 0.6798	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.4130	LR: 0.020000
Training Epoch: 28 [25344/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 28 [25600/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 28 [25856/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.7185	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.5803	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.5029	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.6538	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.5839	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.6818	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.4884	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.4706	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.5994	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.4355	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.4664	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.6286	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.4854	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.4542	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.7012	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.6167	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.6083	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5204, Train Accuracy: 0.8301
Epoch 28 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7428, Time consumed:0.90s
Training Epoch: 29 [256/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4192	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4335	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.4990	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3997	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.4856	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.4415	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.4186	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.4866	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.4031	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.6148	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5834	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.5874	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.4950	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.3639	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4508	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.6185	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.5211	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.4580	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.5452	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5624	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4451	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.5874	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4978	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5056	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.6335	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.5681	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.4394	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.6186	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.4950	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.6744	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.6335	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.4566	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.5671	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5691	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4609	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3777	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4687	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5112, Train Accuracy: 0.8332
Epoch 29 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7417, Time consumed:0.96s
Training Epoch: 30 [256/46200]	Loss: 0.4663	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.4840	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4856	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.5078	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.5508	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4972	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.5011	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.4240	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.4299	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4470	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4823	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.5153	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4238	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4784	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4051	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.4643	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4406	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4153	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.4414	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4063	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.4214	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.3828	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.3782	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.3938	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4272	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.3659	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.4000	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4721	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.3971	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4352	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.4202	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4774	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.3696	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.3543	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.4757	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3413	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3789	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.4812	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.5275	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.4167	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.3617	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4523	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.3997	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.4773	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.4361	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.4464	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.3900	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3781	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.3512	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.4833	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.3805	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.3160	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.3958	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3506	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.3380	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.4249	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.3574	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.4030	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.3101	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3372	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3944	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.4292	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.3928	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.4295	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.3535	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3987	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3620	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.3281	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.4293	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.3679	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.4230	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.4956	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.3995	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3973	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.3967	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.4024	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4240	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.4479	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.4007	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.3551	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3651	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3450	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.4305	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.4096	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3184	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.3215	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.4096	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3872	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.3151	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.4708	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.3944	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3601	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.4437	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.3518	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.4207	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.3951	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3487	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3516	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2897	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.4047	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.3541	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.4081	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.4323	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.3824	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.4098	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3946	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.3598	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.5212	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4053	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.3942	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.3820	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3211	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.4185	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3872	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.3683	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3471	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.3820	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3284	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.4187	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.3249	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.3533	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.4049	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.4089	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.3648	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.3411	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3413	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.4290	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.3717	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.4934	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3355	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.4013	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.4148	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.3333	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.3574	LR: 0.004000
Training Epoch: 30 [39936/46200]	Loss: 0.3972	LR: 0.004000
Training Epoch: 30 [40192/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 30 [40448/46200]	Loss: 0.2867	LR: 0.004000
Training Epoch: 30 [40704/46200]	Loss: 0.3738	LR: 0.004000
Training Epoch: 30 [40960/46200]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [41216/46200]	Loss: 0.4650	LR: 0.004000
Training Epoch: 30 [41472/46200]	Loss: 0.3515	LR: 0.004000
Training Epoch: 30 [41728/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 30 [41984/46200]	Loss: 0.4149	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.4746	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.3712	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.3792	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3556	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3142	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3109	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.3480	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.4429	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3499	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.3944	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.3418	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.3421	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3453	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.4311	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.3840	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3955, Train Accuracy: 0.8780
Epoch 30 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7771, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3943	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.4407	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.4051	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.4543	LR: 0.004000
Training Epoch: 31 [1280/46200]	Loss: 0.4004	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.3722	LR: 0.004000
Training Epoch: 31 [1792/46200]	Loss: 0.3688	LR: 0.004000
Training Epoch: 31 [2048/46200]	Loss: 0.2645	LR: 0.004000
Training Epoch: 31 [2304/46200]	Loss: 0.3324	LR: 0.004000
Training Epoch: 31 [2560/46200]	Loss: 0.2962	LR: 0.004000
Training Epoch: 31 [2816/46200]	Loss: 0.4312	LR: 0.004000
Training Epoch: 31 [3072/46200]	Loss: 0.4070	LR: 0.004000
Training Epoch: 31 [3328/46200]	Loss: 0.2921	LR: 0.004000
Training Epoch: 31 [3584/46200]	Loss: 0.3449	LR: 0.004000
Training Epoch: 31 [3840/46200]	Loss: 0.2596	LR: 0.004000
Training Epoch: 31 [4096/46200]	Loss: 0.3322	LR: 0.004000
Training Epoch: 31 [4352/46200]	Loss: 0.3956	LR: 0.004000
Training Epoch: 31 [4608/46200]	Loss: 0.2861	LR: 0.004000
Training Epoch: 31 [4864/46200]	Loss: 0.4385	LR: 0.004000
Training Epoch: 31 [5120/46200]	Loss: 0.3662	LR: 0.004000
Training Epoch: 31 [5376/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 31 [5632/46200]	Loss: 0.3508	LR: 0.004000
Training Epoch: 31 [5888/46200]	Loss: 0.3919	LR: 0.004000
Training Epoch: 31 [6144/46200]	Loss: 0.3758	LR: 0.004000
Training Epoch: 31 [6400/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 31 [6656/46200]	Loss: 0.3230	LR: 0.004000
Training Epoch: 31 [6912/46200]	Loss: 0.3735	LR: 0.004000
Training Epoch: 31 [7168/46200]	Loss: 0.3490	LR: 0.004000
Training Epoch: 31 [7424/46200]	Loss: 0.4748	LR: 0.004000
Training Epoch: 31 [7680/46200]	Loss: 0.3692	LR: 0.004000
Training Epoch: 31 [7936/46200]	Loss: 0.3411	LR: 0.004000
Training Epoch: 31 [8192/46200]	Loss: 0.3845	LR: 0.004000
Training Epoch: 31 [8448/46200]	Loss: 0.2933	LR: 0.004000
Training Epoch: 31 [8704/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 31 [8960/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 31 [9216/46200]	Loss: 0.2916	LR: 0.004000
Training Epoch: 31 [9472/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 31 [9728/46200]	Loss: 0.3308	LR: 0.004000
Training Epoch: 31 [9984/46200]	Loss: 0.3102	LR: 0.004000
Training Epoch: 31 [10240/46200]	Loss: 0.4419	LR: 0.004000
Training Epoch: 31 [10496/46200]	Loss: 0.3895	LR: 0.004000
Training Epoch: 31 [10752/46200]	Loss: 0.3989	LR: 0.004000
Training Epoch: 31 [11008/46200]	Loss: 0.3681	LR: 0.004000
Training Epoch: 31 [11264/46200]	Loss: 0.3525	LR: 0.004000
Training Epoch: 31 [11520/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 31 [11776/46200]	Loss: 0.3072	LR: 0.004000
Training Epoch: 31 [12032/46200]	Loss: 0.3054	LR: 0.004000
Training Epoch: 31 [12288/46200]	Loss: 0.3917	LR: 0.004000
Training Epoch: 31 [12544/46200]	Loss: 0.3626	LR: 0.004000
Training Epoch: 31 [12800/46200]	Loss: 0.2958	LR: 0.004000
Training Epoch: 31 [13056/46200]	Loss: 0.3771	LR: 0.004000
Training Epoch: 31 [13312/46200]	Loss: 0.3457	LR: 0.004000
Training Epoch: 31 [13568/46200]	Loss: 0.4184	LR: 0.004000
Training Epoch: 31 [13824/46200]	Loss: 0.3475	LR: 0.004000
Training Epoch: 31 [14080/46200]	Loss: 0.3505	LR: 0.004000
Training Epoch: 31 [14336/46200]	Loss: 0.3248	LR: 0.004000
Training Epoch: 31 [14592/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 31 [14848/46200]	Loss: 0.3071	LR: 0.004000
Training Epoch: 31 [15104/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 31 [15360/46200]	Loss: 0.3953	LR: 0.004000
Training Epoch: 31 [15616/46200]	Loss: 0.3034	LR: 0.004000
Training Epoch: 31 [15872/46200]	Loss: 0.3057	LR: 0.004000
Training Epoch: 31 [16128/46200]	Loss: 0.3795	LR: 0.004000
Training Epoch: 31 [16384/46200]	Loss: 0.3651	LR: 0.004000
Training Epoch: 31 [16640/46200]	Loss: 0.3700	LR: 0.004000
Training Epoch: 31 [16896/46200]	Loss: 0.3203	LR: 0.004000
Training Epoch: 31 [17152/46200]	Loss: 0.4153	LR: 0.004000
Training Epoch: 31 [17408/46200]	Loss: 0.3586	LR: 0.004000
Training Epoch: 31 [17664/46200]	Loss: 0.3864	LR: 0.004000
Training Epoch: 31 [17920/46200]	Loss: 0.4163	LR: 0.004000
Training Epoch: 31 [18176/46200]	Loss: 0.3927	LR: 0.004000
Training Epoch: 31 [18432/46200]	Loss: 0.3864	LR: 0.004000
Training Epoch: 31 [18688/46200]	Loss: 0.3170	LR: 0.004000
Training Epoch: 31 [18944/46200]	Loss: 0.3665	LR: 0.004000
Training Epoch: 31 [19200/46200]	Loss: 0.3487	LR: 0.004000
Training Epoch: 31 [19456/46200]	Loss: 0.2931	LR: 0.004000
Training Epoch: 31 [19712/46200]	Loss: 0.2869	LR: 0.004000
Training Epoch: 31 [19968/46200]	Loss: 0.3785	LR: 0.004000
Training Epoch: 31 [20224/46200]	Loss: 0.2551	LR: 0.004000
Training Epoch: 31 [20480/46200]	Loss: 0.2900	LR: 0.004000
Training Epoch: 31 [20736/46200]	Loss: 0.3172	LR: 0.004000
Training Epoch: 31 [20992/46200]	Loss: 0.3435	LR: 0.004000
Training Epoch: 31 [21248/46200]	Loss: 0.3880	LR: 0.004000
Training Epoch: 31 [21504/46200]	Loss: 0.4649	LR: 0.004000
Training Epoch: 31 [21760/46200]	Loss: 0.3408	LR: 0.004000
Training Epoch: 31 [22016/46200]	Loss: 0.3765	LR: 0.004000
Training Epoch: 31 [22272/46200]	Loss: 0.4170	LR: 0.004000
Training Epoch: 31 [22528/46200]	Loss: 0.3604	LR: 0.004000
Training Epoch: 31 [22784/46200]	Loss: 0.3778	LR: 0.004000
Training Epoch: 31 [23040/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 31 [23296/46200]	Loss: 0.3982	LR: 0.004000
Training Epoch: 31 [23552/46200]	Loss: 0.3719	LR: 0.004000
Training Epoch: 31 [23808/46200]	Loss: 0.4001	LR: 0.004000
Training Epoch: 31 [24064/46200]	Loss: 0.3310	LR: 0.004000
Training Epoch: 31 [24320/46200]	Loss: 0.3514	LR: 0.004000
Training Epoch: 31 [24576/46200]	Loss: 0.3776	LR: 0.004000
Training Epoch: 31 [24832/46200]	Loss: 0.3911	LR: 0.004000
Training Epoch: 31 [25088/46200]	Loss: 0.3708	LR: 0.004000
Training Epoch: 31 [25344/46200]	Loss: 0.2390	LR: 0.004000
Training Epoch: 31 [25600/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 31 [25856/46200]	Loss: 0.3489	LR: 0.004000
Training Epoch: 31 [26112/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 31 [26368/46200]	Loss: 0.3784	LR: 0.004000
Training Epoch: 31 [26624/46200]	Loss: 0.3435	LR: 0.004000
Training Epoch: 31 [26880/46200]	Loss: 0.3130	LR: 0.004000
Training Epoch: 31 [27136/46200]	Loss: 0.3275	LR: 0.004000
Training Epoch: 31 [27392/46200]	Loss: 0.3370	LR: 0.004000
Training Epoch: 31 [27648/46200]	Loss: 0.2938	LR: 0.004000
Training Epoch: 31 [27904/46200]	Loss: 0.3148	LR: 0.004000
Training Epoch: 31 [28160/46200]	Loss: 0.3619	LR: 0.004000
Training Epoch: 31 [28416/46200]	Loss: 0.3551	LR: 0.004000
Training Epoch: 31 [28672/46200]	Loss: 0.2987	LR: 0.004000
Training Epoch: 31 [28928/46200]	Loss: 0.3288	LR: 0.004000
Training Epoch: 31 [29184/46200]	Loss: 0.3224	LR: 0.004000
Training Epoch: 31 [29440/46200]	Loss: 0.3068	LR: 0.004000
Training Epoch: 31 [29696/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 31 [29952/46200]	Loss: 0.2946	LR: 0.004000
Training Epoch: 31 [30208/46200]	Loss: 0.3162	LR: 0.004000
Training Epoch: 31 [30464/46200]	Loss: 0.3517	LR: 0.004000
Training Epoch: 31 [30720/46200]	Loss: 0.3234	LR: 0.004000
Training Epoch: 31 [30976/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 31 [31232/46200]	Loss: 0.3770	LR: 0.004000
Training Epoch: 31 [31488/46200]	Loss: 0.4698	LR: 0.004000
Training Epoch: 31 [31744/46200]	Loss: 0.3634	LR: 0.004000
Training Epoch: 31 [32000/46200]	Loss: 0.3155	LR: 0.004000
Training Epoch: 31 [32256/46200]	Loss: 0.2850	LR: 0.004000
Training Epoch: 31 [32512/46200]	Loss: 0.3395	LR: 0.004000
Training Epoch: 31 [32768/46200]	Loss: 0.3817	LR: 0.004000
Training Epoch: 31 [33024/46200]	Loss: 0.3266	LR: 0.004000
Training Epoch: 31 [33280/46200]	Loss: 0.3585	LR: 0.004000
Training Epoch: 31 [33536/46200]	Loss: 0.2731	LR: 0.004000
Training Epoch: 31 [33792/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 31 [34048/46200]	Loss: 0.2945	LR: 0.004000
Training Epoch: 31 [34304/46200]	Loss: 0.3561	LR: 0.004000
Training Epoch: 31 [34560/46200]	Loss: 0.3472	LR: 0.004000
Training Epoch: 31 [34816/46200]	Loss: 0.4587	LR: 0.004000
Training Epoch: 31 [35072/46200]	Loss: 0.3085	LR: 0.004000
Training Epoch: 31 [35328/46200]	Loss: 0.4057	LR: 0.004000
Training Epoch: 31 [35584/46200]	Loss: 0.3553	LR: 0.004000
Training Epoch: 31 [35840/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 31 [36096/46200]	Loss: 0.3388	LR: 0.004000
Training Epoch: 31 [36352/46200]	Loss: 0.3382	LR: 0.004000
Training Epoch: 31 [36608/46200]	Loss: 0.3982	LR: 0.004000
Training Epoch: 31 [36864/46200]	Loss: 0.3977	LR: 0.004000
Training Epoch: 31 [37120/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 31 [37376/46200]	Loss: 0.3744	LR: 0.004000
Training Epoch: 31 [37632/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 31 [37888/46200]	Loss: 0.3839	LR: 0.004000
Training Epoch: 31 [38144/46200]	Loss: 0.3757	LR: 0.004000
Training Epoch: 31 [38400/46200]	Loss: 0.3544	LR: 0.004000
Training Epoch: 31 [38656/46200]	Loss: 0.3293	LR: 0.004000
Training Epoch: 31 [38912/46200]	Loss: 0.3723	LR: 0.004000
Training Epoch: 31 [39168/46200]	Loss: 0.3381	LR: 0.004000
Training Epoch: 31 [39424/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 31 [39680/46200]	Loss: 0.2958	LR: 0.004000
Training Epoch: 31 [39936/46200]	Loss: 0.4063	LR: 0.004000
Training Epoch: 31 [40192/46200]	Loss: 0.3750	LR: 0.004000
Training Epoch: 31 [40448/46200]	Loss: 0.3934	LR: 0.004000
Training Epoch: 31 [40704/46200]	Loss: 0.3418	LR: 0.004000
Training Epoch: 31 [40960/46200]	Loss: 0.3146	LR: 0.004000
Training Epoch: 31 [41216/46200]	Loss: 0.4614	LR: 0.004000
Training Epoch: 31 [41472/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 31 [41728/46200]	Loss: 0.4013	LR: 0.004000
Training Epoch: 31 [41984/46200]	Loss: 0.3668	LR: 0.004000
Training Epoch: 31 [42240/46200]	Loss: 0.3552	LR: 0.004000
Training Epoch: 31 [42496/46200]	Loss: 0.3437	LR: 0.004000
Training Epoch: 31 [42752/46200]	Loss: 0.3310	LR: 0.004000
Training Epoch: 31 [43008/46200]	Loss: 0.3337	LR: 0.004000
Training Epoch: 31 [43264/46200]	Loss: 0.4317	LR: 0.004000
Training Epoch: 31 [43520/46200]	Loss: 0.3673	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3132	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.3898	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.3931	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.3092	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.4216	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.3802	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.4118	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.3806	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3226	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3567, Train Accuracy: 0.8892
Epoch 31 training time consumed: 25.01s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7779, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3200	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.2712	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.2835	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3177	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.3300	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.3131	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.3510	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.2761	LR: 0.004000
Training Epoch: 32 [2304/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 32 [2560/46200]	Loss: 0.3298	LR: 0.004000
Training Epoch: 32 [2816/46200]	Loss: 0.3038	LR: 0.004000
Training Epoch: 32 [3072/46200]	Loss: 0.2709	LR: 0.004000
Training Epoch: 32 [3328/46200]	Loss: 0.4063	LR: 0.004000
Training Epoch: 32 [3584/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 32 [3840/46200]	Loss: 0.3186	LR: 0.004000
Training Epoch: 32 [4096/46200]	Loss: 0.3961	LR: 0.004000
Training Epoch: 32 [4352/46200]	Loss: 0.3888	LR: 0.004000
Training Epoch: 32 [4608/46200]	Loss: 0.3585	LR: 0.004000
Training Epoch: 32 [4864/46200]	Loss: 0.2721	LR: 0.004000
Training Epoch: 32 [5120/46200]	Loss: 0.3139	LR: 0.004000
Training Epoch: 32 [5376/46200]	Loss: 0.2933	LR: 0.004000
Training Epoch: 32 [5632/46200]	Loss: 0.3237	LR: 0.004000
Training Epoch: 32 [5888/46200]	Loss: 0.4142	LR: 0.004000
Training Epoch: 32 [6144/46200]	Loss: 0.3221	LR: 0.004000
Training Epoch: 32 [6400/46200]	Loss: 0.3433	LR: 0.004000
Training Epoch: 32 [6656/46200]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [6912/46200]	Loss: 0.3018	LR: 0.004000
Training Epoch: 32 [7168/46200]	Loss: 0.2945	LR: 0.004000
Training Epoch: 32 [7424/46200]	Loss: 0.4847	LR: 0.004000
Training Epoch: 32 [7680/46200]	Loss: 0.3157	LR: 0.004000
Training Epoch: 32 [7936/46200]	Loss: 0.2982	LR: 0.004000
Training Epoch: 32 [8192/46200]	Loss: 0.3485	LR: 0.004000
Training Epoch: 32 [8448/46200]	Loss: 0.3619	LR: 0.004000
Training Epoch: 32 [8704/46200]	Loss: 0.3155	LR: 0.004000
Training Epoch: 32 [8960/46200]	Loss: 0.3822	LR: 0.004000
Training Epoch: 32 [9216/46200]	Loss: 0.3617	LR: 0.004000
Training Epoch: 32 [9472/46200]	Loss: 0.4085	LR: 0.004000
Training Epoch: 32 [9728/46200]	Loss: 0.3142	LR: 0.004000
Training Epoch: 32 [9984/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 32 [10240/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 32 [10496/46200]	Loss: 0.3428	LR: 0.004000
Training Epoch: 32 [10752/46200]	Loss: 0.3733	LR: 0.004000
Training Epoch: 32 [11008/46200]	Loss: 0.3592	LR: 0.004000
Training Epoch: 32 [11264/46200]	Loss: 0.3996	LR: 0.004000
Training Epoch: 32 [11520/46200]	Loss: 0.3457	LR: 0.004000
Training Epoch: 32 [11776/46200]	Loss: 0.3060	LR: 0.004000
Training Epoch: 32 [12032/46200]	Loss: 0.3484	LR: 0.004000
Training Epoch: 32 [12288/46200]	Loss: 0.4022	LR: 0.004000
Training Epoch: 32 [12544/46200]	Loss: 0.3233	LR: 0.004000
Training Epoch: 32 [12800/46200]	Loss: 0.3886	LR: 0.004000
Training Epoch: 32 [13056/46200]	Loss: 0.3101	LR: 0.004000
Training Epoch: 32 [13312/46200]	Loss: 0.3596	LR: 0.004000
Training Epoch: 32 [13568/46200]	Loss: 0.4096	LR: 0.004000
Training Epoch: 32 [13824/46200]	Loss: 0.3664	LR: 0.004000
Training Epoch: 32 [14080/46200]	Loss: 0.3599	LR: 0.004000
Training Epoch: 32 [14336/46200]	Loss: 0.3130	LR: 0.004000
Training Epoch: 32 [14592/46200]	Loss: 0.3250	LR: 0.004000
Training Epoch: 32 [14848/46200]	Loss: 0.3332	LR: 0.004000
Training Epoch: 32 [15104/46200]	Loss: 0.4025	LR: 0.004000
Training Epoch: 32 [15360/46200]	Loss: 0.3192	LR: 0.004000
Training Epoch: 32 [15616/46200]	Loss: 0.3593	LR: 0.004000
Training Epoch: 32 [15872/46200]	Loss: 0.3853	LR: 0.004000
Training Epoch: 32 [16128/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 32 [16384/46200]	Loss: 0.3442	LR: 0.004000
Training Epoch: 32 [16640/46200]	Loss: 0.3100	LR: 0.004000
Training Epoch: 32 [16896/46200]	Loss: 0.4143	LR: 0.004000
Training Epoch: 32 [17152/46200]	Loss: 0.3584	LR: 0.004000
Training Epoch: 32 [17408/46200]	Loss: 0.2835	LR: 0.004000
Training Epoch: 32 [17664/46200]	Loss: 0.3405	LR: 0.004000
Training Epoch: 32 [17920/46200]	Loss: 0.3207	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.3321	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.3245	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.2891	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.3058	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.3318	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.3935	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.2898	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.3533	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3034	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3492	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.3276	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.3126	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.2937	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.3801	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3481	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.4055	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.2786	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.4706	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.3413	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.2411	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3808	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3795	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3528	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.3654	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.2771	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.2306	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.3743	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3265	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.2692	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.3150	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.2986	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.3235	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.3874	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.3460	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.3433	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.3507	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.4264	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.2953	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.3040	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.3668	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.3229	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.4151	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.3922	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.4197	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.4470	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.4035	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3840	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3797	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3111	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.4064	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.3709	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.3320	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.3238	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.2918	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.2553	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.3203	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.3594	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.3627	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.3686	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3797	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.3526	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.3823	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.2531	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.3190	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3039	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.3776	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.2916	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.2726	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.3527	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3504	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.3075	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.3191	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.4044	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.3849	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.3078	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.4217	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.3058	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.3447	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.4075	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.3408	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.3115	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.3049	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3330	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3199	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.4577	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3373	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.3873	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.4036	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.3500	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3049	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.3348	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.3789	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3436, Train Accuracy: 0.8939
Epoch 32 training time consumed: 25.00s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7820, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.4117	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.3160	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.2867	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.3622	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3241	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.2881	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.2993	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.3311	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.3178	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.2880	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.4096	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.3357	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.2641	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.3363	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.3365	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.3679	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.3049	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.3790	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.2979	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.3239	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.2947	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.2950	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3733	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.2679	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.3357	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3134	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.2549	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.3372	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3693	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.3240	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.3760	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.3033	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.3441	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.2738	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.3924	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.2994	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.3533	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.3758	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.4079	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.3553	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3186	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3350	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.2360	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.2952	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.2827	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.3211	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.3480	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.3765	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.3173	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.2892	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.3656	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.3482	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.2557	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.3970	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.3403	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.3146	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.2855	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.3592	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.2796	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.3440	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.3447	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.3838	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.2959	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3161	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.3351	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.2935	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.3396	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.3630	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.2606	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.4016	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.2933	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.3732	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.3335	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.3131	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.3812	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.3065	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.3764	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.2985	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.3859	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.4309	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.3094	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.3056	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.3399	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3235	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.3680	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.3767	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.2701	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.4296	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.3921	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.3799	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3432	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.2952	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.4058	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.3194	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.3209	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3500	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.3905	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.2652	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.3099	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.3736	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3821	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.2702	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.3231	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.2667	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.4061	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.3547	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.3267	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.3211	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.2668	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.3913	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.3715	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.2804	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.2997	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.3556	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3580	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.3241	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.3163	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.3250	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.2704	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.3125	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.2564	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3659	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.3590	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.3245	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.2791	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.3734	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.3192	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.3597	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.3517	LR: 0.004000
Training Epoch: 33 [41984/46200]	Loss: 0.3432	LR: 0.004000
Training Epoch: 33 [42240/46200]	Loss: 0.3905	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 33 [42752/46200]	Loss: 0.3585	LR: 0.004000
Training Epoch: 33 [43008/46200]	Loss: 0.2865	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.2931	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.2886	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.4115	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.3312	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.3343	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.3198	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.3432	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.3222	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.3269	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.3463	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3542	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3344, Train Accuracy: 0.8981
Epoch 33 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7789, Time consumed:0.87s
Training Epoch: 34 [256/46200]	Loss: 0.3097	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.3116	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.2785	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.3029	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.3820	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.2553	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.3719	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.3496	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.3164	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.2919	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.2945	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.2970	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.3037	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.3454	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.2740	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.3451	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.2821	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.2891	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.3076	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.2849	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.3099	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.3262	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.3415	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.3654	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.3447	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.2337	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.3798	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.2832	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.2907	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.3735	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.3588	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.2569	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.2973	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.3663	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.2832	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.2528	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.2734	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.2963	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.3552	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.2927	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.3362	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.3228	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.2566	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.2772	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.2794	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.3285	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.3377	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.2447	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.4356	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.2717	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.2950	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.3788	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.3061	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.3460	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.2733	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.3353	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.2887	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.3217	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.3155	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.2920	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.2440	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.3816	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.3567	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.2523	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.3214	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.3687	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.2759	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.2372	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.3036	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.2493	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.2973	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.2988	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.3929	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.3315	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.2849	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.3338	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.3183	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.3636	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.3882	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.3337	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.2991	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.3064	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.3278	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.2471	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.3615	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.2853	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.2488	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.3029	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.3902	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.2896	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.3550	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.3469	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.3082	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.3489	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.3283	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.3220	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.3028	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.2832	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.2780	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.4120	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.3722	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.3342	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.2742	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.2570	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.2774	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.4198	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.3785	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.3289	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.2978	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.3379	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.2682	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.3185	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.2704	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.2859	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.3232	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.2892	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.3818	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.3109	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.2988	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.2769	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.2828	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.3136	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.2719	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.3456	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.3894	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.3687	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.3335	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.3815	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.3376	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.3611	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.2780	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.3182	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.3022	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.3553	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.3331	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.3040	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.3857	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.3530	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.3016	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.3480	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.3564	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.2762	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.3199	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.3689	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.2869	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.3075	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.3073	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.2695	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.4225	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.3155	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.3252	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.2696	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.3287	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.3200	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.3372	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.3604	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.4443	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3216, Train Accuracy: 0.9026
Epoch 34 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7812, Time consumed:0.89s
Training Epoch: 35 [256/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.3198	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.3152	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.3325	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.3128	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.2490	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.2310	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.3553	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.3427	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.2580	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.3129	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.2537	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.3600	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.4222	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.2572	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.3130	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.2550	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.2908	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.2678	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.3102	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.2934	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.3367	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.3277	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.3452	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.3026	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.2440	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.3030	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.3627	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.2477	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.2433	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.3153	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.2964	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.3229	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.2161	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.3222	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.2614	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.2518	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.2073	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.2387	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.3139	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.3189	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.3262	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.3581	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.3308	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.3258	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.2412	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.3111	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.3681	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.2587	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.3324	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.2557	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.3022	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.4057	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.3217	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.3885	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.2894	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.3355	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.3153	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.2795	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.3396	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.3378	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.2418	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.2589	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.3037	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 35 [30464/46200]	Loss: 0.2699	LR: 0.000800
Training Epoch: 35 [30720/46200]	Loss: 0.3450	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.2973	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.2972	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.3877	LR: 0.000800
Training Epoch: 35 [32000/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 35 [32256/46200]	Loss: 0.2362	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.2593	LR: 0.000800
Training Epoch: 35 [32768/46200]	Loss: 0.3416	LR: 0.000800
Training Epoch: 35 [33024/46200]	Loss: 0.3614	LR: 0.000800
Training Epoch: 35 [33280/46200]	Loss: 0.3519	LR: 0.000800
Training Epoch: 35 [33536/46200]	Loss: 0.2764	LR: 0.000800
Training Epoch: 35 [33792/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 35 [34048/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 35 [34304/46200]	Loss: 0.3557	LR: 0.000800
Training Epoch: 35 [34560/46200]	Loss: 0.2606	LR: 0.000800
Training Epoch: 35 [34816/46200]	Loss: 0.2406	LR: 0.000800
Training Epoch: 35 [35072/46200]	Loss: 0.3783	LR: 0.000800
Training Epoch: 35 [35328/46200]	Loss: 0.2306	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.2706	LR: 0.000800
Training Epoch: 35 [35840/46200]	Loss: 0.3246	LR: 0.000800
Training Epoch: 35 [36096/46200]	Loss: 0.3777	LR: 0.000800
Training Epoch: 35 [36352/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 35 [36608/46200]	Loss: 0.2930	LR: 0.000800
Training Epoch: 35 [36864/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 35 [37120/46200]	Loss: 0.2398	LR: 0.000800
Training Epoch: 35 [37376/46200]	Loss: 0.2918	LR: 0.000800
Training Epoch: 35 [37632/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 35 [37888/46200]	Loss: 0.2433	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.2946	LR: 0.000800
Training Epoch: 35 [38400/46200]	Loss: 0.2775	LR: 0.000800
Training Epoch: 35 [38656/46200]	Loss: 0.2357	LR: 0.000800
Training Epoch: 35 [38912/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 35 [39168/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 35 [39424/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.2170	LR: 0.000800
Training Epoch: 35 [39936/46200]	Loss: 0.3314	LR: 0.000800
Training Epoch: 35 [40192/46200]	Loss: 0.2747	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.3436	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.2916	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.3422	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.2061	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.3022	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2445	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.2696	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3557	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.3056	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.3070	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.3384	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.3244	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.2753	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.3471	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.3399	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2967, Train Accuracy: 0.9116
Epoch 35 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7831, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.3242	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.3434	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2486	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.3417	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.3379	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.2969	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.3307	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.2933	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.3713	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.2625	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.2092	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.2411	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.3300	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.2167	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.2580	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.2650	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.3428	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.3246	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 36 [8192/46200]	Loss: 0.2671	LR: 0.000800
Training Epoch: 36 [8448/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 36 [8704/46200]	Loss: 0.3052	LR: 0.000800
Training Epoch: 36 [8960/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.2299	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.3585	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.3045	LR: 0.000800
Training Epoch: 36 [10496/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 36 [10752/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.2487	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.3023	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.2720	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.3454	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.3201	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.3309	LR: 0.000800
Training Epoch: 36 [13056/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 36 [13312/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 36 [13568/46200]	Loss: 0.3236	LR: 0.000800
Training Epoch: 36 [13824/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 36 [14080/46200]	Loss: 0.2375	LR: 0.000800
Training Epoch: 36 [14336/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 36 [14592/46200]	Loss: 0.3967	LR: 0.000800
Training Epoch: 36 [14848/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 36 [15104/46200]	Loss: 0.2808	LR: 0.000800
Training Epoch: 36 [15360/46200]	Loss: 0.3002	LR: 0.000800
Training Epoch: 36 [15616/46200]	Loss: 0.3529	LR: 0.000800
Training Epoch: 36 [15872/46200]	Loss: 0.2784	LR: 0.000800
Training Epoch: 36 [16128/46200]	Loss: 0.3369	LR: 0.000800
Training Epoch: 36 [16384/46200]	Loss: 0.3264	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.2726	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.3869	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 36 [17664/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 36 [17920/46200]	Loss: 0.2531	LR: 0.000800
Training Epoch: 36 [18176/46200]	Loss: 0.3247	LR: 0.000800
Training Epoch: 36 [18432/46200]	Loss: 0.2935	LR: 0.000800
Training Epoch: 36 [18688/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 36 [18944/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.3339	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.3347	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.3063	LR: 0.000800
Training Epoch: 36 [20224/46200]	Loss: 0.3378	LR: 0.000800
Training Epoch: 36 [20480/46200]	Loss: 0.2820	LR: 0.000800
Training Epoch: 36 [20736/46200]	Loss: 0.3401	LR: 0.000800
Training Epoch: 36 [20992/46200]	Loss: 0.3315	LR: 0.000800
Training Epoch: 36 [21248/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 36 [21504/46200]	Loss: 0.2614	LR: 0.000800
Training Epoch: 36 [21760/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 36 [22016/46200]	Loss: 0.3691	LR: 0.000800
Training Epoch: 36 [22272/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 36 [22528/46200]	Loss: 0.2794	LR: 0.000800
Training Epoch: 36 [22784/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 36 [23040/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 36 [23296/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 36 [23552/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 36 [23808/46200]	Loss: 0.2611	LR: 0.000800
Training Epoch: 36 [24064/46200]	Loss: 0.3639	LR: 0.000800
Training Epoch: 36 [24320/46200]	Loss: 0.3700	LR: 0.000800
Training Epoch: 36 [24576/46200]	Loss: 0.2384	LR: 0.000800
Training Epoch: 36 [24832/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 36 [25088/46200]	Loss: 0.2573	LR: 0.000800
Training Epoch: 36 [25344/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 36 [25600/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.2473	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.3080	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.3089	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.2442	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.3260	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.3123	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.2683	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.2134	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.2411	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.2608	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.2874	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.3520	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.3240	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.3102	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.2839	LR: 0.000800
Training Epoch: 36 [31744/46200]	Loss: 0.2555	LR: 0.000800
Training Epoch: 36 [32000/46200]	Loss: 0.2964	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.3315	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 36 [33024/46200]	Loss: 0.2214	LR: 0.000800
Training Epoch: 36 [33280/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 36 [33536/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 36 [33792/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 36 [34048/46200]	Loss: 0.2689	LR: 0.000800
Training Epoch: 36 [34304/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 36 [34560/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 36 [34816/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 36 [35072/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 36 [35328/46200]	Loss: 0.2581	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.3396	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.3249	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.3312	LR: 0.000800
Training Epoch: 36 [37376/46200]	Loss: 0.2211	LR: 0.000800
Training Epoch: 36 [37632/46200]	Loss: 0.2833	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.2379	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.2838	LR: 0.000800
Training Epoch: 36 [38400/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 36 [38656/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 36 [38912/46200]	Loss: 0.3173	LR: 0.000800
Training Epoch: 36 [39168/46200]	Loss: 0.3220	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.3078	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.2613	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.2315	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.2538	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.2681	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.3212	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.2599	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.2345	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.2370	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.3317	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.3612	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.3013	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.2646	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.2606	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.3164	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3452	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.2554	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.2964	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.3584	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.2854	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.3173	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2936, Train Accuracy: 0.9124
Epoch 36 training time consumed: 24.91s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7846, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_56m_37s/AllCNN-Cifar20-seed9-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.2876	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.3402	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2636	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.3276	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.3768	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.2485	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.2584	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.3323	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.3193	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.2418	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3472	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.2846	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.1912	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.2767	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.3126	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.2479	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.3532	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.2048	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.2412	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.3159	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.2770	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.2660	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.3536	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.2377	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.3255	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.3056	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.2322	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.2635	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.2910	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.2685	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.3434	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.3502	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.3111	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.2532	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.2932	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.2091	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.2809	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.3103	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.2568	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.3066	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.3520	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.2744	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.3495	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.2750	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.3093	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.2919	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.2603	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.3592	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.3438	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.3255	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.3260	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.2748	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.3474	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.2628	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.2928	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.2585	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.3626	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.3334	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.2773	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.3022	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.2328	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.2451	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.2896	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.3540	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.3676	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.2465	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.2908	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.2741	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.2224	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.2828	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.3620	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.3584	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.2463	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.2732	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.3908	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.2404	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.2284	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.2514	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.2673	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.2976	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.2761	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.2584	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.2799	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.3327	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.2529	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.3516	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.3275	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.2447	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.2870	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.2934	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.2774	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.2579	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.3508	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.3194	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.2877	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.2092	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.2530	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.2693	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.3310	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.2672	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.3212	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.3613	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.2531	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.3074	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.2905	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.2307	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.3075	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.3241	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.2834	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2912, Train Accuracy: 0.9126
Epoch 37 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7816, Time consumed:0.91s
Training Epoch: 38 [256/46200]	Loss: 0.2648	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.2540	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.2518	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.3686	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.2688	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.2592	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.3203	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.2869	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.3001	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.3259	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.2307	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.2392	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.2912	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.3315	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.2039	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.3853	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.3445	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.3530	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.2522	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.3067	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.3523	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.3249	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.2478	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.3766	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.2378	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.3239	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.2146	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.3352	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.2609	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.2593	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.2506	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.3749	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.2229	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.3590	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.2735	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.2376	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.3023	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.2703	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.3364	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.2809	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.2431	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.2856	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.2414	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.2646	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.2923	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.2738	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.2378	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.2333	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.2469	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.2154	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.3756	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.2900	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.2601	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.3860	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.2888	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.2413	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.2416	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.3540	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.2115	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.2904	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.2860	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.2833	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.2477	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.3477	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.3201	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.3245	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.2336	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.2587	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.3022	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.3262	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.2460	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.2547	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.2773	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.3405	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.3176	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.3248	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.2795	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.2484	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.3675	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.2898	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.3075	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.3181	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.3726	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.2361	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.2462	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.2159	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.2387	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.3144	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.3112	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.3241	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.2912	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.3181	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.2965	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.2350	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.2384	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.3532	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.2575	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.3063	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.2383	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.2965	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.3758	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.2439	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.3781	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.2731	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.3222	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.4099	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.2222	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2635	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.2247	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.3410	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.2450	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.2649	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.2339	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2496	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.2537	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.2742	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2615	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.3408	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.3423	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.4037	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2881, Train Accuracy: 0.9142
Epoch 38 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7839, Time consumed:0.85s
Training Epoch: 39 [256/46200]	Loss: 0.3464	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.2565	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.2479	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.2550	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.2748	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.2463	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.3190	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.3440	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.2199	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.2669	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.2583	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.2488	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.2685	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.2534	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.2536	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.2161	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.2082	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.2892	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.2676	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.2404	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.2235	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.3538	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.3257	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.3171	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2701	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.2554	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1816	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.2627	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.2393	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.3363	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.2951	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.3275	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.3259	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.2543	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.2815	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.2946	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.3444	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.2076	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.2942	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.2498	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.2560	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.2488	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.2626	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.3410	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.3240	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.3058	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.3179	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.3004	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.2588	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.3169	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.2724	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.2846	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.3531	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.3342	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.2184	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2869	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.2849	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.3512	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.3157	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.2026	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.3284	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.2173	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.3299	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.3553	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.3425	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.3543	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.2942	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.2527	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.2598	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2661	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.3722	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.2894	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.2240	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.3248	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.2726	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.3390	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.2599	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.3283	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.3064	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.3041	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.2676	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2976	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.2564	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.2893	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.2359	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.3571	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.3653	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.2992	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.2351	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.2801	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.3544	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.3381	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.2191	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.2412	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.2149	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.2930	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.3508	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.2799	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.2396	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.4138	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.2979	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.2260	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2545	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.2638	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.2692	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.2816	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.2502	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.2523	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.2660	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2845, Train Accuracy: 0.9159
Epoch 39 training time consumed: 25.02s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7840, Time consumed:0.90s
Training Epoch: 40 [256/46200]	Loss: 0.2256	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2678	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.2979	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.2479	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.2605	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.2072	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.2940	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.3148	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.3358	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.2480	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.2327	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.3210	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.2472	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.3264	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.2419	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.2968	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.3790	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.2622	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.3291	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.3692	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.2715	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.2229	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.3215	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.3210	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.2638	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.2142	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.2459	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.3614	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.2828	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.2356	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.3193	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.2799	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.2304	LR: 0.000800
Training Epoch: 40 [14336/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [14592/46200]	Loss: 0.2411	LR: 0.000800
Training Epoch: 40 [14848/46200]	Loss: 0.3827	LR: 0.000800
Training Epoch: 40 [15104/46200]	Loss: 0.2787	LR: 0.000800
Training Epoch: 40 [15360/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.2112	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 40 [16384/46200]	Loss: 0.3412	LR: 0.000800
Training Epoch: 40 [16640/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 40 [17152/46200]	Loss: 0.3214	LR: 0.000800
Training Epoch: 40 [17408/46200]	Loss: 0.2309	LR: 0.000800
Training Epoch: 40 [17664/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.3229	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.2583	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.3480	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.3227	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.2565	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.2322	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.3329	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.2606	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.2922	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.2773	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.2471	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.3439	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.2893	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.2527	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.3602	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.3404	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.3382	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.1955	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.2573	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.3350	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.3025	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.2409	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.2071	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.2384	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.2266	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.3157	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.3103	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.2345	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.2849	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.2478	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.2939	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.2308	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.2292	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.3040	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.3769	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.2342	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.2486	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.2321	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.3363	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.2397	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.3770	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.2169	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.3104	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.2750	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.2929	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.2629	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.3389	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.3215	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.2858	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.2691	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.2644	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.2605	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.2122	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.3287	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.2792	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.3427	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.3522	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2973	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.3588	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.3655	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1954	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2912	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2336	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.2634	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.2403	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.3050	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.2702	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2845, Train Accuracy: 0.9165
Epoch 40 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7835, Time consumed:0.86s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46200
Forget Train Dl:  3800
Retain Valid Dl:  46200
Forget Valid Dl:  3800
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.564453125
Retain Accuracy: 92.37137603759766
Zero-Retain Forget (ZRF): 0.913805365562439
Membership Inference Attack (MIA): 0.49526315789473685
Forget vs Retain Membership Inference Attack (MIA): 0.5375
Forget vs Test Membership Inference Attack (MIA): 0.5473684210526316
Test vs Retain Membership Inference Attack (MIA): 0.492
Train vs Test Membership Inference Attack (MIA): 0.55775
Forget Set Accuracy (Df): 76.29629516601562
Method Execution Time: 1540.26 seconds
