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

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

📊 Updated class distribution:
Retain set:
  Class 0: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.0039	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0039	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0336	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0014	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 2.9945	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 2.9896	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9932	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9951	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9961	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9751	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9462	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9488	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8887	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9125	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8989	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8991	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8588	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8825	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8698	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8339	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8571	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.8270	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7943	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7970	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7414	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7447	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7949	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7207	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7286	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7530	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.7245	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7001	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.6962	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.7706	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.6867	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6331	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6346	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6409	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6949	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.7054	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6523	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5744	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.5720	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5682	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.5134	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5224	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5303	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5049	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5623	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5647	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5367	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.4895	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4909	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.4483	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6438	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.4788	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5004	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.4696	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5552	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.4528	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5208	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.4618	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4870	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.4572	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.4378	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.4088	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5482	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.4576	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5214	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.4343	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4381	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5435	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.6032	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5170	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.4982	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.5572	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4320	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5068	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4343	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4008	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.4847	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5930	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5227	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4490	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4158	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4338	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5065	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.3906	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.3494	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.4780	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4945	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4900	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5781	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.4241	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4737	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4248	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.2418	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4529	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4697	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.5166	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.3955	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4184	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3159	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.3675	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4903	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.2558	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4545	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4903	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4879	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.5292	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4053	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.5566	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5003	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3781	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.4206	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4565	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.3450	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4097	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4481	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4945	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4671	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4388	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.3750	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4826	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3617	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4820	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4407	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3411	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4677	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4347	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3693	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4134	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4018	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4300	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.2977	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4427	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3292	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.2859	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3101	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4531	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3488	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3256	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3409	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3093	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.4274	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4023	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.2550	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3144	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3620	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.4291	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4364	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.3404	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3125	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3854	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.2838	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.4500	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4016	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2976	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3663	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.2906	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3452	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.2868	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.2696	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2609	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3024	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3680	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.3342	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4168	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3327	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4086	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3879	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3843	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.2284	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3156	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.4457	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.2663	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.4185	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.3247	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.2599	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3482	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.4618	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5192, Train Accuracy: 0.2189
Epoch 1 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0097, Accuracy: 0.2530, Time consumed:1.28s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.5001	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4318	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3239	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.4229	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3840	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.3878	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.4026	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2411	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.3510	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1800, Train Accuracy: 0.3220
Epoch 2 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0087, Accuracy: 0.3217, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8219	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9465, Train Accuracy: 0.3929
Epoch 3 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0082, Accuracy: 0.3829, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.7729	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.6755	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7749, Train Accuracy: 0.4424
Epoch 4 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0079, Accuracy: 0.4140, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.7964	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6139, Train Accuracy: 0.4904
Epoch 5 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0078, Accuracy: 0.4275, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-5-best.pth
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Training Epoch: 6 [46080/46200]	Loss: 1.2640	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.5502	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4860, Train Accuracy: 0.5287
Epoch 6 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0063, Accuracy: 0.5241, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3659	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.3460	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3756, Train Accuracy: 0.5625
Epoch 7 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0063, Accuracy: 0.5152, Time consumed:0.87s
Training Epoch: 8 [256/46200]	Loss: 1.2578	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2877, Train Accuracy: 0.5876
Epoch 8 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0063, Accuracy: 0.5339, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.1331	LR: 0.100000
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Epoch 9 - Average Train Loss: 1.2176, Train Accuracy: 0.6115
Epoch 9 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0059, Accuracy: 0.5578, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.2157	LR: 0.100000
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Training Epoch: 10 [8448/46200]	Loss: 1.1948	LR: 0.100000
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Training Epoch: 10 [18176/46200]	Loss: 1.1901	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.1379	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 1.0314	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1908	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.2357	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1337	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.0971	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.2218	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.2508	LR: 0.100000
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Training Epoch: 10 [20736/46200]	Loss: 1.2087	LR: 0.100000
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Training Epoch: 10 [22016/46200]	Loss: 1.1960	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.3673	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.0950	LR: 0.100000
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Training Epoch: 10 [23040/46200]	Loss: 1.1327	LR: 0.100000
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Training Epoch: 10 [24832/46200]	Loss: 1.0906	LR: 0.100000
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Training Epoch: 10 [25344/46200]	Loss: 1.1763	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.1086	LR: 0.100000
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Training Epoch: 10 [27904/46200]	Loss: 1.3482	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.1622	LR: 0.100000
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Training Epoch: 10 [28928/46200]	Loss: 1.1746	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.0882	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.2422	LR: 0.100000
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Training Epoch: 10 [30464/46200]	Loss: 1.1071	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.0427	LR: 0.100000
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Training Epoch: 10 [33024/46200]	Loss: 1.2519	LR: 0.100000
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Training Epoch: 10 [33792/46200]	Loss: 1.1803	LR: 0.100000
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Training Epoch: 10 [34560/46200]	Loss: 1.1284	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 1.3787	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.2098	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 1.0544	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.1761	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.0670	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.0154	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.2491	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.2178	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 1.2096	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.2204	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.2535	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.1095	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.1571	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.0798	LR: 0.100000
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Training Epoch: 10 [38656/46200]	Loss: 1.1281	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 1.2397	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1843	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.3929	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.0471	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.0795	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0910	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.0802	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.2728	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.1738	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.0305	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.3538	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.1023	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.3217	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.3354	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.2647	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.1240	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.1599	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.1089	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.1539	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.1996	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.2007	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.0946	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.1599	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.0712	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.2137	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.0488	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 0.9953	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.1597	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1444	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.1399	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1663, Train Accuracy: 0.6276
Epoch 10 training time consumed: 25.34s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0059, Accuracy: 0.5511, Time consumed:0.83s
Training Epoch: 11 [256/46200]	Loss: 1.1017	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.1227	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 1.1303	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.2056	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 1.1582	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.0855	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.0323	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 1.1135	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.1979	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.2476	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.1180	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 1.1076	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 1.2075	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 1.0012	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 1.0498	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 1.1748	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 1.1950	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 1.1614	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 1.1499	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.1211	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.1279	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.0301	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.1021	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 1.1827	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.1275	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 1.0204	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.1805	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 1.1105	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.1257	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.1930	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 1.0938	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 0.9462	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.1443	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 1.0823	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.1205	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.0022	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.2645	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 1.0627	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.2194	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.0184	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 1.2113	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 1.2676	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 0.8995	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.0628	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 1.1241	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 1.1350	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 1.1822	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.1877	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 1.1610	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.2340	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 1.1331	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 0.8646	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.2003	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.1702	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.0056	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.0307	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 1.0844	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.1156	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 1.0428	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 0.9084	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.0461	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.2421	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 0.9575	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.0910	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0911	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.1023	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.0709	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 0.9826	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 1.0815	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.0473	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.0792	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.1362	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.1300	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.1552	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.2012	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 1.2398	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 1.1574	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.1019	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.2123	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.1277	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 0.9712	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 1.1248	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 0.9699	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 0.9924	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 1.1220	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 1.1999	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 1.0794	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.1229	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 1.2280	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 1.1207	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.1150	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.0731	LR: 0.100000
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Training Epoch: 11 [24320/46200]	Loss: 1.0249	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.0205	LR: 0.100000
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Training Epoch: 11 [25344/46200]	Loss: 1.1755	LR: 0.100000
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Training Epoch: 11 [25856/46200]	Loss: 1.1094	LR: 0.100000
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Training Epoch: 11 [26368/46200]	Loss: 1.1402	LR: 0.100000
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Training Epoch: 11 [26880/46200]	Loss: 1.1167	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 0.9908	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.2054	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.2086	LR: 0.100000
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Training Epoch: 11 [28928/46200]	Loss: 0.9382	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 1.0222	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.1501	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 1.1857	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 1.2283	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 1.0567	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.2293	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 1.0972	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 1.3214	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 1.2490	LR: 0.100000
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Training Epoch: 11 [31744/46200]	Loss: 1.1584	LR: 0.100000
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Training Epoch: 11 [32256/46200]	Loss: 1.1526	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.3371	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.1389	LR: 0.100000
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Training Epoch: 11 [33536/46200]	Loss: 1.1809	LR: 0.100000
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Training Epoch: 11 [34304/46200]	Loss: 1.0933	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 1.0774	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 1.0406	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.1889	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 1.2471	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 1.2366	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.1819	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.2589	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 1.1238	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.0784	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.3144	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.1768	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.1106	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0762	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.1069	LR: 0.100000
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Training Epoch: 11 [46200/46200]	Loss: 0.9750	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1195, Train Accuracy: 0.6419
Epoch 11 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0055, Accuracy: 0.5735, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 1.1096	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 1.1084	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0780, Train Accuracy: 0.6543
Epoch 12 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0063, Accuracy: 0.5350, Time consumed:0.84s
Training Epoch: 13 [256/46200]	Loss: 1.1412	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.9966	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0458, Train Accuracy: 0.6650
Epoch 13 training time consumed: 25.33s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0062, Accuracy: 0.5542, Time consumed:0.94s
Training Epoch: 14 [256/46200]	Loss: 1.0386	LR: 0.100000
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Training Epoch: 14 [46080/46200]	Loss: 1.1166	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 1.2147	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0192, Train Accuracy: 0.6743
Epoch 14 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0053, Accuracy: 0.6088, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.9296	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6770	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7796, Train Accuracy: 0.7519
Epoch 15 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7251, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.6625	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7104, Train Accuracy: 0.7736
Epoch 16 training time consumed: 25.32s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0035, Accuracy: 0.7264, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.7351	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.6188	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6723, Train Accuracy: 0.7855
Epoch 17 training time consumed: 25.30s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7384, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.7118	LR: 0.020000
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Training Epoch: 18 [9216/46200]	Loss: 0.5564	LR: 0.020000
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Training Epoch: 18 [9728/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.6723	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.7208	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.6643	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.5969	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.6691	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.6377	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.6725	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.7467	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5381	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.6802	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.6649	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.6186	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.6405	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.6668	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.7380	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.6367	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.7651	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.7250	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.6688	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.6858	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.6550	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.6952	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6805	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.7227	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.6642	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.6675	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.8052	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.7245	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.7821	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.6885	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.6241	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.6490	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.5773	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.6071	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.6477	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.7564	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.6626	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.6759	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.7149	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.6745	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.6730	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.6575	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.6639	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.6805	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.7426	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.6386	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.6308	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.6718	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.6713	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.6578	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.6565	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.7941	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.6604	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.5912	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.7146	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.6607	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.6694	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.7016	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.6976	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.7669	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.5995	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.6592	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.6589	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.6823	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.7286	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.7023	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.6774	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.7316	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6545	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.6925	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.6898	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.7075	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.7576	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.7259	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.8112	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.6309	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.7215	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.7467	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.6123	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.7275	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.6595	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.6406	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.7630	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.7042	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.6819	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.7732	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.6439	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6477, Train Accuracy: 0.7922
Epoch 18 training time consumed: 25.36s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0036, Accuracy: 0.7255, Time consumed:0.86s
Training Epoch: 19 [256/46200]	Loss: 0.5196	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.6226	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.7499	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.7409	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.6492	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.7259	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.6805	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.5864	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.5286	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.7302	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.6645	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.6090	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.6686	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.6390	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.6856	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.6221	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.7003	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.6519	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.6739	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.7066	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.5912	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5931	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.6547	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.6078	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.6258	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6735	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.7457	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.7640	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.6548	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.6822	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5888	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.7864	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.6897	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.6858	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.6518	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.5923	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.6849	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.6621	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.8089	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.6874	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.6681	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.6212	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.6980	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.7650	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.6833	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.7331	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.6060	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.7066	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.6285	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.6419	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.7170	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.5987	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.6185	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.6397	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.5715	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.6756	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.6863	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.7370	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.6724	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.6691	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.6848	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6516	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.6420	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.7092	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.6641	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.6900	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.6414	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.6688	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.7552	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.6461	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.6177	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.5903	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.6359	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.6318	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.7759	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.7119	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.6933	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6333, Train Accuracy: 0.7973
Epoch 19 training time consumed: 25.70s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7454, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.6395	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.5931	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6141, Train Accuracy: 0.8011
Epoch 20 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7395, Time consumed:0.87s
Training Epoch: 21 [256/46200]	Loss: 0.4493	LR: 0.020000
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Training Epoch: 21 [16896/46200]	Loss: 0.7152	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.6781	LR: 0.020000
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Training Epoch: 21 [18176/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.6404	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.6537	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.6677	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.7476	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.7051	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5170	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.6391	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.5551	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6473	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.7128	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.6285	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.6051	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.5679	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.6780	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.6174	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.6616	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.6794	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6078	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.6394	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.6749	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.6437	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.6756	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.6105	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.6261	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.6557	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6489	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.6388	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.5851	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.6386	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.6796	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.5738	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.6129	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.6778	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.6772	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.6413	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.6284	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.7679	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.6497	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6074	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.6431	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.6667	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.6306	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.6130	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.6217	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.6706	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.6615	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.5946	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.7177	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5960	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5987, Train Accuracy: 0.8060
Epoch 21 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7367, Time consumed:0.87s
Training Epoch: 22 [256/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.6740	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.5679	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4852	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.5881	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5861	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.6039	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.6350	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.5870	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.6932	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.6816	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.7195	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.5127	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.5839	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.7181	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.6134	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.6166	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.6092	LR: 0.020000
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Training Epoch: 22 [15360/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.7199	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5781	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.6597	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.5781	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.6626	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4612	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.6048	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.6027	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.5703	LR: 0.020000
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Training Epoch: 22 [21248/46200]	Loss: 0.6014	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.6331	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.7047	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5856	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.6041	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.6559	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.5959	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.6403	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.6651	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.7361	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.7833	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.6006	LR: 0.020000
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Training Epoch: 22 [32000/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.5705	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5280	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.6832	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.6468	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.5557	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.6983	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5833	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.7793	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.5977	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.7048	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.6518	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.6944	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.5462	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.7002	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.5978	LR: 0.020000
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Training Epoch: 22 [41728/46200]	Loss: 0.6458	LR: 0.020000
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Training Epoch: 22 [42496/46200]	Loss: 0.5647	LR: 0.020000
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Training Epoch: 22 [43264/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.5773	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.7149	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4336	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.6990	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.6493	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.6326	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.6697	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.5628	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5869, Train Accuracy: 0.8105
Epoch 22 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0034, Accuracy: 0.7398, Time consumed:0.87s
Training Epoch: 23 [256/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5818	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.5243	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.5359	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.6373	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.6469	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.6447	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.6336	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.5021	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.6945	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.4580	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.6899	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.5840	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.5741	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5462	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.6512	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.5475	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.5750	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.6713	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.5629	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.6725	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.5968	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.6824	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.5421	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5992	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5512	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.5995	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4876	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.6590	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.6450	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.5629	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.6105	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.5455	LR: 0.020000
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Training Epoch: 23 [26624/46200]	Loss: 0.4950	LR: 0.020000
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Training Epoch: 23 [27648/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.5686	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.6090	LR: 0.020000
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Training Epoch: 23 [30464/46200]	Loss: 0.7096	LR: 0.020000
Training Epoch: 23 [30720/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 23 [30976/46200]	Loss: 0.6189	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.7539	LR: 0.020000
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Training Epoch: 23 [35072/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.6084	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.5831	LR: 0.020000
Training Epoch: 23 [35840/46200]	Loss: 0.6835	LR: 0.020000
Training Epoch: 23 [36096/46200]	Loss: 0.5892	LR: 0.020000
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Training Epoch: 23 [36608/46200]	Loss: 0.5238	LR: 0.020000
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Training Epoch: 23 [37120/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 23 [37376/46200]	Loss: 0.7255	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.6867	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.5521	LR: 0.020000
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Training Epoch: 23 [39936/46200]	Loss: 0.7039	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.6167	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.7905	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5819	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.6399	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.5873	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.6312	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.6120	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.5462	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.6269	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.5697	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.6517	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.5551	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5423	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5706, Train Accuracy: 0.8144
Epoch 23 training time consumed: 25.33s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0037, Accuracy: 0.7220, Time consumed:0.85s
Training Epoch: 24 [256/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4912	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.6655	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.6473	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.6509	LR: 0.020000
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Training Epoch: 24 [9984/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.5565	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.4916	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.4866	LR: 0.020000
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Training Epoch: 24 [12544/46200]	Loss: 0.4784	LR: 0.020000
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Training Epoch: 24 [13568/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 24 [13824/46200]	Loss: 0.4848	LR: 0.020000
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Training Epoch: 24 [15360/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.5024	LR: 0.020000
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Training Epoch: 24 [16128/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.6150	LR: 0.020000
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Training Epoch: 24 [17408/46200]	Loss: 0.5372	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.4762	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.6349	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5676	LR: 0.020000
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Training Epoch: 24 [20736/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.5794	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.5041	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.5704	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.5845	LR: 0.020000
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Training Epoch: 24 [23808/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.6177	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.7017	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4736	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5937	LR: 0.020000
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Training Epoch: 24 [25600/46200]	Loss: 0.5783	LR: 0.020000
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Training Epoch: 24 [26880/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.6859	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.6169	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.7047	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.6448	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.5744	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.5529	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.5546	LR: 0.020000
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Training Epoch: 24 [40192/46200]	Loss: 0.7191	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.5426	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.6584	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.5717	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.6427	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.6617	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.7016	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.6017	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.5150	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5612, Train Accuracy: 0.8184
Epoch 24 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7402, Time consumed:0.86s
Training Epoch: 25 [256/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.4893	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.4552	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.6027	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.6211	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.5923	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.4650	LR: 0.020000
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Training Epoch: 25 [7168/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.5150	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.5718	LR: 0.020000
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Training Epoch: 25 [9728/46200]	Loss: 0.5612	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.4999	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.6108	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.5004	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.6188	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5538	LR: 0.020000
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Training Epoch: 25 [29440/46200]	Loss: 0.5919	LR: 0.020000
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Training Epoch: 25 [37888/46200]	Loss: 0.4587	LR: 0.020000
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Training Epoch: 25 [40192/46200]	Loss: 0.6372	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.6610	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.5952	LR: 0.020000
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Training Epoch: 25 [41472/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.5443	LR: 0.020000
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Training Epoch: 25 [42240/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.5806	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.6734	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.5646	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.6078	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.6120	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4856	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.5988	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5534, Train Accuracy: 0.8206
Epoch 25 training time consumed: 25.18s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7335, Time consumed:0.88s
Training Epoch: 26 [256/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.4526	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.4545	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.5715	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.4275	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.4777	LR: 0.020000
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Training Epoch: 26 [8192/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.4804	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.6341	LR: 0.020000
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Training Epoch: 26 [11008/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.6626	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.6052	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.6127	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.5065	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4309	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.4547	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.6628	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.5567	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.4772	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.6512	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5151	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.6385	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.6142	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4994	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.5787	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4772	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5676	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.6661	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.5317	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.5202	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5658	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5893	LR: 0.020000
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Training Epoch: 26 [33024/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5709	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5585	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4263	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.4638	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.5951	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.7143	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5833	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.5754	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.4976	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.6046	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5206	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5669	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.6976	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.6882	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.6577	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5404, Train Accuracy: 0.8240
Epoch 26 training time consumed: 25.25s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0036, Accuracy: 0.7390, Time consumed:0.85s
Training Epoch: 27 [256/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.4497	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.4390	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.6229	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.4656	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5920	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.4511	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.4285	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.4972	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.5595	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.4568	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.5244	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.6108	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5881	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.4367	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5418	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.5390	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5873	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5397	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.4339	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.5168	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4436	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.6185	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5914	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4616	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.5903	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.5818	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.5250	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.5186	LR: 0.020000
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Training Epoch: 27 [46080/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.6800	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5286, Train Accuracy: 0.8285
Epoch 27 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7487, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-27-best.pth
Training Epoch: 28 [256/46200]	Loss: 0.4883	LR: 0.020000
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Training Epoch: 28 [46200/46200]	Loss: 0.5622	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5283, Train Accuracy: 0.8268
Epoch 28 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0038, Accuracy: 0.7266, Time consumed:0.89s
Training Epoch: 29 [256/46200]	Loss: 0.4893	LR: 0.020000
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Training Epoch: 29 [1024/46200]	Loss: 0.5404	LR: 0.020000
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Training Epoch: 29 [11520/46200]	Loss: 0.4883	LR: 0.020000
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Training Epoch: 29 [12032/46200]	Loss: 0.5461	LR: 0.020000
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Training Epoch: 29 [12800/46200]	Loss: 0.5613	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5280	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.5022	LR: 0.020000
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Training Epoch: 29 [14080/46200]	Loss: 0.5435	LR: 0.020000
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Training Epoch: 29 [14592/46200]	Loss: 0.5255	LR: 0.020000
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Training Epoch: 29 [15616/46200]	Loss: 0.5107	LR: 0.020000
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Training Epoch: 29 [16128/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4462	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.5806	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.4952	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4793	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.4511	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.4854	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.4482	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4261	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.4904	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.4346	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.6287	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5855	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5850	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5057	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.6430	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.5418	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.6768	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.6095	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.4772	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.6664	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4534	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5315	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.5448	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.5140	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.6048	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.5464	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5162, Train Accuracy: 0.8307
Epoch 29 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7468, Time consumed:0.86s
Training Epoch: 30 [256/46200]	Loss: 0.4730	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3884	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4580	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.5033	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.4625	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.5634	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.3960	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4975	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.5049	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.3982	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4463	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.5238	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.4258	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4286	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.3808	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.3819	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4480	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.4402	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4769	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4064	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.3258	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4439	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.4858	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.4076	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.5419	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4388	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.4193	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.3932	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.3878	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4737	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.4126	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4015	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.4950	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4236	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.4073	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.4284	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.3320	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.3825	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3412	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2988	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.3863	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3953	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.4019	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.3606	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.3656	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.4090	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.4260	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.4218	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.4760	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4321	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.3119	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.3371	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3652	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.4590	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.4417	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.4011	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.4153	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.3135	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.4573	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.4032	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3047	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.3825	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.3989	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.3521	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3927	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3187	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.4158	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.4219	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.3182	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3730	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.3543	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.3520	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3750	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.3946	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3898	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.3896	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.4196	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.4054	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.4006	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.4601	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.3333	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.3856	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.4207	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3229	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3711	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.4306	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3379	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3725	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.4330	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3016	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.4538	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.4629	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.4189	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3967	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.3190	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.4104	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.4084	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.3813	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.5426	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.4004	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3218	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.3564	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.3957	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.3644	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.4994	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.4083	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.3614	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.4130	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.3778	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.4275	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.3594	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.4275	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.4472	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3108	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.3139	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.4228	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.4068	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.3774	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3166	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.3886	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.4091	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.3986	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3474	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.4434	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.3405	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.4663	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.4249	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3832	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.3911	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.3725	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.4694	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3474	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3095	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.4069	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.3994	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3719	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.3901	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.3953	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.3976	LR: 0.004000
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Training Epoch: 30 [41984/46200]	Loss: 0.3430	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.4054	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.3589	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.4597	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.3828	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3978	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3716	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3776	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3651	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.4391	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.4456	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.3121	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.4565	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.3668	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.4661	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.3730	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3303	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.3724	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3982, Train Accuracy: 0.8762
Epoch 30 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7761, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.4217	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.3960	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.3905	LR: 0.004000
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Training Epoch: 31 [1536/46200]	Loss: 0.3463	LR: 0.004000
Training Epoch: 31 [1792/46200]	Loss: 0.3325	LR: 0.004000
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Training Epoch: 31 [40192/46200]	Loss: 0.3832	LR: 0.004000
Training Epoch: 31 [40448/46200]	Loss: 0.3547	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.3456	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.3350	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.3036	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.3581	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.4076	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.3567	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3651	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.4013	LR: 0.004000
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Training Epoch: 31 [45824/46200]	Loss: 0.3155	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.3863	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3107	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3600, Train Accuracy: 0.8880
Epoch 31 training time consumed: 25.28s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7831, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3367	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3401	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.4720	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.2642	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.3029	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.2746	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.2432	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.3571	LR: 0.004000
Training Epoch: 32 [2304/46200]	Loss: 0.3387	LR: 0.004000
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Training Epoch: 32 [46080/46200]	Loss: 0.3019	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.2965	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3475, Train Accuracy: 0.8925
Epoch 32 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7842, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.3318	LR: 0.004000
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Training Epoch: 33 [45056/46200]	Loss: 0.3669	LR: 0.004000
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Training Epoch: 33 [45568/46200]	Loss: 0.4245	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.3763	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.2708	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3333	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3391, Train Accuracy: 0.8959
Epoch 33 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7843, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.2929	LR: 0.004000
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Training Epoch: 34 [45824/46200]	Loss: 0.3687	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.2425	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.3836	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3281, Train Accuracy: 0.9001
Epoch 34 training time consumed: 25.25s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7797, Time consumed:0.85s
Training Epoch: 35 [256/46200]	Loss: 0.2862	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.3001	LR: 0.000800
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Training Epoch: 35 [41728/46200]	Loss: 0.3556	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.2554	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.3322	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.2330	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.3370	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.2424	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.3394	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3591	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2844	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3104	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.2620	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.3960	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.2893	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.2395	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3052, Train Accuracy: 0.9069
Epoch 35 training time consumed: 25.24s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7867, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.3073	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2166	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.2343	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.3152	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.2696	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.2551	LR: 0.000800
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Training Epoch: 36 [42496/46200]	Loss: 0.3340	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.2681	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.2961	LR: 0.000800
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Training Epoch: 36 [43520/46200]	Loss: 0.3777	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.3240	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.3037	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.2896	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3772	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3262	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.3245	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.2449	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.3361	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.2836	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2948, Train Accuracy: 0.9116
Epoch 36 training time consumed: 25.32s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7882, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.3426	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.3010	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.2688	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2970	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.2839	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.2856	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.2153	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.3562	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.2511	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.2250	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.3450	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.3398	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.3011	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.2302	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.2444	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.3248	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.3409	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.3237	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.3238	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.2770	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.3082	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.2865	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.2536	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.2140	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.3119	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.3249	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.2374	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.2727	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.2737	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.3029	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.2610	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.3039	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.2993	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.3181	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.2800	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.2522	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.2939	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.2239	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.3934	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.3271	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.3292	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.3455	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.2640	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.2735	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.3604	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.3114	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.2822	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.3083	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.3004	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.2590	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.3316	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.3070	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.3045	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.2456	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.3052	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.3221	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.2147	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.2792	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.2933	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.3219	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.3183	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.2548	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.2607	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.2411	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.3118	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.3349	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.2939	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.3571	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.2437	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.3301	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.3138	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.2836	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.3026	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.3449	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.3135	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.2673	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.2587	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.3420	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.2485	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.2529	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.3331	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.3532	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.2475	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.2768	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.3626	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.2865	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.2474	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.3416	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.2634	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.2393	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.3820	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.2406	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.3334	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.3078	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.2342	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.3957	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.3373	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.3739	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.3352	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.2475	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.3495	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.2567	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.3316	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.3083	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.2548	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.3524	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.2173	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.3301	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.3563	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.3089	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.2411	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3386	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.2453	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.2530	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.2904	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2648	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.4108	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2931, Train Accuracy: 0.9133
Epoch 37 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7873, Time consumed:0.88s
Training Epoch: 38 [256/46200]	Loss: 0.2274	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.2339	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.3356	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.2797	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.2357	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.4168	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.2361	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.2516	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.2620	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.1927	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.3618	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.2145	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.2287	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.3119	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.3097	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.3436	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.3389	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.2376	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.3415	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.2469	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.2559	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.2560	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.2544	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.3811	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.2691	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.2529	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.2355	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.2476	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.3429	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.3352	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.3057	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.2555	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.2921	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.2565	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.2585	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.2615	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.2628	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.3291	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.2303	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.2946	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.2346	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.3863	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.2204	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.3094	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.2560	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.3055	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.2799	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.2948	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.3188	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.3353	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.3275	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.2934	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.2331	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.1904	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.3255	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.2984	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.3329	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.3433	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.3271	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.2679	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.3617	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.2340	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.3024	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.2912	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.2707	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.3260	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.2523	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.2800	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.3055	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.3349	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.3661	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.3314	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.2570	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.2456	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.3289	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.2520	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.2549	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.3516	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.2975	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.2779	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.3339	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.2921	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.3227	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.2611	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.2683	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.3491	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.2340	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.2770	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.3133	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.3572	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.2511	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.3492	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.2801	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.3433	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.3088	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.3023	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.3576	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.2908	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.3366	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.3443	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.2641	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.3251	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.2369	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.3044	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.3597	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.3397	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.2741	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.2538	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.2450	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.3646	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2732	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.3726	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.2422	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.3571	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.3750	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.3098	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1971	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.3222	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.2460	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.3342	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2915, Train Accuracy: 0.9127
Epoch 38 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7861, Time consumed:0.84s
Training Epoch: 39 [256/46200]	Loss: 0.3327	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.2296	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.2437	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.3103	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.2946	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.2893	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.3184	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.3430	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.2959	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.3080	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.3496	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.2922	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.3454	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.2720	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.3413	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.3002	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.2382	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.2509	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.3111	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.3691	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2625	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.3104	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2722	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.2406	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.3112	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.2560	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.3406	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.3175	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.2597	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.3561	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.3329	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.2538	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.3152	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.3216	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.3386	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.3634	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.2399	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.3709	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.3436	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.3750	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.2590	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.2706	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.2339	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.3707	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.2363	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.3578	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.3776	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.2303	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.2296	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.2250	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.2696	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.3215	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2305	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2548	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.3457	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.3405	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.3316	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.3591	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.3248	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.3045	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.3279	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.3496	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.2741	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.3398	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.3053	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.3129	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2949	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.3084	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.3542	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.2504	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.3835	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2422	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.3202	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.2518	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.2916	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.2972	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.3281	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.2753	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.3125	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2259	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.2926	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2495	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.3163	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1988	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.3396	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.2609	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.2810	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.2695	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.3735	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.2302	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2796	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.2470	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.2481	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.2624	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.2752	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.3354	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.2833	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.2110	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.3412	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.3363	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.2770	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.2400	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.2525	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2853	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2950	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.3029	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.2727	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2262	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3477	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.3137	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.3497	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.2773	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.2655	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2924, Train Accuracy: 0.9124
Epoch 39 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7871, Time consumed:0.86s
Training Epoch: 40 [256/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.2487	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.3125	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.3611	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.3296	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.2978	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.3290	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.2365	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.2767	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.4174	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.3461	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.2302	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.3116	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.2233	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.3064	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.2654	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.2343	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.2403	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.2368	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.2501	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.3195	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.2874	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.2213	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.2135	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.3483	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.2828	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.2434	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.2444	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.2726	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.3395	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.2231	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.2538	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.3365	LR: 0.000800
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Training Epoch: 40 [43776/46200]	Loss: 0.3361	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2968	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.2219	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1814	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.2438	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.3297	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2852, Train Accuracy: 0.9141
Epoch 40 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7908, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_08h_38m_02s/AllCNN-Cifar20-seed1-ret25-40-best.pth
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: 79.130859375
Retain Accuracy: 91.9352798461914
Zero-Retain Forget (ZRF): 0.9147583842277527
Membership Inference Attack (MIA): 0.45973684210526317
Forget vs Retain Membership Inference Attack (MIA): 0.5539473684210526
Forget vs Test Membership Inference Attack (MIA): 0.5335526315789474
Test vs Retain Membership Inference Attack (MIA): 0.481
Train vs Test Membership Inference Attack (MIA): 0.569
Forget Set Accuracy (Df): 76.7949447631836
Method Execution Time: 1542.93 seconds
