
📌 S Retain class distribution for seed 5:
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 5:
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: 487
  Class 1: 487
  Class 2: 487
  Class 3: 487
  Class 4: 487
  Class 5: 487
  Class 6: 487
  Class 7: 487
  Class 8: 487
  Class 9: 487
  Class 10: 487
  Class 11: 487
  Class 12: 487
  Class 13: 487
  Class 14: 487
  Class 15: 487
  Class 16: 487
  Class 17: 487
  Class 18: 487
  Class 19: 487
  Class 20: 487
  Class 21: 487
  Class 22: 487
  Class 23: 487
  Class 24: 487
  Class 25: 487
  Class 26: 487
  Class 27: 487
  Class 28: 487
  Class 29: 487
  Class 30: 487
  Class 31: 487
  Class 32: 487
  Class 33: 487
  Class 34: 487
  Class 35: 487
  Class 36: 487
  Class 37: 487
  Class 38: 487
  Class 39: 487
  Class 40: 487
  Class 41: 487
  Class 42: 487
  Class 43: 487
  Class 44: 487
  Class 45: 487
  Class 46: 487
  Class 47: 487
  Class 48: 487
  Class 49: 487
  Class 50: 487
  Class 51: 487
  Class 52: 487
  Class 53: 487
  Class 54: 487
  Class 55: 487
  Class 56: 487
  Class 57: 487
  Class 58: 487
  Class 59: 487
  Class 60: 487
  Class 61: 487
  Class 62: 487
  Class 63: 487
  Class 64: 487
  Class 65: 487
  Class 66: 487
  Class 67: 487
  Class 68: 487
  Class 69: 487
  Class 70: 487
  Class 71: 487
  Class 72: 487
  Class 73: 487
  Class 74: 487
  Class 75: 487
  Class 76: 487
  Class 77: 487
  Class 78: 487
  Class 79: 487
  Class 80: 487
  Class 81: 487
  Class 82: 487
  Class 83: 487
  Class 84: 487
  Class 85: 487
  Class 86: 487
  Class 87: 487
  Class 88: 487
  Class 89: 487
  Class 90: 487
  Class 91: 487
  Class 92: 487
  Class 93: 487
  Class 94: 487
  Class 95: 487
  Class 96: 487
  Class 97: 487
  Class 98: 487
  Class 99: 487
Forget set:
  Class 0: 13
  Class 1: 13
  Class 2: 13
  Class 3: 13
  Class 4: 13
  Class 5: 13
  Class 6: 13
  Class 7: 13
  Class 8: 13
  Class 9: 13
  Class 10: 13
  Class 11: 13
  Class 12: 13
  Class 13: 13
  Class 14: 13
  Class 15: 13
  Class 16: 13
  Class 17: 13
  Class 18: 13
  Class 19: 13
  Class 20: 13
  Class 21: 13
  Class 22: 13
  Class 23: 13
  Class 24: 13
  Class 25: 13
  Class 26: 13
  Class 27: 13
  Class 28: 13
  Class 29: 13
  Class 30: 13
  Class 31: 13
  Class 32: 13
  Class 33: 13
  Class 34: 13
  Class 35: 13
  Class 36: 13
  Class 37: 13
  Class 38: 13
  Class 39: 13
  Class 40: 13
  Class 41: 13
  Class 42: 13
  Class 43: 13
  Class 44: 13
  Class 45: 13
  Class 46: 13
  Class 47: 13
  Class 48: 13
  Class 49: 13
  Class 50: 13
  Class 51: 13
  Class 52: 13
  Class 53: 13
  Class 54: 13
  Class 55: 13
  Class 56: 13
  Class 57: 13
  Class 58: 13
  Class 59: 13
  Class 60: 13
  Class 61: 13
  Class 62: 13
  Class 63: 13
  Class 64: 13
  Class 65: 13
  Class 66: 13
  Class 67: 13
  Class 68: 13
  Class 69: 13
  Class 70: 13
  Class 71: 13
  Class 72: 13
  Class 73: 13
  Class 74: 13
  Class 75: 13
  Class 76: 13
  Class 77: 13
  Class 78: 13
  Class 79: 13
  Class 80: 13
  Class 81: 13
  Class 82: 13
  Class 83: 13
  Class 84: 13
  Class 85: 13
  Class 86: 13
  Class 87: 13
  Class 88: 13
  Class 89: 13
  Class 90: 13
  Class 91: 13
  Class 92: 13
  Class 93: 13
  Class 94: 13
  Class 95: 13
  Class 96: 13
  Class 97: 13
  Class 98: 13
  Class 99: 13
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48700]	Loss: 2.9975	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0012	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0294	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0210	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0271	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0218	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9913	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9715	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9668	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9726	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9247	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9278	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.8968	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8966	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9203	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.7940	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8298	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8674	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8222	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.8488	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.8299	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.8378	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7438	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7918	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7511	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7608	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.7531	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7487	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7342	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6764	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.6733	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6895	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.7235	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6320	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6480	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6359	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.5823	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.7157	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6376	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6358	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6383	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.6052	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5964	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5996	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.5277	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.6649	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.5653	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5054	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5715	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5692	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5829	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5332	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.4980	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.5648	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5498	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5337	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5577	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5088	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.5019	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.4578	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.5472	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.5169	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.4667	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5443	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4954	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.3964	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5323	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4198	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.4344	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.4727	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.4356	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4666	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.4597	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.4524	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.4279	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4175	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.4075	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5539	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5473	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.3710	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4915	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4857	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.3869	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4513	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.5803	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.3181	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.4907	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4097	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.5212	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4938	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5168	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.3984	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.4876	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.5384	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.3447	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4964	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4534	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.5692	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4757	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.5138	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.4650	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.3823	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.4209	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.4217	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.3662	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4501	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.3685	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.5203	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4026	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.3260	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.5010	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.4827	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.3931	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4737	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.3665	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4606	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4018	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.4076	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3639	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.4311	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.3373	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5057	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.3182	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.4907	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.4710	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4343	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.3211	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4448	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.3964	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.2827	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4812	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4768	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.4415	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3233	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3825	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.3821	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4456	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.3023	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.3560	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.5505	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.3086	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.4145	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4152	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3698	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.2651	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.3025	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3168	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.3411	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.3400	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3297	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3148	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3639	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3098	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.3758	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.3704	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3626	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.2458	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.2250	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.2695	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.2964	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.4074	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.4620	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3835	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.3349	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.3800	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3449	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4547	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.4367	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.4170	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3282	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.3750	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.3527	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3049	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.2788	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.4412	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.3873	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3300	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.1973	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.3334	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3128	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.2115	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2379	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.4133	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3935	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.2904	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.2575	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.1624	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.4789	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.3428	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.1565	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.4370	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5059, Train Accuracy: 0.2224
Epoch 1 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0104, Accuracy: 0.2186, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2323	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.3408	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.3479	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.2628	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 2.1526	LR: 0.100000
Training Epoch: 2 [42752/48700]	Loss: 1.9555	LR: 0.100000
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Training Epoch: 2 [47616/48700]	Loss: 1.9670	LR: 0.100000
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Training Epoch: 2 [48128/48700]	Loss: 1.8253	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 1.9079	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.0392	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1516, Train Accuracy: 0.3260
Epoch 2 training time consumed: 26.83s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0089, Accuracy: 0.3362, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.0432	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9360	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 2.2387	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 2.0640	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 1.9312	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 2.0348	LR: 0.100000
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Training Epoch: 3 [47104/48700]	Loss: 1.7924	LR: 0.100000
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Training Epoch: 3 [47616/48700]	Loss: 1.7775	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.9794	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.7234	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.9015	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.6991	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9262, Train Accuracy: 0.3951
Epoch 3 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0084, Accuracy: 0.3568, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.7828	LR: 0.100000
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Training Epoch: 4 [48640/48700]	Loss: 1.6232	LR: 0.100000
Training Epoch: 4 [48700/48700]	Loss: 1.7173	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7546, Train Accuracy: 0.4466
Epoch 4 training time consumed: 26.93s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0074, Accuracy: 0.4368, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.6290	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.6510	LR: 0.100000
Epoch 5 - Average Train Loss: 1.6095, Train Accuracy: 0.4921
Epoch 5 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0075, Accuracy: 0.4379, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.7654	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4828, Train Accuracy: 0.5275
Epoch 6 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0061, Accuracy: 0.5151, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.6255	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.5658	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3788, Train Accuracy: 0.5590
Epoch 7 training time consumed: 26.93s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0074, Accuracy: 0.4910, Time consumed:0.88s
Training Epoch: 8 [256/48700]	Loss: 1.2843	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.4392	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2889, Train Accuracy: 0.5871
Epoch 8 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0061, Accuracy: 0.5393, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.1949	LR: 0.100000
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Training Epoch: 9 [48700/48700]	Loss: 1.2479	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2279, Train Accuracy: 0.6045
Epoch 9 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0060, Accuracy: 0.5620, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-9-best.pth
Training Epoch: 10 [256/48700]	Loss: 1.2254	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.4166	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1571, Train Accuracy: 0.6277
Epoch 10 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0063, Accuracy: 0.5343, Time consumed:1.01s
Training Epoch: 11 [256/48700]	Loss: 1.1509	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 1.3223	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1129, Train Accuracy: 0.6440
Epoch 11 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0053, Accuracy: 0.5967, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 1.0060	LR: 0.100000
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Training Epoch: 12 [39424/48700]	Loss: 1.0093	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 1.0683	LR: 0.100000
Training Epoch: 12 [39936/48700]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 1.0865	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 0.9979	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 0.9789	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 0.9629	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 1.0436	LR: 0.100000
Training Epoch: 12 [41472/48700]	Loss: 0.9459	LR: 0.100000
Training Epoch: 12 [41728/48700]	Loss: 1.0236	LR: 0.100000
Training Epoch: 12 [41984/48700]	Loss: 1.0568	LR: 0.100000
Training Epoch: 12 [42240/48700]	Loss: 0.9929	LR: 0.100000
Training Epoch: 12 [42496/48700]	Loss: 1.0408	LR: 0.100000
Training Epoch: 12 [42752/48700]	Loss: 0.9949	LR: 0.100000
Training Epoch: 12 [43008/48700]	Loss: 1.1393	LR: 0.100000
Training Epoch: 12 [43264/48700]	Loss: 1.0478	LR: 0.100000
Training Epoch: 12 [43520/48700]	Loss: 1.0783	LR: 0.100000
Training Epoch: 12 [43776/48700]	Loss: 1.0254	LR: 0.100000
Training Epoch: 12 [44032/48700]	Loss: 1.0780	LR: 0.100000
Training Epoch: 12 [44288/48700]	Loss: 1.0548	LR: 0.100000
Training Epoch: 12 [44544/48700]	Loss: 1.0969	LR: 0.100000
Training Epoch: 12 [44800/48700]	Loss: 1.0191	LR: 0.100000
Training Epoch: 12 [45056/48700]	Loss: 0.9308	LR: 0.100000
Training Epoch: 12 [45312/48700]	Loss: 1.1739	LR: 0.100000
Training Epoch: 12 [45568/48700]	Loss: 1.2113	LR: 0.100000
Training Epoch: 12 [45824/48700]	Loss: 1.0719	LR: 0.100000
Training Epoch: 12 [46080/48700]	Loss: 1.1738	LR: 0.100000
Training Epoch: 12 [46336/48700]	Loss: 1.0469	LR: 0.100000
Training Epoch: 12 [46592/48700]	Loss: 1.0364	LR: 0.100000
Training Epoch: 12 [46848/48700]	Loss: 1.1213	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 1.1278	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 1.2505	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 1.1563	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 1.0997	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 1.0748	LR: 0.100000
Training Epoch: 12 [48384/48700]	Loss: 1.0957	LR: 0.100000
Training Epoch: 12 [48640/48700]	Loss: 1.0663	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 0.9222	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0766, Train Accuracy: 0.6536
Epoch 12 training time consumed: 26.54s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0057, Accuracy: 0.5877, Time consumed:0.90s
Training Epoch: 13 [256/48700]	Loss: 1.0239	LR: 0.100000
Training Epoch: 13 [512/48700]	Loss: 0.8639	LR: 0.100000
Training Epoch: 13 [768/48700]	Loss: 0.9220	LR: 0.100000
Training Epoch: 13 [1024/48700]	Loss: 0.9546	LR: 0.100000
Training Epoch: 13 [1280/48700]	Loss: 1.0749	LR: 0.100000
Training Epoch: 13 [1536/48700]	Loss: 1.0129	LR: 0.100000
Training Epoch: 13 [1792/48700]	Loss: 1.0870	LR: 0.100000
Training Epoch: 13 [2048/48700]	Loss: 1.0208	LR: 0.100000
Training Epoch: 13 [2304/48700]	Loss: 1.0176	LR: 0.100000
Training Epoch: 13 [2560/48700]	Loss: 1.1159	LR: 0.100000
Training Epoch: 13 [2816/48700]	Loss: 1.1353	LR: 0.100000
Training Epoch: 13 [3072/48700]	Loss: 1.0102	LR: 0.100000
Training Epoch: 13 [3328/48700]	Loss: 0.9108	LR: 0.100000
Training Epoch: 13 [3584/48700]	Loss: 0.9473	LR: 0.100000
Training Epoch: 13 [3840/48700]	Loss: 1.0623	LR: 0.100000
Training Epoch: 13 [4096/48700]	Loss: 0.9770	LR: 0.100000
Training Epoch: 13 [4352/48700]	Loss: 1.0790	LR: 0.100000
Training Epoch: 13 [4608/48700]	Loss: 1.1270	LR: 0.100000
Training Epoch: 13 [4864/48700]	Loss: 1.0486	LR: 0.100000
Training Epoch: 13 [5120/48700]	Loss: 0.9215	LR: 0.100000
Training Epoch: 13 [5376/48700]	Loss: 0.9255	LR: 0.100000
Training Epoch: 13 [5632/48700]	Loss: 1.1083	LR: 0.100000
Training Epoch: 13 [5888/48700]	Loss: 1.0694	LR: 0.100000
Training Epoch: 13 [6144/48700]	Loss: 1.0481	LR: 0.100000
Training Epoch: 13 [6400/48700]	Loss: 1.0539	LR: 0.100000
Training Epoch: 13 [6656/48700]	Loss: 0.8957	LR: 0.100000
Training Epoch: 13 [6912/48700]	Loss: 0.9255	LR: 0.100000
Training Epoch: 13 [7168/48700]	Loss: 0.9513	LR: 0.100000
Training Epoch: 13 [7424/48700]	Loss: 1.0812	LR: 0.100000
Training Epoch: 13 [7680/48700]	Loss: 0.8762	LR: 0.100000
Training Epoch: 13 [7936/48700]	Loss: 1.0141	LR: 0.100000
Training Epoch: 13 [8192/48700]	Loss: 1.0040	LR: 0.100000
Training Epoch: 13 [8448/48700]	Loss: 1.0101	LR: 0.100000
Training Epoch: 13 [8704/48700]	Loss: 0.9751	LR: 0.100000
Training Epoch: 13 [8960/48700]	Loss: 1.0474	LR: 0.100000
Training Epoch: 13 [9216/48700]	Loss: 0.9414	LR: 0.100000
Training Epoch: 13 [9472/48700]	Loss: 1.0949	LR: 0.100000
Training Epoch: 13 [9728/48700]	Loss: 1.0909	LR: 0.100000
Training Epoch: 13 [9984/48700]	Loss: 1.0092	LR: 0.100000
Training Epoch: 13 [10240/48700]	Loss: 1.0444	LR: 0.100000
Training Epoch: 13 [10496/48700]	Loss: 1.0939	LR: 0.100000
Training Epoch: 13 [10752/48700]	Loss: 1.0832	LR: 0.100000
Training Epoch: 13 [11008/48700]	Loss: 0.8748	LR: 0.100000
Training Epoch: 13 [11264/48700]	Loss: 1.0883	LR: 0.100000
Training Epoch: 13 [11520/48700]	Loss: 1.0152	LR: 0.100000
Training Epoch: 13 [11776/48700]	Loss: 1.0352	LR: 0.100000
Training Epoch: 13 [12032/48700]	Loss: 1.0456	LR: 0.100000
Training Epoch: 13 [12288/48700]	Loss: 1.1749	LR: 0.100000
Training Epoch: 13 [12544/48700]	Loss: 1.0611	LR: 0.100000
Training Epoch: 13 [12800/48700]	Loss: 1.0723	LR: 0.100000
Training Epoch: 13 [13056/48700]	Loss: 1.1191	LR: 0.100000
Training Epoch: 13 [13312/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 13 [13568/48700]	Loss: 1.0844	LR: 0.100000
Training Epoch: 13 [13824/48700]	Loss: 1.0423	LR: 0.100000
Training Epoch: 13 [14080/48700]	Loss: 0.9542	LR: 0.100000
Training Epoch: 13 [14336/48700]	Loss: 1.0480	LR: 0.100000
Training Epoch: 13 [14592/48700]	Loss: 1.0280	LR: 0.100000
Training Epoch: 13 [14848/48700]	Loss: 1.0808	LR: 0.100000
Training Epoch: 13 [15104/48700]	Loss: 1.0241	LR: 0.100000
Training Epoch: 13 [15360/48700]	Loss: 0.9543	LR: 0.100000
Training Epoch: 13 [15616/48700]	Loss: 1.0000	LR: 0.100000
Training Epoch: 13 [15872/48700]	Loss: 0.9234	LR: 0.100000
Training Epoch: 13 [16128/48700]	Loss: 1.1116	LR: 0.100000
Training Epoch: 13 [16384/48700]	Loss: 1.0260	LR: 0.100000
Training Epoch: 13 [16640/48700]	Loss: 1.0833	LR: 0.100000
Training Epoch: 13 [16896/48700]	Loss: 0.9536	LR: 0.100000
Training Epoch: 13 [17152/48700]	Loss: 0.9242	LR: 0.100000
Training Epoch: 13 [17408/48700]	Loss: 0.9175	LR: 0.100000
Training Epoch: 13 [17664/48700]	Loss: 1.0559	LR: 0.100000
Training Epoch: 13 [17920/48700]	Loss: 0.9917	LR: 0.100000
Training Epoch: 13 [18176/48700]	Loss: 1.0913	LR: 0.100000
Training Epoch: 13 [18432/48700]	Loss: 1.2013	LR: 0.100000
Training Epoch: 13 [18688/48700]	Loss: 1.0551	LR: 0.100000
Training Epoch: 13 [18944/48700]	Loss: 1.0329	LR: 0.100000
Training Epoch: 13 [19200/48700]	Loss: 1.0554	LR: 0.100000
Training Epoch: 13 [19456/48700]	Loss: 0.9617	LR: 0.100000
Training Epoch: 13 [19712/48700]	Loss: 1.1862	LR: 0.100000
Training Epoch: 13 [19968/48700]	Loss: 0.9981	LR: 0.100000
Training Epoch: 13 [20224/48700]	Loss: 1.0463	LR: 0.100000
Training Epoch: 13 [20480/48700]	Loss: 0.9581	LR: 0.100000
Training Epoch: 13 [20736/48700]	Loss: 0.8862	LR: 0.100000
Training Epoch: 13 [20992/48700]	Loss: 1.0338	LR: 0.100000
Training Epoch: 13 [21248/48700]	Loss: 0.9675	LR: 0.100000
Training Epoch: 13 [21504/48700]	Loss: 0.9711	LR: 0.100000
Training Epoch: 13 [21760/48700]	Loss: 1.0774	LR: 0.100000
Training Epoch: 13 [22016/48700]	Loss: 1.0340	LR: 0.100000
Training Epoch: 13 [22272/48700]	Loss: 0.9206	LR: 0.100000
Training Epoch: 13 [22528/48700]	Loss: 1.0887	LR: 0.100000
Training Epoch: 13 [22784/48700]	Loss: 0.9464	LR: 0.100000
Training Epoch: 13 [23040/48700]	Loss: 1.1625	LR: 0.100000
Training Epoch: 13 [23296/48700]	Loss: 1.0994	LR: 0.100000
Training Epoch: 13 [23552/48700]	Loss: 1.1220	LR: 0.100000
Training Epoch: 13 [23808/48700]	Loss: 1.1893	LR: 0.100000
Training Epoch: 13 [24064/48700]	Loss: 1.0879	LR: 0.100000
Training Epoch: 13 [24320/48700]	Loss: 0.9822	LR: 0.100000
Training Epoch: 13 [24576/48700]	Loss: 1.1264	LR: 0.100000
Training Epoch: 13 [24832/48700]	Loss: 1.1193	LR: 0.100000
Training Epoch: 13 [25088/48700]	Loss: 1.1237	LR: 0.100000
Training Epoch: 13 [25344/48700]	Loss: 0.9780	LR: 0.100000
Training Epoch: 13 [25600/48700]	Loss: 1.1936	LR: 0.100000
Training Epoch: 13 [25856/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 13 [26112/48700]	Loss: 1.0651	LR: 0.100000
Training Epoch: 13 [26368/48700]	Loss: 0.9648	LR: 0.100000
Training Epoch: 13 [26624/48700]	Loss: 1.0823	LR: 0.100000
Training Epoch: 13 [26880/48700]	Loss: 1.0032	LR: 0.100000
Training Epoch: 13 [27136/48700]	Loss: 1.0465	LR: 0.100000
Training Epoch: 13 [27392/48700]	Loss: 1.0932	LR: 0.100000
Training Epoch: 13 [27648/48700]	Loss: 1.0024	LR: 0.100000
Training Epoch: 13 [27904/48700]	Loss: 0.9972	LR: 0.100000
Training Epoch: 13 [28160/48700]	Loss: 0.9192	LR: 0.100000
Training Epoch: 13 [28416/48700]	Loss: 0.9870	LR: 0.100000
Training Epoch: 13 [28672/48700]	Loss: 0.8869	LR: 0.100000
Training Epoch: 13 [28928/48700]	Loss: 1.0869	LR: 0.100000
Training Epoch: 13 [29184/48700]	Loss: 1.0250	LR: 0.100000
Training Epoch: 13 [29440/48700]	Loss: 1.0542	LR: 0.100000
Training Epoch: 13 [29696/48700]	Loss: 1.1031	LR: 0.100000
Training Epoch: 13 [29952/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 13 [30208/48700]	Loss: 1.0133	LR: 0.100000
Training Epoch: 13 [30464/48700]	Loss: 1.1084	LR: 0.100000
Training Epoch: 13 [30720/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 13 [30976/48700]	Loss: 1.0226	LR: 0.100000
Training Epoch: 13 [31232/48700]	Loss: 0.9784	LR: 0.100000
Training Epoch: 13 [31488/48700]	Loss: 1.0158	LR: 0.100000
Training Epoch: 13 [31744/48700]	Loss: 1.1569	LR: 0.100000
Training Epoch: 13 [32000/48700]	Loss: 1.0466	LR: 0.100000
Training Epoch: 13 [32256/48700]	Loss: 0.9961	LR: 0.100000
Training Epoch: 13 [32512/48700]	Loss: 0.9560	LR: 0.100000
Training Epoch: 13 [32768/48700]	Loss: 1.0358	LR: 0.100000
Training Epoch: 13 [33024/48700]	Loss: 1.0707	LR: 0.100000
Training Epoch: 13 [33280/48700]	Loss: 0.9397	LR: 0.100000
Training Epoch: 13 [33536/48700]	Loss: 1.1320	LR: 0.100000
Training Epoch: 13 [33792/48700]	Loss: 1.1698	LR: 0.100000
Training Epoch: 13 [34048/48700]	Loss: 1.0974	LR: 0.100000
Training Epoch: 13 [34304/48700]	Loss: 1.1270	LR: 0.100000
Training Epoch: 13 [34560/48700]	Loss: 1.0586	LR: 0.100000
Training Epoch: 13 [34816/48700]	Loss: 1.0054	LR: 0.100000
Training Epoch: 13 [35072/48700]	Loss: 1.1478	LR: 0.100000
Training Epoch: 13 [35328/48700]	Loss: 0.9718	LR: 0.100000
Training Epoch: 13 [35584/48700]	Loss: 1.0156	LR: 0.100000
Training Epoch: 13 [35840/48700]	Loss: 1.1170	LR: 0.100000
Training Epoch: 13 [36096/48700]	Loss: 1.0006	LR: 0.100000
Training Epoch: 13 [36352/48700]	Loss: 1.0811	LR: 0.100000
Training Epoch: 13 [36608/48700]	Loss: 1.1466	LR: 0.100000
Training Epoch: 13 [36864/48700]	Loss: 1.1337	LR: 0.100000
Training Epoch: 13 [37120/48700]	Loss: 1.1018	LR: 0.100000
Training Epoch: 13 [37376/48700]	Loss: 1.0857	LR: 0.100000
Training Epoch: 13 [37632/48700]	Loss: 1.0661	LR: 0.100000
Training Epoch: 13 [37888/48700]	Loss: 1.0722	LR: 0.100000
Training Epoch: 13 [38144/48700]	Loss: 1.1267	LR: 0.100000
Training Epoch: 13 [38400/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 13 [38656/48700]	Loss: 1.0653	LR: 0.100000
Training Epoch: 13 [38912/48700]	Loss: 1.0621	LR: 0.100000
Training Epoch: 13 [39168/48700]	Loss: 1.0315	LR: 0.100000
Training Epoch: 13 [39424/48700]	Loss: 1.2799	LR: 0.100000
Training Epoch: 13 [39680/48700]	Loss: 1.0591	LR: 0.100000
Training Epoch: 13 [39936/48700]	Loss: 1.1555	LR: 0.100000
Training Epoch: 13 [40192/48700]	Loss: 1.0808	LR: 0.100000
Training Epoch: 13 [40448/48700]	Loss: 1.1350	LR: 0.100000
Training Epoch: 13 [40704/48700]	Loss: 1.0200	LR: 0.100000
Training Epoch: 13 [40960/48700]	Loss: 1.0827	LR: 0.100000
Training Epoch: 13 [41216/48700]	Loss: 1.2000	LR: 0.100000
Training Epoch: 13 [41472/48700]	Loss: 1.0100	LR: 0.100000
Training Epoch: 13 [41728/48700]	Loss: 1.0695	LR: 0.100000
Training Epoch: 13 [41984/48700]	Loss: 0.9964	LR: 0.100000
Training Epoch: 13 [42240/48700]	Loss: 0.9902	LR: 0.100000
Training Epoch: 13 [42496/48700]	Loss: 1.0462	LR: 0.100000
Training Epoch: 13 [42752/48700]	Loss: 1.0504	LR: 0.100000
Training Epoch: 13 [43008/48700]	Loss: 1.0985	LR: 0.100000
Training Epoch: 13 [43264/48700]	Loss: 1.0326	LR: 0.100000
Training Epoch: 13 [43520/48700]	Loss: 1.2332	LR: 0.100000
Training Epoch: 13 [43776/48700]	Loss: 0.9964	LR: 0.100000
Training Epoch: 13 [44032/48700]	Loss: 1.0120	LR: 0.100000
Training Epoch: 13 [44288/48700]	Loss: 1.1966	LR: 0.100000
Training Epoch: 13 [44544/48700]	Loss: 1.0394	LR: 0.100000
Training Epoch: 13 [44800/48700]	Loss: 1.0770	LR: 0.100000
Training Epoch: 13 [45056/48700]	Loss: 1.0756	LR: 0.100000
Training Epoch: 13 [45312/48700]	Loss: 1.1424	LR: 0.100000
Training Epoch: 13 [45568/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 13 [45824/48700]	Loss: 1.0710	LR: 0.100000
Training Epoch: 13 [46080/48700]	Loss: 1.1275	LR: 0.100000
Training Epoch: 13 [46336/48700]	Loss: 0.9707	LR: 0.100000
Training Epoch: 13 [46592/48700]	Loss: 1.0031	LR: 0.100000
Training Epoch: 13 [46848/48700]	Loss: 1.1025	LR: 0.100000
Training Epoch: 13 [47104/48700]	Loss: 1.0516	LR: 0.100000
Training Epoch: 13 [47360/48700]	Loss: 1.0878	LR: 0.100000
Training Epoch: 13 [47616/48700]	Loss: 1.0159	LR: 0.100000
Training Epoch: 13 [47872/48700]	Loss: 0.9986	LR: 0.100000
Training Epoch: 13 [48128/48700]	Loss: 0.9627	LR: 0.100000
Training Epoch: 13 [48384/48700]	Loss: 1.0450	LR: 0.100000
Training Epoch: 13 [48640/48700]	Loss: 0.8918	LR: 0.100000
Training Epoch: 13 [48700/48700]	Loss: 0.8689	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0414, Train Accuracy: 0.6651
Epoch 13 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0062, Accuracy: 0.5644, Time consumed:0.93s
Training Epoch: 14 [256/48700]	Loss: 0.8439	LR: 0.100000
Training Epoch: 14 [512/48700]	Loss: 1.0935	LR: 0.100000
Training Epoch: 14 [768/48700]	Loss: 1.0858	LR: 0.100000
Training Epoch: 14 [1024/48700]	Loss: 1.0154	LR: 0.100000
Training Epoch: 14 [1280/48700]	Loss: 1.0021	LR: 0.100000
Training Epoch: 14 [1536/48700]	Loss: 1.0025	LR: 0.100000
Training Epoch: 14 [1792/48700]	Loss: 0.8744	LR: 0.100000
Training Epoch: 14 [2048/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 14 [2304/48700]	Loss: 1.0436	LR: 0.100000
Training Epoch: 14 [2560/48700]	Loss: 1.0618	LR: 0.100000
Training Epoch: 14 [2816/48700]	Loss: 0.8672	LR: 0.100000
Training Epoch: 14 [3072/48700]	Loss: 0.9448	LR: 0.100000
Training Epoch: 14 [3328/48700]	Loss: 0.9790	LR: 0.100000
Training Epoch: 14 [3584/48700]	Loss: 1.0957	LR: 0.100000
Training Epoch: 14 [3840/48700]	Loss: 1.0406	LR: 0.100000
Training Epoch: 14 [4096/48700]	Loss: 1.0134	LR: 0.100000
Training Epoch: 14 [4352/48700]	Loss: 0.9990	LR: 0.100000
Training Epoch: 14 [4608/48700]	Loss: 0.8387	LR: 0.100000
Training Epoch: 14 [4864/48700]	Loss: 1.0646	LR: 0.100000
Training Epoch: 14 [5120/48700]	Loss: 1.1147	LR: 0.100000
Training Epoch: 14 [5376/48700]	Loss: 1.0289	LR: 0.100000
Training Epoch: 14 [5632/48700]	Loss: 1.1103	LR: 0.100000
Training Epoch: 14 [5888/48700]	Loss: 1.0309	LR: 0.100000
Training Epoch: 14 [6144/48700]	Loss: 0.9947	LR: 0.100000
Training Epoch: 14 [6400/48700]	Loss: 0.9651	LR: 0.100000
Training Epoch: 14 [6656/48700]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [6912/48700]	Loss: 1.0451	LR: 0.100000
Training Epoch: 14 [7168/48700]	Loss: 1.0023	LR: 0.100000
Training Epoch: 14 [7424/48700]	Loss: 0.9960	LR: 0.100000
Training Epoch: 14 [7680/48700]	Loss: 0.9996	LR: 0.100000
Training Epoch: 14 [7936/48700]	Loss: 0.9535	LR: 0.100000
Training Epoch: 14 [8192/48700]	Loss: 0.8919	LR: 0.100000
Training Epoch: 14 [8448/48700]	Loss: 0.8967	LR: 0.100000
Training Epoch: 14 [8704/48700]	Loss: 1.0438	LR: 0.100000
Training Epoch: 14 [8960/48700]	Loss: 1.0261	LR: 0.100000
Training Epoch: 14 [9216/48700]	Loss: 1.0371	LR: 0.100000
Training Epoch: 14 [9472/48700]	Loss: 0.9412	LR: 0.100000
Training Epoch: 14 [9728/48700]	Loss: 1.0413	LR: 0.100000
Training Epoch: 14 [9984/48700]	Loss: 1.1889	LR: 0.100000
Training Epoch: 14 [10240/48700]	Loss: 1.0247	LR: 0.100000
Training Epoch: 14 [10496/48700]	Loss: 1.0818	LR: 0.100000
Training Epoch: 14 [10752/48700]	Loss: 0.9993	LR: 0.100000
Training Epoch: 14 [11008/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 14 [11264/48700]	Loss: 1.0080	LR: 0.100000
Training Epoch: 14 [11520/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 14 [11776/48700]	Loss: 0.9604	LR: 0.100000
Training Epoch: 14 [12032/48700]	Loss: 1.0804	LR: 0.100000
Training Epoch: 14 [12288/48700]	Loss: 1.0544	LR: 0.100000
Training Epoch: 14 [12544/48700]	Loss: 1.1111	LR: 0.100000
Training Epoch: 14 [12800/48700]	Loss: 0.9746	LR: 0.100000
Training Epoch: 14 [13056/48700]	Loss: 0.9118	LR: 0.100000
Training Epoch: 14 [13312/48700]	Loss: 0.9287	LR: 0.100000
Training Epoch: 14 [13568/48700]	Loss: 0.8749	LR: 0.100000
Training Epoch: 14 [13824/48700]	Loss: 1.1666	LR: 0.100000
Training Epoch: 14 [14080/48700]	Loss: 0.8646	LR: 0.100000
Training Epoch: 14 [14336/48700]	Loss: 1.1310	LR: 0.100000
Training Epoch: 14 [14592/48700]	Loss: 0.8928	LR: 0.100000
Training Epoch: 14 [14848/48700]	Loss: 1.0491	LR: 0.100000
Training Epoch: 14 [15104/48700]	Loss: 1.0324	LR: 0.100000
Training Epoch: 14 [15360/48700]	Loss: 1.0244	LR: 0.100000
Training Epoch: 14 [15616/48700]	Loss: 0.9823	LR: 0.100000
Training Epoch: 14 [15872/48700]	Loss: 1.0609	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 1.0990	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 1.0063	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 1.0393	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 1.0668	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 1.0205	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 1.0002	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.9216	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.9298	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 1.1381	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 1.0101	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 1.1668	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 1.0028	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 1.1210	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 1.0318	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 1.0214	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.8906	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 1.0151	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 1.1132	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 1.0148	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 1.0304	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.9559	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 1.0262	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.9186	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.8774	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.8691	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 1.0932	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 0.7917	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.8992	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 1.0256	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.9883	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.9909	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 1.0168	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 0.8987	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 1.0309	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 1.1028	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 1.0304	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 1.0492	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9696	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 1.1183	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 1.1065	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 1.0472	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 1.1317	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 0.9415	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 1.0541	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.9029	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.9177	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 1.0288	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 1.0382	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 1.1487	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.8445	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.9707	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.9496	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.9473	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 1.0658	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.9162	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 1.0783	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.9013	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 1.1680	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9898	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 1.0210	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.9889	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.9940	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.9547	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.9904	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.9130	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.9691	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.8987	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 1.1384	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 1.0066	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 1.1248	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.8686	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 1.0122	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9616	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.9250	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 1.0162	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 0.9977	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.9354	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 1.0359	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.9053	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 1.0485	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 1.1152	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.9492	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 1.0215	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 1.0962	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 1.0798	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 1.0876	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.9774	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 1.0331	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 1.1056	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 1.0919	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 1.0860	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 1.1843	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.9768	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 1.0152	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9573	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 1.0732	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 1.0320	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.9038	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 1.0001	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 1.1853	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 1.1000	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 1.0961	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 0.8419	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 1.1006	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 1.0692	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 1.2303	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 1.0043	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 1.0449	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 1.0945	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 1.0400	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 1.0875	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.9774	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 1.0912	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 1.0658	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 1.0238	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 0.9554	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 1.2128	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 0.8590	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 1.2433	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 1.0305	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 1.0493	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9675	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 0.9385	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 0.9849	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 1.0812	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.9293	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0140, Train Accuracy: 0.6747
Epoch 14 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0058, Accuracy: 0.5797, Time consumed:0.91s
Training Epoch: 15 [256/48700]	Loss: 0.9392	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8531	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 0.8548	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.8375	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.8814	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.8547	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.9045	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.8795	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8505	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.8676	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.8167	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 1.0328	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.6919	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.8088	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.8833	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.8330	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.9684	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.8661	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.7974	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.9519	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 1.0003	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.8238	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7267	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7919	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.8723	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.7206	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.9228	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.7832	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.8458	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.8720	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.8076	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.8249	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.8993	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.8300	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7336	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.7887	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.8397	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.8259	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.7197	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.7854	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.7971	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7215	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.8092	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.7643	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.8003	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.6980	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7585	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.7946	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.6631	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.7573	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.7859	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.7528	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.8447	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.9040	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.7533	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.8432	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.7664	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.7112	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.7924	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.7613	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.7478	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.6873	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.7453	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.7569	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.7306	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.6717	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.7488	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.9374	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.7832	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.8091	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.8465	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.8449	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.6712	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.8554	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.8238	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.7293	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.7714	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.6974	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.8531	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.7446	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.7227	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.7215	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.7756	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.7189	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.7202	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.7310	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.7202	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.8424	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.7676	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.7389	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.6863	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.7433	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.7952	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.8057	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.8732	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.7543	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.7994	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.8540	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.8221	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.7255	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.7448	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.6807	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.7662	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.9048	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.7462	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.8165	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.7002	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.7412	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.7074	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.7767	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.7828	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.9131	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.7178	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.7702	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.6455	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.7939	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.7369	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.6953	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.7120	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.6626	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.6839	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.7531	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.7399	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.8638	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.6753	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.6736	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.8300	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.7066	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.7956	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.7305	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.8044	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.7329	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.7708	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.7438	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.6715	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.7974	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.7223	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.9159	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.6832	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.8336	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.7203	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.8054	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.7337	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.7961	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.8514	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.7773	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.7428	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.7387	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.8455	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.7631	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.7172	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.6856	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.6910	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.7054	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.7864	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.7950	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6344	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.6700	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.6644	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.8316	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.7333	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.6878	LR: 0.020000
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Training Epoch: 15 [42240/48700]	Loss: 0.7568	LR: 0.020000
Training Epoch: 15 [42496/48700]	Loss: 0.7848	LR: 0.020000
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Training Epoch: 15 [43264/48700]	Loss: 0.7426	LR: 0.020000
Training Epoch: 15 [43520/48700]	Loss: 0.7606	LR: 0.020000
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Training Epoch: 15 [48128/48700]	Loss: 0.6979	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.7743	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.8346	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.8541	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7755, Train Accuracy: 0.7537
Epoch 15 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7278, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.6572	LR: 0.020000
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Training Epoch: 16 [48640/48700]	Loss: 0.7428	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.8044	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7031, Train Accuracy: 0.7749
Epoch 16 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7312, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.6507	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.5537	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6758, Train Accuracy: 0.7818
Epoch 17 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7430, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.5499	LR: 0.020000
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Training Epoch: 18 [41728/48700]	Loss: 0.6533	LR: 0.020000
Training Epoch: 18 [41984/48700]	Loss: 0.6177	LR: 0.020000
Training Epoch: 18 [42240/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 18 [42496/48700]	Loss: 0.7172	LR: 0.020000
Training Epoch: 18 [42752/48700]	Loss: 0.6500	LR: 0.020000
Training Epoch: 18 [43008/48700]	Loss: 0.6767	LR: 0.020000
Training Epoch: 18 [43264/48700]	Loss: 0.6751	LR: 0.020000
Training Epoch: 18 [43520/48700]	Loss: 0.6565	LR: 0.020000
Training Epoch: 18 [43776/48700]	Loss: 0.7136	LR: 0.020000
Training Epoch: 18 [44032/48700]	Loss: 0.6821	LR: 0.020000
Training Epoch: 18 [44288/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 18 [44544/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 18 [44800/48700]	Loss: 0.6448	LR: 0.020000
Training Epoch: 18 [45056/48700]	Loss: 0.6055	LR: 0.020000
Training Epoch: 18 [45312/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.6424	LR: 0.020000
Training Epoch: 18 [45824/48700]	Loss: 0.7023	LR: 0.020000
Training Epoch: 18 [46080/48700]	Loss: 0.7107	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.6937	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.7263	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.6211	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.6823	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.6883	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.7424	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.8025	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.6189	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.5782	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6545, Train Accuracy: 0.7894
Epoch 18 training time consumed: 27.41s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0035, Accuracy: 0.7357, Time consumed:0.87s
Training Epoch: 19 [256/48700]	Loss: 0.6265	LR: 0.020000
Training Epoch: 19 [512/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 19 [768/48700]	Loss: 0.5952	LR: 0.020000
Training Epoch: 19 [1024/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 19 [1280/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 19 [1536/48700]	Loss: 0.6131	LR: 0.020000
Training Epoch: 19 [1792/48700]	Loss: 0.6008	LR: 0.020000
Training Epoch: 19 [2048/48700]	Loss: 0.6056	LR: 0.020000
Training Epoch: 19 [2304/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 19 [2560/48700]	Loss: 0.5971	LR: 0.020000
Training Epoch: 19 [2816/48700]	Loss: 0.6375	LR: 0.020000
Training Epoch: 19 [3072/48700]	Loss: 0.7647	LR: 0.020000
Training Epoch: 19 [3328/48700]	Loss: 0.5339	LR: 0.020000
Training Epoch: 19 [3584/48700]	Loss: 0.7264	LR: 0.020000
Training Epoch: 19 [3840/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 19 [4096/48700]	Loss: 0.6778	LR: 0.020000
Training Epoch: 19 [4352/48700]	Loss: 0.6043	LR: 0.020000
Training Epoch: 19 [4608/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 19 [4864/48700]	Loss: 0.6408	LR: 0.020000
Training Epoch: 19 [5120/48700]	Loss: 0.5993	LR: 0.020000
Training Epoch: 19 [5376/48700]	Loss: 0.6699	LR: 0.020000
Training Epoch: 19 [5632/48700]	Loss: 0.5608	LR: 0.020000
Training Epoch: 19 [5888/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 19 [6144/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 19 [6400/48700]	Loss: 0.6110	LR: 0.020000
Training Epoch: 19 [6656/48700]	Loss: 0.6415	LR: 0.020000
Training Epoch: 19 [6912/48700]	Loss: 0.5579	LR: 0.020000
Training Epoch: 19 [7168/48700]	Loss: 0.6028	LR: 0.020000
Training Epoch: 19 [7424/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 19 [7680/48700]	Loss: 0.6621	LR: 0.020000
Training Epoch: 19 [7936/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 19 [8192/48700]	Loss: 0.7519	LR: 0.020000
Training Epoch: 19 [8448/48700]	Loss: 0.6234	LR: 0.020000
Training Epoch: 19 [8704/48700]	Loss: 0.6278	LR: 0.020000
Training Epoch: 19 [8960/48700]	Loss: 0.5847	LR: 0.020000
Training Epoch: 19 [9216/48700]	Loss: 0.6116	LR: 0.020000
Training Epoch: 19 [9472/48700]	Loss: 0.6485	LR: 0.020000
Training Epoch: 19 [9728/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 19 [9984/48700]	Loss: 0.5687	LR: 0.020000
Training Epoch: 19 [10240/48700]	Loss: 0.5720	LR: 0.020000
Training Epoch: 19 [10496/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 19 [10752/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 19 [11008/48700]	Loss: 0.7185	LR: 0.020000
Training Epoch: 19 [11264/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 19 [11520/48700]	Loss: 0.6514	LR: 0.020000
Training Epoch: 19 [11776/48700]	Loss: 0.6535	LR: 0.020000
Training Epoch: 19 [12032/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 19 [12288/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 19 [12544/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 19 [12800/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 19 [13056/48700]	Loss: 0.6197	LR: 0.020000
Training Epoch: 19 [13312/48700]	Loss: 0.6600	LR: 0.020000
Training Epoch: 19 [13568/48700]	Loss: 0.5962	LR: 0.020000
Training Epoch: 19 [13824/48700]	Loss: 0.5652	LR: 0.020000
Training Epoch: 19 [14080/48700]	Loss: 0.6171	LR: 0.020000
Training Epoch: 19 [14336/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 19 [14592/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 19 [14848/48700]	Loss: 0.6392	LR: 0.020000
Training Epoch: 19 [15104/48700]	Loss: 0.7311	LR: 0.020000
Training Epoch: 19 [15360/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 19 [15616/48700]	Loss: 0.6782	LR: 0.020000
Training Epoch: 19 [15872/48700]	Loss: 0.7598	LR: 0.020000
Training Epoch: 19 [16128/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 19 [16384/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 19 [16640/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 19 [16896/48700]	Loss: 0.6768	LR: 0.020000
Training Epoch: 19 [17152/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 19 [17408/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 19 [17664/48700]	Loss: 0.5050	LR: 0.020000
Training Epoch: 19 [17920/48700]	Loss: 0.6160	LR: 0.020000
Training Epoch: 19 [18176/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 19 [18432/48700]	Loss: 0.7158	LR: 0.020000
Training Epoch: 19 [18688/48700]	Loss: 0.7336	LR: 0.020000
Training Epoch: 19 [18944/48700]	Loss: 0.6386	LR: 0.020000
Training Epoch: 19 [19200/48700]	Loss: 0.6996	LR: 0.020000
Training Epoch: 19 [19456/48700]	Loss: 0.6329	LR: 0.020000
Training Epoch: 19 [19712/48700]	Loss: 0.6333	LR: 0.020000
Training Epoch: 19 [19968/48700]	Loss: 0.4797	LR: 0.020000
Training Epoch: 19 [20224/48700]	Loss: 0.5971	LR: 0.020000
Training Epoch: 19 [20480/48700]	Loss: 0.6614	LR: 0.020000
Training Epoch: 19 [20736/48700]	Loss: 0.6867	LR: 0.020000
Training Epoch: 19 [20992/48700]	Loss: 0.6351	LR: 0.020000
Training Epoch: 19 [21248/48700]	Loss: 0.5633	LR: 0.020000
Training Epoch: 19 [21504/48700]	Loss: 0.6567	LR: 0.020000
Training Epoch: 19 [21760/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 19 [22016/48700]	Loss: 0.6782	LR: 0.020000
Training Epoch: 19 [22272/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 19 [22528/48700]	Loss: 0.7010	LR: 0.020000
Training Epoch: 19 [22784/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 19 [23040/48700]	Loss: 0.6483	LR: 0.020000
Training Epoch: 19 [23296/48700]	Loss: 0.6877	LR: 0.020000
Training Epoch: 19 [23552/48700]	Loss: 0.6633	LR: 0.020000
Training Epoch: 19 [23808/48700]	Loss: 0.6914	LR: 0.020000
Training Epoch: 19 [24064/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 19 [24320/48700]	Loss: 0.7469	LR: 0.020000
Training Epoch: 19 [24576/48700]	Loss: 0.6430	LR: 0.020000
Training Epoch: 19 [24832/48700]	Loss: 0.7292	LR: 0.020000
Training Epoch: 19 [25088/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 19 [25344/48700]	Loss: 0.6314	LR: 0.020000
Training Epoch: 19 [25600/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 19 [25856/48700]	Loss: 0.7293	LR: 0.020000
Training Epoch: 19 [26112/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 19 [26368/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 19 [26624/48700]	Loss: 0.7193	LR: 0.020000
Training Epoch: 19 [26880/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 19 [27136/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 19 [27392/48700]	Loss: 0.6945	LR: 0.020000
Training Epoch: 19 [27648/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 19 [27904/48700]	Loss: 0.7141	LR: 0.020000
Training Epoch: 19 [28160/48700]	Loss: 0.6103	LR: 0.020000
Training Epoch: 19 [28416/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 19 [28672/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 19 [28928/48700]	Loss: 0.5538	LR: 0.020000
Training Epoch: 19 [29184/48700]	Loss: 0.5608	LR: 0.020000
Training Epoch: 19 [29440/48700]	Loss: 0.7738	LR: 0.020000
Training Epoch: 19 [29696/48700]	Loss: 0.6202	LR: 0.020000
Training Epoch: 19 [29952/48700]	Loss: 0.7137	LR: 0.020000
Training Epoch: 19 [30208/48700]	Loss: 0.6780	LR: 0.020000
Training Epoch: 19 [30464/48700]	Loss: 0.6036	LR: 0.020000
Training Epoch: 19 [30720/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 19 [30976/48700]	Loss: 0.6451	LR: 0.020000
Training Epoch: 19 [31232/48700]	Loss: 0.6983	LR: 0.020000
Training Epoch: 19 [31488/48700]	Loss: 0.6872	LR: 0.020000
Training Epoch: 19 [31744/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 19 [32000/48700]	Loss: 0.6902	LR: 0.020000
Training Epoch: 19 [32256/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 19 [32512/48700]	Loss: 0.6044	LR: 0.020000
Training Epoch: 19 [32768/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 19 [33024/48700]	Loss: 0.5750	LR: 0.020000
Training Epoch: 19 [33280/48700]	Loss: 0.7140	LR: 0.020000
Training Epoch: 19 [33536/48700]	Loss: 0.7261	LR: 0.020000
Training Epoch: 19 [33792/48700]	Loss: 0.6592	LR: 0.020000
Training Epoch: 19 [34048/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 19 [34304/48700]	Loss: 0.6880	LR: 0.020000
Training Epoch: 19 [34560/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 19 [34816/48700]	Loss: 0.6329	LR: 0.020000
Training Epoch: 19 [35072/48700]	Loss: 0.6341	LR: 0.020000
Training Epoch: 19 [35328/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 19 [35584/48700]	Loss: 0.6374	LR: 0.020000
Training Epoch: 19 [35840/48700]	Loss: 0.6647	LR: 0.020000
Training Epoch: 19 [36096/48700]	Loss: 0.6176	LR: 0.020000
Training Epoch: 19 [36352/48700]	Loss: 0.6203	LR: 0.020000
Training Epoch: 19 [36608/48700]	Loss: 0.5507	LR: 0.020000
Training Epoch: 19 [36864/48700]	Loss: 0.6436	LR: 0.020000
Training Epoch: 19 [37120/48700]	Loss: 0.6786	LR: 0.020000
Training Epoch: 19 [37376/48700]	Loss: 0.6208	LR: 0.020000
Training Epoch: 19 [37632/48700]	Loss: 0.6429	LR: 0.020000
Training Epoch: 19 [37888/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 19 [38144/48700]	Loss: 0.6976	LR: 0.020000
Training Epoch: 19 [38400/48700]	Loss: 0.6370	LR: 0.020000
Training Epoch: 19 [38656/48700]	Loss: 0.7266	LR: 0.020000
Training Epoch: 19 [38912/48700]	Loss: 0.7089	LR: 0.020000
Training Epoch: 19 [39168/48700]	Loss: 0.6033	LR: 0.020000
Training Epoch: 19 [39424/48700]	Loss: 0.6964	LR: 0.020000
Training Epoch: 19 [39680/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 19 [39936/48700]	Loss: 0.6433	LR: 0.020000
Training Epoch: 19 [40192/48700]	Loss: 0.6857	LR: 0.020000
Training Epoch: 19 [40448/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 19 [40704/48700]	Loss: 0.6330	LR: 0.020000
Training Epoch: 19 [40960/48700]	Loss: 0.7018	LR: 0.020000
Training Epoch: 19 [41216/48700]	Loss: 0.7120	LR: 0.020000
Training Epoch: 19 [41472/48700]	Loss: 0.7319	LR: 0.020000
Training Epoch: 19 [41728/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 19 [41984/48700]	Loss: 0.6372	LR: 0.020000
Training Epoch: 19 [42240/48700]	Loss: 0.6987	LR: 0.020000
Training Epoch: 19 [42496/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 19 [42752/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 19 [43008/48700]	Loss: 0.7000	LR: 0.020000
Training Epoch: 19 [43264/48700]	Loss: 0.6707	LR: 0.020000
Training Epoch: 19 [43520/48700]	Loss: 0.6128	LR: 0.020000
Training Epoch: 19 [43776/48700]	Loss: 0.7192	LR: 0.020000
Training Epoch: 19 [44032/48700]	Loss: 0.6403	LR: 0.020000
Training Epoch: 19 [44288/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 19 [44544/48700]	Loss: 0.6414	LR: 0.020000
Training Epoch: 19 [44800/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 19 [45056/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 19 [45312/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 19 [45568/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 19 [45824/48700]	Loss: 0.7108	LR: 0.020000
Training Epoch: 19 [46080/48700]	Loss: 0.7314	LR: 0.020000
Training Epoch: 19 [46336/48700]	Loss: 0.7231	LR: 0.020000
Training Epoch: 19 [46592/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 19 [46848/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 19 [47104/48700]	Loss: 0.7885	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.6375	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.7275	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.6798	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.7806	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6275, Train Accuracy: 0.7974
Epoch 19 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0035, Accuracy: 0.7330, Time consumed:0.94s
Training Epoch: 20 [256/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.5816	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.5375	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.5408	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 20 [1792/48700]	Loss: 0.7442	LR: 0.020000
Training Epoch: 20 [2048/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 20 [2304/48700]	Loss: 0.6602	LR: 0.020000
Training Epoch: 20 [2560/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 20 [2816/48700]	Loss: 0.6295	LR: 0.020000
Training Epoch: 20 [3072/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 20 [3328/48700]	Loss: 0.6426	LR: 0.020000
Training Epoch: 20 [3584/48700]	Loss: 0.6677	LR: 0.020000
Training Epoch: 20 [3840/48700]	Loss: 0.6681	LR: 0.020000
Training Epoch: 20 [4096/48700]	Loss: 0.5725	LR: 0.020000
Training Epoch: 20 [4352/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 20 [4608/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 20 [4864/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 20 [5120/48700]	Loss: 0.6916	LR: 0.020000
Training Epoch: 20 [5376/48700]	Loss: 0.5742	LR: 0.020000
Training Epoch: 20 [5632/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 20 [5888/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 20 [6144/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 20 [6400/48700]	Loss: 0.6764	LR: 0.020000
Training Epoch: 20 [6656/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 20 [6912/48700]	Loss: 0.6622	LR: 0.020000
Training Epoch: 20 [7168/48700]	Loss: 0.6702	LR: 0.020000
Training Epoch: 20 [7424/48700]	Loss: 0.6238	LR: 0.020000
Training Epoch: 20 [7680/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 20 [7936/48700]	Loss: 0.6305	LR: 0.020000
Training Epoch: 20 [8192/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 20 [8448/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 20 [8704/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 20 [8960/48700]	Loss: 0.7555	LR: 0.020000
Training Epoch: 20 [9216/48700]	Loss: 0.7394	LR: 0.020000
Training Epoch: 20 [9472/48700]	Loss: 0.6883	LR: 0.020000
Training Epoch: 20 [9728/48700]	Loss: 0.7271	LR: 0.020000
Training Epoch: 20 [9984/48700]	Loss: 0.5710	LR: 0.020000
Training Epoch: 20 [10240/48700]	Loss: 0.6622	LR: 0.020000
Training Epoch: 20 [10496/48700]	Loss: 0.7888	LR: 0.020000
Training Epoch: 20 [10752/48700]	Loss: 0.6287	LR: 0.020000
Training Epoch: 20 [11008/48700]	Loss: 0.6432	LR: 0.020000
Training Epoch: 20 [11264/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 20 [11520/48700]	Loss: 0.6254	LR: 0.020000
Training Epoch: 20 [11776/48700]	Loss: 0.6448	LR: 0.020000
Training Epoch: 20 [12032/48700]	Loss: 0.6505	LR: 0.020000
Training Epoch: 20 [12288/48700]	Loss: 0.6310	LR: 0.020000
Training Epoch: 20 [12544/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 20 [12800/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 20 [13056/48700]	Loss: 0.7019	LR: 0.020000
Training Epoch: 20 [13312/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 20 [13568/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 20 [13824/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 20 [14080/48700]	Loss: 0.6120	LR: 0.020000
Training Epoch: 20 [14336/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 20 [14592/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 20 [14848/48700]	Loss: 0.6621	LR: 0.020000
Training Epoch: 20 [15104/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 20 [15360/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.6124	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.5986	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.5752	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.6991	LR: 0.020000
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Training Epoch: 20 [48700/48700]	Loss: 0.7272	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6132, Train Accuracy: 0.8023
Epoch 20 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7448, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-20-best.pth
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Training Epoch: 21 [47872/48700]	Loss: 0.6856	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.6024	LR: 0.020000
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Training Epoch: 21 [48640/48700]	Loss: 0.6099	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.6124	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5990, Train Accuracy: 0.8058
Epoch 21 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0034, Accuracy: 0.7455, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-21-best.pth
Training Epoch: 22 [256/48700]	Loss: 0.5026	LR: 0.020000
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Training Epoch: 22 [47872/48700]	Loss: 0.6539	LR: 0.020000
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Training Epoch: 22 [48700/48700]	Loss: 0.5950	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5860, Train Accuracy: 0.8097
Epoch 22 training time consumed: 26.91s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7410, Time consumed:0.90s
Training Epoch: 23 [256/48700]	Loss: 0.5812	LR: 0.020000
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Training Epoch: 23 [15872/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.5733	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.5385	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.6697	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.6191	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.6431	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.6871	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.6496	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.6076	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.6539	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.6345	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.5636	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.5702	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.6720	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.6327	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.6136	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.6351	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.5761	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.6387	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5753	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.6051	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.7224	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.5463	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.6540	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.6641	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.6628	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.6535	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.5640	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.6650	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.5108	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5005	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.6603	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.5689	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.6142	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.5773	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.6091	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5944	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.6457	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.6702	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.5794	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.6235	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.6528	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.5236	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5504	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.6753	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.6120	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.6507	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4903	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.6205	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.5677	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.5832	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.6512	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.6323	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5739, Train Accuracy: 0.8137
Epoch 23 training time consumed: 26.81s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7388, Time consumed:0.94s
Training Epoch: 24 [256/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.6275	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.6333	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.4865	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.5236	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.6280	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.5591	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.6377	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.6767	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.6028	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.5386	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.5880	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.5460	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.6043	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.6075	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.5769	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.7124	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.6156	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.5133	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.6737	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.5185	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5445	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.6032	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.6433	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.6344	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.6128	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.4690	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.5494	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.5279	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.5125	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.5595	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.6224	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.5926	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.6182	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.5890	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.6555	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.4925	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.6575	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.5889	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.5819	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.6563	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.6151	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.5679	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.5418	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.6044	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.5400	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.6588	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.6715	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.6332	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.7065	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.5879	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.5065	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5749	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.5932	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.6151	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.6712	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.5599	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5707	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.6853	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.5591	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.6518	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.5614	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.6203	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.6436	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5577, Train Accuracy: 0.8200
Epoch 24 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0035, Accuracy: 0.7425, Time consumed:0.97s
Training Epoch: 25 [256/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.6731	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.6815	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.6935	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.5658	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.6633	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.5738	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.6212	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.5021	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.6852	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.6225	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.6846	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.5047	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.5943	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.7158	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.5896	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.5218	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.5639	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.5328	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.5753	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.5775	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.5897	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.6878	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.4896	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.4932	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.6275	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.5870	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.5677	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.4935	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.5886	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.5489	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.6007	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.5800	LR: 0.020000
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Training Epoch: 25 [21248/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.6238	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.5328	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.6152	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.6056	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.5022	LR: 0.020000
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Training Epoch: 25 [27904/48700]	Loss: 0.6401	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.5059	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.4629	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.6001	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.5389	LR: 0.020000
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Training Epoch: 25 [30464/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.5473	LR: 0.020000
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Training Epoch: 25 [32256/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 25 [32512/48700]	Loss: 0.5614	LR: 0.020000
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Training Epoch: 25 [33024/48700]	Loss: 0.6015	LR: 0.020000
Training Epoch: 25 [33280/48700]	Loss: 0.6833	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 25 [34048/48700]	Loss: 0.4650	LR: 0.020000
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Training Epoch: 25 [35328/48700]	Loss: 0.5176	LR: 0.020000
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Training Epoch: 25 [35840/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.5372	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.6030	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.6500	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.5577	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.6861	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.6208	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.5724	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.6231	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.5607	LR: 0.020000
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Training Epoch: 25 [39936/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.6226	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.5165	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.5870	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.6021	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.5769	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.6305	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.5777	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.6491	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.5729	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.5962	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.6641	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.6830	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.6702	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.6567	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.5785	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.6307	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.6118	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.5895	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5622, Train Accuracy: 0.8157
Epoch 25 training time consumed: 26.70s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7290, Time consumed:0.90s
Training Epoch: 26 [256/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.5429	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.5337	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.5983	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.4904	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.5219	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.6208	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.4146	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.5971	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.6267	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.5543	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.6457	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.5662	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.4200	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.6640	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.5841	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.5448	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.5641	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.5841	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.6732	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.6396	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.5988	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.6065	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5683	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.4711	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.6612	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.5285	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.4986	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.6060	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.5163	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.6382	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.5611	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.4537	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.6628	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.6140	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.6250	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.6430	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.4993	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.6766	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.5679	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.4966	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.6574	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.6364	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.5657	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.6417	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.6021	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.6311	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.6849	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.5602	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.6389	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.5819	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.5538	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.5591	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.5877	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.4617	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.5424	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.6434	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.4949	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.5538	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.6918	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.6468	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.6045	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.9265	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5446, Train Accuracy: 0.8239
Epoch 26 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7440, Time consumed:0.90s
Training Epoch: 27 [256/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.4598	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.5137	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.6541	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.6561	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.5772	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.4731	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.6201	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.5820	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.4622	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.5408	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.5196	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.5160	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.4352	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.6273	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.6234	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.5815	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.5285	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.4253	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.6315	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.5792	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.6009	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.4711	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.4898	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.5911	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.5352	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.5564	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.4525	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.4802	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.5530	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.6425	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.4556	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.6614	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.5733	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.5933	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.4767	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.6149	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.5306	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.5614	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.6342	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.6969	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.5853	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4696	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.6325	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.6142	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.5041	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.5373	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.6831	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.5847	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.6577	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4821	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.5521	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.7038	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.7011	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.6078	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5352, Train Accuracy: 0.8274
Epoch 27 training time consumed: 26.65s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0038, Accuracy: 0.7247, Time consumed:0.88s
Training Epoch: 28 [256/48700]	Loss: 0.4695	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.5158	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.6680	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.5887	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.5463	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.5275	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.5158	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.5563	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.4691	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.4287	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.5327	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.4620	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.6121	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.5731	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.6435	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.6532	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.6111	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.6086	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.5880	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.5705	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.6129	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.5891	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.5710	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.4186	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.4337	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.5289	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.5904	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.6064	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.5269	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.5415	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.5307	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.5032	LR: 0.020000
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Training Epoch: 28 [34560/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.6194	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.5866	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.5739	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.5468	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.6744	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.6082	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.6184	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.4584	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.5057	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.4964	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.4613	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.5101	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.4409	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.4666	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.4771	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.4551	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.5294	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.6161	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.5196	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.4516	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5252, Train Accuracy: 0.8316
Epoch 28 training time consumed: 26.82s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7396, Time consumed:0.93s
Training Epoch: 29 [256/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.5662	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.4525	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.4240	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.5485	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.7318	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.5128	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.4854	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.4756	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.4735	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.5933	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.4709	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.5008	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.5658	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.5260	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.4619	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.5459	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.5327	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.4807	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.5515	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.5644	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.5809	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.4328	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.5400	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.5377	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.5272	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.5166	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.5381	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.6380	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.4831	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.5653	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.6576	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4222	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.4762	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.5445	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.4551	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.4627	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.5342	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.5940	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.5057	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.6439	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.5927	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.5994	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.5536	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.6417	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.6828	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.5520	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.6447	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.4724	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.5864	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.6400	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.5988	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5161, Train Accuracy: 0.8316
Epoch 29 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0037, Accuracy: 0.7362, Time consumed:0.95s
Training Epoch: 30 [256/48700]	Loss: 0.4519	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.5542	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.4178	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.5445	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.4425	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.6534	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.5077	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.4345	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.5044	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.5124	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.4874	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.4452	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.5438	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.5070	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.5007	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.4355	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.4832	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.4616	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.3766	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.3058	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.4151	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.5057	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.5056	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.3719	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.4641	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.5055	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.4307	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.3486	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.3596	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.3868	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.4525	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.5246	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.4346	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.4214	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.3815	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.4431	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.3472	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.4299	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.3951	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.4358	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.3430	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.4678	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.4179	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.3992	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.4079	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.3442	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.3556	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.3322	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.4023	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.3903	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.4410	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.5129	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.4210	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.4459	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.4480	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.4607	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.3890	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.4056	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.4168	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.3763	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.4262	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.4080	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.3337	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.3862	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.3612	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.3847	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.4953	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.4322	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.3309	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.4505	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.4073	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.3365	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.4310	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.3508	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.3433	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.4211	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.4392	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.3951	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.4380	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.4488	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.4328	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.3845	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.4044	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.3637	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.3555	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.3850	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.4453	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.3602	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3479	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.4526	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.3555	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.3699	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.5104	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.4981	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.3929	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.4104	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.3710	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.4027	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.3725	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.4347	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3974	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.3562	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.4075	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.3616	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2789	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.4209	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.3922	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.3594	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.3945	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.3351	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.3360	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.3320	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.3330	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.4271	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.4245	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.3496	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.4656	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.3625	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.3727	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.4497	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.4326	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.4732	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.4530	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.3993	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.4180	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.3767	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.4204	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.3347	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.2985	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.4263	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.3402	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.3328	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.3885	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.3612	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.3447	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.4533	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.3689	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.3331	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2928	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.3696	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.3501	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.3415	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.3917	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.4033	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.3658	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.4675	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.3055	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.3402	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.4031	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.3840	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.2952	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.4078	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.3388	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.4050	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.3048	LR: 0.004000
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Training Epoch: 30 [43776/48700]	Loss: 0.4069	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.3500	LR: 0.004000
Training Epoch: 30 [44288/48700]	Loss: 0.3705	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.4852	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.4306	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.3820	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.4702	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.3358	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.4432	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.3439	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.3997	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.4014	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.3521	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.3737	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.3938	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.3331	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.3975	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.3676	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.3614	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.3527	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.3705	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4017, Train Accuracy: 0.8742
Epoch 30 training time consumed: 26.71s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7829, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.3938	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.3307	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.3347	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.3312	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.2921	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.2719	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.2934	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.3519	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.3754	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.3047	LR: 0.004000
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Training Epoch: 31 [5632/48700]	Loss: 0.3515	LR: 0.004000
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Training Epoch: 31 [10496/48700]	Loss: 0.3153	LR: 0.004000
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Training Epoch: 31 [12032/48700]	Loss: 0.3774	LR: 0.004000
Training Epoch: 31 [12288/48700]	Loss: 0.3161	LR: 0.004000
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Training Epoch: 31 [13312/48700]	Loss: 0.3161	LR: 0.004000
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Training Epoch: 31 [15616/48700]	Loss: 0.3896	LR: 0.004000
Training Epoch: 31 [15872/48700]	Loss: 0.2946	LR: 0.004000
Training Epoch: 31 [16128/48700]	Loss: 0.3166	LR: 0.004000
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Training Epoch: 31 [37888/48700]	Loss: 0.4085	LR: 0.004000
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Training Epoch: 31 [44288/48700]	Loss: 0.3364	LR: 0.004000
Training Epoch: 31 [44544/48700]	Loss: 0.3593	LR: 0.004000
Training Epoch: 31 [44800/48700]	Loss: 0.3566	LR: 0.004000
Training Epoch: 31 [45056/48700]	Loss: 0.3730	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.3500	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.3464	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.4600	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.3753	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.3946	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.4087	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.3884	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.3365	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.3380	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.3518	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.3287	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.3563	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.4049	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.3343	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3697	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3659, Train Accuracy: 0.8860
Epoch 31 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7790, Time consumed:0.96s
Training Epoch: 32 [256/48700]	Loss: 0.3040	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.3345	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.3772	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.3503	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.3640	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.3845	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.3938	LR: 0.004000
Training Epoch: 32 [2304/48700]	Loss: 0.3016	LR: 0.004000
Training Epoch: 32 [2560/48700]	Loss: 0.3458	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.3306	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.3946	LR: 0.004000
Training Epoch: 32 [3328/48700]	Loss: 0.3028	LR: 0.004000
Training Epoch: 32 [3584/48700]	Loss: 0.3969	LR: 0.004000
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Training Epoch: 32 [4096/48700]	Loss: 0.3458	LR: 0.004000
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Training Epoch: 32 [15360/48700]	Loss: 0.3273	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.4134	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.3465	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.3976	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.2770	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.3281	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.2929	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.3901	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.3327	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.3869	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.3579	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.2878	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.3410	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.3546	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.3818	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.2850	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.2930	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.3751	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.2848	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.4278	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.3574	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.2553	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.3677	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.2834	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.3916	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.3593	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.3554	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.3168	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.3926	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.2683	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.2893	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.3775	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.3579	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.2904	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.3232	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.3156	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.3597	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.3040	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.3037	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.4035	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.2942	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.2851	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.3643	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.4167	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.3743	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.2995	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.3986	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.3800	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.3111	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.3642	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.3264	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.3592	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.3372	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.3940	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.2802	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.3924	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.3337	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.3400	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.3254	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.3389	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.3357	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.4125	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.3211	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.2863	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.3181	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.3411	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.3825	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.3751	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.3324	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.3257	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.3716	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.3372	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.3553	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.3150	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.2678	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.3877	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.3208	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.3540	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.4045	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.3552	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.3674	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.3275	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.4292	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.3413	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.3648	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.3141	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.3674	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.3526	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.3473	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.4038	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.3472	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.3009	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.4533	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.3464	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.3045	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.3197	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.4246	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.3092	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.3916	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.4418	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.3781	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.3537	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.4082	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.3730	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.2914	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.3154	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.2847	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.3506	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.2578	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.3869	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.3067	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.3336	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.4266	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.3376	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.2946	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.3226	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.3551	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.2767	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.3411	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.3687	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.3867	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.3764	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.3178	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.4229	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2159	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3484, Train Accuracy: 0.8930
Epoch 32 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0031, Accuracy: 0.7786, Time consumed:0.90s
Training Epoch: 33 [256/48700]	Loss: 0.2723	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.3299	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.3178	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.3486	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.2628	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.3243	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.3101	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.2335	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.2910	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.3175	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.3193	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.4177	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.3048	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.2701	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.3323	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.3686	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.2980	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.3411	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.3415	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.3650	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.2986	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.3507	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.4249	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.2811	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.4207	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.3022	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.3195	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.3737	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.4128	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.3476	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.3338	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.3514	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.3351	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.3767	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.4545	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.3146	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.3938	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.3506	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.3488	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.3337	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.2706	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.2779	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.3296	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.3067	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.3759	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.3057	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.3166	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.3863	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.2958	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.3534	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.3543	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.3418	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.3022	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.3645	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.3398	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.3318	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.3409	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.3968	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.3766	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.3448	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.3486	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.4139	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.2995	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.3838	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.3885	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.2970	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.3128	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.2858	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.2876	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.4086	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.2856	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.2438	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.3183	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.3102	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.3799	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.3405	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.2820	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.2649	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.3792	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.3473	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.3930	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.3209	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.3000	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.4331	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.3997	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.3922	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.4018	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.3741	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.3548	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.4038	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.3428	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.3410	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.3572	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.3343	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.3258	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.3322	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.4347	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.4052	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.3622	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.3165	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.3177	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.2729	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.2926	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.3899	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.2867	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.3961	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.3581	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.3426	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.3699	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.3251	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.3955	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.3676	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.3294	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.3383	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.3977	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.3330	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.3473	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.3005	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.3720	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.3246	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.3267	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.3317	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.2946	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.3531	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.2734	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.2596	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.3182	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.3495	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.3647	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.3661	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.3688	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.4061	LR: 0.004000
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Training Epoch: 33 [45056/48700]	Loss: 0.3242	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.3338	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.3236	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.3238	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.3028	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.4338	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.3290	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.4159	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.3609	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.3844	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.3380	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.3725	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.3466	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.3909	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3423, Train Accuracy: 0.8948
Epoch 33 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7834, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-33-best.pth
Training Epoch: 34 [256/48700]	Loss: 0.3435	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.3974	LR: 0.004000
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Training Epoch: 34 [1280/48700]	Loss: 0.3068	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.2552	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.3037	LR: 0.004000
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Training Epoch: 34 [45568/48700]	Loss: 0.3061	LR: 0.004000
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Training Epoch: 34 [46080/48700]	Loss: 0.2825	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.3399	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.3478	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.4111	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.2944	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.2535	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.3831	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.3074	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.3062	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.3172	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.4020	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3328, Train Accuracy: 0.8968
Epoch 34 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7800, Time consumed:0.89s
Training Epoch: 35 [256/48700]	Loss: 0.3716	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.3286	LR: 0.000800
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Training Epoch: 35 [1024/48700]	Loss: 0.2787	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.2980	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.3788	LR: 0.000800
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Training Epoch: 35 [22016/48700]	Loss: 0.2940	LR: 0.000800
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Training Epoch: 35 [32512/48700]	Loss: 0.3245	LR: 0.000800
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Training Epoch: 35 [42752/48700]	Loss: 0.3035	LR: 0.000800
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Training Epoch: 35 [45056/48700]	Loss: 0.3338	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.2884	LR: 0.000800
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Training Epoch: 35 [46080/48700]	Loss: 0.3652	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.3511	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.2369	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.3378	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.2681	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.2979	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.3194	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.2434	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.5430	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3039, Train Accuracy: 0.9093
Epoch 35 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7855, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.3141	LR: 0.000800
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Training Epoch: 36 [15872/48700]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [16128/48700]	Loss: 0.2511	LR: 0.000800
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Training Epoch: 36 [37888/48700]	Loss: 0.2855	LR: 0.000800
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Training Epoch: 36 [39168/48700]	Loss: 0.3737	LR: 0.000800
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Training Epoch: 36 [39680/48700]	Loss: 0.2684	LR: 0.000800
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Training Epoch: 36 [40192/48700]	Loss: 0.3649	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.2826	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.2475	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.3513	LR: 0.000800
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Training Epoch: 36 [41472/48700]	Loss: 0.3471	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.3000	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.3640	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.3487	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.3025	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.2936	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.2810	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.3270	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.2860	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.3101	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.2699	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.2972	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.3543	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.3464	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.2955	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.3425	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.2462	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.2680	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.3409	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.2383	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.2380	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.3705	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.2501	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.2749	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.2904	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.2565	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.2778	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.2426	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3000, Train Accuracy: 0.9104
Epoch 36 training time consumed: 27.17s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7851, Time consumed:0.87s
Training Epoch: 37 [256/48700]	Loss: 0.2803	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.3344	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.2729	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.2994	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.3293	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.2757	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.2264	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.2942	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.2253	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.3438	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.2922	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.2970	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.2887	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.3019	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.3478	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.2900	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.3170	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.3195	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.3157	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.3191	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.2554	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.2848	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.2619	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.3285	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.3392	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.3626	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.2673	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.2677	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.3235	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.3461	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.2796	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.2145	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.3778	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.3359	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.2968	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.2661	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.3461	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.2424	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.3196	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.3065	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.3562	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.3519	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.2865	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.3239	LR: 0.000800
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Training Epoch: 37 [13568/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.3043	LR: 0.000800
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Training Epoch: 37 [14848/48700]	Loss: 0.2765	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.3352	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.2533	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.2507	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.3406	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.2851	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.2872	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.3289	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.2580	LR: 0.000800
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Training Epoch: 37 [18176/48700]	Loss: 0.2640	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.2872	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.2738	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.3120	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.3272	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.3252	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.3153	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.2912	LR: 0.000800
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Training Epoch: 37 [20992/48700]	Loss: 0.3068	LR: 0.000800
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Training Epoch: 37 [22016/48700]	Loss: 0.3561	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.3388	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.3181	LR: 0.000800
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Training Epoch: 37 [23040/48700]	Loss: 0.2735	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.3438	LR: 0.000800
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Training Epoch: 37 [23808/48700]	Loss: 0.3394	LR: 0.000800
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Training Epoch: 37 [24832/48700]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.3353	LR: 0.000800
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Training Epoch: 37 [26112/48700]	Loss: 0.2651	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.3030	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.2912	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.3305	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.3567	LR: 0.000800
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Training Epoch: 37 [27904/48700]	Loss: 0.2965	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.3493	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.2294	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.2330	LR: 0.000800
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Training Epoch: 37 [40960/48700]	Loss: 0.2451	LR: 0.000800
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Training Epoch: 37 [41472/48700]	Loss: 0.3301	LR: 0.000800
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Training Epoch: 37 [43008/48700]	Loss: 0.3110	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.2603	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.2619	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.3414	LR: 0.000800
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Training Epoch: 37 [44800/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.3027	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.3101	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.2426	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.3376	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.3052	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.3112	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.2953	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.2331	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.3727	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.3551	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.3272	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1689	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.4262	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2971, Train Accuracy: 0.9113
Epoch 37 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7861, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-37-best.pth
Training Epoch: 38 [256/48700]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.2710	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.2921	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.3232	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.3456	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.3114	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.2594	LR: 0.000800
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Training Epoch: 38 [3328/48700]	Loss: 0.3183	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.2601	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.2801	LR: 0.000800
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Training Epoch: 38 [4352/48700]	Loss: 0.3565	LR: 0.000800
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Training Epoch: 38 [5632/48700]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.3108	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.2519	LR: 0.000800
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Training Epoch: 38 [11008/48700]	Loss: 0.2774	LR: 0.000800
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Training Epoch: 38 [13824/48700]	Loss: 0.3006	LR: 0.000800
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Training Epoch: 38 [22016/48700]	Loss: 0.2864	LR: 0.000800
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Training Epoch: 38 [32512/48700]	Loss: 0.2888	LR: 0.000800
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Training Epoch: 38 [35840/48700]	Loss: 0.2510	LR: 0.000800
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Training Epoch: 38 [36352/48700]	Loss: 0.2894	LR: 0.000800
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Training Epoch: 38 [45312/48700]	Loss: 0.2742	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.2537	LR: 0.000800
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Training Epoch: 38 [46080/48700]	Loss: 0.2397	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.2980	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.2942	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.3391	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.2556	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.3148	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.3194	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.3233	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.2783	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.3503	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2930, Train Accuracy: 0.9130
Epoch 38 training time consumed: 26.93s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7870, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_13m_42s/AllCNN-Cifar20-seed5-ret75-38-best.pth
Training Epoch: 39 [256/48700]	Loss: 0.3230	LR: 0.000800
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Training Epoch: 39 [1536/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.3184	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.2433	LR: 0.000800
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Training Epoch: 39 [15872/48700]	Loss: 0.3144	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.3304	LR: 0.000800
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Training Epoch: 39 [36096/48700]	Loss: 0.2547	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.2900	LR: 0.000800
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Training Epoch: 39 [37632/48700]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.2401	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.3366	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.2534	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.3845	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.2273	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.2659	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.2696	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.2948	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.2336	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.3192	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.2727	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.2635	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.3243	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.3037	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.2553	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.3029	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.2354	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.2547	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.3381	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.3073	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.2984	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.3052	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.2810	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.3394	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.2882	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.2843	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.3403	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.2862	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.3692	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.3142	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.3904	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.2700	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.2450	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.3613	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.3376	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.3156	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2929, Train Accuracy: 0.9130
Epoch 39 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7862, Time consumed:0.88s
Training Epoch: 40 [256/48700]	Loss: 0.3237	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.2460	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.3356	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.3209	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.2374	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.3143	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.3049	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.3452	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.3087	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.2508	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.3260	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.2371	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.3178	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.2598	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.3162	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.2955	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.3108	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.2326	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.2661	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.2415	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.2885	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.2475	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.3190	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.3061	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.3067	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.3481	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.2409	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.2383	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.3482	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.2518	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.2543	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.3284	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.2975	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.2376	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.2889	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.2823	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.2348	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.2259	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.2658	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.2682	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.2529	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.2238	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.3770	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.3374	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.2361	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.2513	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.2736	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.2851	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.2818	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.2961	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.2334	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.2959	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.2624	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.2306	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.2549	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.3606	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.2566	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.3601	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.2702	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.2679	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.2829	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.2575	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.2682	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.2287	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.2538	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.3643	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.3279	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.2839	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.3569	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.2968	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.4015	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.3226	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.3257	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.3710	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.2945	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.2448	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.2795	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.2294	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.3448	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.3413	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.2856	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.3144	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.2734	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.2771	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.3387	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.2293	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.2640	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.3301	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.3336	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.2325	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.2753	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.2023	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.3282	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.3859	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.2898	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.3164	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.3067	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.2897	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.2836	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.3351	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.3235	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.2888	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.4158	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.3181	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.2862	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.2174	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.2214	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.2429	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.2877	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.2650	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.2619	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.3616	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.3161	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.3153	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.2849	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.2634	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.3113	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.2759	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.3069	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.3629	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1889	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.3159	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.2514	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.3996	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.3079	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.2427	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.3205	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.2886	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.2307	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.3220	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.2764	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.2886	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.3084	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.3279	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.2305	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.3370	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.3072	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.3274	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.2871	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.3045	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.2624	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.3151	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.2273	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.2605	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.2595	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.3009	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2899, Train Accuracy: 0.9143
Epoch 40 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7848, Time consumed:0.85s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.3984375
Retain Accuracy: 91.9715347290039
Zero-Retain Forget (ZRF): 0.9143443703651428
Membership Inference Attack (MIA): 0.43153846153846154
Forget vs Retain Membership Inference Attack (MIA): 0.5980769230769231
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.503
Train vs Test Membership Inference Attack (MIA): 0.55975
Forget Set Accuracy (Df): 76.43228912353516
Method Execution Time: 1610.29 seconds
