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

📌 Forget class distribution for seed 3:
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: 3.2183	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.2087	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.2034	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.1354	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0558	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0417	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9449	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9357	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9694	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9408	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9389	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.8830	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 3.0277	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8533	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8614	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 3.0476	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8845	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8846	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.7732	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7778	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.6515	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.7442	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7919	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.6559	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7713	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6906	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.5656	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7021	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.6230	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.5838	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.7510	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.5722	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6891	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6325	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6246	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.5479	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6124	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.8078	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6025	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.5063	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.7212	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.5110	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5560	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.6107	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.5959	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5982	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.4127	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5021	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5831	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5949	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5279	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5038	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.6364	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6628	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5225	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.4717	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5420	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.6452	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.7628	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.6682	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.6320	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.7623	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.6692	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5801	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.5985	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.6299	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.6087	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.6708	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.5532	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.6724	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6542	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4867	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.6600	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.7489	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5239	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.5718	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.5008	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.3901	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5509	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.4877	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.5732	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4737	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5712	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.6258	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.4392	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5837	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.5510	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.6608	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.4248	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4727	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5373	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.5088	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5125	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.5293	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.3865	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4778	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4180	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.6580	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4294	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.4694	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.4403	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4186	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.5566	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.5320	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.3244	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4732	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4903	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.3959	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.5540	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.3336	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4612	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.4020	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5131	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.5334	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.2674	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.5575	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4347	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.6338	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.5040	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.5536	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.4198	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5305	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.3213	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3555	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.3901	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.3897	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.3741	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.5133	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.3976	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3761	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4830	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4260	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.3707	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4204	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.5131	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.3526	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4009	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.3067	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.4943	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3356	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.3008	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3184	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.3380	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3918	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.2637	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.3585	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3893	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.6280	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.4089	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3538	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3466	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3516	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3099	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.4606	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.5026	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.2331	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3611	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.2866	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4157	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.4619	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.2411	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.5078	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3656	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.4672	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.3111	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.4054	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.2645	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.2375	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.3731	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.1826	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.4138	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.4067	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3512	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.4688	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.2775	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.3076	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3956	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4812	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.2561	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3356	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.2620	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2979	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3753	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3055	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3296	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3839	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.2757	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.1891	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.4475	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.3314	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.5153	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5362, Train Accuracy: 0.2191
Epoch 1 training time consumed: 29.92s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0104, Accuracy: 0.2491, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2331	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.4835	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.5587	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.2963	LR: 0.100000
Training Epoch: 2 [1280/48700]	Loss: 2.4418	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 2.0089	LR: 0.100000
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Training Epoch: 2 [44288/48700]	Loss: 2.0985	LR: 0.100000
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Training Epoch: 2 [45056/48700]	Loss: 1.9937	LR: 0.100000
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Training Epoch: 2 [47104/48700]	Loss: 2.1035	LR: 0.100000
Training Epoch: 2 [47360/48700]	Loss: 1.9094	LR: 0.100000
Training Epoch: 2 [47616/48700]	Loss: 1.8803	LR: 0.100000
Training Epoch: 2 [47872/48700]	Loss: 1.9643	LR: 0.100000
Training Epoch: 2 [48128/48700]	Loss: 2.0688	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 2.0963	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 1.9600	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1402, Train Accuracy: 0.3329
Epoch 2 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3472, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9710	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 2.0977	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 2.1736	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9712	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 2.0187	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 2.0741	LR: 0.100000
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Training Epoch: 3 [26368/48700]	Loss: 1.7349	LR: 0.100000
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Training Epoch: 3 [47104/48700]	Loss: 1.9185	LR: 0.100000
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Training Epoch: 3 [47616/48700]	Loss: 1.9149	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.7327	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.8240	LR: 0.100000
Training Epoch: 3 [48384/48700]	Loss: 1.9422	LR: 0.100000
Training Epoch: 3 [48640/48700]	Loss: 1.8906	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.7608	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8940, Train Accuracy: 0.4066
Epoch 3 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0079, Accuracy: 0.4028, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.8401	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.6077	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6855, Train Accuracy: 0.4670
Epoch 4 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4748, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.4931	LR: 0.100000
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Training Epoch: 5 [768/48700]	Loss: 1.5983	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.4434	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5183, Train Accuracy: 0.5171
Epoch 5 training time consumed: 28.98s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0057, Accuracy: 0.5485, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-5-best.pth
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Training Epoch: 6 [46336/48700]	Loss: 1.4098	LR: 0.100000
Training Epoch: 6 [46592/48700]	Loss: 1.3052	LR: 0.100000
Training Epoch: 6 [46848/48700]	Loss: 1.3951	LR: 0.100000
Training Epoch: 6 [47104/48700]	Loss: 1.4016	LR: 0.100000
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Training Epoch: 6 [47616/48700]	Loss: 1.2673	LR: 0.100000
Training Epoch: 6 [47872/48700]	Loss: 1.3709	LR: 0.100000
Training Epoch: 6 [48128/48700]	Loss: 1.2824	LR: 0.100000
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Training Epoch: 6 [48640/48700]	Loss: 1.2645	LR: 0.100000
Training Epoch: 6 [48700/48700]	Loss: 0.8957	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3735, Train Accuracy: 0.5614
Epoch 6 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.5184, Time consumed:0.89s
Training Epoch: 7 [256/48700]	Loss: 1.2371	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.5204	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2654, Train Accuracy: 0.5932
Epoch 7 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0055, Accuracy: 0.5633, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.3185	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.1736	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1801, Train Accuracy: 0.6209
Epoch 8 training time consumed: 28.99s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0051, Accuracy: 0.6018, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.1025	LR: 0.100000
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Training Epoch: 9 [45056/48700]	Loss: 1.0484	LR: 0.100000
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Training Epoch: 9 [45824/48700]	Loss: 0.9728	LR: 0.100000
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Training Epoch: 9 [46336/48700]	Loss: 1.0864	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 0.9926	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.1065	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 1.1214	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.2534	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.1332	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.1325	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.0883	LR: 0.100000
Training Epoch: 9 [48384/48700]	Loss: 1.1355	LR: 0.100000
Training Epoch: 9 [48640/48700]	Loss: 1.1758	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.3146	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1011, Train Accuracy: 0.6462
Epoch 9 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5812, Time consumed:0.97s
Training Epoch: 10 [256/48700]	Loss: 1.0079	LR: 0.100000
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Training Epoch: 10 [46592/48700]	Loss: 1.0994	LR: 0.100000
Training Epoch: 10 [46848/48700]	Loss: 1.0837	LR: 0.100000
Training Epoch: 10 [47104/48700]	Loss: 1.0560	LR: 0.100000
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Training Epoch: 10 [47616/48700]	Loss: 0.9635	LR: 0.100000
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Training Epoch: 10 [48640/48700]	Loss: 1.0540	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.0739	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0512, Train Accuracy: 0.6599
Epoch 10 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0049, Accuracy: 0.6214, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 0.9407	LR: 0.100000
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Training Epoch: 11 [768/48700]	Loss: 0.9165	LR: 0.100000
Training Epoch: 11 [1024/48700]	Loss: 0.9481	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 0.9574	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0018, Train Accuracy: 0.6767
Epoch 11 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0043, Accuracy: 0.6509, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 0.9026	LR: 0.100000
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Training Epoch: 12 [39424/48700]	Loss: 0.8993	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 1.0266	LR: 0.100000
Training Epoch: 12 [39936/48700]	Loss: 0.9867	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 0.8668	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 0.9981	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 1.0240	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 0.9335	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 0.9018	LR: 0.100000
Training Epoch: 12 [41472/48700]	Loss: 1.2383	LR: 0.100000
Training Epoch: 12 [41728/48700]	Loss: 0.9773	LR: 0.100000
Training Epoch: 12 [41984/48700]	Loss: 0.9971	LR: 0.100000
Training Epoch: 12 [42240/48700]	Loss: 1.0605	LR: 0.100000
Training Epoch: 12 [42496/48700]	Loss: 0.9432	LR: 0.100000
Training Epoch: 12 [42752/48700]	Loss: 0.9352	LR: 0.100000
Training Epoch: 12 [43008/48700]	Loss: 0.9469	LR: 0.100000
Training Epoch: 12 [43264/48700]	Loss: 1.0534	LR: 0.100000
Training Epoch: 12 [43520/48700]	Loss: 1.0240	LR: 0.100000
Training Epoch: 12 [43776/48700]	Loss: 0.9002	LR: 0.100000
Training Epoch: 12 [44032/48700]	Loss: 0.9641	LR: 0.100000
Training Epoch: 12 [44288/48700]	Loss: 0.8735	LR: 0.100000
Training Epoch: 12 [44544/48700]	Loss: 0.9952	LR: 0.100000
Training Epoch: 12 [44800/48700]	Loss: 0.9075	LR: 0.100000
Training Epoch: 12 [45056/48700]	Loss: 0.9485	LR: 0.100000
Training Epoch: 12 [45312/48700]	Loss: 1.0227	LR: 0.100000
Training Epoch: 12 [45568/48700]	Loss: 1.0252	LR: 0.100000
Training Epoch: 12 [45824/48700]	Loss: 0.9796	LR: 0.100000
Training Epoch: 12 [46080/48700]	Loss: 0.8894	LR: 0.100000
Training Epoch: 12 [46336/48700]	Loss: 0.9254	LR: 0.100000
Training Epoch: 12 [46592/48700]	Loss: 1.0396	LR: 0.100000
Training Epoch: 12 [46848/48700]	Loss: 0.9731	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 0.9795	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 0.8862	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 1.0083	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 0.9682	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 1.0225	LR: 0.100000
Training Epoch: 12 [48384/48700]	Loss: 0.9142	LR: 0.100000
Training Epoch: 12 [48640/48700]	Loss: 0.7974	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 1.0121	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9577, Train Accuracy: 0.6894
Epoch 12 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0046, Accuracy: 0.6482, Time consumed:0.89s
Training Epoch: 13 [256/48700]	Loss: 0.7518	LR: 0.100000
Training Epoch: 13 [512/48700]	Loss: 0.7764	LR: 0.100000
Training Epoch: 13 [768/48700]	Loss: 0.9813	LR: 0.100000
Training Epoch: 13 [1024/48700]	Loss: 0.8777	LR: 0.100000
Training Epoch: 13 [1280/48700]	Loss: 1.1187	LR: 0.100000
Training Epoch: 13 [1536/48700]	Loss: 0.8407	LR: 0.100000
Training Epoch: 13 [1792/48700]	Loss: 1.0564	LR: 0.100000
Training Epoch: 13 [2048/48700]	Loss: 0.8017	LR: 0.100000
Training Epoch: 13 [2304/48700]	Loss: 0.8379	LR: 0.100000
Training Epoch: 13 [2560/48700]	Loss: 0.9782	LR: 0.100000
Training Epoch: 13 [2816/48700]	Loss: 0.8885	LR: 0.100000
Training Epoch: 13 [3072/48700]	Loss: 0.9466	LR: 0.100000
Training Epoch: 13 [3328/48700]	Loss: 0.8754	LR: 0.100000
Training Epoch: 13 [3584/48700]	Loss: 1.0728	LR: 0.100000
Training Epoch: 13 [3840/48700]	Loss: 0.8889	LR: 0.100000
Training Epoch: 13 [4096/48700]	Loss: 0.9309	LR: 0.100000
Training Epoch: 13 [4352/48700]	Loss: 0.8790	LR: 0.100000
Training Epoch: 13 [4608/48700]	Loss: 1.0251	LR: 0.100000
Training Epoch: 13 [4864/48700]	Loss: 0.8967	LR: 0.100000
Training Epoch: 13 [5120/48700]	Loss: 0.8158	LR: 0.100000
Training Epoch: 13 [5376/48700]	Loss: 0.9223	LR: 0.100000
Training Epoch: 13 [5632/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 13 [5888/48700]	Loss: 0.7707	LR: 0.100000
Training Epoch: 13 [6144/48700]	Loss: 0.8240	LR: 0.100000
Training Epoch: 13 [6400/48700]	Loss: 1.0985	LR: 0.100000
Training Epoch: 13 [6656/48700]	Loss: 0.8072	LR: 0.100000
Training Epoch: 13 [6912/48700]	Loss: 0.8279	LR: 0.100000
Training Epoch: 13 [7168/48700]	Loss: 0.8800	LR: 0.100000
Training Epoch: 13 [7424/48700]	Loss: 0.9928	LR: 0.100000
Training Epoch: 13 [7680/48700]	Loss: 0.9423	LR: 0.100000
Training Epoch: 13 [7936/48700]	Loss: 1.0324	LR: 0.100000
Training Epoch: 13 [8192/48700]	Loss: 0.9922	LR: 0.100000
Training Epoch: 13 [8448/48700]	Loss: 0.9052	LR: 0.100000
Training Epoch: 13 [8704/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 13 [8960/48700]	Loss: 0.8630	LR: 0.100000
Training Epoch: 13 [9216/48700]	Loss: 0.9071	LR: 0.100000
Training Epoch: 13 [9472/48700]	Loss: 0.8928	LR: 0.100000
Training Epoch: 13 [9728/48700]	Loss: 1.0291	LR: 0.100000
Training Epoch: 13 [9984/48700]	Loss: 0.9691	LR: 0.100000
Training Epoch: 13 [10240/48700]	Loss: 0.9041	LR: 0.100000
Training Epoch: 13 [10496/48700]	Loss: 0.9179	LR: 0.100000
Training Epoch: 13 [10752/48700]	Loss: 0.9499	LR: 0.100000
Training Epoch: 13 [11008/48700]	Loss: 1.0380	LR: 0.100000
Training Epoch: 13 [11264/48700]	Loss: 0.8618	LR: 0.100000
Training Epoch: 13 [11520/48700]	Loss: 0.8646	LR: 0.100000
Training Epoch: 13 [11776/48700]	Loss: 0.9088	LR: 0.100000
Training Epoch: 13 [12032/48700]	Loss: 0.9520	LR: 0.100000
Training Epoch: 13 [12288/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 13 [12544/48700]	Loss: 0.8812	LR: 0.100000
Training Epoch: 13 [12800/48700]	Loss: 0.8914	LR: 0.100000
Training Epoch: 13 [13056/48700]	Loss: 0.8513	LR: 0.100000
Training Epoch: 13 [13312/48700]	Loss: 0.9500	LR: 0.100000
Training Epoch: 13 [13568/48700]	Loss: 1.0787	LR: 0.100000
Training Epoch: 13 [13824/48700]	Loss: 0.8360	LR: 0.100000
Training Epoch: 13 [14080/48700]	Loss: 0.8849	LR: 0.100000
Training Epoch: 13 [14336/48700]	Loss: 0.9042	LR: 0.100000
Training Epoch: 13 [14592/48700]	Loss: 0.8330	LR: 0.100000
Training Epoch: 13 [14848/48700]	Loss: 0.9168	LR: 0.100000
Training Epoch: 13 [15104/48700]	Loss: 0.7932	LR: 0.100000
Training Epoch: 13 [15360/48700]	Loss: 0.8485	LR: 0.100000
Training Epoch: 13 [15616/48700]	Loss: 0.9259	LR: 0.100000
Training Epoch: 13 [15872/48700]	Loss: 0.8625	LR: 0.100000
Training Epoch: 13 [16128/48700]	Loss: 0.8747	LR: 0.100000
Training Epoch: 13 [16384/48700]	Loss: 0.8493	LR: 0.100000
Training Epoch: 13 [16640/48700]	Loss: 0.8499	LR: 0.100000
Training Epoch: 13 [16896/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 13 [17152/48700]	Loss: 0.9815	LR: 0.100000
Training Epoch: 13 [17408/48700]	Loss: 0.9342	LR: 0.100000
Training Epoch: 13 [17664/48700]	Loss: 0.8457	LR: 0.100000
Training Epoch: 13 [17920/48700]	Loss: 0.8205	LR: 0.100000
Training Epoch: 13 [18176/48700]	Loss: 0.9531	LR: 0.100000
Training Epoch: 13 [18432/48700]	Loss: 0.9942	LR: 0.100000
Training Epoch: 13 [18688/48700]	Loss: 0.9453	LR: 0.100000
Training Epoch: 13 [18944/48700]	Loss: 0.8558	LR: 0.100000
Training Epoch: 13 [19200/48700]	Loss: 0.9989	LR: 0.100000
Training Epoch: 13 [19456/48700]	Loss: 0.9770	LR: 0.100000
Training Epoch: 13 [19712/48700]	Loss: 0.9645	LR: 0.100000
Training Epoch: 13 [19968/48700]	Loss: 1.0324	LR: 0.100000
Training Epoch: 13 [20224/48700]	Loss: 0.9846	LR: 0.100000
Training Epoch: 13 [20480/48700]	Loss: 0.9552	LR: 0.100000
Training Epoch: 13 [20736/48700]	Loss: 0.9540	LR: 0.100000
Training Epoch: 13 [20992/48700]	Loss: 0.8883	LR: 0.100000
Training Epoch: 13 [21248/48700]	Loss: 0.9029	LR: 0.100000
Training Epoch: 13 [21504/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 13 [21760/48700]	Loss: 1.0036	LR: 0.100000
Training Epoch: 13 [22016/48700]	Loss: 0.8200	LR: 0.100000
Training Epoch: 13 [22272/48700]	Loss: 0.8746	LR: 0.100000
Training Epoch: 13 [22528/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 13 [22784/48700]	Loss: 0.9681	LR: 0.100000
Training Epoch: 13 [23040/48700]	Loss: 0.7603	LR: 0.100000
Training Epoch: 13 [23296/48700]	Loss: 0.9824	LR: 0.100000
Training Epoch: 13 [23552/48700]	Loss: 0.7943	LR: 0.100000
Training Epoch: 13 [23808/48700]	Loss: 1.0482	LR: 0.100000
Training Epoch: 13 [24064/48700]	Loss: 0.9149	LR: 0.100000
Training Epoch: 13 [24320/48700]	Loss: 0.9881	LR: 0.100000
Training Epoch: 13 [24576/48700]	Loss: 1.0174	LR: 0.100000
Training Epoch: 13 [24832/48700]	Loss: 0.9460	LR: 0.100000
Training Epoch: 13 [25088/48700]	Loss: 0.9892	LR: 0.100000
Training Epoch: 13 [25344/48700]	Loss: 0.8204	LR: 0.100000
Training Epoch: 13 [25600/48700]	Loss: 0.9716	LR: 0.100000
Training Epoch: 13 [25856/48700]	Loss: 0.8757	LR: 0.100000
Training Epoch: 13 [26112/48700]	Loss: 0.8715	LR: 0.100000
Training Epoch: 13 [26368/48700]	Loss: 0.9102	LR: 0.100000
Training Epoch: 13 [26624/48700]	Loss: 0.8636	LR: 0.100000
Training Epoch: 13 [26880/48700]	Loss: 0.9850	LR: 0.100000
Training Epoch: 13 [27136/48700]	Loss: 1.0408	LR: 0.100000
Training Epoch: 13 [27392/48700]	Loss: 0.8316	LR: 0.100000
Training Epoch: 13 [27648/48700]	Loss: 0.8762	LR: 0.100000
Training Epoch: 13 [27904/48700]	Loss: 0.9046	LR: 0.100000
Training Epoch: 13 [28160/48700]	Loss: 0.8413	LR: 0.100000
Training Epoch: 13 [28416/48700]	Loss: 0.9722	LR: 0.100000
Training Epoch: 13 [28672/48700]	Loss: 0.8702	LR: 0.100000
Training Epoch: 13 [28928/48700]	Loss: 0.8815	LR: 0.100000
Training Epoch: 13 [29184/48700]	Loss: 1.0471	LR: 0.100000
Training Epoch: 13 [29440/48700]	Loss: 0.9454	LR: 0.100000
Training Epoch: 13 [29696/48700]	Loss: 1.0052	LR: 0.100000
Training Epoch: 13 [29952/48700]	Loss: 0.8503	LR: 0.100000
Training Epoch: 13 [30208/48700]	Loss: 0.8655	LR: 0.100000
Training Epoch: 13 [30464/48700]	Loss: 0.8250	LR: 0.100000
Training Epoch: 13 [30720/48700]	Loss: 0.9192	LR: 0.100000
Training Epoch: 13 [30976/48700]	Loss: 0.9219	LR: 0.100000
Training Epoch: 13 [31232/48700]	Loss: 0.8095	LR: 0.100000
Training Epoch: 13 [31488/48700]	Loss: 0.9125	LR: 0.100000
Training Epoch: 13 [31744/48700]	Loss: 0.9834	LR: 0.100000
Training Epoch: 13 [32000/48700]	Loss: 0.9207	LR: 0.100000
Training Epoch: 13 [32256/48700]	Loss: 0.9147	LR: 0.100000
Training Epoch: 13 [32512/48700]	Loss: 0.9328	LR: 0.100000
Training Epoch: 13 [32768/48700]	Loss: 1.0360	LR: 0.100000
Training Epoch: 13 [33024/48700]	Loss: 1.0567	LR: 0.100000
Training Epoch: 13 [33280/48700]	Loss: 0.9145	LR: 0.100000
Training Epoch: 13 [33536/48700]	Loss: 0.8431	LR: 0.100000
Training Epoch: 13 [33792/48700]	Loss: 0.8462	LR: 0.100000
Training Epoch: 13 [34048/48700]	Loss: 0.9034	LR: 0.100000
Training Epoch: 13 [34304/48700]	Loss: 0.8938	LR: 0.100000
Training Epoch: 13 [34560/48700]	Loss: 0.8657	LR: 0.100000
Training Epoch: 13 [34816/48700]	Loss: 0.8908	LR: 0.100000
Training Epoch: 13 [35072/48700]	Loss: 0.9856	LR: 0.100000
Training Epoch: 13 [35328/48700]	Loss: 0.9490	LR: 0.100000
Training Epoch: 13 [35584/48700]	Loss: 0.9748	LR: 0.100000
Training Epoch: 13 [35840/48700]	Loss: 1.0037	LR: 0.100000
Training Epoch: 13 [36096/48700]	Loss: 0.8129	LR: 0.100000
Training Epoch: 13 [36352/48700]	Loss: 0.8961	LR: 0.100000
Training Epoch: 13 [36608/48700]	Loss: 0.8876	LR: 0.100000
Training Epoch: 13 [36864/48700]	Loss: 0.9344	LR: 0.100000
Training Epoch: 13 [37120/48700]	Loss: 1.0017	LR: 0.100000
Training Epoch: 13 [37376/48700]	Loss: 0.8883	LR: 0.100000
Training Epoch: 13 [37632/48700]	Loss: 0.9070	LR: 0.100000
Training Epoch: 13 [37888/48700]	Loss: 0.9746	LR: 0.100000
Training Epoch: 13 [38144/48700]	Loss: 0.9092	LR: 0.100000
Training Epoch: 13 [38400/48700]	Loss: 1.0332	LR: 0.100000
Training Epoch: 13 [38656/48700]	Loss: 0.9208	LR: 0.100000
Training Epoch: 13 [38912/48700]	Loss: 0.8571	LR: 0.100000
Training Epoch: 13 [39168/48700]	Loss: 0.9653	LR: 0.100000
Training Epoch: 13 [39424/48700]	Loss: 0.8726	LR: 0.100000
Training Epoch: 13 [39680/48700]	Loss: 0.8313	LR: 0.100000
Training Epoch: 13 [39936/48700]	Loss: 0.8349	LR: 0.100000
Training Epoch: 13 [40192/48700]	Loss: 0.9250	LR: 0.100000
Training Epoch: 13 [40448/48700]	Loss: 0.9614	LR: 0.100000
Training Epoch: 13 [40704/48700]	Loss: 0.8705	LR: 0.100000
Training Epoch: 13 [40960/48700]	Loss: 0.9673	LR: 0.100000
Training Epoch: 13 [41216/48700]	Loss: 0.9162	LR: 0.100000
Training Epoch: 13 [41472/48700]	Loss: 0.9764	LR: 0.100000
Training Epoch: 13 [41728/48700]	Loss: 0.8819	LR: 0.100000
Training Epoch: 13 [41984/48700]	Loss: 0.9435	LR: 0.100000
Training Epoch: 13 [42240/48700]	Loss: 1.0249	LR: 0.100000
Training Epoch: 13 [42496/48700]	Loss: 1.0030	LR: 0.100000
Training Epoch: 13 [42752/48700]	Loss: 0.9949	LR: 0.100000
Training Epoch: 13 [43008/48700]	Loss: 0.7573	LR: 0.100000
Training Epoch: 13 [43264/48700]	Loss: 1.0556	LR: 0.100000
Training Epoch: 13 [43520/48700]	Loss: 0.9133	LR: 0.100000
Training Epoch: 13 [43776/48700]	Loss: 0.9142	LR: 0.100000
Training Epoch: 13 [44032/48700]	Loss: 0.9530	LR: 0.100000
Training Epoch: 13 [44288/48700]	Loss: 0.8624	LR: 0.100000
Training Epoch: 13 [44544/48700]	Loss: 0.9621	LR: 0.100000
Training Epoch: 13 [44800/48700]	Loss: 0.9534	LR: 0.100000
Training Epoch: 13 [45056/48700]	Loss: 1.0537	LR: 0.100000
Training Epoch: 13 [45312/48700]	Loss: 0.8825	LR: 0.100000
Training Epoch: 13 [45568/48700]	Loss: 1.0905	LR: 0.100000
Training Epoch: 13 [45824/48700]	Loss: 0.8382	LR: 0.100000
Training Epoch: 13 [46080/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 13 [46336/48700]	Loss: 1.0415	LR: 0.100000
Training Epoch: 13 [46592/48700]	Loss: 1.0059	LR: 0.100000
Training Epoch: 13 [46848/48700]	Loss: 1.0221	LR: 0.100000
Training Epoch: 13 [47104/48700]	Loss: 0.9678	LR: 0.100000
Training Epoch: 13 [47360/48700]	Loss: 0.8242	LR: 0.100000
Training Epoch: 13 [47616/48700]	Loss: 0.8912	LR: 0.100000
Training Epoch: 13 [47872/48700]	Loss: 0.8767	LR: 0.100000
Training Epoch: 13 [48128/48700]	Loss: 0.8975	LR: 0.100000
Training Epoch: 13 [48384/48700]	Loss: 1.0893	LR: 0.100000
Training Epoch: 13 [48640/48700]	Loss: 0.8109	LR: 0.100000
Training Epoch: 13 [48700/48700]	Loss: 0.6490	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9228, Train Accuracy: 0.7018
Epoch 13 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0052, Accuracy: 0.6093, Time consumed:0.92s
Training Epoch: 14 [256/48700]	Loss: 0.8903	LR: 0.100000
Training Epoch: 14 [512/48700]	Loss: 0.7471	LR: 0.100000
Training Epoch: 14 [768/48700]	Loss: 0.9601	LR: 0.100000
Training Epoch: 14 [1024/48700]	Loss: 0.8866	LR: 0.100000
Training Epoch: 14 [1280/48700]	Loss: 0.9874	LR: 0.100000
Training Epoch: 14 [1536/48700]	Loss: 0.9457	LR: 0.100000
Training Epoch: 14 [1792/48700]	Loss: 0.8390	LR: 0.100000
Training Epoch: 14 [2048/48700]	Loss: 0.9257	LR: 0.100000
Training Epoch: 14 [2304/48700]	Loss: 0.9427	LR: 0.100000
Training Epoch: 14 [2560/48700]	Loss: 0.8097	LR: 0.100000
Training Epoch: 14 [2816/48700]	Loss: 0.9099	LR: 0.100000
Training Epoch: 14 [3072/48700]	Loss: 0.9113	LR: 0.100000
Training Epoch: 14 [3328/48700]	Loss: 0.8253	LR: 0.100000
Training Epoch: 14 [3584/48700]	Loss: 0.8214	LR: 0.100000
Training Epoch: 14 [3840/48700]	Loss: 0.9704	LR: 0.100000
Training Epoch: 14 [4096/48700]	Loss: 0.9598	LR: 0.100000
Training Epoch: 14 [4352/48700]	Loss: 0.9631	LR: 0.100000
Training Epoch: 14 [4608/48700]	Loss: 0.9129	LR: 0.100000
Training Epoch: 14 [4864/48700]	Loss: 0.9334	LR: 0.100000
Training Epoch: 14 [5120/48700]	Loss: 0.7699	LR: 0.100000
Training Epoch: 14 [5376/48700]	Loss: 0.8388	LR: 0.100000
Training Epoch: 14 [5632/48700]	Loss: 0.9022	LR: 0.100000
Training Epoch: 14 [5888/48700]	Loss: 0.9663	LR: 0.100000
Training Epoch: 14 [6144/48700]	Loss: 0.8839	LR: 0.100000
Training Epoch: 14 [6400/48700]	Loss: 0.8385	LR: 0.100000
Training Epoch: 14 [6656/48700]	Loss: 0.7869	LR: 0.100000
Training Epoch: 14 [6912/48700]	Loss: 0.8887	LR: 0.100000
Training Epoch: 14 [7168/48700]	Loss: 0.9328	LR: 0.100000
Training Epoch: 14 [7424/48700]	Loss: 0.8721	LR: 0.100000
Training Epoch: 14 [7680/48700]	Loss: 0.7723	LR: 0.100000
Training Epoch: 14 [7936/48700]	Loss: 0.9075	LR: 0.100000
Training Epoch: 14 [8192/48700]	Loss: 0.7943	LR: 0.100000
Training Epoch: 14 [8448/48700]	Loss: 0.8907	LR: 0.100000
Training Epoch: 14 [8704/48700]	Loss: 0.9564	LR: 0.100000
Training Epoch: 14 [8960/48700]	Loss: 0.9101	LR: 0.100000
Training Epoch: 14 [9216/48700]	Loss: 0.9422	LR: 0.100000
Training Epoch: 14 [9472/48700]	Loss: 0.9830	LR: 0.100000
Training Epoch: 14 [9728/48700]	Loss: 0.8501	LR: 0.100000
Training Epoch: 14 [9984/48700]	Loss: 0.7979	LR: 0.100000
Training Epoch: 14 [10240/48700]	Loss: 0.9371	LR: 0.100000
Training Epoch: 14 [10496/48700]	Loss: 0.9349	LR: 0.100000
Training Epoch: 14 [10752/48700]	Loss: 0.8590	LR: 0.100000
Training Epoch: 14 [11008/48700]	Loss: 0.8002	LR: 0.100000
Training Epoch: 14 [11264/48700]	Loss: 0.8864	LR: 0.100000
Training Epoch: 14 [11520/48700]	Loss: 0.8514	LR: 0.100000
Training Epoch: 14 [11776/48700]	Loss: 0.8474	LR: 0.100000
Training Epoch: 14 [12032/48700]	Loss: 0.9848	LR: 0.100000
Training Epoch: 14 [12288/48700]	Loss: 0.9407	LR: 0.100000
Training Epoch: 14 [12544/48700]	Loss: 0.8743	LR: 0.100000
Training Epoch: 14 [12800/48700]	Loss: 0.8511	LR: 0.100000
Training Epoch: 14 [13056/48700]	Loss: 0.9702	LR: 0.100000
Training Epoch: 14 [13312/48700]	Loss: 0.8995	LR: 0.100000
Training Epoch: 14 [13568/48700]	Loss: 0.9552	LR: 0.100000
Training Epoch: 14 [13824/48700]	Loss: 0.8466	LR: 0.100000
Training Epoch: 14 [14080/48700]	Loss: 0.9934	LR: 0.100000
Training Epoch: 14 [14336/48700]	Loss: 0.8314	LR: 0.100000
Training Epoch: 14 [14592/48700]	Loss: 0.7789	LR: 0.100000
Training Epoch: 14 [14848/48700]	Loss: 0.7980	LR: 0.100000
Training Epoch: 14 [15104/48700]	Loss: 0.8148	LR: 0.100000
Training Epoch: 14 [15360/48700]	Loss: 0.8717	LR: 0.100000
Training Epoch: 14 [15616/48700]	Loss: 0.7949	LR: 0.100000
Training Epoch: 14 [15872/48700]	Loss: 0.9858	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 0.9420	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 0.7975	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 0.7194	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.7478	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.9112	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.8132	LR: 0.100000
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Training Epoch: 14 [48700/48700]	Loss: 0.9915	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8970, Train Accuracy: 0.7086
Epoch 14 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0045, Accuracy: 0.6552, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-14-best.pth
Training Epoch: 15 [256/48700]	Loss: 0.9143	LR: 0.020000
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Training Epoch: 15 [47104/48700]	Loss: 0.6400	LR: 0.020000
Training Epoch: 15 [47360/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 15 [47616/48700]	Loss: 0.6615	LR: 0.020000
Training Epoch: 15 [47872/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.6257	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.7617	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.7425	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6581, Train Accuracy: 0.7874
Epoch 15 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0028, Accuracy: 0.7715, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5695	LR: 0.020000
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Training Epoch: 16 [47616/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 16 [47872/48700]	Loss: 0.4124	LR: 0.020000
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Training Epoch: 16 [48640/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.4567	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5798, Train Accuracy: 0.8101
Epoch 16 training time consumed: 29.00s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7687, Time consumed:0.87s
Training Epoch: 17 [256/48700]	Loss: 0.5878	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.4285	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5448, Train Accuracy: 0.8219
Epoch 17 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7769, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.4843	LR: 0.020000
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Training Epoch: 18 [46080/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.4455	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5406	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5730	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.6943	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5105, Train Accuracy: 0.8333
Epoch 18 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7774, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.4617	LR: 0.020000
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Training Epoch: 19 [768/48700]	Loss: 0.4904	LR: 0.020000
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Training Epoch: 19 [1536/48700]	Loss: 0.5096	LR: 0.020000
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Training Epoch: 19 [46592/48700]	Loss: 0.5517	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.5458	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.7406	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.5411	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.4342	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4898, Train Accuracy: 0.8393
Epoch 19 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7771, Time consumed:0.94s
Training Epoch: 20 [256/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.4510	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.4461	LR: 0.020000
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Training Epoch: 20 [16384/48700]	Loss: 0.5020	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.5536	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.3891	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.4763	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.3700	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.4352	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.5595	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.4289	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.4473	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.5065	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.4639	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.3816	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.5882	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.4966	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4783	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.5069	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.5711	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.5680	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.6082	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4656, Train Accuracy: 0.8477
Epoch 20 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7701, Time consumed:0.89s
Training Epoch: 21 [256/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.4556	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.4499	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.4348	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.4139	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.3280	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.4532	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.5115	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.4420	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.4273	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.4601	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.4510	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.4364	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.4353	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.4413	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.4707	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.4304	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.5477	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.4497	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4337	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.3289	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.4308	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.3699	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.4325	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.3654	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.4412	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.4139	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.5059	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.3591	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.4465	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.5673	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.3783	LR: 0.020000
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Training Epoch: 21 [45568/48700]	Loss: 0.4181	LR: 0.020000
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Training Epoch: 21 [46080/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.4886	LR: 0.020000
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Training Epoch: 21 [46848/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.5033	LR: 0.020000
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Training Epoch: 21 [47616/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.4068	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4541	LR: 0.020000
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Training Epoch: 21 [48700/48700]	Loss: 0.5723	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4452, Train Accuracy: 0.8526
Epoch 21 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7672, Time consumed:0.88s
Training Epoch: 22 [256/48700]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 22 [47616/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.4233	LR: 0.020000
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Training Epoch: 22 [48640/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.3320	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4286, Train Accuracy: 0.8564
Epoch 22 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0029, Accuracy: 0.7806, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-22-best.pth
Training Epoch: 23 [256/48700]	Loss: 0.3511	LR: 0.020000
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Training Epoch: 23 [15872/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.4360	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.4003	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.3424	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.4335	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.3230	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.3540	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.4673	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.4222	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.4189	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.4708	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.4139	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.4846	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.4545	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.3621	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.5078	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.3489	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.3538	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.3208	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.5894	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.4068	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.4217	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.3719	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.3952	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.2924	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4881	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.4565	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.4565	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4733	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4208	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.4519	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4327	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.5307	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4456	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.4199	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.5645	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4176, Train Accuracy: 0.8623
Epoch 23 training time consumed: 28.99s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7630, Time consumed:0.97s
Training Epoch: 24 [256/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.3430	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.4030	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.2817	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.4724	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.4127	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.3587	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.2850	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.4360	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3877	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.2917	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.3992	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.4465	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3226	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.4166	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.3179	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.3507	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.3787	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.3573	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.4598	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.3022	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.3070	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.3328	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.5263	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.3868	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4816	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.4598	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.3067	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4393	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.3312	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.3774	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.4002	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4123	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4481	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.4499	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.4028	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.4703	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.4312	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.4339	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.4650	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4010, Train Accuracy: 0.8682
Epoch 24 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0030, Accuracy: 0.7759, Time consumed:0.88s
Training Epoch: 25 [256/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.4141	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.2864	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.2930	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.3139	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.3405	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.3071	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.4532	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.3059	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.3157	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.2692	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.3839	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.4372	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3703	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.3759	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.3411	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.3650	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.2581	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.4795	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.3403	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.4318	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3098	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4337	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4544	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3146	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.2815	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.2853	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.4431	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3471	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.4510	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.3435	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.3244	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.4159	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.3816	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.3985	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.4487	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.3351	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.2584	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.3467	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.3500	LR: 0.020000
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Training Epoch: 25 [30208/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 25 [32000/48700]	Loss: 0.5034	LR: 0.020000
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Training Epoch: 25 [32512/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.3438	LR: 0.020000
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Training Epoch: 25 [33280/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.3863	LR: 0.020000
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Training Epoch: 25 [34048/48700]	Loss: 0.4034	LR: 0.020000
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Training Epoch: 25 [34560/48700]	Loss: 0.3796	LR: 0.020000
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Training Epoch: 25 [35328/48700]	Loss: 0.3767	LR: 0.020000
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Training Epoch: 25 [36096/48700]	Loss: 0.4473	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.3713	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.4170	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.5175	LR: 0.020000
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Training Epoch: 25 [39168/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.3874	LR: 0.020000
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Training Epoch: 25 [39936/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.3917	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.4141	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.4446	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.3352	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4040	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.2920	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.5418	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4731	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.2893	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.3913	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.3202	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.3386	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.4578	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3843, Train Accuracy: 0.8736
Epoch 25 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7490, Time consumed:0.98s
Training Epoch: 26 [256/48700]	Loss: 0.3435	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.2954	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.2839	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4140	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3457	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.2475	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.3621	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.3358	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.2927	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3138	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.3242	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.2978	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.3246	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.3382	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.2740	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3306	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.2910	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.3126	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.3889	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.4338	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.2928	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3615	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.3754	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.2967	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3137	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.3768	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.5108	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.2962	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.2958	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.4235	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.2927	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3350	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3158	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.3017	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.2860	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.3038	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4478	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.3236	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3494	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.3438	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.3469	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.2986	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.3448	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.2945	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.3444	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.2931	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.3907	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.4159	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.3457	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3589	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.4836	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.4691	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.4050	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.3913	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.2925	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3196	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.6227	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3778, Train Accuracy: 0.8742
Epoch 26 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7654, Time consumed:0.87s
Training Epoch: 27 [256/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.2881	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.2864	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.2845	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.3181	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.2646	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3634	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.3496	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.3185	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.3456	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.3220	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.2784	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.3197	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.2699	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.3007	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.3867	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.2782	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.2923	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.3868	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.2951	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.2933	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.2943	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.3301	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.3540	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3143	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3160	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.4881	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.3230	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.2909	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.2897	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.2164	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.4040	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.3197	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.2375	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4299	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3306	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.3339	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.4329	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.3754	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.3650	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.2902	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.2639	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.2987	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.3453	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.3033	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.3065	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.3635	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.3516	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4469	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.4349	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.3062	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.3246	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4199	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.3120	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3641, Train Accuracy: 0.8776
Epoch 27 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7733, Time consumed:0.95s
Training Epoch: 28 [256/48700]	Loss: 0.3621	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.2336	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3275	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.3877	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.2806	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.2881	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.3391	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.3504	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.2792	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.3230	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.2905	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.2660	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.2253	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.3099	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.2604	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3199	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.3457	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3049	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.3231	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.2180	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.2786	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.2467	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.2539	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.2972	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.2847	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.4248	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.2948	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.4217	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3597	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3200	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.2734	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.4863	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.2792	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.3137	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.4146	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.4387	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3059	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.3334	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3160	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.3045	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.3489	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3868	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.3936	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3655	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3322	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.2704	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3920	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3191	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3322	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.3253	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3245	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.3246	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3300	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.3396	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.3064	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.2837	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.2758	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.3097	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3062	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.3967	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.3503	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3328	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.2994	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.2879	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.2725	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.3291	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.3160	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.3063	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.3765	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.3631	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3126	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.2899	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.3923	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3534, Train Accuracy: 0.8812
Epoch 28 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7619, Time consumed:0.89s
Training Epoch: 29 [256/48700]	Loss: 0.2888	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.3131	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.2901	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.2940	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.3700	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.2964	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.2743	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.2638	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3494	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.3817	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.3464	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.3179	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.3044	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.2734	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.2668	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3174	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.2800	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.2765	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.3768	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.2695	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.2650	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.2601	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.2952	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.3432	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.2713	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.3699	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3272	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.2522	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.3210	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3211	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3238	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.2973	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3173	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.2852	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.3386	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.3035	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3114	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3621	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.2686	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.2893	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.2657	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.3101	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.3095	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.2766	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.2890	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.2796	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3225	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.3528	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3912	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3300	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.3558	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.2368	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.3159	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.2833	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.3020	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.3037	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.2501	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.2756	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3021	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.2534	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.3715	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.2873	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.2886	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.2842	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4470	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.3403	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.3348	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.2986	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.2677	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.2786	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3129	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.2398	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3469, Train Accuracy: 0.8834
Epoch 29 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0032, Accuracy: 0.7709, Time consumed:0.90s
Training Epoch: 30 [256/48700]	Loss: 0.3872	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.2790	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.2784	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.3152	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.3177	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.3059	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.2696	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.2937	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.2946	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.2644	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.2065	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.2704	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.3005	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.2329	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.2403	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2471	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2953	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.2594	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2655	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.3105	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2793	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.3009	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.2479	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2741	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.3032	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2656	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2174	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.2382	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2267	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2302	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2830	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2236	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.2607	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.2666	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.2546	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2504	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2957	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.2567	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2386	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.2524	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.2802	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2004	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2428	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.2882	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.2018	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2534	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2371	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.3119	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.2309	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.3047	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.2062	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.2133	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2260	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.2379	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2328	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2815	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.1938	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.2346	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.1768	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.1914	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.1954	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2418	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.2156	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.2083	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.1900	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.2825	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.1972	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2303	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.2464	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2620	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.3070	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.1778	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.1999	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.1816	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.2106	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2145	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.2507	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2284	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2427	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.2007	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2642	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2546	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2681	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.2563	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.1818	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.2461	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.1676	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.2498	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.1908	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2118	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2387	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.2221	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3075	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.2106	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.1866	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.1903	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2132	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.1616	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.2480	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.2248	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.2184	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.2135	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.1840	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.2330	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.2269	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.2464	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.2390	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2564	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.1892	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.2436	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.2557	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.2103	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1823	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.1774	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.1915	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.2499	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.1720	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.2128	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.1978	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.1981	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2144	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.2584	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2227	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.1883	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.2198	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.2881	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.1875	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.2159	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.1930	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.2319	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.1959	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.2190	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.2044	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.2382	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.2100	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.1753	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.2445	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.1233	LR: 0.004000
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Training Epoch: 30 [44544/48700]	Loss: 0.1734	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.1874	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.2075	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.1963	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2108	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.2161	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.2508	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.1810	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.1675	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.1755	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.2426	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.1582	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1960	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.2274	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.2251	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2267, Train Accuracy: 0.9273
Epoch 30 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0026, Accuracy: 0.8072, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1937	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1788	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1730	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.1820	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.1812	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.1959	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.2297	LR: 0.004000
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Training Epoch: 31 [5632/48700]	Loss: 0.2015	LR: 0.004000
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Training Epoch: 31 [16128/48700]	Loss: 0.2208	LR: 0.004000
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Training Epoch: 31 [45312/48700]	Loss: 0.2403	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.1878	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.2081	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.1694	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.2102	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1664	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.1761	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.2026	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.1646	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1654	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.1490	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1823, Train Accuracy: 0.9437
Epoch 31 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8089, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1176	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1547	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1669	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1817	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.1522	LR: 0.004000
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Training Epoch: 32 [3328/48700]	Loss: 0.1998	LR: 0.004000
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Training Epoch: 32 [47616/48700]	Loss: 0.1337	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.1089	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.1482	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.1040	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.1501	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2125	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1645, Train Accuracy: 0.9492
Epoch 32 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8100, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1584	LR: 0.004000
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Training Epoch: 33 [39680/48700]	Loss: 0.1695	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.1767	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.0969	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.1895	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.1630	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.1527	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.1544	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1686	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.1360	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.1780	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.1177	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.2072	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1016	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1674	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1220	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.0999	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1603	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1454	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1339	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1235	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1831	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.1523	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1260	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1269	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1540	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1189	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1377	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.1238	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.2078	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.1086	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1485, Train Accuracy: 0.9559
Epoch 33 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0027, Accuracy: 0.8097, Time consumed:0.92s
Training Epoch: 34 [256/48700]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.0957	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.1922	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.1316	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1990	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1718	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.2214	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1656	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.1521	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.1190	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.1158	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.1027	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.2148	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1077	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1192	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.1665	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.1496	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.1154	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.1224	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.1581	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.1191	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.1743	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.0887	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.1684	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.1458	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.1116	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.1705	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.1520	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.1129	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.1051	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.1106	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.1980	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.1486	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.1580	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.0936	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.1222	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.1259	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.1792	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.1382	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.1157	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.1268	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1462	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.0971	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.1810	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.1603	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.1640	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.1027	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.1737	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.1626	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.0933	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.1780	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.1325	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.1110	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.1035	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.1331	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.1776	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.1971	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.1229	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.1297	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.1509	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.1772	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.1645	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.1305	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.1085	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.2161	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.1064	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.1684	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.1525	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.1471	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.1036	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.1252	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.1596	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.1505	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.1526	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.0804	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.1011	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.1817	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.1667	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.1252	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.1156	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.1980	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.1386	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.1078	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.1536	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.1960	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.1437	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.1859	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.1353	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.2010	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.1793	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.2034	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.1066	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.1814	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.0986	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.0953	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.1577	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.1748	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.1669	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.0974	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.1234	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.1653	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.1222	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.1733	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.1521	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1407	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1682	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1061	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.1088	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1367	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1777	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.1238	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.2018	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.0803	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1427, Train Accuracy: 0.9569
Epoch 34 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8083, Time consumed:0.92s
Training Epoch: 35 [256/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1442	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1815	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1292	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1250	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.1753	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.1432	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.1617	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.1600	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.1604	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.1361	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.1291	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.1487	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.1251	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.0608	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.1304	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.1517	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.1594	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.1460	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.1553	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.1477	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.0846	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.0875	LR: 0.000800
Training Epoch: 35 [14592/48700]	Loss: 0.1378	LR: 0.000800
Training Epoch: 35 [14848/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 35 [15104/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 35 [15360/48700]	Loss: 0.1315	LR: 0.000800
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Training Epoch: 35 [16896/48700]	Loss: 0.0958	LR: 0.000800
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Training Epoch: 35 [23808/48700]	Loss: 0.0958	LR: 0.000800
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Training Epoch: 35 [28672/48700]	Loss: 0.1017	LR: 0.000800
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Training Epoch: 35 [31232/48700]	Loss: 0.1373	LR: 0.000800
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Training Epoch: 35 [32256/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 35 [32512/48700]	Loss: 0.1507	LR: 0.000800
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Training Epoch: 35 [34560/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 35 [34816/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [35072/48700]	Loss: 0.1333	LR: 0.000800
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Training Epoch: 35 [35840/48700]	Loss: 0.1619	LR: 0.000800
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Training Epoch: 35 [41472/48700]	Loss: 0.1653	LR: 0.000800
Training Epoch: 35 [41728/48700]	Loss: 0.1021	LR: 0.000800
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Training Epoch: 35 [42240/48700]	Loss: 0.1665	LR: 0.000800
Training Epoch: 35 [42496/48700]	Loss: 0.1676	LR: 0.000800
Training Epoch: 35 [42752/48700]	Loss: 0.1304	LR: 0.000800
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Training Epoch: 35 [43264/48700]	Loss: 0.1146	LR: 0.000800
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Training Epoch: 35 [43776/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [44032/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 35 [44288/48700]	Loss: 0.1209	LR: 0.000800
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Training Epoch: 35 [45056/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.1346	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.1594	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1491	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1577	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1467	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.1232	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1226, Train Accuracy: 0.9645
Epoch 35 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8121, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1092	LR: 0.000800
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Training Epoch: 36 [1280/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.1443	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 36 [2304/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 36 [2560/48700]	Loss: 0.1974	LR: 0.000800
Training Epoch: 36 [2816/48700]	Loss: 0.1521	LR: 0.000800
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Training Epoch: 36 [3328/48700]	Loss: 0.1321	LR: 0.000800
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Training Epoch: 36 [3840/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 36 [4096/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 36 [4352/48700]	Loss: 0.1304	LR: 0.000800
Training Epoch: 36 [4608/48700]	Loss: 0.1101	LR: 0.000800
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Training Epoch: 36 [5376/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 36 [5632/48700]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [5888/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 36 [6144/48700]	Loss: 0.1221	LR: 0.000800
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Training Epoch: 36 [7168/48700]	Loss: 0.1188	LR: 0.000800
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Training Epoch: 36 [9984/48700]	Loss: 0.0971	LR: 0.000800
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Training Epoch: 36 [10752/48700]	Loss: 0.1184	LR: 0.000800
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Training Epoch: 36 [11264/48700]	Loss: 0.0976	LR: 0.000800
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Training Epoch: 36 [11776/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [12032/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 36 [12288/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [12544/48700]	Loss: 0.0989	LR: 0.000800
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Training Epoch: 36 [13568/48700]	Loss: 0.1254	LR: 0.000800
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Training Epoch: 36 [15104/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 36 [15360/48700]	Loss: 0.1652	LR: 0.000800
Training Epoch: 36 [15616/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [15872/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [16128/48700]	Loss: 0.1256	LR: 0.000800
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Training Epoch: 36 [16640/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 36 [16896/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [17152/48700]	Loss: 0.1435	LR: 0.000800
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Training Epoch: 36 [17664/48700]	Loss: 0.1048	LR: 0.000800
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Training Epoch: 36 [18176/48700]	Loss: 0.1105	LR: 0.000800
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Training Epoch: 36 [22016/48700]	Loss: 0.1361	LR: 0.000800
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Training Epoch: 36 [24576/48700]	Loss: 0.1344	LR: 0.000800
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Training Epoch: 36 [28160/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 36 [28416/48700]	Loss: 0.1073	LR: 0.000800
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Training Epoch: 36 [33024/48700]	Loss: 0.0988	LR: 0.000800
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Training Epoch: 36 [35328/48700]	Loss: 0.0884	LR: 0.000800
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Training Epoch: 36 [37888/48700]	Loss: 0.1034	LR: 0.000800
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Training Epoch: 36 [38656/48700]	Loss: 0.1041	LR: 0.000800
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Training Epoch: 36 [39424/48700]	Loss: 0.0979	LR: 0.000800
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Training Epoch: 36 [41472/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.1661	LR: 0.000800
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Training Epoch: 36 [43008/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1484	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.0846	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.0826	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.1506	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.0587	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.1185	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1143, Train Accuracy: 0.9666
Epoch 36 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8132, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_06h_20m_13s/ResNet18-Cifar20-seed3-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.1689	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.1621	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.0936	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.0830	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.0904	LR: 0.000800
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Training Epoch: 37 [3328/48700]	Loss: 0.1027	LR: 0.000800
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Training Epoch: 37 [4352/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.0910	LR: 0.000800
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Training Epoch: 37 [9472/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.1523	LR: 0.000800
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Training Epoch: 37 [10240/48700]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.0748	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.1640	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.0661	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.0832	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.1250	LR: 0.000800
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Training Epoch: 37 [14336/48700]	Loss: 0.1095	LR: 0.000800
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Training Epoch: 37 [14848/48700]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.1357	LR: 0.000800
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Training Epoch: 37 [22016/48700]	Loss: 0.1316	LR: 0.000800
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Training Epoch: 37 [22528/48700]	Loss: 0.0884	LR: 0.000800
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Training Epoch: 37 [23040/48700]	Loss: 0.1005	LR: 0.000800
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Training Epoch: 37 [25856/48700]	Loss: 0.1115	LR: 0.000800
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Training Epoch: 37 [26368/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.1375	LR: 0.000800
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Training Epoch: 37 [27904/48700]	Loss: 0.0996	LR: 0.000800
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Training Epoch: 37 [28416/48700]	Loss: 0.1312	LR: 0.000800
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Training Epoch: 37 [29440/48700]	Loss: 0.1343	LR: 0.000800
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Training Epoch: 37 [30464/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.0754	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [31232/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 37 [31488/48700]	Loss: 0.0846	LR: 0.000800
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Training Epoch: 37 [33280/48700]	Loss: 0.1142	LR: 0.000800
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Training Epoch: 37 [35840/48700]	Loss: 0.1169	LR: 0.000800
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Training Epoch: 37 [37632/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.1189	LR: 0.000800
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Training Epoch: 37 [38400/48700]	Loss: 0.1483	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.1218	LR: 0.000800
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Training Epoch: 37 [39168/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1361	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.0827	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.0804	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.1154	LR: 0.000800
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Training Epoch: 37 [41472/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.1819	LR: 0.000800
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Training Epoch: 37 [42240/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.1478	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.0740	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.0941	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1340	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.1668	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1120, Train Accuracy: 0.9678
Epoch 37 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0027, Accuracy: 0.8107, Time consumed:0.89s
Training Epoch: 38 [256/48700]	Loss: 0.0825	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.0913	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.0591	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.1314	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.1410	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.1898	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.1566	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.0950	LR: 0.000800
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Training Epoch: 38 [5632/48700]	Loss: 0.0938	LR: 0.000800
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Training Epoch: 38 [8448/48700]	Loss: 0.1145	LR: 0.000800
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Training Epoch: 38 [8960/48700]	Loss: 0.0896	LR: 0.000800
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Training Epoch: 38 [9472/48700]	Loss: 0.1296	LR: 0.000800
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Training Epoch: 38 [10496/48700]	Loss: 0.1511	LR: 0.000800
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Training Epoch: 38 [11776/48700]	Loss: 0.1015	LR: 0.000800
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Training Epoch: 38 [12288/48700]	Loss: 0.1366	LR: 0.000800
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Training Epoch: 38 [13056/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.0861	LR: 0.000800
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Training Epoch: 38 [14080/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.1391	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.1226	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.0742	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.0802	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.1417	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.1403	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.0763	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.0745	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.1296	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.0865	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.0743	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.0794	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.0589	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.1494	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.1430	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.1468	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.0675	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.1413	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.0848	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.1491	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.1371	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.1369	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.0728	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.0755	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.1460	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.1523	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.1328	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.0806	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.0718	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.0765	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.1034	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1095, Train Accuracy: 0.9685
Epoch 38 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0027, Accuracy: 0.8124, Time consumed:0.92s
Training Epoch: 39 [256/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.1650	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.1516	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.1326	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.1396	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.0777	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.0675	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.1410	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.1244	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.1765	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.0633	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.0780	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.0712	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.0898	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.1353	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.1455	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.1436	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.1296	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.0848	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.0846	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1563	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.1321	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.0832	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.1492	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.0641	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.0789	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.1178	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.1534	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.0643	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.1332	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.1425	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.1310	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.1561	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.1455	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.1451	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1496	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.0704	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.1226	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1757	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.0660	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.1606	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1813	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1089, Train Accuracy: 0.9697
Epoch 39 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0027, Accuracy: 0.8115, Time consumed:0.91s
Training Epoch: 40 [256/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.1290	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0630	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.0782	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.0774	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.1370	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.1425	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.1785	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.1358	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.1576	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.0626	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.0557	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.0707	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.1782	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.1049	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.0697	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.1430	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0566	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.0792	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.1386	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.0640	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.1403	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.1633	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.0731	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.1812	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.0657	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.1397	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.1266	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.1609	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1346	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.0744	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.1560	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.1537	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.1408	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1318	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.0735	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.0745	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.1560	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.0790	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.0673	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.1490	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1444	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.1411	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1053, Train Accuracy: 0.9704
Epoch 40 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0027, Accuracy: 0.8119, Time consumed:0.90s
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: 81.19140625
Retain Accuracy: 97.46441650390625
Zero-Retain Forget (ZRF): 0.9030176401138306
Membership Inference Attack (MIA): 0.5892307692307692
Forget vs Retain Membership Inference Attack (MIA): 0.6403846153846153
Forget vs Test Membership Inference Attack (MIA): 0.5307692307692308
Test vs Retain Membership Inference Attack (MIA): 0.5645
Train vs Test Membership Inference Attack (MIA): 0.5985
Forget Set Accuracy (Df): 79.921875
Method Execution Time: 2156.72 seconds
