
📌 Retain class distribution for seed 6:
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 6:
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: 3.2185	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.1968	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.1349	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.2067	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.1314	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0214	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9930	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9724	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.8921	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9246	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9593	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9780	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9480	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.9394	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9304	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.9142	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.7520	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8176	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8576	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7376	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.6998	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.6600	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.5853	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.6486	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.6047	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7188	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.8172	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7906	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.5843	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.5903	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.5146	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6043	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.5767	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6078	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.5888	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6129	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.5515	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6769	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6660	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.5755	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.4812	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.6278	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5593	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5402	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6598	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.4500	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.6915	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.6616	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.6385	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.6714	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5642	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5750	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5858	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.5925	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.4894	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.4524	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5008	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5567	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.5473	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5671	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.3626	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.6115	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.5364	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.4318	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4928	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.6605	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.4361	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4777	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.5132	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.6274	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6115	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.5693	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.5719	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.5333	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.6348	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.3748	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.3807	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5433	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.7188	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.6745	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.5304	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4208	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5086	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4859	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.3878	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5974	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.6805	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.6063	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.4782	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4585	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.4934	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.5720	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5622	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4781	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.5383	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4683	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.5098	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.5986	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.6110	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.5278	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.5379	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.6705	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.3669	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.5348	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.5792	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4964	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.5046	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.4941	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4109	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.4667	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4686	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.5343	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5190	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.5280	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.3667	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4908	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.5849	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.6227	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.4210	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.5451	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.5239	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.4747	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.5811	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3640	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.5692	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4939	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.3549	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4982	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.3025	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.2999	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4789	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.2913	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.3475	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3588	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3955	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.2246	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.6215	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.4104	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.3699	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.5039	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.4952	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3421	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.3431	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.2314	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.3001	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.2911	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.4580	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.4509	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.3870	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.5477	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.4583	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.2883	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.5197	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.4265	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.4167	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3576	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.4896	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.3475	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4332	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.4243	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3908	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.4151	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.5575	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.4155	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.2422	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.4194	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4488	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.2947	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.4748	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3100	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.4079	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.4021	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3074	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.2902	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.2927	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.4016	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3735	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4319	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.3906	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3931	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.2439	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2909	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.4108	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3625	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3968	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3118	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.6802	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.4306	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.4361	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.4423	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.2871	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5427, Train Accuracy: 0.2194
Epoch 1 training time consumed: 30.31s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0106, Accuracy: 0.2262, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.4632	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.5314	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.4524	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.4352	LR: 0.100000
Training Epoch: 2 [1280/48700]	Loss: 2.3589	LR: 0.100000
Training Epoch: 2 [1536/48700]	Loss: 2.3290	LR: 0.100000
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Training Epoch: 2 [41728/48700]	Loss: 1.9931	LR: 0.100000
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Training Epoch: 2 [42240/48700]	Loss: 2.1584	LR: 0.100000
Training Epoch: 2 [42496/48700]	Loss: 1.9736	LR: 0.100000
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Training Epoch: 2 [44544/48700]	Loss: 1.9807	LR: 0.100000
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Training Epoch: 2 [46336/48700]	Loss: 2.0621	LR: 0.100000
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Training Epoch: 2 [47616/48700]	Loss: 2.0568	LR: 0.100000
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Training Epoch: 2 [48128/48700]	Loss: 1.9843	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 2.0393	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.3383	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1640, Train Accuracy: 0.3266
Epoch 2 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0084, Accuracy: 0.3499, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.0876	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 2.1582	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9808	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 2.0010	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 2.0189	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 2.1600	LR: 0.100000
Training Epoch: 3 [1792/48700]	Loss: 2.1550	LR: 0.100000
Training Epoch: 3 [2048/48700]	Loss: 2.0000	LR: 0.100000
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Training Epoch: 3 [47104/48700]	Loss: 1.7928	LR: 0.100000
Training Epoch: 3 [47360/48700]	Loss: 1.7635	LR: 0.100000
Training Epoch: 3 [47616/48700]	Loss: 1.8873	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.9750	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.8259	LR: 0.100000
Training Epoch: 3 [48384/48700]	Loss: 1.9035	LR: 0.100000
Training Epoch: 3 [48640/48700]	Loss: 1.9380	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.9759	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9073, Train Accuracy: 0.4018
Epoch 3 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0077, Accuracy: 0.3888, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.7773	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.7516	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6999, Train Accuracy: 0.4624
Epoch 4 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0075, Accuracy: 0.4387, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.5326	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.8967	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5267, Train Accuracy: 0.5139
Epoch 5 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4877, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.2463	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3893, Train Accuracy: 0.5524
Epoch 6 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0064, Accuracy: 0.5246, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.3026	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.2196	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2818, Train Accuracy: 0.5884
Epoch 7 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0062, Accuracy: 0.5261, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.0652	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.6305	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1905, Train Accuracy: 0.6161
Epoch 8 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0050, Accuracy: 0.6030, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.1148	LR: 0.100000
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Training Epoch: 9 [48700/48700]	Loss: 1.3982	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1077, Train Accuracy: 0.6424
Epoch 9 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0049, Accuracy: 0.6219, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-9-best.pth
Training Epoch: 10 [256/48700]	Loss: 1.0916	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.2475	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0479, Train Accuracy: 0.6601
Epoch 10 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0047, Accuracy: 0.6316, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 1.0119	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 1.1075	LR: 0.100000
Epoch 11 - Average Train Loss: 0.9956, Train Accuracy: 0.6752
Epoch 11 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6405, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 0.8631	LR: 0.100000
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Training Epoch: 12 [48640/48700]	Loss: 1.0422	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 0.9798	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9579, Train Accuracy: 0.6905
Epoch 12 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6478, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.9467	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 0.7462	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9178, Train Accuracy: 0.7016
Epoch 13 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0051, Accuracy: 0.6077, Time consumed:0.90s
Training Epoch: 14 [256/48700]	Loss: 0.8297	LR: 0.100000
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Training Epoch: 14 [16128/48700]	Loss: 1.1006	LR: 0.100000
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Training Epoch: 14 [16640/48700]	Loss: 0.8829	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.8349	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.7798	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.9304	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.9224	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.8613	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.9428	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 1.0280	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 0.7929	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 0.9177	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 0.8773	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 1.0396	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 0.8333	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.8723	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.8938	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 1.0153	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 0.8694	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.8202	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 0.8318	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.9284	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.8532	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.8543	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.9913	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.9318	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.8180	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 0.8541	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.9002	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.8513	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.9079	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.9699	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 0.8279	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 0.7787	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.9405	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.9664	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 0.8996	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.8516	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9165	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.9510	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 0.9862	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.8597	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.9045	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 1.0174	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 1.0062	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.9703	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.9160	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.8158	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.8862	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.8114	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.9733	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.7561	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.8339	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.8247	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.8719	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.8942	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 0.9385	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.7692	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 0.9115	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9195	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 0.8208	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.8584	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.8169	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.7388	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.8318	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.8011	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.8904	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.9894	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.8171	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 0.8412	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 0.8414	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.8375	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.8040	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9475	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.9263	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9687	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.8930	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 0.8728	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.9124	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.8116	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 0.8748	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.9978	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.8191	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.7582	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 0.9204	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.8371	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 0.9096	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 0.8851	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.8631	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 0.8816	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 0.8768	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.9055	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 0.8836	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9653	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 0.8644	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.8690	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.9484	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.8340	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 0.8114	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 0.9313	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 0.9868	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.9696	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 1.0443	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 1.0771	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 0.8572	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 0.8379	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 0.8127	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.9935	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 1.0002	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 1.0259	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 0.8130	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.9468	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.8751	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 0.8265	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.7982	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 1.0160	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 0.8645	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 1.0340	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 0.9705	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.8536	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 0.9772	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.8597	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 0.9461	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 1.1519	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.9802	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.8129	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9025, Train Accuracy: 0.7089
Epoch 14 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0047, Accuracy: 0.6415, Time consumed:0.96s
Training Epoch: 15 [256/48700]	Loss: 0.8655	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8958	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 0.8722	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.7623	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.7973	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.7698	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.7655	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.8300	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8087	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.7755	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.8583	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.8107	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.8794	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.8241	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.8611	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.6383	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.7117	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.7788	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.7507	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.8600	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.7110	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.8014	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7147	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7854	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.7349	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.7559	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.6810	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.6381	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.7462	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.6413	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.7150	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.7556	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.6629	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7592	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.6000	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.7366	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.6475	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.7147	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.6962	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7476	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.6765	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.7236	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.6468	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.7469	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.6576	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.6323	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.8839	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.5221	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.6502	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.6802	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.6605	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.6630	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.6450	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.6118	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.7018	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.6789	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.6112	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.7280	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.5621	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.6362	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.7711	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.6318	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.6643	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.6466	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.7817	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.6411	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.6540	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.6588	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.7278	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.5380	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.6882	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.6407	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.6611	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.6800	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.6169	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.7092	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.6552	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.7397	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.7186	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.7690	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.6608	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.7235	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.6944	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.6396	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.5614	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.6303	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.5641	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.4842	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.5683	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.7036	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.6748	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.7931	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.6339	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6494	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.7439	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.6363	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.6394	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.5730	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.6677	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.6800	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.7153	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.6974	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.7868	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.6423	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.6317	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.7205	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.5931	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.6571	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.8213	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.6847	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.7012	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.6442	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.6049	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.5708	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.7036	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.6876	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.6758	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6049	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.6188	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.6162	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6098	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.6723	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.6426	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.6073	LR: 0.020000
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Training Epoch: 15 [48640/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.6961	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6642, Train Accuracy: 0.7836
Epoch 15 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0028, Accuracy: 0.7723, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5958	LR: 0.020000
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Training Epoch: 16 [48700/48700]	Loss: 0.4501	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5797, Train Accuracy: 0.8096
Epoch 16 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7741, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.4912	LR: 0.020000
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Training Epoch: 17 [16128/48700]	Loss: 0.5306	LR: 0.020000
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Training Epoch: 17 [16640/48700]	Loss: 0.5161	LR: 0.020000
Training Epoch: 17 [16896/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 17 [17152/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 17 [17408/48700]	Loss: 0.4726	LR: 0.020000
Training Epoch: 17 [17664/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 17 [17920/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 17 [18176/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 17 [18432/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 17 [18688/48700]	Loss: 0.5373	LR: 0.020000
Training Epoch: 17 [18944/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 17 [19200/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 17 [19456/48700]	Loss: 0.5701	LR: 0.020000
Training Epoch: 17 [19712/48700]	Loss: 0.6303	LR: 0.020000
Training Epoch: 17 [19968/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 17 [20224/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 17 [20480/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 17 [20736/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 17 [20992/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 17 [21248/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 17 [21504/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 17 [21760/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 17 [22016/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 17 [22272/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 17 [22528/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 17 [22784/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 17 [23040/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 17 [23296/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 17 [23552/48700]	Loss: 0.5708	LR: 0.020000
Training Epoch: 17 [23808/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 17 [24064/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 17 [24320/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 17 [24576/48700]	Loss: 0.6725	LR: 0.020000
Training Epoch: 17 [24832/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 17 [25088/48700]	Loss: 0.5772	LR: 0.020000
Training Epoch: 17 [25344/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 17 [25600/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 17 [25856/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 17 [26112/48700]	Loss: 0.4786	LR: 0.020000
Training Epoch: 17 [26368/48700]	Loss: 0.6733	LR: 0.020000
Training Epoch: 17 [26624/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 17 [26880/48700]	Loss: 0.5886	LR: 0.020000
Training Epoch: 17 [27136/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 17 [27392/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 17 [27648/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 17 [27904/48700]	Loss: 0.6273	LR: 0.020000
Training Epoch: 17 [28160/48700]	Loss: 0.4532	LR: 0.020000
Training Epoch: 17 [28416/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 17 [28672/48700]	Loss: 0.6363	LR: 0.020000
Training Epoch: 17 [28928/48700]	Loss: 0.7039	LR: 0.020000
Training Epoch: 17 [29184/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 17 [29440/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 17 [29696/48700]	Loss: 0.6272	LR: 0.020000
Training Epoch: 17 [29952/48700]	Loss: 0.3784	LR: 0.020000
Training Epoch: 17 [30208/48700]	Loss: 0.6520	LR: 0.020000
Training Epoch: 17 [30464/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 17 [30720/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 17 [30976/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 17 [31232/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 17 [31488/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 17 [31744/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 17 [32000/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 17 [32256/48700]	Loss: 0.5573	LR: 0.020000
Training Epoch: 17 [32512/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 17 [32768/48700]	Loss: 0.5616	LR: 0.020000
Training Epoch: 17 [33024/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 17 [33280/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 17 [33536/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 17 [33792/48700]	Loss: 0.5785	LR: 0.020000
Training Epoch: 17 [34048/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 17 [34304/48700]	Loss: 0.5910	LR: 0.020000
Training Epoch: 17 [34560/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 17 [34816/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 17 [35072/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 17 [35328/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 17 [35584/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 17 [35840/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 17 [36096/48700]	Loss: 0.4897	LR: 0.020000
Training Epoch: 17 [36352/48700]	Loss: 0.6503	LR: 0.020000
Training Epoch: 17 [36608/48700]	Loss: 0.7071	LR: 0.020000
Training Epoch: 17 [36864/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 17 [37120/48700]	Loss: 0.5742	LR: 0.020000
Training Epoch: 17 [37376/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 17 [37632/48700]	Loss: 0.6633	LR: 0.020000
Training Epoch: 17 [37888/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 17 [38144/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 17 [38400/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 17 [38656/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 17 [38912/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 17 [39168/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 17 [39424/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 17 [39680/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 17 [39936/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 17 [40192/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 17 [40448/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 17 [40704/48700]	Loss: 0.5277	LR: 0.020000
Training Epoch: 17 [40960/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 17 [41216/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 17 [41472/48700]	Loss: 0.5168	LR: 0.020000
Training Epoch: 17 [41728/48700]	Loss: 0.5310	LR: 0.020000
Training Epoch: 17 [41984/48700]	Loss: 0.5029	LR: 0.020000
Training Epoch: 17 [42240/48700]	Loss: 0.6347	LR: 0.020000
Training Epoch: 17 [42496/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 17 [42752/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 17 [43008/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 17 [43264/48700]	Loss: 0.5448	LR: 0.020000
Training Epoch: 17 [43520/48700]	Loss: 0.5166	LR: 0.020000
Training Epoch: 17 [43776/48700]	Loss: 0.5677	LR: 0.020000
Training Epoch: 17 [44032/48700]	Loss: 0.6479	LR: 0.020000
Training Epoch: 17 [44288/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 17 [44544/48700]	Loss: 0.4556	LR: 0.020000
Training Epoch: 17 [44800/48700]	Loss: 0.5280	LR: 0.020000
Training Epoch: 17 [45056/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 17 [45312/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 17 [45568/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 17 [45824/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 17 [46080/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 17 [46336/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 17 [46592/48700]	Loss: 0.5899	LR: 0.020000
Training Epoch: 17 [46848/48700]	Loss: 0.5911	LR: 0.020000
Training Epoch: 17 [47104/48700]	Loss: 0.5173	LR: 0.020000
Training Epoch: 17 [47360/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 17 [47616/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 17 [47872/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 17 [48128/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 17 [48384/48700]	Loss: 0.5808	LR: 0.020000
Training Epoch: 17 [48640/48700]	Loss: 0.6079	LR: 0.020000
Training Epoch: 17 [48700/48700]	Loss: 0.7215	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5434, Train Accuracy: 0.8210
Epoch 17 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7715, Time consumed:0.87s
Training Epoch: 18 [256/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [512/48700]	Loss: 0.5435	LR: 0.020000
Training Epoch: 18 [768/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 18 [1024/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 18 [1280/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 18 [1536/48700]	Loss: 0.4582	LR: 0.020000
Training Epoch: 18 [1792/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 18 [2048/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 18 [2304/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 18 [2560/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 18 [2816/48700]	Loss: 0.5854	LR: 0.020000
Training Epoch: 18 [3072/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 18 [3328/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 18 [3584/48700]	Loss: 0.5130	LR: 0.020000
Training Epoch: 18 [3840/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 18 [4096/48700]	Loss: 0.5130	LR: 0.020000
Training Epoch: 18 [4352/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 18 [4608/48700]	Loss: 0.4709	LR: 0.020000
Training Epoch: 18 [4864/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 18 [5120/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 18 [5376/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 18 [5632/48700]	Loss: 0.5874	LR: 0.020000
Training Epoch: 18 [5888/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 18 [6144/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 18 [6400/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 18 [6656/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 18 [6912/48700]	Loss: 0.4407	LR: 0.020000
Training Epoch: 18 [7168/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 18 [7424/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 18 [7680/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 18 [7936/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 18 [8192/48700]	Loss: 0.4097	LR: 0.020000
Training Epoch: 18 [8448/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 18 [8704/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 18 [8960/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 18 [9216/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 18 [9472/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 18 [9728/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 18 [9984/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 18 [10240/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 18 [10496/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 18 [10752/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 18 [11008/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 18 [11264/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 18 [11520/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 18 [11776/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 18 [12032/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 18 [12288/48700]	Loss: 0.5894	LR: 0.020000
Training Epoch: 18 [12544/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 18 [12800/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 18 [13056/48700]	Loss: 0.6364	LR: 0.020000
Training Epoch: 18 [13312/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 18 [13568/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 18 [13824/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 18 [14080/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 18 [14336/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 18 [14592/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 18 [14848/48700]	Loss: 0.5053	LR: 0.020000
Training Epoch: 18 [15104/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 18 [15360/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 18 [15616/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 18 [15872/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 18 [16128/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 18 [16384/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 18 [16640/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 18 [16896/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 18 [17152/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 18 [17408/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 18 [17664/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 18 [17920/48700]	Loss: 0.4512	LR: 0.020000
Training Epoch: 18 [18176/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 18 [18432/48700]	Loss: 0.4018	LR: 0.020000
Training Epoch: 18 [18688/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 18 [18944/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 18 [19200/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 18 [19456/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 18 [19712/48700]	Loss: 0.6177	LR: 0.020000
Training Epoch: 18 [19968/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 18 [20224/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 18 [20480/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 18 [20736/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 18 [20992/48700]	Loss: 0.5224	LR: 0.020000
Training Epoch: 18 [21248/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 18 [21504/48700]	Loss: 0.4922	LR: 0.020000
Training Epoch: 18 [21760/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 18 [22016/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 18 [22272/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 18 [22528/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 18 [22784/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 18 [23040/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 18 [23296/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 18 [23552/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 18 [23808/48700]	Loss: 0.5489	LR: 0.020000
Training Epoch: 18 [24064/48700]	Loss: 0.5413	LR: 0.020000
Training Epoch: 18 [24320/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 18 [24576/48700]	Loss: 0.5588	LR: 0.020000
Training Epoch: 18 [24832/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 18 [25088/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 18 [25344/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 18 [25600/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 18 [25856/48700]	Loss: 0.6145	LR: 0.020000
Training Epoch: 18 [26112/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 18 [26368/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 18 [26624/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 18 [26880/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 18 [27136/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 18 [27392/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 18 [27648/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 18 [27904/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 18 [28160/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 18 [28416/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 18 [28672/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 18 [28928/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 18 [29184/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [29440/48700]	Loss: 0.6127	LR: 0.020000
Training Epoch: 18 [29696/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 18 [29952/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 18 [30208/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 18 [30464/48700]	Loss: 0.4522	LR: 0.020000
Training Epoch: 18 [30720/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 18 [30976/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 18 [31232/48700]	Loss: 0.5564	LR: 0.020000
Training Epoch: 18 [31488/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 18 [31744/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 18 [32000/48700]	Loss: 0.6781	LR: 0.020000
Training Epoch: 18 [32256/48700]	Loss: 0.4613	LR: 0.020000
Training Epoch: 18 [32512/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 18 [32768/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 18 [33024/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 18 [33280/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 18 [33536/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 18 [33792/48700]	Loss: 0.5653	LR: 0.020000
Training Epoch: 18 [34048/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 18 [34304/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 18 [34560/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 18 [34816/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 18 [35072/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 18 [35328/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 18 [35584/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 18 [35840/48700]	Loss: 0.4446	LR: 0.020000
Training Epoch: 18 [36096/48700]	Loss: 0.5652	LR: 0.020000
Training Epoch: 18 [36352/48700]	Loss: 0.5202	LR: 0.020000
Training Epoch: 18 [36608/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 18 [36864/48700]	Loss: 0.5701	LR: 0.020000
Training Epoch: 18 [37120/48700]	Loss: 0.5284	LR: 0.020000
Training Epoch: 18 [37376/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 18 [37632/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 18 [37888/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 18 [38144/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 18 [38400/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 18 [38656/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 18 [38912/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 18 [39168/48700]	Loss: 0.5475	LR: 0.020000
Training Epoch: 18 [39424/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 18 [39680/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 18 [39936/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 18 [40192/48700]	Loss: 0.5785	LR: 0.020000
Training Epoch: 18 [40448/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 18 [40704/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 18 [40960/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 18 [41216/48700]	Loss: 0.4607	LR: 0.020000
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Training Epoch: 18 [45312/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 18 [45824/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 18 [46080/48700]	Loss: 0.5197	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.5381	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.5753	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5418	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.4566	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.3950	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5095, Train Accuracy: 0.8333
Epoch 18 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7687, Time consumed:0.91s
Training Epoch: 19 [256/48700]	Loss: 0.5045	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.5036	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4925, Train Accuracy: 0.8366
Epoch 19 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7743, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-19-best.pth
Training Epoch: 20 [256/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.4822	LR: 0.020000
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Training Epoch: 20 [48700/48700]	Loss: 0.4546	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4716, Train Accuracy: 0.8439
Epoch 20 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0028, Accuracy: 0.7781, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-20-best.pth
Training Epoch: 21 [256/48700]	Loss: 0.4631	LR: 0.020000
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Training Epoch: 21 [39936/48700]	Loss: 0.4919	LR: 0.020000
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Training Epoch: 21 [45568/48700]	Loss: 0.4301	LR: 0.020000
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Training Epoch: 21 [46080/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 21 [48640/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.4205	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4535, Train Accuracy: 0.8501
Epoch 21 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0032, Accuracy: 0.7624, Time consumed:0.88s
Training Epoch: 22 [256/48700]	Loss: 0.4640	LR: 0.020000
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Training Epoch: 22 [1536/48700]	Loss: 0.4315	LR: 0.020000
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Training Epoch: 22 [47872/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.4942	LR: 0.020000
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Training Epoch: 22 [48640/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.4615	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4250, Train Accuracy: 0.8584
Epoch 22 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0029, Accuracy: 0.7791, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-22-best.pth
Training Epoch: 23 [256/48700]	Loss: 0.3197	LR: 0.020000
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Training Epoch: 23 [768/48700]	Loss: 0.3908	LR: 0.020000
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Training Epoch: 23 [14592/48700]	Loss: 0.4084	LR: 0.020000
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Training Epoch: 23 [15104/48700]	Loss: 0.4170	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.5050	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.3068	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4363	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.3875	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.5903	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.3578	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.2900	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.4720	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.4844	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.4678	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.4235	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.4816	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.4679	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.3806	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.4177	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5656	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.4382	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4537	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.4284	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.3228	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.4832	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.4125	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.4449	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.4010	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4417	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4085	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.4526	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.4655	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.3328	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5260	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4526	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.4755	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4497	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.3997	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.3268	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.4040	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.4679	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.2959	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4191, Train Accuracy: 0.8602
Epoch 23 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7778, Time consumed:0.91s
Training Epoch: 24 [256/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3514	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.3195	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.4062	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.3792	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.4398	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.2635	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.3599	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.3145	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.4382	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.4842	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3707	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.2896	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.5026	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.4633	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.3350	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3331	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.4133	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3334	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.3854	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.3391	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.4264	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.3158	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.3037	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.3655	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.4911	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.3205	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.3457	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.3195	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.4104	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.4544	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.3364	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.3165	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4728	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.4662	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.3867	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.4073	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.4303	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.3505	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.4532	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4299	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.3736	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.4127	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.5112	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.5277	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.5463	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4015, Train Accuracy: 0.8679
Epoch 24 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7645, Time consumed:0.94s
Training Epoch: 25 [256/48700]	Loss: 0.3713	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3203	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.3208	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.3209	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.3626	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.3389	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.2830	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.3427	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.4006	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.3839	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3967	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.3448	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.4353	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.2974	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.4094	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.4818	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.3295	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.2792	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3321	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4551	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.4193	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.4011	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.3556	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.4250	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.3398	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.4062	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4861	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.3587	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.3019	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.4529	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.3056	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.3302	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.3841	LR: 0.020000
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Training Epoch: 25 [27904/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.4904	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.3650	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.4105	LR: 0.020000
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Training Epoch: 25 [30208/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.4069	LR: 0.020000
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Training Epoch: 25 [30976/48700]	Loss: 0.3631	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.3876	LR: 0.020000
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Training Epoch: 25 [31744/48700]	Loss: 0.4744	LR: 0.020000
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Training Epoch: 25 [32512/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.4408	LR: 0.020000
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Training Epoch: 25 [33280/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.4364	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.3602	LR: 0.020000
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Training Epoch: 25 [34560/48700]	Loss: 0.3841	LR: 0.020000
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Training Epoch: 25 [35072/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.4357	LR: 0.020000
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Training Epoch: 25 [35840/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.4044	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.3236	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.3654	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.4657	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.2919	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.4449	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.5209	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.3125	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.2666	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.4893	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.4304	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.3770	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.4115	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.5506	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3938, Train Accuracy: 0.8683
Epoch 25 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0030, Accuracy: 0.7782, Time consumed:0.91s
Training Epoch: 26 [256/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.2327	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3188	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3443	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.2749	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.3232	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.2614	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.3704	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.2650	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.3195	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.3103	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.3510	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.2743	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.3652	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.3669	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3124	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.2378	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.3377	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.3196	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3117	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.3128	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.2969	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3103	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.4318	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3471	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3156	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.3422	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.3830	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.2939	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.2789	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.5188	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.4526	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.4470	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.3386	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3839	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.3835	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.3533	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.3679	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3835	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.4044	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.2934	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.3472	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.3343	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.4065	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.4250	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.4335	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.3029	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.4399	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.2853	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.3738	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.3117	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.4525	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.2893	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.3271	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.3108	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.4627	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3793, Train Accuracy: 0.8722
Epoch 26 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0031, Accuracy: 0.7776, Time consumed:0.90s
Training Epoch: 27 [256/48700]	Loss: 0.3241	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.2968	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.2905	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4117	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.3291	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.3017	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.4152	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.4003	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.3065	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3070	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.3178	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.2891	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.3004	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3018	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.2666	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.2704	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.3225	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.2572	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3022	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.3135	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.2948	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3285	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.2954	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.3269	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.3135	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.2892	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3717	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.3136	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.4370	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.3498	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.2940	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.3106	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.3152	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.2664	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.3159	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.3353	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3295	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3590	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4584	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.3216	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.2833	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.2788	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.3564	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.4088	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3118	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.3280	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.3917	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.3112	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.2784	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.2917	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.2629	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.4529	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3867	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.3784	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.3352	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.3855	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3041	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3915	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.4726	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.4923	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.3072	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.4520	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3648, Train Accuracy: 0.8780
Epoch 27 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7730, Time consumed:0.89s
Training Epoch: 28 [256/48700]	Loss: 0.3008	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.3867	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3205	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.2762	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.4211	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.2971	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.4115	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3011	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.3090	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.3577	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.2855	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.3271	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3568	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.2380	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.3217	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.2559	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.2930	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3104	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.3337	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3048	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.2969	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.3138	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.2911	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.2888	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.2675	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.3094	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.2957	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3253	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3519	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3276	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.3257	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.2984	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.2973	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3285	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.3468	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.2693	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.3177	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.2897	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.2801	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.3049	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.2828	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.2839	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3961	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.3665	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.2910	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.4412	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.2903	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3293	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3094	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.4407	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3721	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.3589	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.3359	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.2992	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.2968	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.3961	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.2942	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.4470	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3613, Train Accuracy: 0.8793
Epoch 28 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7782, Time consumed:0.88s
Training Epoch: 29 [256/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.2367	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.3269	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3542	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.2563	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3217	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.2656	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.2110	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.2196	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.3613	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.2987	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.2905	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.3563	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3013	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.3185	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.3661	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.2518	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.3276	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.3185	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.2688	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.3289	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.2817	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.2429	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.2819	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3375	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.3033	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.3145	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3356	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3435	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.2889	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.2685	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.3626	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.2795	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.2613	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4417	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.3787	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3031	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3417	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.3183	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.4109	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.3787	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.3348	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.4605	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3251	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.2948	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.2641	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.2912	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3123	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.2870	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.2698	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.3189	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.2830	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.2503	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.2679	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.2484	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3184	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.3542	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3321	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.2741	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.2792	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3665	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3510	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.3275	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3145	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4685	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.3032	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.2786	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.4464	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.2961	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3421	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.2880	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3899	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.2456	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.3631	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.3519	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.3299	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.2970	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.3277	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.3758	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3493, Train Accuracy: 0.8836
Epoch 29 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7669, Time consumed:0.90s
Training Epoch: 30 [256/48700]	Loss: 0.2411	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.3799	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.3056	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.3301	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.3559	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.3288	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.3661	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.2993	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.2521	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.3440	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.3207	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.2918	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.2496	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.3077	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.3143	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2638	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.3145	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2504	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2780	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2459	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.2379	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.3180	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2969	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2959	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2496	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2578	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2102	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2452	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.2725	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2815	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.1894	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2376	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.2719	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.2499	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.2350	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2108	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2385	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.3377	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2167	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.2668	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2683	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2255	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.2951	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.2465	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2592	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.2669	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.3109	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.2479	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.2488	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2311	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.1915	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2757	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.1967	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.2418	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.2322	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.1339	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.2412	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2293	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2656	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.2566	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2436	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.2480	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.2268	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.1938	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.2213	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2267	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.2561	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.2138	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2357	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.2343	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2661	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.1807	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.1907	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.3110	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.2443	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.2522	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2218	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.2532	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2914	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2193	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2239	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2022	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2701	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.2262	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.1730	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.1969	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.2232	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.2244	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.2144	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2550	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.3011	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.1916	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.2487	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.2368	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.2167	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.2369	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.1993	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2169	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2341	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.2453	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.1854	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.2632	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.2219	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.1908	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.2090	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.2402	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.2085	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.2090	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2616	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.2193	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.1627	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.2567	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.1451	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.2276	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.2086	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.1790	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.1910	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.1772	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.1805	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.2498	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.2036	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.2440	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2618	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.1727	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2663	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.2070	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2230	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.2153	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.2366	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.1659	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.1788	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.1793	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.1845	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.1723	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.1928	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.2321	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.2162	LR: 0.004000
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Training Epoch: 30 [43776/48700]	Loss: 0.2003	LR: 0.004000
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Training Epoch: 30 [44288/48700]	Loss: 0.2158	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.2342	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.2404	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.2118	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.2576	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.1834	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.1961	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.2189	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.2205	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.1990	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.2383	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.2214	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.1892	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.2184	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1942	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.2283	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.2400	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2318, Train Accuracy: 0.9261
Epoch 30 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8074, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1720	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1663	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.2002	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.1641	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.1985	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.1998	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.1856	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.1381	LR: 0.004000
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Training Epoch: 31 [11264/48700]	Loss: 0.1902	LR: 0.004000
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Training Epoch: 31 [28672/48700]	Loss: 0.1909	LR: 0.004000
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Training Epoch: 31 [37888/48700]	Loss: 0.1987	LR: 0.004000
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Training Epoch: 31 [40704/48700]	Loss: 0.1541	LR: 0.004000
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Training Epoch: 31 [43264/48700]	Loss: 0.1895	LR: 0.004000
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Training Epoch: 31 [43776/48700]	Loss: 0.1609	LR: 0.004000
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Training Epoch: 31 [44288/48700]	Loss: 0.1829	LR: 0.004000
Training Epoch: 31 [44544/48700]	Loss: 0.1584	LR: 0.004000
Training Epoch: 31 [44800/48700]	Loss: 0.1797	LR: 0.004000
Training Epoch: 31 [45056/48700]	Loss: 0.2175	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.1716	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.1895	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.2673	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.1987	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.2177	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.1646	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.2353	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.1654	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.1863	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1839	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1323	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3067	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1840, Train Accuracy: 0.9424
Epoch 31 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8070, Time consumed:0.93s
Training Epoch: 32 [256/48700]	Loss: 0.1631	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1571	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1438	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1427	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.2083	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.1714	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.1644	LR: 0.004000
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Training Epoch: 32 [2560/48700]	Loss: 0.1878	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.1596	LR: 0.004000
Training Epoch: 32 [3328/48700]	Loss: 0.1883	LR: 0.004000
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Training Epoch: 32 [48640/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2063	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1668, Train Accuracy: 0.9482
Epoch 32 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8094, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1168	LR: 0.004000
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Training Epoch: 33 [38656/48700]	Loss: 0.1656	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.2088	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.2001	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.2215	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.1551	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.1379	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.2021	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1655	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.1125	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.1182	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.1348	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1369	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1807	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.1818	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.2144	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1852	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1345	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.2338	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1489	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.1820	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1683	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1918	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1287	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1834	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1407	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.1503	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1222	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.1578	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1557, Train Accuracy: 0.9533
Epoch 33 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8072, Time consumed:0.94s
Training Epoch: 34 [256/48700]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.1558	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.0876	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1114	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1447	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1018	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1254	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1384	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1214	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1356	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.2063	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1705	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.1741	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.1613	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.1138	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.1502	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.1405	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.1657	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.1662	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.1117	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.1777	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.2322	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.1026	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.1634	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.0992	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.1813	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.1311	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.1348	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.1554	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.1608	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.1212	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.1471	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.1413	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.2321	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.1496	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.0961	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.0807	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.1518	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.0931	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.1738	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.1151	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.1391	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.2069	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.1117	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.1669	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.1576	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.1495	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.1017	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.1627	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.1908	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.0819	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.1697	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.0895	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.0944	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.1704	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.0845	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.1033	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.0994	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.1099	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.1734	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.1450	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.1200	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.1508	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.1393	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.1500	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.1140	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.1432	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.1719	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.1258	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.0900	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.1142	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.1795	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.1683	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.0880	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.1857	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.0911	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.1262	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.1271	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.1575	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.1690	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.1471	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.1701	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.1062	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.1496	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.1059	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.1717	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.1137	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.2129	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.2204	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.1614	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.1677	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.2109	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.1399	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.2110	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.1450	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.1784	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.1237	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.1870	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.0908	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.1321	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.1152	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.1179	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.1592	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.1504	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.1046	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.1563	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.1573	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.1000	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.1522	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.1216	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.1783	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.0911	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.1020	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.1939	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.1314	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.1255	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.1939	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.1132	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.1250	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.1363	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.1724	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1172	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1502	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1469	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.1131	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.0964	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1097	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1854	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.0864	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.0994	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1261	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.1173	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1411, Train Accuracy: 0.9573
Epoch 34 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8071, Time consumed:0.90s
Training Epoch: 35 [256/48700]	Loss: 0.2068	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1476	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.2038	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.1466	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.1735	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.1609	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.1553	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.1433	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.1533	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.1544	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.1547	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.1192	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.1502	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.1515	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.1251	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.1512	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.1542	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.1502	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.1396	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 35 [14592/48700]	Loss: 0.1430	LR: 0.000800
Training Epoch: 35 [14848/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 35 [15104/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [15360/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 35 [15616/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [15872/48700]	Loss: 0.1571	LR: 0.000800
Training Epoch: 35 [16128/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 35 [16384/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [16640/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 35 [16896/48700]	Loss: 0.1443	LR: 0.000800
Training Epoch: 35 [17152/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [17408/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [17664/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [17920/48700]	Loss: 0.1408	LR: 0.000800
Training Epoch: 35 [18176/48700]	Loss: 0.1182	LR: 0.000800
Training Epoch: 35 [18432/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [18688/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 35 [18944/48700]	Loss: 0.1369	LR: 0.000800
Training Epoch: 35 [19200/48700]	Loss: 0.1626	LR: 0.000800
Training Epoch: 35 [19456/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 35 [19712/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [19968/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 35 [20224/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [20480/48700]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [20736/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [20992/48700]	Loss: 0.1585	LR: 0.000800
Training Epoch: 35 [21248/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 35 [21504/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 35 [21760/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 35 [22016/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 35 [22272/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 35 [22528/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 35 [22784/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 35 [23040/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [23296/48700]	Loss: 0.1525	LR: 0.000800
Training Epoch: 35 [23552/48700]	Loss: 0.1586	LR: 0.000800
Training Epoch: 35 [23808/48700]	Loss: 0.0717	LR: 0.000800
Training Epoch: 35 [24064/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [24320/48700]	Loss: 0.1178	LR: 0.000800
Training Epoch: 35 [24576/48700]	Loss: 0.1480	LR: 0.000800
Training Epoch: 35 [24832/48700]	Loss: 0.1389	LR: 0.000800
Training Epoch: 35 [25088/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 35 [25344/48700]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [25600/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 35 [25856/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 35 [26112/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 35 [26368/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 35 [26624/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [26880/48700]	Loss: 0.1435	LR: 0.000800
Training Epoch: 35 [27136/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [27392/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 35 [27648/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 35 [27904/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 35 [28160/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 35 [28416/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 35 [28672/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 35 [28928/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 35 [29184/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 35 [29440/48700]	Loss: 0.1505	LR: 0.000800
Training Epoch: 35 [29696/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 35 [29952/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 35 [30208/48700]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [30464/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 35 [30720/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 35 [30976/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 35 [31232/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [31488/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 35 [31744/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 35 [32000/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 35 [32256/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 35 [32512/48700]	Loss: 0.1487	LR: 0.000800
Training Epoch: 35 [32768/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 35 [33024/48700]	Loss: 0.0906	LR: 0.000800
Training Epoch: 35 [33280/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [33536/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [33792/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 35 [34048/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 35 [34304/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [34560/48700]	Loss: 0.1400	LR: 0.000800
Training Epoch: 35 [34816/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [35072/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 35 [35328/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [35584/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 35 [35840/48700]	Loss: 0.1697	LR: 0.000800
Training Epoch: 35 [36096/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [36352/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 35 [36608/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 35 [36864/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 35 [37120/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 35 [37376/48700]	Loss: 0.1832	LR: 0.000800
Training Epoch: 35 [37632/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 35 [37888/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 35 [38144/48700]	Loss: 0.1568	LR: 0.000800
Training Epoch: 35 [38400/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 35 [38656/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [38912/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [39168/48700]	Loss: 0.1416	LR: 0.000800
Training Epoch: 35 [39424/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [39680/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 35 [39936/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 35 [40192/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 35 [40448/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 35 [40704/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 35 [40960/48700]	Loss: 0.1435	LR: 0.000800
Training Epoch: 35 [41216/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 35 [41472/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [41728/48700]	Loss: 0.1432	LR: 0.000800
Training Epoch: 35 [41984/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 35 [42240/48700]	Loss: 0.1440	LR: 0.000800
Training Epoch: 35 [42496/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [42752/48700]	Loss: 0.1369	LR: 0.000800
Training Epoch: 35 [43008/48700]	Loss: 0.1270	LR: 0.000800
Training Epoch: 35 [43264/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 35 [43520/48700]	Loss: 0.1498	LR: 0.000800
Training Epoch: 35 [43776/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [44032/48700]	Loss: 0.1391	LR: 0.000800
Training Epoch: 35 [44288/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 35 [44544/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 35 [44800/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 35 [45056/48700]	Loss: 0.1554	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1399	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.1727	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.0761	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.1167	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1230, Train Accuracy: 0.9648
Epoch 35 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8091, Time consumed:0.90s
Training Epoch: 36 [256/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 36 [512/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [768/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 36 [1024/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 36 [1280/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.1655	LR: 0.000800
Training Epoch: 36 [2304/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [2560/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 36 [2816/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [3072/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 36 [3328/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 36 [3584/48700]	Loss: 0.1448	LR: 0.000800
Training Epoch: 36 [3840/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 36 [4096/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 36 [4352/48700]	Loss: 0.1321	LR: 0.000800
Training Epoch: 36 [4608/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [4864/48700]	Loss: 0.1368	LR: 0.000800
Training Epoch: 36 [5120/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 36 [5376/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 36 [5632/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [5888/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [6144/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 36 [6400/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 36 [6656/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 36 [6912/48700]	Loss: 0.0733	LR: 0.000800
Training Epoch: 36 [7168/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 36 [7424/48700]	Loss: 0.1549	LR: 0.000800
Training Epoch: 36 [7680/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [7936/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 36 [8192/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 36 [8448/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 36 [8704/48700]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [8960/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 36 [9216/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 36 [9472/48700]	Loss: 0.1685	LR: 0.000800
Training Epoch: 36 [9728/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 36 [9984/48700]	Loss: 0.1710	LR: 0.000800
Training Epoch: 36 [10240/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 36 [10496/48700]	Loss: 0.1914	LR: 0.000800
Training Epoch: 36 [10752/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 36 [11008/48700]	Loss: 0.1427	LR: 0.000800
Training Epoch: 36 [11264/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 36 [11520/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 36 [11776/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 36 [12032/48700]	Loss: 0.0802	LR: 0.000800
Training Epoch: 36 [12288/48700]	Loss: 0.0682	LR: 0.000800
Training Epoch: 36 [12544/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 36 [12800/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [13056/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 36 [13312/48700]	Loss: 0.1335	LR: 0.000800
Training Epoch: 36 [13568/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [13824/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 36 [14080/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [14336/48700]	Loss: 0.0701	LR: 0.000800
Training Epoch: 36 [14592/48700]	Loss: 0.1400	LR: 0.000800
Training Epoch: 36 [14848/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 36 [15104/48700]	Loss: 0.1462	LR: 0.000800
Training Epoch: 36 [15360/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 36 [15616/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 36 [15872/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 36 [16128/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 36 [16384/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [16640/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 36 [16896/48700]	Loss: 0.1316	LR: 0.000800
Training Epoch: 36 [17152/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [17408/48700]	Loss: 0.1356	LR: 0.000800
Training Epoch: 36 [17664/48700]	Loss: 0.0528	LR: 0.000800
Training Epoch: 36 [17920/48700]	Loss: 0.1636	LR: 0.000800
Training Epoch: 36 [18176/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [18432/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 36 [18688/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [18944/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 36 [19200/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [19456/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 36 [19712/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [19968/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 36 [20224/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 36 [20480/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [20736/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 36 [20992/48700]	Loss: 0.1415	LR: 0.000800
Training Epoch: 36 [21248/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 36 [21504/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 36 [21760/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [22016/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [22272/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 36 [22528/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 36 [22784/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 36 [23040/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [23296/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 36 [23552/48700]	Loss: 0.0804	LR: 0.000800
Training Epoch: 36 [23808/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 36 [24064/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 36 [24320/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 36 [24576/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 36 [24832/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 36 [25088/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 36 [25344/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 36 [25600/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [25856/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 36 [26112/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 36 [26368/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [26624/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 36 [26880/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 36 [27136/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [27392/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 36 [27648/48700]	Loss: 0.1612	LR: 0.000800
Training Epoch: 36 [27904/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 36 [28160/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 36 [28416/48700]	Loss: 0.1418	LR: 0.000800
Training Epoch: 36 [28672/48700]	Loss: 0.1485	LR: 0.000800
Training Epoch: 36 [28928/48700]	Loss: 0.1334	LR: 0.000800
Training Epoch: 36 [29184/48700]	Loss: 0.1414	LR: 0.000800
Training Epoch: 36 [29440/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 36 [29696/48700]	Loss: 0.0862	LR: 0.000800
Training Epoch: 36 [29952/48700]	Loss: 0.1313	LR: 0.000800
Training Epoch: 36 [30208/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 36 [30464/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 36 [30720/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 36 [30976/48700]	Loss: 0.1283	LR: 0.000800
Training Epoch: 36 [31232/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 36 [31488/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [31744/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [32000/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [32256/48700]	Loss: 0.1444	LR: 0.000800
Training Epoch: 36 [32512/48700]	Loss: 0.1220	LR: 0.000800
Training Epoch: 36 [32768/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 36 [33024/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 36 [33280/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 36 [33536/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 36 [33792/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 36 [34048/48700]	Loss: 0.1461	LR: 0.000800
Training Epoch: 36 [34304/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [34560/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 36 [34816/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 36 [35072/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 36 [35328/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [35584/48700]	Loss: 0.1366	LR: 0.000800
Training Epoch: 36 [35840/48700]	Loss: 0.0871	LR: 0.000800
Training Epoch: 36 [36096/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 36 [36352/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [36608/48700]	Loss: 0.0748	LR: 0.000800
Training Epoch: 36 [36864/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [37120/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 36 [37376/48700]	Loss: 0.1488	LR: 0.000800
Training Epoch: 36 [37632/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 36 [37888/48700]	Loss: 0.1628	LR: 0.000800
Training Epoch: 36 [38144/48700]	Loss: 0.1038	LR: 0.000800
Training Epoch: 36 [38400/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 36 [38656/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 36 [38912/48700]	Loss: 0.1626	LR: 0.000800
Training Epoch: 36 [39168/48700]	Loss: 0.1206	LR: 0.000800
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Training Epoch: 36 [40448/48700]	Loss: 0.1314	LR: 0.000800
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Training Epoch: 36 [42240/48700]	Loss: 0.0960	LR: 0.000800
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Training Epoch: 36 [42752/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.1310	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1421	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.1547	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.1846	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.1592	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.1395	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1194, Train Accuracy: 0.9655
Epoch 36 training time consumed: 29.63s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8123, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_09m_55s/ResNet18-Cifar20-seed6-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.0913	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.0743	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1392	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.0967	LR: 0.000800
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Training Epoch: 37 [3328/48700]	Loss: 0.1237	LR: 0.000800
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Training Epoch: 37 [3840/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.0937	LR: 0.000800
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Training Epoch: 37 [5632/48700]	Loss: 0.1388	LR: 0.000800
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Training Epoch: 37 [7936/48700]	Loss: 0.1174	LR: 0.000800
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Training Epoch: 37 [9728/48700]	Loss: 0.1240	LR: 0.000800
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Training Epoch: 37 [11008/48700]	Loss: 0.1614	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.1032	LR: 0.000800
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Training Epoch: 37 [12032/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.1000	LR: 0.000800
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Training Epoch: 37 [12800/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.1043	LR: 0.000800
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Training Epoch: 37 [13824/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.1541	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.1055	LR: 0.000800
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Training Epoch: 37 [14848/48700]	Loss: 0.1298	LR: 0.000800
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Training Epoch: 37 [16128/48700]	Loss: 0.1199	LR: 0.000800
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Training Epoch: 37 [16640/48700]	Loss: 0.1171	LR: 0.000800
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Training Epoch: 37 [25344/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.1418	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.1387	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.1274	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.1203	LR: 0.000800
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Training Epoch: 37 [28160/48700]	Loss: 0.1061	LR: 0.000800
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Training Epoch: 37 [28672/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.1197	LR: 0.000800
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Training Epoch: 37 [29440/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.1161	LR: 0.000800
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Training Epoch: 37 [30464/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.1244	LR: 0.000800
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Training Epoch: 37 [36096/48700]	Loss: 0.1281	LR: 0.000800
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Training Epoch: 37 [36864/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.1326	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1331	LR: 0.000800
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Training Epoch: 37 [40192/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.1096	LR: 0.000800
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Training Epoch: 37 [42240/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.0928	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.1806	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.0811	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.1108	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1154, Train Accuracy: 0.9671
Epoch 37 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8109, Time consumed:0.91s
Training Epoch: 38 [256/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.1598	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.0779	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.1557	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.1650	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.1630	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.1484	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.1503	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.1408	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.1078	LR: 0.000800
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Training Epoch: 38 [6144/48700]	Loss: 0.1520	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 38 [6912/48700]	Loss: 0.1068	LR: 0.000800
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Training Epoch: 38 [7936/48700]	Loss: 0.1547	LR: 0.000800
Training Epoch: 38 [8192/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [8448/48700]	Loss: 0.0908	LR: 0.000800
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Training Epoch: 38 [9984/48700]	Loss: 0.0863	LR: 0.000800
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Training Epoch: 38 [10496/48700]	Loss: 0.1593	LR: 0.000800
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Training Epoch: 38 [11776/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [12032/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.1443	LR: 0.000800
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Training Epoch: 38 [13824/48700]	Loss: 0.1606	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.0832	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.0945	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.0716	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.1655	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.1364	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.0718	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.0798	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.1518	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.1918	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.1717	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.1389	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.1359	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.1162	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.1453	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.0642	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.0748	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.1503	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.1363	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.1391	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1220	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.0829	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.1732	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1569	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.1340	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.0853	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1436	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1272	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.0964	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.1441	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.1301	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1378	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.1555	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.1380	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.1162	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1141, Train Accuracy: 0.9671
Epoch 38 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8112, Time consumed:0.91s
Training Epoch: 39 [256/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.0927	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.0765	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.1292	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.1516	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.1465	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.1162	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.1512	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.1392	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.0645	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.0981	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.1280	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.0811	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.1491	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.1314	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.1612	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.1478	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.1198	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.1598	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.1380	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.1487	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.0898	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.1511	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.0536	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1486	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.1474	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.0723	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.0701	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.0805	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1623	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.1458	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.0593	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.0624	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.0500	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.1611	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.1468	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1040	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1098, Train Accuracy: 0.9682
Epoch 39 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8113, Time consumed:0.89s
Training Epoch: 40 [256/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.1626	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.0729	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1310	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.0567	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.1117	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.1377	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.0724	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.1841	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.1641	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.1533	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.0666	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.0685	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.1491	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.1612	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.0657	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.1356	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.1295	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.1331	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1530	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.0700	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.1479	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.0818	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.0646	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1468	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.0734	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.0631	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1420	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.0699	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.0776	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.1533	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1410	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.0656	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.1479	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.0659	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.1280	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.0621	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.0890	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1447	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.0698	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.0736	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.1489	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.1523	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.0871	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.1145	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1077, Train Accuracy: 0.9688
Epoch 40 training time consumed: 29.60s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8107, Time consumed:0.93s
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: 80.927734375
Retain Accuracy: 97.48281860351562
Zero-Retain Forget (ZRF): 0.9039582014083862
Membership Inference Attack (MIA): 0.62
Forget vs Retain Membership Inference Attack (MIA): 0.6211538461538462
Forget vs Test Membership Inference Attack (MIA): 0.5134615384615384
Test vs Retain Membership Inference Attack (MIA): 0.56125
Train vs Test Membership Inference Attack (MIA): 0.593
Forget Set Accuracy (Df): 79.6875
Method Execution Time: 2236.84 seconds
