
📌 Retain class distribution for seed 10:
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 10:
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: 3.1198	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.1666	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.1170	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.1219	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0912	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0483	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9782	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9719	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9686	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9213	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.8878	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9186	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9837	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.9139	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9107	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.9925	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8531	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8317	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.7924	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7851	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.7071	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.7903	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7042	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.8230	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7066	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6879	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.6390	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.6413	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7105	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6220	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.6004	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6947	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.5742	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.5400	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6121	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.5478	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.5607	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.5912	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.8037	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6328	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6131	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.5236	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6656	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5171	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6249	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5383	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.6101	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5873	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.3902	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.7349	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.6393	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.4335	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.4738	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6789	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.6671	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.6534	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.4278	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5779	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.6777	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5232	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.5922	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.5691	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.5794	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.6977	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.5191	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.5549	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5901	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.6019	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.4605	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.5152	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6327	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4384	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.4998	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.4028	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5351	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.5201	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.3894	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5201	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5430	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.5766	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.5864	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4906	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5296	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.5411	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.5054	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.4697	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.4463	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.5666	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.6022	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.5154	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5233	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.4776	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5818	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4933	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.4278	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.5641	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.3639	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.4177	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.5185	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.5712	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.4850	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.5460	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.4066	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.3724	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4443	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4925	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4214	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.5383	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4421	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.3355	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.3619	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.4772	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5695	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4601	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.3969	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4900	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.6022	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.4666	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3976	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.6483	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.5131	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5274	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4572	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3745	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.2654	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.3802	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.5916	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4466	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.3663	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.4172	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.3512	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.5062	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.2784	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4899	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.5706	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4060	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4162	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.5902	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.4899	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.5190	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.5355	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3349	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4150	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.4150	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.5432	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.2072	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3208	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.4670	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.5090	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.4118	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3811	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3404	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.4366	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.4174	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.4218	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.4854	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.4963	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.4510	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.3474	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.3708	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.4518	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.2875	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.4545	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.2423	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.4898	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3640	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.5586	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.5921	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.5043	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.4577	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.3356	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.3960	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.5105	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.4806	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.4123	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.4821	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3874	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4970	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.4186	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.4256	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.4061	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.3594	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3925	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.2721	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3492	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3510	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.4455	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.4123	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.4012	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.1663	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.3746	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5470, Train Accuracy: 0.2199
Epoch 1 training time consumed: 30.11s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0101, Accuracy: 0.2392, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.4276	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.2642	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.2274	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.3921	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 1.9604	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.0560	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1799, Train Accuracy: 0.3236
Epoch 2 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3677, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9325	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 2.0669	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9966	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 2.1255	LR: 0.100000
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Training Epoch: 3 [47616/48700]	Loss: 1.6203	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.8941	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.5671	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9091, Train Accuracy: 0.3995
Epoch 3 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0074, Accuracy: 0.4206, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.5601	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.4048	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7050, Train Accuracy: 0.4617
Epoch 4 training time consumed: 29.62s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0069, Accuracy: 0.4615, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.5420	LR: 0.100000
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Training Epoch: 5 [768/48700]	Loss: 1.5694	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.4372	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5368, Train Accuracy: 0.5086
Epoch 5 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.5222, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.2718	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3971, Train Accuracy: 0.5515
Epoch 6 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0056, Accuracy: 0.5530, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.2919	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.0770	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2822, Train Accuracy: 0.5885
Epoch 7 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0052, Accuracy: 0.5871, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.1952	LR: 0.100000
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Training Epoch: 8 [7168/48700]	Loss: 1.3032	LR: 0.100000
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Training Epoch: 8 [7680/48700]	Loss: 1.1360	LR: 0.100000
Training Epoch: 8 [7936/48700]	Loss: 1.3610	LR: 0.100000
Training Epoch: 8 [8192/48700]	Loss: 1.1201	LR: 0.100000
Training Epoch: 8 [8448/48700]	Loss: 1.1622	LR: 0.100000
Training Epoch: 8 [8704/48700]	Loss: 1.1093	LR: 0.100000
Training Epoch: 8 [8960/48700]	Loss: 1.2444	LR: 0.100000
Training Epoch: 8 [9216/48700]	Loss: 1.1373	LR: 0.100000
Training Epoch: 8 [9472/48700]	Loss: 1.3546	LR: 0.100000
Training Epoch: 8 [9728/48700]	Loss: 1.3265	LR: 0.100000
Training Epoch: 8 [9984/48700]	Loss: 1.1894	LR: 0.100000
Training Epoch: 8 [10240/48700]	Loss: 1.2436	LR: 0.100000
Training Epoch: 8 [10496/48700]	Loss: 1.4145	LR: 0.100000
Training Epoch: 8 [10752/48700]	Loss: 1.2437	LR: 0.100000
Training Epoch: 8 [11008/48700]	Loss: 1.0819	LR: 0.100000
Training Epoch: 8 [11264/48700]	Loss: 1.3508	LR: 0.100000
Training Epoch: 8 [11520/48700]	Loss: 1.2363	LR: 0.100000
Training Epoch: 8 [11776/48700]	Loss: 1.2589	LR: 0.100000
Training Epoch: 8 [12032/48700]	Loss: 1.2405	LR: 0.100000
Training Epoch: 8 [12288/48700]	Loss: 0.9800	LR: 0.100000
Training Epoch: 8 [12544/48700]	Loss: 1.1346	LR: 0.100000
Training Epoch: 8 [12800/48700]	Loss: 1.1266	LR: 0.100000
Training Epoch: 8 [13056/48700]	Loss: 1.3121	LR: 0.100000
Training Epoch: 8 [13312/48700]	Loss: 1.3480	LR: 0.100000
Training Epoch: 8 [13568/48700]	Loss: 1.1651	LR: 0.100000
Training Epoch: 8 [13824/48700]	Loss: 1.1357	LR: 0.100000
Training Epoch: 8 [14080/48700]	Loss: 1.2549	LR: 0.100000
Training Epoch: 8 [14336/48700]	Loss: 1.2384	LR: 0.100000
Training Epoch: 8 [14592/48700]	Loss: 1.2051	LR: 0.100000
Training Epoch: 8 [14848/48700]	Loss: 1.0671	LR: 0.100000
Training Epoch: 8 [15104/48700]	Loss: 1.2469	LR: 0.100000
Training Epoch: 8 [15360/48700]	Loss: 1.0580	LR: 0.100000
Training Epoch: 8 [15616/48700]	Loss: 1.2157	LR: 0.100000
Training Epoch: 8 [15872/48700]	Loss: 1.1565	LR: 0.100000
Training Epoch: 8 [16128/48700]	Loss: 1.2509	LR: 0.100000
Training Epoch: 8 [16384/48700]	Loss: 1.2025	LR: 0.100000
Training Epoch: 8 [16640/48700]	Loss: 1.3653	LR: 0.100000
Training Epoch: 8 [16896/48700]	Loss: 1.1884	LR: 0.100000
Training Epoch: 8 [17152/48700]	Loss: 1.2568	LR: 0.100000
Training Epoch: 8 [17408/48700]	Loss: 1.3145	LR: 0.100000
Training Epoch: 8 [17664/48700]	Loss: 1.1445	LR: 0.100000
Training Epoch: 8 [17920/48700]	Loss: 1.2746	LR: 0.100000
Training Epoch: 8 [18176/48700]	Loss: 1.3207	LR: 0.100000
Training Epoch: 8 [18432/48700]	Loss: 1.0999	LR: 0.100000
Training Epoch: 8 [18688/48700]	Loss: 1.1610	LR: 0.100000
Training Epoch: 8 [18944/48700]	Loss: 1.2377	LR: 0.100000
Training Epoch: 8 [19200/48700]	Loss: 1.3416	LR: 0.100000
Training Epoch: 8 [19456/48700]	Loss: 1.1290	LR: 0.100000
Training Epoch: 8 [19712/48700]	Loss: 1.1700	LR: 0.100000
Training Epoch: 8 [19968/48700]	Loss: 1.1951	LR: 0.100000
Training Epoch: 8 [20224/48700]	Loss: 1.1592	LR: 0.100000
Training Epoch: 8 [20480/48700]	Loss: 1.1560	LR: 0.100000
Training Epoch: 8 [20736/48700]	Loss: 1.1298	LR: 0.100000
Training Epoch: 8 [20992/48700]	Loss: 1.1933	LR: 0.100000
Training Epoch: 8 [21248/48700]	Loss: 1.0862	LR: 0.100000
Training Epoch: 8 [21504/48700]	Loss: 1.0357	LR: 0.100000
Training Epoch: 8 [21760/48700]	Loss: 1.2207	LR: 0.100000
Training Epoch: 8 [22016/48700]	Loss: 1.1753	LR: 0.100000
Training Epoch: 8 [22272/48700]	Loss: 1.0544	LR: 0.100000
Training Epoch: 8 [22528/48700]	Loss: 1.2927	LR: 0.100000
Training Epoch: 8 [22784/48700]	Loss: 1.1125	LR: 0.100000
Training Epoch: 8 [23040/48700]	Loss: 1.2996	LR: 0.100000
Training Epoch: 8 [23296/48700]	Loss: 1.1849	LR: 0.100000
Training Epoch: 8 [23552/48700]	Loss: 1.1798	LR: 0.100000
Training Epoch: 8 [23808/48700]	Loss: 1.1690	LR: 0.100000
Training Epoch: 8 [24064/48700]	Loss: 1.2890	LR: 0.100000
Training Epoch: 8 [24320/48700]	Loss: 1.2935	LR: 0.100000
Training Epoch: 8 [24576/48700]	Loss: 1.2102	LR: 0.100000
Training Epoch: 8 [24832/48700]	Loss: 1.1385	LR: 0.100000
Training Epoch: 8 [25088/48700]	Loss: 1.2571	LR: 0.100000
Training Epoch: 8 [25344/48700]	Loss: 1.2045	LR: 0.100000
Training Epoch: 8 [25600/48700]	Loss: 1.3398	LR: 0.100000
Training Epoch: 8 [25856/48700]	Loss: 1.1625	LR: 0.100000
Training Epoch: 8 [26112/48700]	Loss: 1.3181	LR: 0.100000
Training Epoch: 8 [26368/48700]	Loss: 1.2130	LR: 0.100000
Training Epoch: 8 [26624/48700]	Loss: 1.2153	LR: 0.100000
Training Epoch: 8 [26880/48700]	Loss: 1.3939	LR: 0.100000
Training Epoch: 8 [27136/48700]	Loss: 1.1382	LR: 0.100000
Training Epoch: 8 [27392/48700]	Loss: 1.2361	LR: 0.100000
Training Epoch: 8 [27648/48700]	Loss: 1.0637	LR: 0.100000
Training Epoch: 8 [27904/48700]	Loss: 1.2244	LR: 0.100000
Training Epoch: 8 [28160/48700]	Loss: 1.3228	LR: 0.100000
Training Epoch: 8 [28416/48700]	Loss: 1.1857	LR: 0.100000
Training Epoch: 8 [28672/48700]	Loss: 1.1047	LR: 0.100000
Training Epoch: 8 [28928/48700]	Loss: 1.2311	LR: 0.100000
Training Epoch: 8 [29184/48700]	Loss: 1.2653	LR: 0.100000
Training Epoch: 8 [29440/48700]	Loss: 1.0689	LR: 0.100000
Training Epoch: 8 [29696/48700]	Loss: 1.0600	LR: 0.100000
Training Epoch: 8 [29952/48700]	Loss: 1.1445	LR: 0.100000
Training Epoch: 8 [30208/48700]	Loss: 1.2188	LR: 0.100000
Training Epoch: 8 [30464/48700]	Loss: 1.1805	LR: 0.100000
Training Epoch: 8 [30720/48700]	Loss: 1.0351	LR: 0.100000
Training Epoch: 8 [30976/48700]	Loss: 1.3108	LR: 0.100000
Training Epoch: 8 [31232/48700]	Loss: 1.2153	LR: 0.100000
Training Epoch: 8 [31488/48700]	Loss: 1.2696	LR: 0.100000
Training Epoch: 8 [31744/48700]	Loss: 1.1549	LR: 0.100000
Training Epoch: 8 [32000/48700]	Loss: 1.2108	LR: 0.100000
Training Epoch: 8 [32256/48700]	Loss: 1.0848	LR: 0.100000
Training Epoch: 8 [32512/48700]	Loss: 1.2990	LR: 0.100000
Training Epoch: 8 [32768/48700]	Loss: 1.0889	LR: 0.100000
Training Epoch: 8 [33024/48700]	Loss: 1.1656	LR: 0.100000
Training Epoch: 8 [33280/48700]	Loss: 1.1419	LR: 0.100000
Training Epoch: 8 [33536/48700]	Loss: 1.2925	LR: 0.100000
Training Epoch: 8 [33792/48700]	Loss: 1.1835	LR: 0.100000
Training Epoch: 8 [34048/48700]	Loss: 1.1936	LR: 0.100000
Training Epoch: 8 [34304/48700]	Loss: 1.3267	LR: 0.100000
Training Epoch: 8 [34560/48700]	Loss: 1.3490	LR: 0.100000
Training Epoch: 8 [34816/48700]	Loss: 1.2759	LR: 0.100000
Training Epoch: 8 [35072/48700]	Loss: 1.1836	LR: 0.100000
Training Epoch: 8 [35328/48700]	Loss: 1.3224	LR: 0.100000
Training Epoch: 8 [35584/48700]	Loss: 1.1705	LR: 0.100000
Training Epoch: 8 [35840/48700]	Loss: 1.1299	LR: 0.100000
Training Epoch: 8 [36096/48700]	Loss: 1.0688	LR: 0.100000
Training Epoch: 8 [36352/48700]	Loss: 1.2259	LR: 0.100000
Training Epoch: 8 [36608/48700]	Loss: 1.1667	LR: 0.100000
Training Epoch: 8 [36864/48700]	Loss: 1.0484	LR: 0.100000
Training Epoch: 8 [37120/48700]	Loss: 1.2483	LR: 0.100000
Training Epoch: 8 [37376/48700]	Loss: 1.1332	LR: 0.100000
Training Epoch: 8 [37632/48700]	Loss: 1.2130	LR: 0.100000
Training Epoch: 8 [37888/48700]	Loss: 1.1648	LR: 0.100000
Training Epoch: 8 [38144/48700]	Loss: 1.2700	LR: 0.100000
Training Epoch: 8 [38400/48700]	Loss: 1.2817	LR: 0.100000
Training Epoch: 8 [38656/48700]	Loss: 1.1733	LR: 0.100000
Training Epoch: 8 [38912/48700]	Loss: 1.1376	LR: 0.100000
Training Epoch: 8 [39168/48700]	Loss: 1.2127	LR: 0.100000
Training Epoch: 8 [39424/48700]	Loss: 1.3098	LR: 0.100000
Training Epoch: 8 [39680/48700]	Loss: 1.1192	LR: 0.100000
Training Epoch: 8 [39936/48700]	Loss: 1.1793	LR: 0.100000
Training Epoch: 8 [40192/48700]	Loss: 1.0760	LR: 0.100000
Training Epoch: 8 [40448/48700]	Loss: 1.2983	LR: 0.100000
Training Epoch: 8 [40704/48700]	Loss: 1.1240	LR: 0.100000
Training Epoch: 8 [40960/48700]	Loss: 1.1646	LR: 0.100000
Training Epoch: 8 [41216/48700]	Loss: 1.1912	LR: 0.100000
Training Epoch: 8 [41472/48700]	Loss: 1.2133	LR: 0.100000
Training Epoch: 8 [41728/48700]	Loss: 1.1217	LR: 0.100000
Training Epoch: 8 [41984/48700]	Loss: 1.1219	LR: 0.100000
Training Epoch: 8 [42240/48700]	Loss: 1.0146	LR: 0.100000
Training Epoch: 8 [42496/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 8 [42752/48700]	Loss: 1.2665	LR: 0.100000
Training Epoch: 8 [43008/48700]	Loss: 1.1700	LR: 0.100000
Training Epoch: 8 [43264/48700]	Loss: 1.1313	LR: 0.100000
Training Epoch: 8 [43520/48700]	Loss: 1.1145	LR: 0.100000
Training Epoch: 8 [43776/48700]	Loss: 1.1990	LR: 0.100000
Training Epoch: 8 [44032/48700]	Loss: 1.0983	LR: 0.100000
Training Epoch: 8 [44288/48700]	Loss: 1.2704	LR: 0.100000
Training Epoch: 8 [44544/48700]	Loss: 1.2175	LR: 0.100000
Training Epoch: 8 [44800/48700]	Loss: 1.1407	LR: 0.100000
Training Epoch: 8 [45056/48700]	Loss: 1.2260	LR: 0.100000
Training Epoch: 8 [45312/48700]	Loss: 1.1792	LR: 0.100000
Training Epoch: 8 [45568/48700]	Loss: 1.1995	LR: 0.100000
Training Epoch: 8 [45824/48700]	Loss: 1.1166	LR: 0.100000
Training Epoch: 8 [46080/48700]	Loss: 1.1561	LR: 0.100000
Training Epoch: 8 [46336/48700]	Loss: 1.1695	LR: 0.100000
Training Epoch: 8 [46592/48700]	Loss: 1.1736	LR: 0.100000
Training Epoch: 8 [46848/48700]	Loss: 1.2643	LR: 0.100000
Training Epoch: 8 [47104/48700]	Loss: 1.1767	LR: 0.100000
Training Epoch: 8 [47360/48700]	Loss: 1.2320	LR: 0.100000
Training Epoch: 8 [47616/48700]	Loss: 1.2777	LR: 0.100000
Training Epoch: 8 [47872/48700]	Loss: 1.2094	LR: 0.100000
Training Epoch: 8 [48128/48700]	Loss: 1.0708	LR: 0.100000
Training Epoch: 8 [48384/48700]	Loss: 1.0844	LR: 0.100000
Training Epoch: 8 [48640/48700]	Loss: 1.0243	LR: 0.100000
Training Epoch: 8 [48700/48700]	Loss: 1.0867	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1989, Train Accuracy: 0.6149
Epoch 8 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0062, Accuracy: 0.5515, Time consumed:0.89s
Training Epoch: 9 [256/48700]	Loss: 1.0636	LR: 0.100000
Training Epoch: 9 [512/48700]	Loss: 1.2276	LR: 0.100000
Training Epoch: 9 [768/48700]	Loss: 1.1132	LR: 0.100000
Training Epoch: 9 [1024/48700]	Loss: 1.2616	LR: 0.100000
Training Epoch: 9 [1280/48700]	Loss: 1.1907	LR: 0.100000
Training Epoch: 9 [1536/48700]	Loss: 1.1267	LR: 0.100000
Training Epoch: 9 [1792/48700]	Loss: 1.1015	LR: 0.100000
Training Epoch: 9 [2048/48700]	Loss: 0.8566	LR: 0.100000
Training Epoch: 9 [2304/48700]	Loss: 1.2252	LR: 0.100000
Training Epoch: 9 [2560/48700]	Loss: 1.0991	LR: 0.100000
Training Epoch: 9 [2816/48700]	Loss: 1.1642	LR: 0.100000
Training Epoch: 9 [3072/48700]	Loss: 1.2409	LR: 0.100000
Training Epoch: 9 [3328/48700]	Loss: 1.2316	LR: 0.100000
Training Epoch: 9 [3584/48700]	Loss: 1.1903	LR: 0.100000
Training Epoch: 9 [3840/48700]	Loss: 1.1217	LR: 0.100000
Training Epoch: 9 [4096/48700]	Loss: 1.0904	LR: 0.100000
Training Epoch: 9 [4352/48700]	Loss: 0.9671	LR: 0.100000
Training Epoch: 9 [4608/48700]	Loss: 1.0613	LR: 0.100000
Training Epoch: 9 [4864/48700]	Loss: 1.1683	LR: 0.100000
Training Epoch: 9 [5120/48700]	Loss: 1.2628	LR: 0.100000
Training Epoch: 9 [5376/48700]	Loss: 1.1060	LR: 0.100000
Training Epoch: 9 [5632/48700]	Loss: 1.1493	LR: 0.100000
Training Epoch: 9 [5888/48700]	Loss: 1.2213	LR: 0.100000
Training Epoch: 9 [6144/48700]	Loss: 1.0554	LR: 0.100000
Training Epoch: 9 [6400/48700]	Loss: 1.2108	LR: 0.100000
Training Epoch: 9 [6656/48700]	Loss: 1.1297	LR: 0.100000
Training Epoch: 9 [6912/48700]	Loss: 1.2701	LR: 0.100000
Training Epoch: 9 [7168/48700]	Loss: 1.1539	LR: 0.100000
Training Epoch: 9 [7424/48700]	Loss: 1.1996	LR: 0.100000
Training Epoch: 9 [7680/48700]	Loss: 1.1223	LR: 0.100000
Training Epoch: 9 [7936/48700]	Loss: 1.1275	LR: 0.100000
Training Epoch: 9 [8192/48700]	Loss: 1.0914	LR: 0.100000
Training Epoch: 9 [8448/48700]	Loss: 1.3140	LR: 0.100000
Training Epoch: 9 [8704/48700]	Loss: 1.1024	LR: 0.100000
Training Epoch: 9 [8960/48700]	Loss: 1.2807	LR: 0.100000
Training Epoch: 9 [9216/48700]	Loss: 1.1743	LR: 0.100000
Training Epoch: 9 [9472/48700]	Loss: 0.9905	LR: 0.100000
Training Epoch: 9 [9728/48700]	Loss: 1.3144	LR: 0.100000
Training Epoch: 9 [9984/48700]	Loss: 1.1487	LR: 0.100000
Training Epoch: 9 [10240/48700]	Loss: 1.1222	LR: 0.100000
Training Epoch: 9 [10496/48700]	Loss: 1.0466	LR: 0.100000
Training Epoch: 9 [10752/48700]	Loss: 1.1881	LR: 0.100000
Training Epoch: 9 [11008/48700]	Loss: 1.1502	LR: 0.100000
Training Epoch: 9 [11264/48700]	Loss: 1.2496	LR: 0.100000
Training Epoch: 9 [11520/48700]	Loss: 1.0816	LR: 0.100000
Training Epoch: 9 [11776/48700]	Loss: 1.0479	LR: 0.100000
Training Epoch: 9 [12032/48700]	Loss: 1.0584	LR: 0.100000
Training Epoch: 9 [12288/48700]	Loss: 1.1918	LR: 0.100000
Training Epoch: 9 [12544/48700]	Loss: 1.0146	LR: 0.100000
Training Epoch: 9 [12800/48700]	Loss: 1.1059	LR: 0.100000
Training Epoch: 9 [13056/48700]	Loss: 1.0363	LR: 0.100000
Training Epoch: 9 [13312/48700]	Loss: 1.0557	LR: 0.100000
Training Epoch: 9 [13568/48700]	Loss: 1.1896	LR: 0.100000
Training Epoch: 9 [13824/48700]	Loss: 1.0943	LR: 0.100000
Training Epoch: 9 [14080/48700]	Loss: 1.0691	LR: 0.100000
Training Epoch: 9 [14336/48700]	Loss: 1.0662	LR: 0.100000
Training Epoch: 9 [14592/48700]	Loss: 0.9898	LR: 0.100000
Training Epoch: 9 [14848/48700]	Loss: 1.2412	LR: 0.100000
Training Epoch: 9 [15104/48700]	Loss: 1.1411	LR: 0.100000
Training Epoch: 9 [15360/48700]	Loss: 1.1249	LR: 0.100000
Training Epoch: 9 [15616/48700]	Loss: 1.1597	LR: 0.100000
Training Epoch: 9 [15872/48700]	Loss: 1.1417	LR: 0.100000
Training Epoch: 9 [16128/48700]	Loss: 1.1130	LR: 0.100000
Training Epoch: 9 [16384/48700]	Loss: 1.1598	LR: 0.100000
Training Epoch: 9 [16640/48700]	Loss: 1.1515	LR: 0.100000
Training Epoch: 9 [16896/48700]	Loss: 0.9461	LR: 0.100000
Training Epoch: 9 [17152/48700]	Loss: 1.2457	LR: 0.100000
Training Epoch: 9 [17408/48700]	Loss: 1.2308	LR: 0.100000
Training Epoch: 9 [17664/48700]	Loss: 1.1324	LR: 0.100000
Training Epoch: 9 [17920/48700]	Loss: 1.2161	LR: 0.100000
Training Epoch: 9 [18176/48700]	Loss: 1.0035	LR: 0.100000
Training Epoch: 9 [18432/48700]	Loss: 1.0296	LR: 0.100000
Training Epoch: 9 [18688/48700]	Loss: 1.2044	LR: 0.100000
Training Epoch: 9 [18944/48700]	Loss: 1.1735	LR: 0.100000
Training Epoch: 9 [19200/48700]	Loss: 1.0234	LR: 0.100000
Training Epoch: 9 [19456/48700]	Loss: 1.0984	LR: 0.100000
Training Epoch: 9 [19712/48700]	Loss: 1.0242	LR: 0.100000
Training Epoch: 9 [19968/48700]	Loss: 1.1326	LR: 0.100000
Training Epoch: 9 [20224/48700]	Loss: 0.9124	LR: 0.100000
Training Epoch: 9 [20480/48700]	Loss: 1.0616	LR: 0.100000
Training Epoch: 9 [20736/48700]	Loss: 1.0929	LR: 0.100000
Training Epoch: 9 [20992/48700]	Loss: 0.9697	LR: 0.100000
Training Epoch: 9 [21248/48700]	Loss: 1.1295	LR: 0.100000
Training Epoch: 9 [21504/48700]	Loss: 1.1892	LR: 0.100000
Training Epoch: 9 [21760/48700]	Loss: 1.1165	LR: 0.100000
Training Epoch: 9 [22016/48700]	Loss: 1.0018	LR: 0.100000
Training Epoch: 9 [22272/48700]	Loss: 1.2089	LR: 0.100000
Training Epoch: 9 [22528/48700]	Loss: 1.0521	LR: 0.100000
Training Epoch: 9 [22784/48700]	Loss: 1.1878	LR: 0.100000
Training Epoch: 9 [23040/48700]	Loss: 1.1420	LR: 0.100000
Training Epoch: 9 [23296/48700]	Loss: 1.0610	LR: 0.100000
Training Epoch: 9 [23552/48700]	Loss: 1.0584	LR: 0.100000
Training Epoch: 9 [23808/48700]	Loss: 1.2225	LR: 0.100000
Training Epoch: 9 [24064/48700]	Loss: 1.3439	LR: 0.100000
Training Epoch: 9 [24320/48700]	Loss: 1.1640	LR: 0.100000
Training Epoch: 9 [24576/48700]	Loss: 1.1113	LR: 0.100000
Training Epoch: 9 [24832/48700]	Loss: 1.1164	LR: 0.100000
Training Epoch: 9 [25088/48700]	Loss: 1.0200	LR: 0.100000
Training Epoch: 9 [25344/48700]	Loss: 1.0115	LR: 0.100000
Training Epoch: 9 [25600/48700]	Loss: 1.0385	LR: 0.100000
Training Epoch: 9 [25856/48700]	Loss: 1.0158	LR: 0.100000
Training Epoch: 9 [26112/48700]	Loss: 1.1655	LR: 0.100000
Training Epoch: 9 [26368/48700]	Loss: 1.2970	LR: 0.100000
Training Epoch: 9 [26624/48700]	Loss: 1.0858	LR: 0.100000
Training Epoch: 9 [26880/48700]	Loss: 1.1496	LR: 0.100000
Training Epoch: 9 [27136/48700]	Loss: 1.1984	LR: 0.100000
Training Epoch: 9 [27392/48700]	Loss: 1.0214	LR: 0.100000
Training Epoch: 9 [27648/48700]	Loss: 1.0698	LR: 0.100000
Training Epoch: 9 [27904/48700]	Loss: 1.1395	LR: 0.100000
Training Epoch: 9 [28160/48700]	Loss: 1.1874	LR: 0.100000
Training Epoch: 9 [28416/48700]	Loss: 1.3099	LR: 0.100000
Training Epoch: 9 [28672/48700]	Loss: 1.2715	LR: 0.100000
Training Epoch: 9 [28928/48700]	Loss: 1.1442	LR: 0.100000
Training Epoch: 9 [29184/48700]	Loss: 1.2252	LR: 0.100000
Training Epoch: 9 [29440/48700]	Loss: 0.9798	LR: 0.100000
Training Epoch: 9 [29696/48700]	Loss: 1.0322	LR: 0.100000
Training Epoch: 9 [29952/48700]	Loss: 1.2106	LR: 0.100000
Training Epoch: 9 [30208/48700]	Loss: 1.0634	LR: 0.100000
Training Epoch: 9 [30464/48700]	Loss: 1.0965	LR: 0.100000
Training Epoch: 9 [30720/48700]	Loss: 1.0046	LR: 0.100000
Training Epoch: 9 [30976/48700]	Loss: 1.1342	LR: 0.100000
Training Epoch: 9 [31232/48700]	Loss: 1.2417	LR: 0.100000
Training Epoch: 9 [31488/48700]	Loss: 1.0287	LR: 0.100000
Training Epoch: 9 [31744/48700]	Loss: 1.0410	LR: 0.100000
Training Epoch: 9 [32000/48700]	Loss: 1.0892	LR: 0.100000
Training Epoch: 9 [32256/48700]	Loss: 1.1832	LR: 0.100000
Training Epoch: 9 [32512/48700]	Loss: 1.1694	LR: 0.100000
Training Epoch: 9 [32768/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 9 [33024/48700]	Loss: 1.0739	LR: 0.100000
Training Epoch: 9 [33280/48700]	Loss: 1.1496	LR: 0.100000
Training Epoch: 9 [33536/48700]	Loss: 0.9979	LR: 0.100000
Training Epoch: 9 [33792/48700]	Loss: 1.0930	LR: 0.100000
Training Epoch: 9 [34048/48700]	Loss: 1.0649	LR: 0.100000
Training Epoch: 9 [34304/48700]	Loss: 1.0217	LR: 0.100000
Training Epoch: 9 [34560/48700]	Loss: 1.0232	LR: 0.100000
Training Epoch: 9 [34816/48700]	Loss: 1.0687	LR: 0.100000
Training Epoch: 9 [35072/48700]	Loss: 1.1516	LR: 0.100000
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Training Epoch: 9 [44288/48700]	Loss: 1.2281	LR: 0.100000
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Training Epoch: 9 [45056/48700]	Loss: 1.1749	LR: 0.100000
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Training Epoch: 9 [45824/48700]	Loss: 1.0851	LR: 0.100000
Training Epoch: 9 [46080/48700]	Loss: 1.2391	LR: 0.100000
Training Epoch: 9 [46336/48700]	Loss: 1.1055	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 1.1889	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.1336	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 1.2286	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 0.9896	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.2005	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.1414	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.1060	LR: 0.100000
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Training Epoch: 9 [48640/48700]	Loss: 1.0581	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.1789	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1231, Train Accuracy: 0.6378
Epoch 9 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0054, Accuracy: 0.5815, Time consumed:0.89s
Training Epoch: 10 [256/48700]	Loss: 1.0677	LR: 0.100000
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Training Epoch: 10 [47104/48700]	Loss: 1.0386	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.3838	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0524, Train Accuracy: 0.6596
Epoch 10 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6251, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 0.9904	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 1.2036	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0088, Train Accuracy: 0.6735
Epoch 11 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0046, Accuracy: 0.6330, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 0.8755	LR: 0.100000
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Training Epoch: 12 [48700/48700]	Loss: 1.1331	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9696, Train Accuracy: 0.6869
Epoch 12 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0047, Accuracy: 0.6410, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.9090	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 1.1608	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9316, Train Accuracy: 0.6966
Epoch 13 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0041, Accuracy: 0.6693, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.7991	LR: 0.100000
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Training Epoch: 14 [16384/48700]	Loss: 1.1255	LR: 0.100000
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Training Epoch: 14 [16896/48700]	Loss: 1.0033	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.8631	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.7790	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.7900	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.9681	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.8697	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.7689	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 0.9622	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 0.9550	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 0.8209	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.8658	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 0.9831	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.8365	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.8937	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 0.9086	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 0.9382	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.8711	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 0.9589	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.8026	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.8743	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.9585	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.8839	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.9094	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.8588	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 1.0290	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.8824	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 1.0211	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.8937	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 0.9481	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 0.9829	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.9049	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.9703	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 0.9366	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.9778	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9110	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.8550	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 0.9078	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.9224	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.8699	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 0.9161	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 0.9011	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 1.0026	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.8336	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.8951	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.8333	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.9499	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.9006	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.8964	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.9548	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.8856	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.8374	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.9314	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 1.0004	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.9387	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 0.8003	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9053	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 1.0017	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.8616	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.8135	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.8454	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.8407	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.8980	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.9431	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.9281	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.8897	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 0.7910	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 1.0367	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.9409	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.8385	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9531	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.8349	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.8801	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 1.0539	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.8943	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 0.8616	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.7279	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.9006	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 0.9450	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.7520	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.7737	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.9455	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 0.7548	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.9148	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 0.7790	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 0.9771	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.8396	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 0.8545	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 0.8422	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.8018	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 0.8030	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9842	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 0.9258	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.7997	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.9632	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.8078	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 1.0085	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 0.9038	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 0.8534	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.8573	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.8760	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 0.7539	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 0.7888	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 0.9062	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 1.0059	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 1.0092	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 0.8680	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 0.8676	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 0.7975	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.7857	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.8130	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.8977	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 0.8245	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.8969	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 1.0274	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 1.0878	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 1.0164	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 0.8333	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.9988	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 1.0249	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9164	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 0.9682	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 0.9167	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 1.1087	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.9066	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9049, Train Accuracy: 0.7071
Epoch 14 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0049, Accuracy: 0.6218, Time consumed:0.95s
Training Epoch: 15 [256/48700]	Loss: 0.8974	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8490	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 0.8101	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.8064	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.7847	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.8932	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.8057	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.6939	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8840	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.8483	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.8489	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.8123	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.7747	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.9192	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.7560	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.6359	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.7522	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.8136	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.6722	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.6723	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.7009	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.6743	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7086	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7335	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.7356	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.7117	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.7272	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.8451	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.6106	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.7128	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.6604	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.6544	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.7233	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.7480	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.6063	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.7431	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.7456	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.7176	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7254	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.7776	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.6200	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.7116	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.6356	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7348	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.6028	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.7036	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.6147	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.5633	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.8151	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.7532	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.6539	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.6948	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.7950	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.7226	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.6628	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.6074	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.7095	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.7468	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.7726	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.7305	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.6491	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.7729	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.6818	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.6156	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.6256	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.7383	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.7114	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.6188	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.7382	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.6960	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.7408	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.7590	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.6676	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.7496	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.6650	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.6584	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.7780	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.8196	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.7275	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.6355	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.6644	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.6987	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.6576	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.7218	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.7190	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.7269	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.6991	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.6803	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.6122	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.6837	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.7661	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.6277	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.7836	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.6717	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.7130	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.6629	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6175	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.6467	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.6989	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.6973	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.6237	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.7045	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.6160	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.7054	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.5782	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.7263	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.5931	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.5669	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.5887	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.5839	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.6364	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.5762	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.6148	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.5753	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.6142	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.8431	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.6426	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.6893	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.6222	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.7408	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.5300	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.6641	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6503	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.5945	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6170	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.6732	LR: 0.020000
Training Epoch: 15 [42240/48700]	Loss: 0.5395	LR: 0.020000
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Training Epoch: 15 [48640/48700]	Loss: 0.6407	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.6850	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6690, Train Accuracy: 0.7839
Epoch 15 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7652, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5731	LR: 0.020000
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Training Epoch: 16 [48700/48700]	Loss: 0.9605	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5798, Train Accuracy: 0.8108
Epoch 16 training time consumed: 29.70s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7664, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.5439	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.6028	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5487, Train Accuracy: 0.8217
Epoch 17 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7720, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.4864	LR: 0.020000
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Training Epoch: 18 [46080/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.5831	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.5703	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5976	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.3963	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5163, Train Accuracy: 0.8283
Epoch 18 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0028, Accuracy: 0.7746, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.5090	LR: 0.020000
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Training Epoch: 19 [768/48700]	Loss: 0.4884	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.4715	LR: 0.020000
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Training Epoch: 19 [47616/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.5106	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.8221	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4981, Train Accuracy: 0.8369
Epoch 19 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7709, Time consumed:1.03s
Training Epoch: 20 [256/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 20 [1792/48700]	Loss: 0.5972	LR: 0.020000
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Training Epoch: 20 [15360/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.4450	LR: 0.020000
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Training Epoch: 20 [17920/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.4316	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.3933	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.4711	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.4340	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.4405	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.4690	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.4711	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.4288	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.5886	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.4471	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.4318	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.4526	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.4808	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.4479	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5332	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.4088	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.4841	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.5428	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.5990	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.5708	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.7154	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4715, Train Accuracy: 0.8452
Epoch 20 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7652, Time consumed:0.89s
Training Epoch: 21 [256/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.3558	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.4186	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.4198	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.3649	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.5530	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.3716	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.4318	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.4519	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.5125	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.5181	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.4464	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.4133	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.4002	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.3393	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.4376	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.3277	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.4020	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.4312	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.4233	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.5160	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.4123	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.3699	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4473	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.4733	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.4073	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.5187	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.5005	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.5283	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.4850	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.3679	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.4568	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.4868	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.4846	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.4639	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.5530	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.4471	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.3386	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.4284	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.4519	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.6140	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4478, Train Accuracy: 0.8530
Epoch 21 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7702, Time consumed:0.98s
Training Epoch: 22 [256/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.3253	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.4593	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.3653	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.3368	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.3211	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.3541	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.4763	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.4711	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.3669	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.4875	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.3864	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.4854	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.3765	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.5140	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.3793	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.3873	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.4702	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.4559	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.4404	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.4532	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.4605	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.4252	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.3624	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.5641	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.4629	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.3693	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.5083	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.4695	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.4325	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.4213	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.3480	LR: 0.020000
Training Epoch: 22 [31488/48700]	Loss: 0.3780	LR: 0.020000
Training Epoch: 22 [31744/48700]	Loss: 0.4252	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 22 [32256/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 22 [32512/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 22 [32768/48700]	Loss: 0.3830	LR: 0.020000
Training Epoch: 22 [33024/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 22 [33280/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 22 [33536/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.4153	LR: 0.020000
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Training Epoch: 22 [34816/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 22 [35072/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 22 [35328/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 22 [35584/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 22 [35840/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 22 [36096/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 22 [36352/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.4062	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.4595	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.6166	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.3913	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.4198	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.4235	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.4500	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.5421	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.4006	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.4896	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.4920	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.3944	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4327, Train Accuracy: 0.8550
Epoch 22 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0032, Accuracy: 0.7628, Time consumed:0.90s
Training Epoch: 23 [256/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.4627	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.3966	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.3293	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.4107	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.4598	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.2585	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.3873	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.5719	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.4245	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.3624	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.3889	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.2773	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.4545	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.2891	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.4893	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4382	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.3231	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.3276	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.3950	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5041	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.4601	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.4050	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.4022	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4500	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.4235	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.3019	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.4393	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4304	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.5791	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.3913	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.4562	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4695	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.4362	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.5709	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.4577	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.3715	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.4250	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4152, Train Accuracy: 0.8618
Epoch 23 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0030, Accuracy: 0.7691, Time consumed:0.94s
Training Epoch: 24 [256/48700]	Loss: 0.3257	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.3363	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.3516	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.3005	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.3023	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.3446	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.4795	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4281	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.3467	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.3933	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.2861	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.3070	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.3377	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3731	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.3301	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.3933	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4498	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.5236	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3123	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.3159	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.3582	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.3414	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.3722	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3564	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.3717	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3703	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.3679	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.2935	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.4554	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.3834	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.3353	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.2899	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.3391	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.4193	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.4456	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.4799	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.4343	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.5683	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.3266	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.3045	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.4987	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.3310	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.4044	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.3251	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.4233	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.4695	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.3784	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.4189	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.4170	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.3980	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4038, Train Accuracy: 0.8659
Epoch 24 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7721, Time consumed:0.91s
Training Epoch: 25 [256/48700]	Loss: 0.3865	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.3421	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.3669	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.3212	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.3957	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.2673	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.4248	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.3150	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4067	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.2883	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.4217	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.4405	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.3271	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.4911	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.2770	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.3070	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3120	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.4601	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.4556	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4505	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4308	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.2890	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.3115	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.3292	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.2998	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.4348	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3095	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.3540	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.4184	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.4166	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.3351	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.3462	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.4374	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.3601	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 25 [29952/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 25 [30208/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.4522	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.2757	LR: 0.020000
Training Epoch: 25 [32000/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 25 [32256/48700]	Loss: 0.4604	LR: 0.020000
Training Epoch: 25 [32512/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 25 [33024/48700]	Loss: 0.3657	LR: 0.020000
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Training Epoch: 25 [33536/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.4348	LR: 0.020000
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Training Epoch: 25 [34560/48700]	Loss: 0.3388	LR: 0.020000
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Training Epoch: 25 [35072/48700]	Loss: 0.2995	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 25 [35584/48700]	Loss: 0.3971	LR: 0.020000
Training Epoch: 25 [35840/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.4620	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.4500	LR: 0.020000
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Training Epoch: 25 [39168/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.3448	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3180	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4470	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.3682	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.3899	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.4069	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.4690	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.3717	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.4073	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.3214	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3978, Train Accuracy: 0.8664
Epoch 25 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7705, Time consumed:1.00s
Training Epoch: 26 [256/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3631	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.3419	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3071	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.2776	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.4661	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.3409	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.2848	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4821	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.2726	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.2848	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3968	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.4568	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.2666	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.2820	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.2663	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.4497	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.2997	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.4405	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.4110	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.2990	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.2965	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.3405	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.2943	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.4767	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.2535	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.3386	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.2767	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.3541	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3254	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.4113	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.2922	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.2771	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.3528	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.3808	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.3210	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.3211	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.3358	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.3222	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.3132	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3377	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.4040	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.4473	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.3449	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.4115	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.4431	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.3547	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.3920	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3392	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.3212	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.6747	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3827, Train Accuracy: 0.8726
Epoch 26 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0034, Accuracy: 0.7557, Time consumed:0.90s
Training Epoch: 27 [256/48700]	Loss: 0.2769	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.3654	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3077	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.3035	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.4113	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3654	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.3403	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.4676	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.2863	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3453	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.2940	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.2854	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.2931	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.3189	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3136	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3135	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.3731	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3430	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.2387	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3280	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.2799	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.3178	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3170	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.3912	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.2786	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.2993	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.4303	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.2666	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.2835	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.3847	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.4329	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.2894	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.3768	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3504	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.3169	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4148	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.3272	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.3920	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3040	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.3411	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.3104	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.2999	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.2953	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3012	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.3049	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.3700	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.5552	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.3312	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.4479	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.2626	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3745, Train Accuracy: 0.8736
Epoch 27 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7641, Time consumed:0.97s
Training Epoch: 28 [256/48700]	Loss: 0.3277	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.3090	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.2678	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.2616	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.2874	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.2998	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.2852	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.2483	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.3076	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.2876	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.2880	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.2974	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.3382	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.3032	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.3042	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3588	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.2773	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3024	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.3022	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.4011	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3037	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.3143	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.3211	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.2780	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3398	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.3055	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3058	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.3117	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.2861	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.3396	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3275	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.2744	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.2896	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.2766	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.3177	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.2606	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.3533	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.2538	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.2628	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.3893	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.3246	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3217	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.3615	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.3568	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3032	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.3024	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.3749	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3066	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.4387	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.2974	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3507	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.3382	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3158	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3417	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.3199	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.3377	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3094	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3720	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.2982	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.3680	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.3787	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3546	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.3542	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.3915	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.3899	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.3570	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.3132	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.4193	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.3414	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.3176	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.2986	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3241	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.4273	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3109	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5708	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.4155	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.3476	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3560, Train Accuracy: 0.8818
Epoch 28 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7667, Time consumed:0.90s
Training Epoch: 29 [256/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.2827	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3251	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.3459	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3443	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.3363	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.2595	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.4363	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.3055	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.2640	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.3099	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.2792	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.2775	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.2958	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.3421	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3817	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.3234	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.3069	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.2727	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3137	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.2833	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.2904	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3780	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.2926	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.2841	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.2865	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.2959	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.2909	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.3152	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.2764	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.3679	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.2904	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.4125	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.3448	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.4633	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.2598	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.2729	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.2782	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.2969	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.3238	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.2980	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.3135	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.4109	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.3301	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.2763	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.2873	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.3233	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.2696	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3411	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.3287	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.3362	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.2421	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.3009	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3004	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.2758	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3108	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3443	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.3031	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3588	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.2833	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.3687	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.4544	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.3581	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.3084	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.3550	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3497, Train Accuracy: 0.8835
Epoch 29 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0032, Accuracy: 0.7689, Time consumed:0.90s
Training Epoch: 30 [256/48700]	Loss: 0.2554	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.3402	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.2776	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.3662	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.2272	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.3276	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.2666	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.2524	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.3051	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.2929	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.3105	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.2942	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.3645	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.3020	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2767	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2756	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.2911	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2535	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2122	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.3118	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2052	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.2343	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.2686	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2534	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2887	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2549	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2720	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2658	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2949	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.2957	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2273	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.3036	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2124	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2658	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.2092	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.2043	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2183	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2606	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.2353	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2158	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.1820	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.2705	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2289	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.1971	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.1650	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2596	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2059	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.2159	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.1746	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.2513	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.2682	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.2154	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2719	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.2470	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2310	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2667	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.3245	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.2182	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.2445	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2461	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2120	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.2334	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.2015	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.2707	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.1779	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.1951	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.2417	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.2470	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.2661	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2438	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.2362	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2162	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.2194	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.2047	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.3176	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.2348	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2402	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.2310	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2589	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.2367	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2885	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2344	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2917	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.1949	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.1988	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.2239	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.2101	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.1821	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.2041	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.2579	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.2149	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.1551	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.1845	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.1974	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.2111	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.2037	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.1659	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2189	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.2265	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.2078	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.2195	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.1806	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.2069	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.1852	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.2119	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.2159	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.1984	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.1766	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.2099	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2149	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.2695	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.2222	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.1988	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.1911	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.2850	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.2511	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.2058	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.2433	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.1848	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.2090	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.2038	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2280	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2113	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.1997	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2879	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.2534	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.1842	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.1897	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.2173	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.1734	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.2475	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.1898	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.1897	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.2411	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.2162	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.2243	LR: 0.004000
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Training Epoch: 30 [45312/48700]	Loss: 0.2089	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.1944	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2545	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.2253	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.2313	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.2030	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.1846	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.2118	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.1746	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.2215	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.1599	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.2050	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.2320	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2283, Train Accuracy: 0.9280
Epoch 30 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8044, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1931	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1795	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1497	LR: 0.004000
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Training Epoch: 31 [1280/48700]	Loss: 0.1345	LR: 0.004000
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Training Epoch: 31 [45312/48700]	Loss: 0.1384	LR: 0.004000
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Training Epoch: 31 [46080/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.1870	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.1457	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.2352	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.1656	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.1782	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.1869	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1537	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1475	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.4482	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1855, Train Accuracy: 0.9429
Epoch 31 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8072, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1907	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1800	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1264	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.2287	LR: 0.004000
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Training Epoch: 32 [47872/48700]	Loss: 0.1457	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.1224	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.1276	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.2081	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2300	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1656, Train Accuracy: 0.9495
Epoch 32 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8119, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1850	LR: 0.004000
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Training Epoch: 33 [38912/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.1729	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.1497	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.1552	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.1267	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.1552	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.1597	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.1916	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.1794	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.1169	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.1183	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.2143	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.1394	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1643	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1433	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.2846	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1446	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1642	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1933	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1777	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1572	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.2162	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1462	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.2357	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1541	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1112	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1456	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.2160	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.2064	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1480	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1101	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.1045	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1525, Train Accuracy: 0.9540
Epoch 33 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8097, Time consumed:0.92s
Training Epoch: 34 [256/48700]	Loss: 0.0957	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.1981	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.0942	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1062	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1747	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1393	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.1077	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.1675	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.1311	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.1684	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.2141	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.0896	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.1396	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.1334	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.1682	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.1599	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.1301	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.0824	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.1505	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.1817	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.1799	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.1267	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.2053	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.1184	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.0987	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.1298	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.1581	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.1829	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.1542	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.0927	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.1610	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.1761	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.0907	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.1499	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.1261	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.1526	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.1085	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.1653	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.1254	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.1118	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.1089	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1641	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.1652	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.1413	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.1599	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.1735	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.1123	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.1105	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.1368	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.1720	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.1116	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.1696	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.1120	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.1022	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.1772	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.1468	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.1551	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.1667	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.0933	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.1500	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.1514	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.0941	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.1321	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.1257	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.1449	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.1138	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.1584	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.1191	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.1579	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.1468	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.1840	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.1154	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.1047	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.1500	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.1135	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.1113	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.1350	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.0816	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.1458	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.1488	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.1101	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.1251	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.1313	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.1898	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.1781	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.1376	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.1381	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.1637	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.1598	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.1360	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.1424	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.1638	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.1389	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.1068	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.1506	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.1126	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.1164	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.1592	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.1829	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.1425	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1581	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1474	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1551	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.0650	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1194	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.0922	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1107	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.1317	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1388, Train Accuracy: 0.9584
Epoch 34 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8095, Time consumed:0.90s
Training Epoch: 35 [256/48700]	Loss: 0.1799	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1314	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.1778	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.1703	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.1545	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.1356	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.1819	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.1536	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.1580	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.1501	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.1882	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.1555	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.0818	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.1414	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.1636	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.1478	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.1251	LR: 0.000800
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Training Epoch: 35 [22016/48700]	Loss: 0.1322	LR: 0.000800
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Training Epoch: 35 [32512/48700]	Loss: 0.1182	LR: 0.000800
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Training Epoch: 35 [44032/48700]	Loss: 0.1051	LR: 0.000800
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Training Epoch: 35 [46080/48700]	Loss: 0.1763	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1446	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.0857	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.1276	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1249, Train Accuracy: 0.9636
Epoch 35 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8161, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_39m_55s/ResNet18-Cifar20-seed10-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1030	LR: 0.000800
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Training Epoch: 36 [1280/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.1513	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.1632	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.0836	LR: 0.000800
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Training Epoch: 36 [11776/48700]	Loss: 0.1010	LR: 0.000800
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Training Epoch: 36 [16896/48700]	Loss: 0.1144	LR: 0.000800
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Training Epoch: 36 [24576/48700]	Loss: 0.1590	LR: 0.000800
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Training Epoch: 36 [28416/48700]	Loss: 0.1196	LR: 0.000800
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Training Epoch: 36 [38400/48700]	Loss: 0.1557	LR: 0.000800
Training Epoch: 36 [38656/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [38912/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 36 [39168/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 36 [39424/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 36 [39680/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.0579	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.1331	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.0747	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.1295	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.1445	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1494	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.1469	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1416	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.0846	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.0650	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.1226	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.1337	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.1451	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.1748	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.0964	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1188, Train Accuracy: 0.9659
Epoch 36 training time consumed: 29.71s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8149, Time consumed:0.88s
Training Epoch: 37 [256/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.1524	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.1714	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.1449	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.0782	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.1550	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.0685	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.1862	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.0759	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.1403	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.0730	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.0780	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.1431	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.1297	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.1433	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.0666	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.1475	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.0792	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.1408	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.0766	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.1414	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.0620	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.1274	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.1408	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.1442	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.1391	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 37 [17920/48700]	Loss: 0.0728	LR: 0.000800
Training Epoch: 37 [18176/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.0843	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.0932	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [20992/48700]	Loss: 0.1562	LR: 0.000800
Training Epoch: 37 [21248/48700]	Loss: 0.1521	LR: 0.000800
Training Epoch: 37 [21504/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [21760/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [22016/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.0740	LR: 0.000800
Training Epoch: 37 [22784/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 37 [23040/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 37 [23552/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 37 [23808/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [24320/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 37 [24576/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [24832/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [25344/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.1570	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.1448	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.1429	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.1724	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [29184/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 37 [29440/48700]	Loss: 0.1985	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 37 [29952/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 37 [30208/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [30464/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 37 [31232/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 37 [31488/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 37 [31744/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 37 [32000/48700]	Loss: 0.1778	LR: 0.000800
Training Epoch: 37 [32256/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [32512/48700]	Loss: 0.1405	LR: 0.000800
Training Epoch: 37 [32768/48700]	Loss: 0.1607	LR: 0.000800
Training Epoch: 37 [33024/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 37 [33280/48700]	Loss: 0.0794	LR: 0.000800
Training Epoch: 37 [33536/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 37 [33792/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [34048/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 37 [34304/48700]	Loss: 0.0738	LR: 0.000800
Training Epoch: 37 [34560/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 37 [34816/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 37 [35072/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 37 [35328/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 37 [35584/48700]	Loss: 0.0837	LR: 0.000800
Training Epoch: 37 [35840/48700]	Loss: 0.1593	LR: 0.000800
Training Epoch: 37 [36096/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 37 [36352/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 37 [36608/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 37 [36864/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.1370	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.1266	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.0830	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.1290	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [40960/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [41216/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 37 [41472/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 37 [41984/48700]	Loss: 0.1563	LR: 0.000800
Training Epoch: 37 [42240/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.0787	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.0724	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.1546	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1395	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1937	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1269	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.1115	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1156, Train Accuracy: 0.9675
Epoch 37 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8128, Time consumed:0.96s
Training Epoch: 38 [256/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.1436	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.0597	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.0732	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.0641	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.0750	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.1266	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.0670	LR: 0.000800
Training Epoch: 38 [6912/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [7168/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [7424/48700]	Loss: 0.0789	LR: 0.000800
Training Epoch: 38 [7680/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 38 [7936/48700]	Loss: 0.1366	LR: 0.000800
Training Epoch: 38 [8192/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [8448/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 38 [8704/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 38 [8960/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 38 [9216/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 38 [9472/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [9728/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 38 [9984/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 38 [10240/48700]	Loss: 0.0564	LR: 0.000800
Training Epoch: 38 [10496/48700]	Loss: 0.0594	LR: 0.000800
Training Epoch: 38 [10752/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 38 [11008/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 38 [11264/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 38 [11520/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 38 [11776/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 38 [12032/48700]	Loss: 0.0850	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.0900	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.1621	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.1361	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.1387	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.1363	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.1550	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.0872	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.1375	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.0913	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.1464	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.1515	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.1546	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.1488	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.1351	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.1629	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.1309	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.1450	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1226	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.1601	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.0765	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.1378	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.0801	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.1373	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.1393	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.1434	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.0756	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.1337	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1351	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.1605	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.1767	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.1117	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.0912	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2167	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1132, Train Accuracy: 0.9673
Epoch 38 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8126, Time consumed:0.90s
Training Epoch: 39 [256/48700]	Loss: 0.1301	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.1577	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.1407	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1393	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.1385	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.0713	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.0847	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.1250	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.0786	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.1419	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.1244	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1475	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.0790	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.0780	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.1615	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.0774	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.0763	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.1488	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.1732	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1269	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.0936	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.1403	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.1762	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.0837	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.1524	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.1049	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.1763	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.0727	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1462	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.1497	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.0890	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.1395	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.1620	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1497	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.1585	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.1416	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1427	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1218	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1117, Train Accuracy: 0.9671
Epoch 39 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8134, Time consumed:0.97s
Training Epoch: 40 [256/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.1478	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.0730	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.0829	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1447	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.1670	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.0697	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.1339	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1250	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.0578	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1291	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.1296	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.1508	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.1535	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.1333	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.0501	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.0900	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.0805	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.0675	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.0740	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.0801	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.0808	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.1304	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1975	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.1400	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.1244	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.1264	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.0697	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.0690	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1547	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.1305	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.0775	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.1372	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.1398	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1070, Train Accuracy: 0.9694
Epoch 40 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8154, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.6796875
Retain Accuracy: 97.48133087158203
Zero-Retain Forget (ZRF): 0.9037659764289856
Membership Inference Attack (MIA): 0.6176923076923077
Forget vs Retain Membership Inference Attack (MIA): 0.6076923076923076
Forget vs Test Membership Inference Attack (MIA): 0.5096153846153846
Test vs Retain Membership Inference Attack (MIA): 0.56175
Train vs Test Membership Inference Attack (MIA): 0.602
Forget Set Accuracy (Df): 79.921875
Method Execution Time: 2162.10 seconds
