
📌 Retain class distribution for seed 9:
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 9:
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: 3.0607	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0462	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0661	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0240	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0016	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 2.9851	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9709	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9408	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9215	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.8237	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9250	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9029	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.8528	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.7960	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8755	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.7589	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.7236	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8746	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.6985	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7393	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.6297	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.6863	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7020	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.6706	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.6725	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6470	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.5952	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.5917	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.6815	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.5789	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.6418	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.7899	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6859	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6668	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6129	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.5981	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6448	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.5268	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6595	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.5317	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.7623	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.7006	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6470	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.6189	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6182	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5209	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.6021	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5992	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5169	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5682	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.7318	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5588	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5684	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6579	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.7315	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5652	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.6235	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5547	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.5285	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.6685	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.5865	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.5068	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.6050	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.4973	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.6928	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.6271	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.4994	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.5832	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.6602	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.6580	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6089	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4485	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.5322	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.6006	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5395	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4831	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.4444	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.6129	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5672	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.4729	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4240	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.5170	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5487	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.5173	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.6197	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5238	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.6455	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.5961	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.3639	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.5412	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.6306	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.4149	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5261	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.5960	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.5263	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4644	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4315	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.4227	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4176	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.4404	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.5353	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4052	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.3991	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.6051	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4325	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4562	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.6192	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.4392	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.3675	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.3773	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.5454	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.3670	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5088	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.5417	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.4538	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4723	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4459	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.5114	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.5240	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.4428	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.2682	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.3535	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.2628	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.1913	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.4843	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4154	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4600	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.3688	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.4869	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3564	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.3802	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4689	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.1800	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4062	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3775	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4489	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.3320	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.4726	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.4171	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3678	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.4328	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3742	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4275	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.5057	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.3322	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.4635	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3738	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.3871	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.2865	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.4585	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.4122	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.4810	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3977	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.2186	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.2386	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3542	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.5074	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.4961	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4459	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.3975	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3115	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.5106	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.1948	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.4223	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.2918	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.4214	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.5913	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.4104	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.5027	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.4782	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.5664	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.3934	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3937	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.5856	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.5392	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.4982	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.4155	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4263	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.4797	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3712	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.4501	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2633	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.2181	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.1534	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.4057	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3399	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.3354	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.1920	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.4362	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.2888	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.4072	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5333, Train Accuracy: 0.2194
Epoch 1 training time consumed: 30.30s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0117, Accuracy: 0.2286, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.5682	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.2733	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.2758	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.3948	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 1.9316	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 1.9046	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1389, Train Accuracy: 0.3354
Epoch 2 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0085, Accuracy: 0.3617, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.1071	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9800	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9681	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9916	LR: 0.100000
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Training Epoch: 3 [47616/48700]	Loss: 1.8419	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.7939	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.7259	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.7352	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8715, Train Accuracy: 0.4114
Epoch 3 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0075, Accuracy: 0.4161, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.6749	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.4198	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6701, Train Accuracy: 0.4701
Epoch 4 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0072, Accuracy: 0.4458, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.4438	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.4262	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5002, Train Accuracy: 0.5228
Epoch 5 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.5239, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.2988	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3648, Train Accuracy: 0.5629
Epoch 6 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0056, Accuracy: 0.5608, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.1905	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.0989	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2519, Train Accuracy: 0.5989
Epoch 7 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0055, Accuracy: 0.5699, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.0783	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.2230	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1765, Train Accuracy: 0.6193
Epoch 8 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0051, Accuracy: 0.5965, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.0799	LR: 0.100000
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Training Epoch: 9 [44288/48700]	Loss: 0.9490	LR: 0.100000
Training Epoch: 9 [44544/48700]	Loss: 1.0967	LR: 0.100000
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Training Epoch: 9 [45568/48700]	Loss: 1.0112	LR: 0.100000
Training Epoch: 9 [45824/48700]	Loss: 0.9992	LR: 0.100000
Training Epoch: 9 [46080/48700]	Loss: 1.1548	LR: 0.100000
Training Epoch: 9 [46336/48700]	Loss: 1.1184	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 1.0381	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.0716	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 1.1069	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.1172	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.1153	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.0323	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.1608	LR: 0.100000
Training Epoch: 9 [48384/48700]	Loss: 1.0831	LR: 0.100000
Training Epoch: 9 [48640/48700]	Loss: 1.2308	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.3043	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1041, Train Accuracy: 0.6420
Epoch 9 training time consumed: 29.53s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5836, Time consumed:0.93s
Training Epoch: 10 [256/48700]	Loss: 1.1977	LR: 0.100000
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Training Epoch: 10 [47616/48700]	Loss: 1.1154	LR: 0.100000
Training Epoch: 10 [47872/48700]	Loss: 1.0314	LR: 0.100000
Training Epoch: 10 [48128/48700]	Loss: 1.0326	LR: 0.100000
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Training Epoch: 10 [48640/48700]	Loss: 1.0721	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.0880	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0476, Train Accuracy: 0.6604
Epoch 10 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6239, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 0.9182	LR: 0.100000
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Training Epoch: 11 [11776/48700]	Loss: 0.9715	LR: 0.100000
Training Epoch: 11 [12032/48700]	Loss: 1.0244	LR: 0.100000
Training Epoch: 11 [12288/48700]	Loss: 0.9713	LR: 0.100000
Training Epoch: 11 [12544/48700]	Loss: 1.1159	LR: 0.100000
Training Epoch: 11 [12800/48700]	Loss: 1.0069	LR: 0.100000
Training Epoch: 11 [13056/48700]	Loss: 0.9546	LR: 0.100000
Training Epoch: 11 [13312/48700]	Loss: 0.9156	LR: 0.100000
Training Epoch: 11 [13568/48700]	Loss: 0.9069	LR: 0.100000
Training Epoch: 11 [13824/48700]	Loss: 0.9642	LR: 0.100000
Training Epoch: 11 [14080/48700]	Loss: 0.9365	LR: 0.100000
Training Epoch: 11 [14336/48700]	Loss: 1.1168	LR: 0.100000
Training Epoch: 11 [14592/48700]	Loss: 1.0371	LR: 0.100000
Training Epoch: 11 [14848/48700]	Loss: 1.1067	LR: 0.100000
Training Epoch: 11 [15104/48700]	Loss: 0.7967	LR: 0.100000
Training Epoch: 11 [15360/48700]	Loss: 1.0633	LR: 0.100000
Training Epoch: 11 [15616/48700]	Loss: 0.9506	LR: 0.100000
Training Epoch: 11 [15872/48700]	Loss: 0.9771	LR: 0.100000
Training Epoch: 11 [16128/48700]	Loss: 1.0997	LR: 0.100000
Training Epoch: 11 [16384/48700]	Loss: 1.1720	LR: 0.100000
Training Epoch: 11 [16640/48700]	Loss: 0.9818	LR: 0.100000
Training Epoch: 11 [16896/48700]	Loss: 0.8395	LR: 0.100000
Training Epoch: 11 [17152/48700]	Loss: 1.0629	LR: 0.100000
Training Epoch: 11 [17408/48700]	Loss: 0.8802	LR: 0.100000
Training Epoch: 11 [17664/48700]	Loss: 1.0900	LR: 0.100000
Training Epoch: 11 [17920/48700]	Loss: 1.0340	LR: 0.100000
Training Epoch: 11 [18176/48700]	Loss: 1.0470	LR: 0.100000
Training Epoch: 11 [18432/48700]	Loss: 1.0101	LR: 0.100000
Training Epoch: 11 [18688/48700]	Loss: 0.9566	LR: 0.100000
Training Epoch: 11 [18944/48700]	Loss: 0.9160	LR: 0.100000
Training Epoch: 11 [19200/48700]	Loss: 0.9737	LR: 0.100000
Training Epoch: 11 [19456/48700]	Loss: 1.0054	LR: 0.100000
Training Epoch: 11 [19712/48700]	Loss: 1.1813	LR: 0.100000
Training Epoch: 11 [19968/48700]	Loss: 1.0172	LR: 0.100000
Training Epoch: 11 [20224/48700]	Loss: 0.8446	LR: 0.100000
Training Epoch: 11 [20480/48700]	Loss: 0.8882	LR: 0.100000
Training Epoch: 11 [20736/48700]	Loss: 1.0136	LR: 0.100000
Training Epoch: 11 [20992/48700]	Loss: 1.0957	LR: 0.100000
Training Epoch: 11 [21248/48700]	Loss: 1.0362	LR: 0.100000
Training Epoch: 11 [21504/48700]	Loss: 1.0185	LR: 0.100000
Training Epoch: 11 [21760/48700]	Loss: 0.8982	LR: 0.100000
Training Epoch: 11 [22016/48700]	Loss: 0.9758	LR: 0.100000
Training Epoch: 11 [22272/48700]	Loss: 0.9966	LR: 0.100000
Training Epoch: 11 [22528/48700]	Loss: 1.0489	LR: 0.100000
Training Epoch: 11 [22784/48700]	Loss: 1.0182	LR: 0.100000
Training Epoch: 11 [23040/48700]	Loss: 1.0797	LR: 0.100000
Training Epoch: 11 [23296/48700]	Loss: 0.9281	LR: 0.100000
Training Epoch: 11 [23552/48700]	Loss: 1.0042	LR: 0.100000
Training Epoch: 11 [23808/48700]	Loss: 0.9327	LR: 0.100000
Training Epoch: 11 [24064/48700]	Loss: 0.9908	LR: 0.100000
Training Epoch: 11 [24320/48700]	Loss: 0.8433	LR: 0.100000
Training Epoch: 11 [24576/48700]	Loss: 0.9708	LR: 0.100000
Training Epoch: 11 [24832/48700]	Loss: 1.0069	LR: 0.100000
Training Epoch: 11 [25088/48700]	Loss: 1.0071	LR: 0.100000
Training Epoch: 11 [25344/48700]	Loss: 0.8863	LR: 0.100000
Training Epoch: 11 [25600/48700]	Loss: 0.9000	LR: 0.100000
Training Epoch: 11 [25856/48700]	Loss: 0.9949	LR: 0.100000
Training Epoch: 11 [26112/48700]	Loss: 0.9602	LR: 0.100000
Training Epoch: 11 [26368/48700]	Loss: 0.9714	LR: 0.100000
Training Epoch: 11 [26624/48700]	Loss: 1.0249	LR: 0.100000
Training Epoch: 11 [26880/48700]	Loss: 0.9284	LR: 0.100000
Training Epoch: 11 [27136/48700]	Loss: 1.0503	LR: 0.100000
Training Epoch: 11 [27392/48700]	Loss: 0.9280	LR: 0.100000
Training Epoch: 11 [27648/48700]	Loss: 1.0706	LR: 0.100000
Training Epoch: 11 [27904/48700]	Loss: 0.9007	LR: 0.100000
Training Epoch: 11 [28160/48700]	Loss: 1.0470	LR: 0.100000
Training Epoch: 11 [28416/48700]	Loss: 1.0086	LR: 0.100000
Training Epoch: 11 [28672/48700]	Loss: 0.8459	LR: 0.100000
Training Epoch: 11 [28928/48700]	Loss: 1.0110	LR: 0.100000
Training Epoch: 11 [29184/48700]	Loss: 1.0405	LR: 0.100000
Training Epoch: 11 [29440/48700]	Loss: 1.0309	LR: 0.100000
Training Epoch: 11 [29696/48700]	Loss: 1.1936	LR: 0.100000
Training Epoch: 11 [29952/48700]	Loss: 1.0583	LR: 0.100000
Training Epoch: 11 [30208/48700]	Loss: 0.9728	LR: 0.100000
Training Epoch: 11 [30464/48700]	Loss: 0.9654	LR: 0.100000
Training Epoch: 11 [30720/48700]	Loss: 0.8679	LR: 0.100000
Training Epoch: 11 [30976/48700]	Loss: 1.0325	LR: 0.100000
Training Epoch: 11 [31232/48700]	Loss: 0.9680	LR: 0.100000
Training Epoch: 11 [31488/48700]	Loss: 1.1892	LR: 0.100000
Training Epoch: 11 [31744/48700]	Loss: 1.0235	LR: 0.100000
Training Epoch: 11 [32000/48700]	Loss: 1.1143	LR: 0.100000
Training Epoch: 11 [32256/48700]	Loss: 0.9317	LR: 0.100000
Training Epoch: 11 [32512/48700]	Loss: 0.9629	LR: 0.100000
Training Epoch: 11 [32768/48700]	Loss: 0.9803	LR: 0.100000
Training Epoch: 11 [33024/48700]	Loss: 0.9957	LR: 0.100000
Training Epoch: 11 [33280/48700]	Loss: 0.8623	LR: 0.100000
Training Epoch: 11 [33536/48700]	Loss: 0.9363	LR: 0.100000
Training Epoch: 11 [33792/48700]	Loss: 0.9616	LR: 0.100000
Training Epoch: 11 [34048/48700]	Loss: 0.8787	LR: 0.100000
Training Epoch: 11 [34304/48700]	Loss: 0.8983	LR: 0.100000
Training Epoch: 11 [34560/48700]	Loss: 0.9462	LR: 0.100000
Training Epoch: 11 [34816/48700]	Loss: 0.9376	LR: 0.100000
Training Epoch: 11 [35072/48700]	Loss: 0.8638	LR: 0.100000
Training Epoch: 11 [35328/48700]	Loss: 1.0498	LR: 0.100000
Training Epoch: 11 [35584/48700]	Loss: 0.9085	LR: 0.100000
Training Epoch: 11 [35840/48700]	Loss: 1.0649	LR: 0.100000
Training Epoch: 11 [36096/48700]	Loss: 1.1119	LR: 0.100000
Training Epoch: 11 [36352/48700]	Loss: 0.8686	LR: 0.100000
Training Epoch: 11 [36608/48700]	Loss: 1.1697	LR: 0.100000
Training Epoch: 11 [36864/48700]	Loss: 0.9229	LR: 0.100000
Training Epoch: 11 [37120/48700]	Loss: 1.0349	LR: 0.100000
Training Epoch: 11 [37376/48700]	Loss: 1.0401	LR: 0.100000
Training Epoch: 11 [37632/48700]	Loss: 0.9547	LR: 0.100000
Training Epoch: 11 [37888/48700]	Loss: 1.0185	LR: 0.100000
Training Epoch: 11 [38144/48700]	Loss: 0.8858	LR: 0.100000
Training Epoch: 11 [38400/48700]	Loss: 0.8675	LR: 0.100000
Training Epoch: 11 [38656/48700]	Loss: 0.9292	LR: 0.100000
Training Epoch: 11 [38912/48700]	Loss: 1.0534	LR: 0.100000
Training Epoch: 11 [39168/48700]	Loss: 1.0884	LR: 0.100000
Training Epoch: 11 [39424/48700]	Loss: 1.0796	LR: 0.100000
Training Epoch: 11 [39680/48700]	Loss: 1.0054	LR: 0.100000
Training Epoch: 11 [39936/48700]	Loss: 0.9378	LR: 0.100000
Training Epoch: 11 [40192/48700]	Loss: 1.0163	LR: 0.100000
Training Epoch: 11 [40448/48700]	Loss: 0.9654	LR: 0.100000
Training Epoch: 11 [40704/48700]	Loss: 1.0506	LR: 0.100000
Training Epoch: 11 [40960/48700]	Loss: 1.0108	LR: 0.100000
Training Epoch: 11 [41216/48700]	Loss: 1.0235	LR: 0.100000
Training Epoch: 11 [41472/48700]	Loss: 0.9030	LR: 0.100000
Training Epoch: 11 [41728/48700]	Loss: 0.9872	LR: 0.100000
Training Epoch: 11 [41984/48700]	Loss: 1.1011	LR: 0.100000
Training Epoch: 11 [42240/48700]	Loss: 1.0997	LR: 0.100000
Training Epoch: 11 [42496/48700]	Loss: 0.7976	LR: 0.100000
Training Epoch: 11 [42752/48700]	Loss: 0.9355	LR: 0.100000
Training Epoch: 11 [43008/48700]	Loss: 0.9603	LR: 0.100000
Training Epoch: 11 [43264/48700]	Loss: 1.0679	LR: 0.100000
Training Epoch: 11 [43520/48700]	Loss: 1.0572	LR: 0.100000
Training Epoch: 11 [43776/48700]	Loss: 1.1172	LR: 0.100000
Training Epoch: 11 [44032/48700]	Loss: 0.8138	LR: 0.100000
Training Epoch: 11 [44288/48700]	Loss: 1.0081	LR: 0.100000
Training Epoch: 11 [44544/48700]	Loss: 1.0689	LR: 0.100000
Training Epoch: 11 [44800/48700]	Loss: 1.1477	LR: 0.100000
Training Epoch: 11 [45056/48700]	Loss: 0.9161	LR: 0.100000
Training Epoch: 11 [45312/48700]	Loss: 0.9996	LR: 0.100000
Training Epoch: 11 [45568/48700]	Loss: 0.9484	LR: 0.100000
Training Epoch: 11 [45824/48700]	Loss: 0.9430	LR: 0.100000
Training Epoch: 11 [46080/48700]	Loss: 1.0570	LR: 0.100000
Training Epoch: 11 [46336/48700]	Loss: 1.0507	LR: 0.100000
Training Epoch: 11 [46592/48700]	Loss: 1.0543	LR: 0.100000
Training Epoch: 11 [46848/48700]	Loss: 0.9082	LR: 0.100000
Training Epoch: 11 [47104/48700]	Loss: 0.9914	LR: 0.100000
Training Epoch: 11 [47360/48700]	Loss: 0.8862	LR: 0.100000
Training Epoch: 11 [47616/48700]	Loss: 1.0247	LR: 0.100000
Training Epoch: 11 [47872/48700]	Loss: 0.9840	LR: 0.100000
Training Epoch: 11 [48128/48700]	Loss: 0.9933	LR: 0.100000
Training Epoch: 11 [48384/48700]	Loss: 1.0290	LR: 0.100000
Training Epoch: 11 [48640/48700]	Loss: 1.0237	LR: 0.100000
Training Epoch: 11 [48700/48700]	Loss: 1.3002	LR: 0.100000
Epoch 11 - Average Train Loss: 0.9876, Train Accuracy: 0.6804
Epoch 11 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6224, Time consumed:0.94s
Training Epoch: 12 [256/48700]	Loss: 0.8588	LR: 0.100000
Training Epoch: 12 [512/48700]	Loss: 0.9922	LR: 0.100000
Training Epoch: 12 [768/48700]	Loss: 1.0335	LR: 0.100000
Training Epoch: 12 [1024/48700]	Loss: 1.1979	LR: 0.100000
Training Epoch: 12 [1280/48700]	Loss: 1.0535	LR: 0.100000
Training Epoch: 12 [1536/48700]	Loss: 0.8438	LR: 0.100000
Training Epoch: 12 [1792/48700]	Loss: 0.8871	LR: 0.100000
Training Epoch: 12 [2048/48700]	Loss: 0.8553	LR: 0.100000
Training Epoch: 12 [2304/48700]	Loss: 1.0749	LR: 0.100000
Training Epoch: 12 [2560/48700]	Loss: 0.9769	LR: 0.100000
Training Epoch: 12 [2816/48700]	Loss: 1.0539	LR: 0.100000
Training Epoch: 12 [3072/48700]	Loss: 1.1082	LR: 0.100000
Training Epoch: 12 [3328/48700]	Loss: 1.0851	LR: 0.100000
Training Epoch: 12 [3584/48700]	Loss: 1.0719	LR: 0.100000
Training Epoch: 12 [3840/48700]	Loss: 0.7915	LR: 0.100000
Training Epoch: 12 [4096/48700]	Loss: 1.0363	LR: 0.100000
Training Epoch: 12 [4352/48700]	Loss: 1.0309	LR: 0.100000
Training Epoch: 12 [4608/48700]	Loss: 0.9436	LR: 0.100000
Training Epoch: 12 [4864/48700]	Loss: 1.0332	LR: 0.100000
Training Epoch: 12 [5120/48700]	Loss: 1.0363	LR: 0.100000
Training Epoch: 12 [5376/48700]	Loss: 0.9869	LR: 0.100000
Training Epoch: 12 [5632/48700]	Loss: 0.9055	LR: 0.100000
Training Epoch: 12 [5888/48700]	Loss: 0.9060	LR: 0.100000
Training Epoch: 12 [6144/48700]	Loss: 1.0105	LR: 0.100000
Training Epoch: 12 [6400/48700]	Loss: 1.0464	LR: 0.100000
Training Epoch: 12 [6656/48700]	Loss: 0.8879	LR: 0.100000
Training Epoch: 12 [6912/48700]	Loss: 0.9006	LR: 0.100000
Training Epoch: 12 [7168/48700]	Loss: 0.9141	LR: 0.100000
Training Epoch: 12 [7424/48700]	Loss: 1.0188	LR: 0.100000
Training Epoch: 12 [7680/48700]	Loss: 0.9208	LR: 0.100000
Training Epoch: 12 [7936/48700]	Loss: 0.9475	LR: 0.100000
Training Epoch: 12 [8192/48700]	Loss: 0.9352	LR: 0.100000
Training Epoch: 12 [8448/48700]	Loss: 0.9276	LR: 0.100000
Training Epoch: 12 [8704/48700]	Loss: 0.9934	LR: 0.100000
Training Epoch: 12 [8960/48700]	Loss: 0.9522	LR: 0.100000
Training Epoch: 12 [9216/48700]	Loss: 0.9495	LR: 0.100000
Training Epoch: 12 [9472/48700]	Loss: 0.8115	LR: 0.100000
Training Epoch: 12 [9728/48700]	Loss: 0.9217	LR: 0.100000
Training Epoch: 12 [9984/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 12 [10240/48700]	Loss: 0.9282	LR: 0.100000
Training Epoch: 12 [10496/48700]	Loss: 0.9653	LR: 0.100000
Training Epoch: 12 [10752/48700]	Loss: 0.8354	LR: 0.100000
Training Epoch: 12 [11008/48700]	Loss: 0.9095	LR: 0.100000
Training Epoch: 12 [11264/48700]	Loss: 0.9325	LR: 0.100000
Training Epoch: 12 [11520/48700]	Loss: 0.7451	LR: 0.100000
Training Epoch: 12 [11776/48700]	Loss: 0.9068	LR: 0.100000
Training Epoch: 12 [12032/48700]	Loss: 0.9266	LR: 0.100000
Training Epoch: 12 [12288/48700]	Loss: 0.8288	LR: 0.100000
Training Epoch: 12 [12544/48700]	Loss: 0.8940	LR: 0.100000
Training Epoch: 12 [12800/48700]	Loss: 0.9097	LR: 0.100000
Training Epoch: 12 [13056/48700]	Loss: 0.8736	LR: 0.100000
Training Epoch: 12 [13312/48700]	Loss: 0.8401	LR: 0.100000
Training Epoch: 12 [13568/48700]	Loss: 0.9927	LR: 0.100000
Training Epoch: 12 [13824/48700]	Loss: 0.8203	LR: 0.100000
Training Epoch: 12 [14080/48700]	Loss: 0.9281	LR: 0.100000
Training Epoch: 12 [14336/48700]	Loss: 0.8049	LR: 0.100000
Training Epoch: 12 [14592/48700]	Loss: 0.9278	LR: 0.100000
Training Epoch: 12 [14848/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 12 [15104/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 12 [15360/48700]	Loss: 0.9459	LR: 0.100000
Training Epoch: 12 [15616/48700]	Loss: 0.8949	LR: 0.100000
Training Epoch: 12 [15872/48700]	Loss: 1.0833	LR: 0.100000
Training Epoch: 12 [16128/48700]	Loss: 0.9004	LR: 0.100000
Training Epoch: 12 [16384/48700]	Loss: 1.0726	LR: 0.100000
Training Epoch: 12 [16640/48700]	Loss: 1.1208	LR: 0.100000
Training Epoch: 12 [16896/48700]	Loss: 0.9737	LR: 0.100000
Training Epoch: 12 [17152/48700]	Loss: 0.9431	LR: 0.100000
Training Epoch: 12 [17408/48700]	Loss: 0.8869	LR: 0.100000
Training Epoch: 12 [17664/48700]	Loss: 0.9098	LR: 0.100000
Training Epoch: 12 [17920/48700]	Loss: 0.9886	LR: 0.100000
Training Epoch: 12 [18176/48700]	Loss: 0.9820	LR: 0.100000
Training Epoch: 12 [18432/48700]	Loss: 0.8672	LR: 0.100000
Training Epoch: 12 [18688/48700]	Loss: 0.9663	LR: 0.100000
Training Epoch: 12 [18944/48700]	Loss: 0.9107	LR: 0.100000
Training Epoch: 12 [19200/48700]	Loss: 0.8984	LR: 0.100000
Training Epoch: 12 [19456/48700]	Loss: 0.9309	LR: 0.100000
Training Epoch: 12 [19712/48700]	Loss: 0.8234	LR: 0.100000
Training Epoch: 12 [19968/48700]	Loss: 1.0583	LR: 0.100000
Training Epoch: 12 [20224/48700]	Loss: 1.0251	LR: 0.100000
Training Epoch: 12 [20480/48700]	Loss: 0.8607	LR: 0.100000
Training Epoch: 12 [20736/48700]	Loss: 1.1052	LR: 0.100000
Training Epoch: 12 [20992/48700]	Loss: 1.1316	LR: 0.100000
Training Epoch: 12 [21248/48700]	Loss: 1.0086	LR: 0.100000
Training Epoch: 12 [21504/48700]	Loss: 0.7618	LR: 0.100000
Training Epoch: 12 [21760/48700]	Loss: 0.9207	LR: 0.100000
Training Epoch: 12 [22016/48700]	Loss: 0.9466	LR: 0.100000
Training Epoch: 12 [22272/48700]	Loss: 1.0224	LR: 0.100000
Training Epoch: 12 [22528/48700]	Loss: 1.0510	LR: 0.100000
Training Epoch: 12 [22784/48700]	Loss: 0.9736	LR: 0.100000
Training Epoch: 12 [23040/48700]	Loss: 1.0720	LR: 0.100000
Training Epoch: 12 [23296/48700]	Loss: 0.9623	LR: 0.100000
Training Epoch: 12 [23552/48700]	Loss: 0.9030	LR: 0.100000
Training Epoch: 12 [23808/48700]	Loss: 0.9031	LR: 0.100000
Training Epoch: 12 [24064/48700]	Loss: 0.9549	LR: 0.100000
Training Epoch: 12 [24320/48700]	Loss: 0.8442	LR: 0.100000
Training Epoch: 12 [24576/48700]	Loss: 0.8869	LR: 0.100000
Training Epoch: 12 [24832/48700]	Loss: 0.8778	LR: 0.100000
Training Epoch: 12 [25088/48700]	Loss: 0.9094	LR: 0.100000
Training Epoch: 12 [25344/48700]	Loss: 0.9927	LR: 0.100000
Training Epoch: 12 [25600/48700]	Loss: 0.9069	LR: 0.100000
Training Epoch: 12 [25856/48700]	Loss: 0.8953	LR: 0.100000
Training Epoch: 12 [26112/48700]	Loss: 0.8505	LR: 0.100000
Training Epoch: 12 [26368/48700]	Loss: 0.9943	LR: 0.100000
Training Epoch: 12 [26624/48700]	Loss: 0.9430	LR: 0.100000
Training Epoch: 12 [26880/48700]	Loss: 0.9200	LR: 0.100000
Training Epoch: 12 [27136/48700]	Loss: 0.9992	LR: 0.100000
Training Epoch: 12 [27392/48700]	Loss: 0.9285	LR: 0.100000
Training Epoch: 12 [27648/48700]	Loss: 0.9866	LR: 0.100000
Training Epoch: 12 [27904/48700]	Loss: 0.9046	LR: 0.100000
Training Epoch: 12 [28160/48700]	Loss: 1.0667	LR: 0.100000
Training Epoch: 12 [28416/48700]	Loss: 0.9853	LR: 0.100000
Training Epoch: 12 [28672/48700]	Loss: 0.9088	LR: 0.100000
Training Epoch: 12 [28928/48700]	Loss: 1.0127	LR: 0.100000
Training Epoch: 12 [29184/48700]	Loss: 1.0068	LR: 0.100000
Training Epoch: 12 [29440/48700]	Loss: 0.9592	LR: 0.100000
Training Epoch: 12 [29696/48700]	Loss: 0.8593	LR: 0.100000
Training Epoch: 12 [29952/48700]	Loss: 0.8770	LR: 0.100000
Training Epoch: 12 [30208/48700]	Loss: 0.9184	LR: 0.100000
Training Epoch: 12 [30464/48700]	Loss: 0.9736	LR: 0.100000
Training Epoch: 12 [30720/48700]	Loss: 1.0240	LR: 0.100000
Training Epoch: 12 [30976/48700]	Loss: 0.9577	LR: 0.100000
Training Epoch: 12 [31232/48700]	Loss: 0.9511	LR: 0.100000
Training Epoch: 12 [31488/48700]	Loss: 0.8498	LR: 0.100000
Training Epoch: 12 [31744/48700]	Loss: 1.0591	LR: 0.100000
Training Epoch: 12 [32000/48700]	Loss: 0.8376	LR: 0.100000
Training Epoch: 12 [32256/48700]	Loss: 0.9967	LR: 0.100000
Training Epoch: 12 [32512/48700]	Loss: 0.9503	LR: 0.100000
Training Epoch: 12 [32768/48700]	Loss: 0.9390	LR: 0.100000
Training Epoch: 12 [33024/48700]	Loss: 0.9506	LR: 0.100000
Training Epoch: 12 [33280/48700]	Loss: 0.8896	LR: 0.100000
Training Epoch: 12 [33536/48700]	Loss: 0.8924	LR: 0.100000
Training Epoch: 12 [33792/48700]	Loss: 0.9771	LR: 0.100000
Training Epoch: 12 [34048/48700]	Loss: 1.0243	LR: 0.100000
Training Epoch: 12 [34304/48700]	Loss: 0.8828	LR: 0.100000
Training Epoch: 12 [34560/48700]	Loss: 0.9521	LR: 0.100000
Training Epoch: 12 [34816/48700]	Loss: 1.0449	LR: 0.100000
Training Epoch: 12 [35072/48700]	Loss: 0.8616	LR: 0.100000
Training Epoch: 12 [35328/48700]	Loss: 1.0780	LR: 0.100000
Training Epoch: 12 [35584/48700]	Loss: 0.8729	LR: 0.100000
Training Epoch: 12 [35840/48700]	Loss: 0.8585	LR: 0.100000
Training Epoch: 12 [36096/48700]	Loss: 0.8687	LR: 0.100000
Training Epoch: 12 [36352/48700]	Loss: 1.0582	LR: 0.100000
Training Epoch: 12 [36608/48700]	Loss: 0.8958	LR: 0.100000
Training Epoch: 12 [36864/48700]	Loss: 0.8055	LR: 0.100000
Training Epoch: 12 [37120/48700]	Loss: 0.9636	LR: 0.100000
Training Epoch: 12 [37376/48700]	Loss: 1.0133	LR: 0.100000
Training Epoch: 12 [37632/48700]	Loss: 0.9850	LR: 0.100000
Training Epoch: 12 [37888/48700]	Loss: 1.0559	LR: 0.100000
Training Epoch: 12 [38144/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 12 [38400/48700]	Loss: 0.9977	LR: 0.100000
Training Epoch: 12 [38656/48700]	Loss: 0.9473	LR: 0.100000
Training Epoch: 12 [38912/48700]	Loss: 1.0397	LR: 0.100000
Training Epoch: 12 [39168/48700]	Loss: 0.9524	LR: 0.100000
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Training Epoch: 12 [48700/48700]	Loss: 0.7645	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9572, Train Accuracy: 0.6902
Epoch 12 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6455, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.9154	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 0.9040	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9178, Train Accuracy: 0.7011
Epoch 13 training time consumed: 29.53s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0042, Accuracy: 0.6666, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.8869	LR: 0.100000
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Training Epoch: 14 [16128/48700]	Loss: 0.8594	LR: 0.100000
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Training Epoch: 14 [16640/48700]	Loss: 0.9005	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.7874	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.8471	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.8884	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.8782	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.8462	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.9803	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 0.8945	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 1.0631	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 0.9351	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.7118	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 0.9400	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.7438	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.9300	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 0.9303	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 0.9563	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.8698	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 1.0310	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.8794	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.8246	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.8915	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.9207	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.9558	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.8099	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 0.8112	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 1.0298	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.7536	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.8053	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 1.0128	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 0.7508	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 0.8330	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.8672	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.8632	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 0.9523	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.9813	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.8110	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.9813	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 0.9306	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.9621	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.7759	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 0.7944	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 0.8407	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.9118	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.8518	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.8697	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.7626	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.9097	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.8230	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.8448	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.9184	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.8657	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.9717	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.7911	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 0.8424	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.8326	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 1.0075	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9567	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 0.9988	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.8357	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.9471	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.8146	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.8957	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.8454	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.9912	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.9397	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.9664	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 0.9812	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 0.9972	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.8323	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.7861	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9558	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.8066	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9915	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 0.9266	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.9932	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 0.8203	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.8403	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.8396	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 0.7433	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.9439	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.9514	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.9533	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.8491	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.9131	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 0.7417	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 0.8982	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.8736	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 0.8622	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 0.8138	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.8937	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 0.8372	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9592	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 0.7349	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.9417	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.9113	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.9049	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 0.8991	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 0.9276	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 0.9015	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.7610	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.9347	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 0.7864	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 1.0417	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 0.8532	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 0.8040	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.8572	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 0.9989	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 0.7728	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 0.8378	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.9087	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.8992	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.9141	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 0.9862	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.7498	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 0.8763	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 0.8792	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 0.8581	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 0.9848	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.9837	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 0.8016	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9188	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 0.9146	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 0.8025	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.8331	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 1.0494	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8863, Train Accuracy: 0.7152
Epoch 14 training time consumed: 29.45s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6281, Time consumed:0.89s
Training Epoch: 15 [256/48700]	Loss: 0.8559	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.9471	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 1.0051	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.7183	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.7937	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.8300	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.8064	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.9540	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.6799	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.7380	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.6877	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.9188	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.7987	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.6775	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.6437	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.6964	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.6127	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.6942	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.7072	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.7439	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.7313	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7616	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7889	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.7667	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.7025	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.6456	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.6772	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.6207	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.6603	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.6841	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.7685	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.7125	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.6595	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.6120	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.6441	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.7414	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.7137	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7832	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.7893	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.6356	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.7552	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.6088	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7025	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.6610	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.7204	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.6764	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.7192	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.6829	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.6581	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.6739	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.7272	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.5763	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.6499	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.6561	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.6148	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.6662	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.6377	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.7388	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.6258	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.7557	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.5890	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.7143	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.6723	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.7412	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.7175	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.6665	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.7134	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.6228	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.5910	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.6086	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.7067	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.5552	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.6944	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.7657	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.6186	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.6417	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.6326	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.7569	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.6882	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.6875	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.7130	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.6003	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.6201	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.6693	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.5904	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.6018	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.6174	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.7784	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.6964	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.6770	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.6839	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.4517	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.5739	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.6341	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.7492	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.6809	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.7141	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.5947	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.6241	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.6994	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.5302	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.6816	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.6413	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.6154	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.5495	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.6000	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.6409	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.6226	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.6575	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.6571	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.6139	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.7206	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.5798	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.7043	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.6279	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.6555	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.6310	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.6521	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.5707	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.7083	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.6501	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.7743	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.6809	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.7713	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.6322	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.7109	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.6301	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.8047	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.6361	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.7240	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.5990	LR: 0.020000
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Training Epoch: 15 [48128/48700]	Loss: 0.4599	LR: 0.020000
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Training Epoch: 15 [48640/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.6750	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6537, Train Accuracy: 0.7879
Epoch 15 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7659, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.6132	LR: 0.020000
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Training Epoch: 16 [48640/48700]	Loss: 0.5993	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.5271	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5724, Train Accuracy: 0.8125
Epoch 16 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0028, Accuracy: 0.7729, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.4879	LR: 0.020000
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Training Epoch: 17 [16128/48700]	Loss: 0.6096	LR: 0.020000
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Training Epoch: 17 [16640/48700]	Loss: 0.5185	LR: 0.020000
Training Epoch: 17 [16896/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 17 [17152/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 17 [17408/48700]	Loss: 0.5994	LR: 0.020000
Training Epoch: 17 [17664/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 17 [17920/48700]	Loss: 0.4755	LR: 0.020000
Training Epoch: 17 [18176/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 17 [18432/48700]	Loss: 0.5181	LR: 0.020000
Training Epoch: 17 [18688/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 17 [18944/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 17 [19200/48700]	Loss: 0.4735	LR: 0.020000
Training Epoch: 17 [19456/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 17 [19712/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 17 [19968/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 17 [20224/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 17 [20480/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 17 [20736/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 17 [20992/48700]	Loss: 0.6518	LR: 0.020000
Training Epoch: 17 [21248/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 17 [21504/48700]	Loss: 0.4304	LR: 0.020000
Training Epoch: 17 [21760/48700]	Loss: 0.6294	LR: 0.020000
Training Epoch: 17 [22016/48700]	Loss: 0.5611	LR: 0.020000
Training Epoch: 17 [22272/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 17 [22528/48700]	Loss: 0.6652	LR: 0.020000
Training Epoch: 17 [22784/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 17 [23040/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 17 [23296/48700]	Loss: 0.6272	LR: 0.020000
Training Epoch: 17 [23552/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 17 [23808/48700]	Loss: 0.6855	LR: 0.020000
Training Epoch: 17 [24064/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 17 [24320/48700]	Loss: 0.6360	LR: 0.020000
Training Epoch: 17 [24576/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 17 [24832/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 17 [25088/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 17 [25344/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 17 [25600/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 17 [25856/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 17 [26112/48700]	Loss: 0.6157	LR: 0.020000
Training Epoch: 17 [26368/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 17 [26624/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 17 [26880/48700]	Loss: 0.5336	LR: 0.020000
Training Epoch: 17 [27136/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 17 [27392/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 17 [27648/48700]	Loss: 0.5128	LR: 0.020000
Training Epoch: 17 [27904/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 17 [28160/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 17 [28416/48700]	Loss: 0.5449	LR: 0.020000
Training Epoch: 17 [28672/48700]	Loss: 0.6304	LR: 0.020000
Training Epoch: 17 [28928/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 17 [29184/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 17 [29440/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 17 [29696/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 17 [29952/48700]	Loss: 0.5692	LR: 0.020000
Training Epoch: 17 [30208/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 17 [30464/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 17 [30720/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 17 [30976/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 17 [31232/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 17 [31488/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 17 [31744/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 17 [32000/48700]	Loss: 0.5608	LR: 0.020000
Training Epoch: 17 [32256/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 17 [32512/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 17 [32768/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 17 [33024/48700]	Loss: 0.4831	LR: 0.020000
Training Epoch: 17 [33280/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 17 [33536/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 17 [33792/48700]	Loss: 0.5377	LR: 0.020000
Training Epoch: 17 [34048/48700]	Loss: 0.5339	LR: 0.020000
Training Epoch: 17 [34304/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 17 [34560/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 17 [34816/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 17 [35072/48700]	Loss: 0.6286	LR: 0.020000
Training Epoch: 17 [35328/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 17 [35584/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 17 [35840/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 17 [36096/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 17 [36352/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 17 [36608/48700]	Loss: 0.6621	LR: 0.020000
Training Epoch: 17 [36864/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 17 [37120/48700]	Loss: 0.6180	LR: 0.020000
Training Epoch: 17 [37376/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 17 [37632/48700]	Loss: 0.6097	LR: 0.020000
Training Epoch: 17 [37888/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 17 [38144/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 17 [38400/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 17 [38656/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 17 [38912/48700]	Loss: 0.6221	LR: 0.020000
Training Epoch: 17 [39168/48700]	Loss: 0.6551	LR: 0.020000
Training Epoch: 17 [39424/48700]	Loss: 0.5862	LR: 0.020000
Training Epoch: 17 [39680/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 17 [39936/48700]	Loss: 0.5907	LR: 0.020000
Training Epoch: 17 [40192/48700]	Loss: 0.5117	LR: 0.020000
Training Epoch: 17 [40448/48700]	Loss: 0.5641	LR: 0.020000
Training Epoch: 17 [40704/48700]	Loss: 0.6344	LR: 0.020000
Training Epoch: 17 [40960/48700]	Loss: 0.6033	LR: 0.020000
Training Epoch: 17 [41216/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 17 [41472/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 17 [41728/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 17 [41984/48700]	Loss: 0.5490	LR: 0.020000
Training Epoch: 17 [42240/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 17 [42496/48700]	Loss: 0.5951	LR: 0.020000
Training Epoch: 17 [42752/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 17 [43008/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 17 [43264/48700]	Loss: 0.5500	LR: 0.020000
Training Epoch: 17 [43520/48700]	Loss: 0.5849	LR: 0.020000
Training Epoch: 17 [43776/48700]	Loss: 0.5427	LR: 0.020000
Training Epoch: 17 [44032/48700]	Loss: 0.6045	LR: 0.020000
Training Epoch: 17 [44288/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 17 [44544/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 17 [44800/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 17 [45056/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 17 [45312/48700]	Loss: 0.5485	LR: 0.020000
Training Epoch: 17 [45568/48700]	Loss: 0.6964	LR: 0.020000
Training Epoch: 17 [45824/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 17 [46080/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 17 [46336/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 17 [46592/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 17 [46848/48700]	Loss: 0.7206	LR: 0.020000
Training Epoch: 17 [47104/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 17 [47360/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 17 [47616/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 17 [47872/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 17 [48128/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 17 [48384/48700]	Loss: 0.5326	LR: 0.020000
Training Epoch: 17 [48640/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 17 [48700/48700]	Loss: 0.7049	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5377, Train Accuracy: 0.8241
Epoch 17 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7684, Time consumed:0.93s
Training Epoch: 18 [256/48700]	Loss: 0.4868	LR: 0.020000
Training Epoch: 18 [512/48700]	Loss: 0.3992	LR: 0.020000
Training Epoch: 18 [768/48700]	Loss: 0.6394	LR: 0.020000
Training Epoch: 18 [1024/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 18 [1280/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 18 [1536/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 18 [1792/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 18 [2048/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 18 [2304/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 18 [2560/48700]	Loss: 0.5055	LR: 0.020000
Training Epoch: 18 [2816/48700]	Loss: 0.5263	LR: 0.020000
Training Epoch: 18 [3072/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 18 [3328/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 18 [3584/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 18 [3840/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 18 [4096/48700]	Loss: 0.4856	LR: 0.020000
Training Epoch: 18 [4352/48700]	Loss: 0.4981	LR: 0.020000
Training Epoch: 18 [4608/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 18 [4864/48700]	Loss: 0.4771	LR: 0.020000
Training Epoch: 18 [5120/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 18 [5376/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 18 [5632/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 18 [5888/48700]	Loss: 0.5739	LR: 0.020000
Training Epoch: 18 [6144/48700]	Loss: 0.4372	LR: 0.020000
Training Epoch: 18 [6400/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 18 [6656/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 18 [6912/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 18 [7168/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 18 [7424/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 18 [7680/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 18 [7936/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 18 [8192/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 18 [8448/48700]	Loss: 0.5658	LR: 0.020000
Training Epoch: 18 [8704/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 18 [8960/48700]	Loss: 0.4250	LR: 0.020000
Training Epoch: 18 [9216/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 18 [9472/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 18 [9728/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 18 [9984/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 18 [10240/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 18 [10496/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 18 [10752/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 18 [11008/48700]	Loss: 0.5463	LR: 0.020000
Training Epoch: 18 [11264/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 18 [11520/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 18 [11776/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 18 [12032/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 18 [12288/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 18 [12544/48700]	Loss: 0.6315	LR: 0.020000
Training Epoch: 18 [12800/48700]	Loss: 0.5229	LR: 0.020000
Training Epoch: 18 [13056/48700]	Loss: 0.4478	LR: 0.020000
Training Epoch: 18 [13312/48700]	Loss: 0.5385	LR: 0.020000
Training Epoch: 18 [13568/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 18 [13824/48700]	Loss: 0.4850	LR: 0.020000
Training Epoch: 18 [14080/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 18 [14336/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 18 [14592/48700]	Loss: 0.5185	LR: 0.020000
Training Epoch: 18 [14848/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 18 [15104/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 18 [15360/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 18 [15616/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 18 [15872/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 18 [16128/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 18 [16384/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 18 [16640/48700]	Loss: 0.5165	LR: 0.020000
Training Epoch: 18 [16896/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 18 [17152/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 18 [17408/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 18 [17664/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 18 [17920/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 18 [18176/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 18 [18432/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 18 [18688/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 18 [18944/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 18 [19200/48700]	Loss: 0.5261	LR: 0.020000
Training Epoch: 18 [19456/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 18 [19712/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 18 [19968/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 18 [20224/48700]	Loss: 0.5834	LR: 0.020000
Training Epoch: 18 [20480/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 18 [20736/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 18 [20992/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 18 [21248/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 18 [21504/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 18 [21760/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 18 [22016/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 18 [22272/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 18 [22528/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 18 [22784/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 18 [23040/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 18 [23296/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 18 [23552/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 18 [23808/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 18 [24064/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 18 [24320/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 18 [24576/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 18 [24832/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 18 [25088/48700]	Loss: 0.4485	LR: 0.020000
Training Epoch: 18 [25344/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 18 [25600/48700]	Loss: 0.5662	LR: 0.020000
Training Epoch: 18 [25856/48700]	Loss: 0.4613	LR: 0.020000
Training Epoch: 18 [26112/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 18 [26368/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 18 [26624/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 18 [26880/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 18 [27136/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 18 [27392/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 18 [27648/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 18 [27904/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 18 [28160/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 18 [28416/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 18 [28672/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 18 [28928/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 18 [29184/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 18 [29440/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 18 [29696/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 18 [29952/48700]	Loss: 0.4397	LR: 0.020000
Training Epoch: 18 [30208/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 18 [30464/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 18 [30720/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 18 [30976/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 18 [31232/48700]	Loss: 0.5286	LR: 0.020000
Training Epoch: 18 [31488/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 18 [31744/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 18 [32000/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 18 [32256/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 18 [32512/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 18 [32768/48700]	Loss: 0.5050	LR: 0.020000
Training Epoch: 18 [33024/48700]	Loss: 0.4722	LR: 0.020000
Training Epoch: 18 [33280/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 18 [33536/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 18 [33792/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 18 [34048/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 18 [34304/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 18 [34560/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 18 [34816/48700]	Loss: 0.4949	LR: 0.020000
Training Epoch: 18 [35072/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 18 [35328/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 18 [35584/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 18 [35840/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 18 [36096/48700]	Loss: 0.4481	LR: 0.020000
Training Epoch: 18 [36352/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 18 [36608/48700]	Loss: 0.5945	LR: 0.020000
Training Epoch: 18 [36864/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 18 [37120/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 18 [37376/48700]	Loss: 0.5083	LR: 0.020000
Training Epoch: 18 [37632/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 18 [37888/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 18 [38144/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 18 [38400/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 18 [38656/48700]	Loss: 0.5969	LR: 0.020000
Training Epoch: 18 [38912/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 18 [39168/48700]	Loss: 0.5057	LR: 0.020000
Training Epoch: 18 [39424/48700]	Loss: 0.6202	LR: 0.020000
Training Epoch: 18 [39680/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 18 [39936/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 18 [40192/48700]	Loss: 0.4252	LR: 0.020000
Training Epoch: 18 [40448/48700]	Loss: 0.4685	LR: 0.020000
Training Epoch: 18 [40704/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 18 [40960/48700]	Loss: 0.3854	LR: 0.020000
Training Epoch: 18 [41216/48700]	Loss: 0.5387	LR: 0.020000
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Training Epoch: 18 [46080/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.4277	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.4832	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.6411	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5072, Train Accuracy: 0.8337
Epoch 18 training time consumed: 29.72s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0028, Accuracy: 0.7799, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.4715	LR: 0.020000
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Training Epoch: 19 [768/48700]	Loss: 0.4959	LR: 0.020000
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Training Epoch: 19 [46592/48700]	Loss: 0.4212	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.4827	LR: 0.020000
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Training Epoch: 19 [47616/48700]	Loss: 0.5509	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.4483	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.5557	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4831, Train Accuracy: 0.8415
Epoch 19 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7743, Time consumed:1.03s
Training Epoch: 20 [256/48700]	Loss: 0.4783	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.5841	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.4248	LR: 0.020000
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Training Epoch: 20 [15616/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.4693	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.4200	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.4239	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.4920	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.5015	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.5719	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.5115	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.5310	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.4095	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.4174	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.4133	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5125	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.6060	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.4314	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.6070	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.4548	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.5742	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.4605	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.4299	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.4649	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4570, Train Accuracy: 0.8505
Epoch 20 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7714, Time consumed:0.93s
Training Epoch: 21 [256/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.5012	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.4198	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.3173	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.4277	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4065	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.3806	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.4349	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.4825	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.5173	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.5791	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.3222	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.4314	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.4479	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.4288	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.4728	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.5151	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.4784	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.4393	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.4222	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.3997	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.4374	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.4622	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.4409	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.3749	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4517	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.4404	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.3106	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.4228	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.3649	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4522	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.4853	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.3713	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.3130	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.4872	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.4050	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.5066	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.4854	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.3058	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4432, Train Accuracy: 0.8514
Epoch 21 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7705, Time consumed:0.96s
Training Epoch: 22 [256/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.2910	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.4498	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.5012	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.5098	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.3889	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.3873	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.2985	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.4886	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.3387	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.3936	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.3933	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.5477	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.3919	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.3966	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.3616	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.4673	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.3548	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.5276	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.4404	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.3865	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.3873	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.4736	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.2934	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.4022	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.4339	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.3331	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.4281	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 22 [31488/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 22 [31744/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 22 [32256/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 22 [32512/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 22 [32768/48700]	Loss: 0.5055	LR: 0.020000
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Training Epoch: 22 [33280/48700]	Loss: 0.4451	LR: 0.020000
Training Epoch: 22 [33536/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 22 [34048/48700]	Loss: 0.2929	LR: 0.020000
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Training Epoch: 22 [34560/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 22 [34816/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 22 [35072/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 22 [35328/48700]	Loss: 0.5004	LR: 0.020000
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Training Epoch: 22 [35840/48700]	Loss: 0.4389	LR: 0.020000
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Training Epoch: 22 [36352/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.4177	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.3736	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.5380	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.3541	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.5184	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.5095	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.4174	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.5173	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.5095	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.4504	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.4693	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.5161	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.5021	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.4846	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.5577	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.3174	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4258, Train Accuracy: 0.8600
Epoch 22 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0032, Accuracy: 0.7624, Time consumed:0.91s
Training Epoch: 23 [256/48700]	Loss: 0.3282	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.3185	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.4423	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.4881	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.4627	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.2550	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.2977	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.2926	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.4478	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.3301	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.3302	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.4312	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.3277	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.3006	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.4807	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.4304	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.4414	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.3581	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.4006	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.4250	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.3961	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.4197	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.4559	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.2678	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.3226	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4535	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.3669	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.4757	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4860	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.4500	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4469	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.4799	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.5523	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4131, Train Accuracy: 0.8625
Epoch 23 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7683, Time consumed:0.99s
Training Epoch: 24 [256/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3273	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.3182	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.4382	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.3359	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.3459	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.3952	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.4235	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.3094	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.4222	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.3106	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.4466	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4186	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3390	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.3891	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.3222	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.2896	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3615	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3169	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.3707	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.4398	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.4047	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.3037	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.3356	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.2825	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.3687	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.3203	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.4385	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3424	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.4316	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.3759	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4661	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.3835	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.3754	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.4702	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5223	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.3680	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.4097	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.4360	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.4166	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.3125	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.4818	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3496	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4655	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.4413	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.7129	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3973, Train Accuracy: 0.8685
Epoch 24 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7641, Time consumed:0.95s
Training Epoch: 25 [256/48700]	Loss: 0.3218	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3163	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.4731	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.4704	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.2741	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.2767	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.3363	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.3649	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3142	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.3337	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.3832	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3193	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.3230	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.3414	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.3971	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.3827	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.3719	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.3761	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.4018	LR: 0.020000
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Training Epoch: 25 [27904/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.3588	LR: 0.020000
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Training Epoch: 25 [29440/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 25 [29952/48700]	Loss: 0.3832	LR: 0.020000
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Training Epoch: 25 [30464/48700]	Loss: 0.4019	LR: 0.020000
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Training Epoch: 25 [30976/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.2684	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.3541	LR: 0.020000
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Training Epoch: 25 [32512/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.3585	LR: 0.020000
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Training Epoch: 25 [33792/48700]	Loss: 0.4049	LR: 0.020000
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Training Epoch: 25 [35072/48700]	Loss: 0.3443	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.3785	LR: 0.020000
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Training Epoch: 25 [36352/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.4248	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.4431	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.3716	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.4910	LR: 0.020000
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Training Epoch: 25 [39168/48700]	Loss: 0.3548	LR: 0.020000
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Training Epoch: 25 [40192/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.3624	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.4115	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.4003	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.4470	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.4576	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4414	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.2743	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.3419	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.3774	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.4017	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.4553	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.4447	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3854, Train Accuracy: 0.8718
Epoch 25 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7559, Time consumed:1.03s
Training Epoch: 26 [256/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3087	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.2483	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.3321	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.2775	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3601	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.2872	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.2356	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3009	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.3138	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3375	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.4047	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3084	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.3242	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.2819	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.2611	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3150	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3776	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.2952	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.3865	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.3165	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3401	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3027	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.4617	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.3017	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.3013	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.4095	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.3104	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.3271	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.3140	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.2950	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4003	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.3422	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.4250	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.3238	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.3992	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.3257	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.3337	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.3917	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.3746	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.4321	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.3110	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.4328	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.2563	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.3273	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.3393	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3854	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.2888	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.3468	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.4335	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.3438	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.3067	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3067	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.3970	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3368	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.5380	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.4838	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3772, Train Accuracy: 0.8744
Epoch 26 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7665, Time consumed:0.93s
Training Epoch: 27 [256/48700]	Loss: 0.3041	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3186	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.2524	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.2972	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.2824	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.2853	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.3273	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.2930	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.2856	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.3226	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3044	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.2822	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.2601	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.2956	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.2665	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3275	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.4017	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.2728	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.2805	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.2740	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.3230	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.3159	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.2814	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3557	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.3467	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.3084	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.3731	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.3082	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3103	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3834	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3062	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3707	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.2574	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3765	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.2527	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.2713	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3134	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.3462	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3492	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.3573	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.3653	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.3590	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.3877	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.4240	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.3889	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.2777	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.3203	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3098	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3108	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4255	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.4265	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.4062	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.3219	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.5676	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3608, Train Accuracy: 0.8794
Epoch 27 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7695, Time consumed:0.97s
Training Epoch: 28 [256/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.2879	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.2845	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3069	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.3322	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3806	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3234	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.3203	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.3366	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3915	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.2980	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3239	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.3187	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.3480	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.3453	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.3589	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.2931	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3521	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.2952	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.2977	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.2951	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.3215	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3189	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.2879	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.2753	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.2904	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.2222	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3054	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.3011	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.3021	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.2763	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.3950	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.2765	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.2842	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.3369	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.2650	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.2989	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3411	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.2885	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.2785	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.2562	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.3236	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.2432	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3538	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3225	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.2732	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.2626	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.2852	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.3736	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.2847	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3853	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.2477	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3143	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.3202	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.3219	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.3013	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.2772	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3096	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.4127	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.3031	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.2824	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.4431	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.4273	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.3582	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.4568	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.3392	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.3426	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.4493	LR: 0.020000
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Training Epoch: 28 [34816/48700]	Loss: 0.3273	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.2958	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3498	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.3234	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.2780	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.3432	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.3834	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.2795	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.2612	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.3046	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3176	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4028	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.2984	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.4627	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.4010	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.4479	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.4504	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.4042	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.2827	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.4069	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.3034	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.3076	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.3364	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3505, Train Accuracy: 0.8837
Epoch 28 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7676, Time consumed:0.91s
Training Epoch: 29 [256/48700]	Loss: 0.2771	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.2325	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.2723	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.2629	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.3591	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.2490	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.2966	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.2140	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.2867	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.3037	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.2958	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.2496	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.2570	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.2605	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.2594	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.2222	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.2826	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.2910	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3120	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.2839	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.3343	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3202	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.2759	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3375	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.3047	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.2877	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3186	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.2441	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.2718	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.2640	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.3353	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.3196	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.2985	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.2535	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3201	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.3068	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.2585	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3389	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.2404	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.3028	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3076	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.2953	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3321	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.2852	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.3219	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.4032	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.3505	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.3366	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.3417	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.2900	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.2660	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3957	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.4339	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3139	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.3453	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3393	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.3717	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.3135	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.4414	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.2777	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.2844	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.3119	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3897	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3171	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3282	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.3679	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3054	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.2892	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.2381	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.3030	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.2798	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.3049	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3153	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.4749	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.2677	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.3099	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.3241	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4094	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3270	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.3749	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.3112	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.2899	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.3191	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.3356	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3387	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.3176	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.2504	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.3481	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.2868	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.2591	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.3597	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.2815	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.3864	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.3692	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3373, Train Accuracy: 0.8867
Epoch 29 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7640, Time consumed:0.99s
Training Epoch: 30 [256/48700]	Loss: 0.2403	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.2442	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.3589	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.2789	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.2966	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.2507	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.3746	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.2723	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.3140	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.3030	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.2607	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.3373	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.3102	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.3532	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.2536	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2474	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.3093	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.3042	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2228	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2175	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.2927	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2772	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.3102	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.2124	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2861	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2473	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2285	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2431	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2539	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.3160	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.3382	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2669	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2103	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.1886	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.2100	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.2576	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.1693	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2104	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2442	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.1926	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2129	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.2435	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.2536	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2177	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.1914	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.1984	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.2133	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2509	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2450	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.2979	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.2289	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.2508	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.1771	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.2494	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2216	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.2601	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2377	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2042	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.1990	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.1880	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.2271	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.2640	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2202	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2704	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.2469	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2038	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.1983	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.2417	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2214	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.2336	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.1931	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.2211	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2232	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.2752	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.1943	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.1962	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.2157	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.2229	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.1826	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.1731	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2198	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.1880	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2763	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2066	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.1918	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2866	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2014	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2423	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3099	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.2927	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.1978	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.1994	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.2144	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.1923	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.2187	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.2806	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2168	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2083	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2033	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.2028	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.2296	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.2462	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2368	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.1672	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.1699	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.2110	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.2116	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.1935	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.2461	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.1940	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.1747	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.1991	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.1965	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.1910	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.1856	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.2045	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.1769	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.2208	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.2403	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.2307	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.2831	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.2426	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.2214	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.1929	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.2252	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.1426	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.2252	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.2156	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.1560	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2277	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2512	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2763	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.2790	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2276	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.1841	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.1938	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.2008	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.2500	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.2013	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.2409	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.1743	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.1881	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.2916	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.1698	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.1834	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.2443	LR: 0.004000
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Training Epoch: 30 [45312/48700]	Loss: 0.2235	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.2406	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2043	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.2037	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.2027	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.2026	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.2638	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.2093	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.2779	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.2145	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.1916	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.2609	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.1535	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.3647	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2261, Train Accuracy: 0.9279
Epoch 30 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8049, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.2045	LR: 0.004000
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Training Epoch: 31 [1792/48700]	Loss: 0.2416	LR: 0.004000
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Training Epoch: 31 [46336/48700]	Loss: 0.1825	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.1542	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.1400	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.1464	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.1307	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.2635	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.1703	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1783, Train Accuracy: 0.9455
Epoch 31 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8060, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1961	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1210	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1641	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1262	LR: 0.004000
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Training Epoch: 32 [48128/48700]	Loss: 0.1186	LR: 0.004000
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Training Epoch: 32 [48640/48700]	Loss: 0.1413	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2544	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1620, Train Accuracy: 0.9508
Epoch 32 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8079, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1931	LR: 0.004000
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Training Epoch: 33 [39168/48700]	Loss: 0.1372	LR: 0.004000
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Training Epoch: 33 [43776/48700]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1074	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.1091	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1662	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1206	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1105	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1712	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1126	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.2072	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1915	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.0965	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1772	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.0953	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1498, Train Accuracy: 0.9546
Epoch 33 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8078, Time consumed:0.96s
Training Epoch: 34 [256/48700]	Loss: 0.1746	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.0988	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.1116	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.1786	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1346	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1409	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1047	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1062	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1270	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1167	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1319	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.1272	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.1534	LR: 0.004000
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Training Epoch: 34 [4608/48700]	Loss: 0.1567	LR: 0.004000
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Training Epoch: 34 [5120/48700]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.1448	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1033	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1574	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.1175	LR: 0.004000
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Training Epoch: 34 [8448/48700]	Loss: 0.1447	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.1103	LR: 0.004000
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Training Epoch: 34 [12288/48700]	Loss: 0.1457	LR: 0.004000
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Training Epoch: 34 [45568/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.1028	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1786	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1669	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1314	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.0779	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1086	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.1946	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1366, Train Accuracy: 0.9588
Epoch 34 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8085, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-34-best.pth
Training Epoch: 35 [256/48700]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1064	LR: 0.000800
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Training Epoch: 35 [5632/48700]	Loss: 0.1525	LR: 0.000800
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Training Epoch: 35 [6144/48700]	Loss: 0.1101	LR: 0.000800
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Training Epoch: 35 [13824/48700]	Loss: 0.1924	LR: 0.000800
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Training Epoch: 35 [32512/48700]	Loss: 0.1061	LR: 0.000800
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Training Epoch: 35 [45312/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.1381	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.1450	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1500	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1482	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.1191	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1216, Train Accuracy: 0.9651
Epoch 35 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8107, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1146	LR: 0.000800
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Training Epoch: 36 [38144/48700]	Loss: 0.0678	LR: 0.000800
Training Epoch: 36 [38400/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 36 [38656/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 36 [38912/48700]	Loss: 0.1117	LR: 0.000800
Training Epoch: 36 [39168/48700]	Loss: 0.1492	LR: 0.000800
Training Epoch: 36 [39424/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 36 [39680/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.0625	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.1318	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.1344	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.0759	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.0839	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.1476	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1290	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.0703	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.1375	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1351	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.0691	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1101, Train Accuracy: 0.9686
Epoch 36 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8094, Time consumed:0.92s
Training Epoch: 37 [256/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.1446	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.0941	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.0753	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.1454	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.1367	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.0871	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.0808	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.0805	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.1412	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.1391	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.1370	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.0736	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.0839	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 37 [17920/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [18176/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.0744	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.0537	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 37 [20992/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 37 [21248/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 37 [21504/48700]	Loss: 0.0788	LR: 0.000800
Training Epoch: 37 [21760/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 37 [22016/48700]	Loss: 0.0727	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.1466	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.0763	LR: 0.000800
Training Epoch: 37 [22784/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [23040/48700]	Loss: 0.1523	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.1693	LR: 0.000800
Training Epoch: 37 [23552/48700]	Loss: 0.1316	LR: 0.000800
Training Epoch: 37 [23808/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [24320/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 37 [24576/48700]	Loss: 0.1612	LR: 0.000800
Training Epoch: 37 [24832/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [25344/48700]	Loss: 0.1223	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.1558	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.0816	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.0714	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.1620	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 37 [29184/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [29440/48700]	Loss: 0.1316	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 37 [29952/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [30208/48700]	Loss: 0.1604	LR: 0.000800
Training Epoch: 37 [30464/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.0804	LR: 0.000800
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Training Epoch: 37 [31232/48700]	Loss: 0.1188	LR: 0.000800
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Training Epoch: 37 [32768/48700]	Loss: 0.1014	LR: 0.000800
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Training Epoch: 37 [33280/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 37 [33536/48700]	Loss: 0.1043	LR: 0.000800
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Training Epoch: 37 [35328/48700]	Loss: 0.1000	LR: 0.000800
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Training Epoch: 37 [35840/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 37 [36096/48700]	Loss: 0.1284	LR: 0.000800
Training Epoch: 37 [36352/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [36608/48700]	Loss: 0.1477	LR: 0.000800
Training Epoch: 37 [36864/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.1511	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.0744	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.0784	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.0945	LR: 0.000800
Training Epoch: 37 [40960/48700]	Loss: 0.1649	LR: 0.000800
Training Epoch: 37 [41216/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 37 [41472/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 37 [41984/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [42240/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.0729	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.0716	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1491	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.1636	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1517	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.2085	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.0647	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1080, Train Accuracy: 0.9691
Epoch 37 training time consumed: 29.45s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8112, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-37-best.pth
Training Epoch: 38 [256/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.1385	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.1338	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.0785	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.1361	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.0808	LR: 0.000800
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Training Epoch: 38 [5120/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.1416	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.1350	LR: 0.000800
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Training Epoch: 38 [8448/48700]	Loss: 0.0957	LR: 0.000800
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Training Epoch: 38 [10240/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 38 [10496/48700]	Loss: 0.0958	LR: 0.000800
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Training Epoch: 38 [11008/48700]	Loss: 0.0946	LR: 0.000800
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Training Epoch: 38 [11776/48700]	Loss: 0.1002	LR: 0.000800
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Training Epoch: 38 [12800/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.0907	LR: 0.000800
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Training Epoch: 38 [33536/48700]	Loss: 0.1199	LR: 0.000800
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Training Epoch: 38 [35840/48700]	Loss: 0.0855	LR: 0.000800
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Training Epoch: 38 [43776/48700]	Loss: 0.0882	LR: 0.000800
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Training Epoch: 38 [44288/48700]	Loss: 0.0943	LR: 0.000800
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Training Epoch: 38 [45568/48700]	Loss: 0.0982	LR: 0.000800
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Training Epoch: 38 [46080/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.0753	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.1839	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.1431	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.0829	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2178	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1090, Train Accuracy: 0.9687
Epoch 38 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8118, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-38-best.pth
Training Epoch: 39 [256/48700]	Loss: 0.1356	LR: 0.000800
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Training Epoch: 39 [1536/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1090	LR: 0.000800
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Training Epoch: 39 [11264/48700]	Loss: 0.0855	LR: 0.000800
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Training Epoch: 39 [13312/48700]	Loss: 0.1568	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.1044	LR: 0.000800
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Training Epoch: 39 [36096/48700]	Loss: 0.0854	LR: 0.000800
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Training Epoch: 39 [37120/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.0802	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.0548	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.0829	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.1498	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.0807	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.0668	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1373	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.0730	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.0727	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.0949	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1044, Train Accuracy: 0.9697
Epoch 39 training time consumed: 29.52s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8123, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_10h_03m_11s/ResNet18-Cifar20-seed9-ret75-39-best.pth
Training Epoch: 40 [256/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.1643	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0688	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.0747	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.0840	LR: 0.000800
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Training Epoch: 40 [5120/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.1086	LR: 0.000800
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Training Epoch: 40 [8960/48700]	Loss: 0.0586	LR: 0.000800
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Training Epoch: 40 [11776/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1379	LR: 0.000800
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Training Epoch: 40 [15616/48700]	Loss: 0.0542	LR: 0.000800
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Training Epoch: 40 [22016/48700]	Loss: 0.0993	LR: 0.000800
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Training Epoch: 40 [23552/48700]	Loss: 0.1150	LR: 0.000800
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Training Epoch: 40 [24064/48700]	Loss: 0.1342	LR: 0.000800
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Training Epoch: 40 [24832/48700]	Loss: 0.1589	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.1230	LR: 0.000800
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Training Epoch: 40 [25600/48700]	Loss: 0.0669	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.1021	LR: 0.000800
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Training Epoch: 40 [27904/48700]	Loss: 0.1420	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.1291	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.1049	LR: 0.000800
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Training Epoch: 40 [30208/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.1467	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.1459	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.0755	LR: 0.000800
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Training Epoch: 40 [32512/48700]	Loss: 0.1008	LR: 0.000800
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Training Epoch: 40 [33024/48700]	Loss: 0.1485	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.0896	LR: 0.000800
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Training Epoch: 40 [35072/48700]	Loss: 0.1748	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.1350	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1749	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.0690	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.0684	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.0723	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.0781	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.0576	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.1560	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.0693	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.1552	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.0647	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.1341	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.0597	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.0675	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.1175	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.1229	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1059, Train Accuracy: 0.9697
Epoch 40 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8097, 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: 81.26953125
Retain Accuracy: 97.42459869384766
Zero-Retain Forget (ZRF): 0.9007364511489868
Membership Inference Attack (MIA): 0.6169230769230769
Forget vs Retain Membership Inference Attack (MIA): 0.6288461538461538
Forget vs Test Membership Inference Attack (MIA): 0.5134615384615384
Test vs Retain Membership Inference Attack (MIA): 0.566
Train vs Test Membership Inference Attack (MIA): 0.59625
Forget Set Accuracy (Df): 81.09375
Method Execution Time: 2186.27 seconds
