
📌 Retain class distribution for seed 1:
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 1:
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: 3.0854	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.1353	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0252	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0907	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0771	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0366	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9602	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9539	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9860	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9110	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.8598	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9385	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.8735	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8433	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8149	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8015	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.7662	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.7506	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.7438	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.8351	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.6850	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.7707	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7513	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.8372	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7154	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6803	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.6506	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.6148	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7710	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6525	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.6621	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6028	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.5121	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6822	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6326	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.5871	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6657	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.5648	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.5712	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.5644	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6618	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.4726	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5678	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.6239	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6445	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5776	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.5296	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5883	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.6405	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5877	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5616	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.4962	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.6938	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.5705	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5676	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5256	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.3930	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5164	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.6617	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.6049	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.6327	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.5845	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.6298	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.6240	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4204	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.4856	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5460	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4409	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.4550	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.6279	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.5413	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4937	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.6140	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.6193	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.6050	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.5930	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.6141	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5650	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.6512	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.5829	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.6038	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.5610	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.4654	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4983	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.4614	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.4732	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.4469	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4947	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.5426	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4914	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5086	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.5536	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5134	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.6032	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.6067	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4789	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.6174	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.4300	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4138	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.4815	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.5053	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4787	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.4946	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.4285	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4421	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.6498	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4316	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.4042	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4653	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.4807	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4254	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.5351	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.3926	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4263	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.3579	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.5810	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4474	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.5382	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3893	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.3562	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.4923	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.4546	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4523	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.4446	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.3633	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.3542	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4500	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4928	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.4815	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.4061	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4486	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4712	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.3936	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4678	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3509	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.3874	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4418	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.4951	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.2818	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.4698	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.2512	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3463	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4825	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3862	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.2957	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.2583	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3379	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.3195	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.3755	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3693	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.4992	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.4470	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.4147	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.1907	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.4551	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3956	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.2637	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.3610	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4357	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.4788	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3759	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.4048	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.4324	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.4503	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.3358	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3587	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.3053	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.3938	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.3117	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3223	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.3136	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.4449	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3889	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.3373	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.3052	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.2743	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3073	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4772	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.3323	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3032	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.3720	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.3317	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3874	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3098	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.2800	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.2261	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.3680	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.4292	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.1814	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.2277	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.5704	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5274, Train Accuracy: 0.2202
Epoch 1 training time consumed: 31.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0125, Accuracy: 0.2185, Time consumed:1.36s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2998	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.4312	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.4951	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.4084	LR: 0.100000
Training Epoch: 2 [1280/48700]	Loss: 2.4043	LR: 0.100000
Training Epoch: 2 [1536/48700]	Loss: 2.3491	LR: 0.100000
Training Epoch: 2 [1792/48700]	Loss: 2.4189	LR: 0.100000
Training Epoch: 2 [2048/48700]	Loss: 2.3985	LR: 0.100000
Training Epoch: 2 [2304/48700]	Loss: 2.2670	LR: 0.100000
Training Epoch: 2 [2560/48700]	Loss: 2.2883	LR: 0.100000
Training Epoch: 2 [2816/48700]	Loss: 2.3483	LR: 0.100000
Training Epoch: 2 [3072/48700]	Loss: 2.3715	LR: 0.100000
Training Epoch: 2 [3328/48700]	Loss: 2.2135	LR: 0.100000
Training Epoch: 2 [3584/48700]	Loss: 2.2905	LR: 0.100000
Training Epoch: 2 [3840/48700]	Loss: 2.3344	LR: 0.100000
Training Epoch: 2 [4096/48700]	Loss: 2.3750	LR: 0.100000
Training Epoch: 2 [4352/48700]	Loss: 2.3385	LR: 0.100000
Training Epoch: 2 [4608/48700]	Loss: 2.3763	LR: 0.100000
Training Epoch: 2 [4864/48700]	Loss: 2.2405	LR: 0.100000
Training Epoch: 2 [5120/48700]	Loss: 2.4390	LR: 0.100000
Training Epoch: 2 [5376/48700]	Loss: 2.3611	LR: 0.100000
Training Epoch: 2 [5632/48700]	Loss: 2.2624	LR: 0.100000
Training Epoch: 2 [5888/48700]	Loss: 2.2278	LR: 0.100000
Training Epoch: 2 [6144/48700]	Loss: 2.3626	LR: 0.100000
Training Epoch: 2 [6400/48700]	Loss: 2.4004	LR: 0.100000
Training Epoch: 2 [6656/48700]	Loss: 2.2100	LR: 0.100000
Training Epoch: 2 [6912/48700]	Loss: 2.4433	LR: 0.100000
Training Epoch: 2 [7168/48700]	Loss: 2.2865	LR: 0.100000
Training Epoch: 2 [7424/48700]	Loss: 2.2627	LR: 0.100000
Training Epoch: 2 [7680/48700]	Loss: 2.3399	LR: 0.100000
Training Epoch: 2 [7936/48700]	Loss: 2.2474	LR: 0.100000
Training Epoch: 2 [8192/48700]	Loss: 2.1497	LR: 0.100000
Training Epoch: 2 [8448/48700]	Loss: 2.2453	LR: 0.100000
Training Epoch: 2 [8704/48700]	Loss: 2.3213	LR: 0.100000
Training Epoch: 2 [8960/48700]	Loss: 2.3160	LR: 0.100000
Training Epoch: 2 [9216/48700]	Loss: 2.1503	LR: 0.100000
Training Epoch: 2 [9472/48700]	Loss: 2.2317	LR: 0.100000
Training Epoch: 2 [9728/48700]	Loss: 2.2390	LR: 0.100000
Training Epoch: 2 [9984/48700]	Loss: 2.3073	LR: 0.100000
Training Epoch: 2 [10240/48700]	Loss: 2.1837	LR: 0.100000
Training Epoch: 2 [10496/48700]	Loss: 2.3007	LR: 0.100000
Training Epoch: 2 [10752/48700]	Loss: 2.2220	LR: 0.100000
Training Epoch: 2 [11008/48700]	Loss: 2.1920	LR: 0.100000
Training Epoch: 2 [11264/48700]	Loss: 2.2463	LR: 0.100000
Training Epoch: 2 [11520/48700]	Loss: 2.3537	LR: 0.100000
Training Epoch: 2 [11776/48700]	Loss: 2.1750	LR: 0.100000
Training Epoch: 2 [12032/48700]	Loss: 2.2704	LR: 0.100000
Training Epoch: 2 [12288/48700]	Loss: 2.2905	LR: 0.100000
Training Epoch: 2 [12544/48700]	Loss: 2.2443	LR: 0.100000
Training Epoch: 2 [12800/48700]	Loss: 2.1468	LR: 0.100000
Training Epoch: 2 [13056/48700]	Loss: 2.2882	LR: 0.100000
Training Epoch: 2 [13312/48700]	Loss: 2.3162	LR: 0.100000
Training Epoch: 2 [13568/48700]	Loss: 2.0935	LR: 0.100000
Training Epoch: 2 [13824/48700]	Loss: 2.2965	LR: 0.100000
Training Epoch: 2 [14080/48700]	Loss: 2.1429	LR: 0.100000
Training Epoch: 2 [14336/48700]	Loss: 2.2726	LR: 0.100000
Training Epoch: 2 [14592/48700]	Loss: 2.2349	LR: 0.100000
Training Epoch: 2 [14848/48700]	Loss: 2.1518	LR: 0.100000
Training Epoch: 2 [15104/48700]	Loss: 2.0927	LR: 0.100000
Training Epoch: 2 [15360/48700]	Loss: 2.1111	LR: 0.100000
Training Epoch: 2 [15616/48700]	Loss: 2.3382	LR: 0.100000
Training Epoch: 2 [15872/48700]	Loss: 2.0609	LR: 0.100000
Training Epoch: 2 [16128/48700]	Loss: 2.2913	LR: 0.100000
Training Epoch: 2 [16384/48700]	Loss: 2.2302	LR: 0.100000
Training Epoch: 2 [16640/48700]	Loss: 2.2139	LR: 0.100000
Training Epoch: 2 [16896/48700]	Loss: 2.2909	LR: 0.100000
Training Epoch: 2 [17152/48700]	Loss: 2.1941	LR: 0.100000
Training Epoch: 2 [17408/48700]	Loss: 2.2020	LR: 0.100000
Training Epoch: 2 [17664/48700]	Loss: 2.2650	LR: 0.100000
Training Epoch: 2 [17920/48700]	Loss: 2.2259	LR: 0.100000
Training Epoch: 2 [18176/48700]	Loss: 2.2570	LR: 0.100000
Training Epoch: 2 [18432/48700]	Loss: 2.0815	LR: 0.100000
Training Epoch: 2 [18688/48700]	Loss: 2.1233	LR: 0.100000
Training Epoch: 2 [18944/48700]	Loss: 2.2594	LR: 0.100000
Training Epoch: 2 [19200/48700]	Loss: 2.2774	LR: 0.100000
Training Epoch: 2 [19456/48700]	Loss: 2.0904	LR: 0.100000
Training Epoch: 2 [19712/48700]	Loss: 2.1716	LR: 0.100000
Training Epoch: 2 [19968/48700]	Loss: 2.0475	LR: 0.100000
Training Epoch: 2 [20224/48700]	Loss: 2.1842	LR: 0.100000
Training Epoch: 2 [20480/48700]	Loss: 2.1889	LR: 0.100000
Training Epoch: 2 [20736/48700]	Loss: 2.0984	LR: 0.100000
Training Epoch: 2 [20992/48700]	Loss: 2.0888	LR: 0.100000
Training Epoch: 2 [21248/48700]	Loss: 2.2469	LR: 0.100000
Training Epoch: 2 [21504/48700]	Loss: 2.1965	LR: 0.100000
Training Epoch: 2 [21760/48700]	Loss: 2.0584	LR: 0.100000
Training Epoch: 2 [22016/48700]	Loss: 1.9843	LR: 0.100000
Training Epoch: 2 [22272/48700]	Loss: 2.0842	LR: 0.100000
Training Epoch: 2 [22528/48700]	Loss: 2.1532	LR: 0.100000
Training Epoch: 2 [22784/48700]	Loss: 2.1196	LR: 0.100000
Training Epoch: 2 [23040/48700]	Loss: 2.1914	LR: 0.100000
Training Epoch: 2 [23296/48700]	Loss: 2.0709	LR: 0.100000
Training Epoch: 2 [23552/48700]	Loss: 2.1988	LR: 0.100000
Training Epoch: 2 [23808/48700]	Loss: 2.0246	LR: 0.100000
Training Epoch: 2 [24064/48700]	Loss: 2.0962	LR: 0.100000
Training Epoch: 2 [24320/48700]	Loss: 2.1210	LR: 0.100000
Training Epoch: 2 [24576/48700]	Loss: 2.2553	LR: 0.100000
Training Epoch: 2 [24832/48700]	Loss: 2.1408	LR: 0.100000
Training Epoch: 2 [25088/48700]	Loss: 2.2702	LR: 0.100000
Training Epoch: 2 [25344/48700]	Loss: 2.1324	LR: 0.100000
Training Epoch: 2 [25600/48700]	Loss: 2.1563	LR: 0.100000
Training Epoch: 2 [25856/48700]	Loss: 2.2508	LR: 0.100000
Training Epoch: 2 [26112/48700]	Loss: 2.1193	LR: 0.100000
Training Epoch: 2 [26368/48700]	Loss: 2.1805	LR: 0.100000
Training Epoch: 2 [26624/48700]	Loss: 2.0929	LR: 0.100000
Training Epoch: 2 [26880/48700]	Loss: 2.0191	LR: 0.100000
Training Epoch: 2 [27136/48700]	Loss: 2.0713	LR: 0.100000
Training Epoch: 2 [27392/48700]	Loss: 1.9732	LR: 0.100000
Training Epoch: 2 [27648/48700]	Loss: 1.9813	LR: 0.100000
Training Epoch: 2 [27904/48700]	Loss: 2.2095	LR: 0.100000
Training Epoch: 2 [28160/48700]	Loss: 1.9977	LR: 0.100000
Training Epoch: 2 [28416/48700]	Loss: 2.0628	LR: 0.100000
Training Epoch: 2 [28672/48700]	Loss: 2.0389	LR: 0.100000
Training Epoch: 2 [28928/48700]	Loss: 1.9894	LR: 0.100000
Training Epoch: 2 [29184/48700]	Loss: 2.0729	LR: 0.100000
Training Epoch: 2 [29440/48700]	Loss: 2.1010	LR: 0.100000
Training Epoch: 2 [29696/48700]	Loss: 2.1571	LR: 0.100000
Training Epoch: 2 [29952/48700]	Loss: 1.9588	LR: 0.100000
Training Epoch: 2 [30208/48700]	Loss: 1.9667	LR: 0.100000
Training Epoch: 2 [30464/48700]	Loss: 2.1416	LR: 0.100000
Training Epoch: 2 [30720/48700]	Loss: 2.1571	LR: 0.100000
Training Epoch: 2 [30976/48700]	Loss: 2.1415	LR: 0.100000
Training Epoch: 2 [31232/48700]	Loss: 2.3137	LR: 0.100000
Training Epoch: 2 [31488/48700]	Loss: 2.0827	LR: 0.100000
Training Epoch: 2 [31744/48700]	Loss: 2.1308	LR: 0.100000
Training Epoch: 2 [32000/48700]	Loss: 2.2474	LR: 0.100000
Training Epoch: 2 [32256/48700]	Loss: 2.1461	LR: 0.100000
Training Epoch: 2 [32512/48700]	Loss: 2.1445	LR: 0.100000
Training Epoch: 2 [32768/48700]	Loss: 2.0200	LR: 0.100000
Training Epoch: 2 [33024/48700]	Loss: 2.2469	LR: 0.100000
Training Epoch: 2 [33280/48700]	Loss: 2.0067	LR: 0.100000
Training Epoch: 2 [33536/48700]	Loss: 2.0119	LR: 0.100000
Training Epoch: 2 [33792/48700]	Loss: 2.1049	LR: 0.100000
Training Epoch: 2 [34048/48700]	Loss: 2.1833	LR: 0.100000
Training Epoch: 2 [34304/48700]	Loss: 2.1021	LR: 0.100000
Training Epoch: 2 [34560/48700]	Loss: 1.9289	LR: 0.100000
Training Epoch: 2 [34816/48700]	Loss: 1.9589	LR: 0.100000
Training Epoch: 2 [35072/48700]	Loss: 1.9140	LR: 0.100000
Training Epoch: 2 [35328/48700]	Loss: 2.1716	LR: 0.100000
Training Epoch: 2 [35584/48700]	Loss: 2.0858	LR: 0.100000
Training Epoch: 2 [35840/48700]	Loss: 2.1573	LR: 0.100000
Training Epoch: 2 [36096/48700]	Loss: 2.2413	LR: 0.100000
Training Epoch: 2 [36352/48700]	Loss: 2.1886	LR: 0.100000
Training Epoch: 2 [36608/48700]	Loss: 2.1022	LR: 0.100000
Training Epoch: 2 [36864/48700]	Loss: 2.1131	LR: 0.100000
Training Epoch: 2 [37120/48700]	Loss: 2.1523	LR: 0.100000
Training Epoch: 2 [37376/48700]	Loss: 1.9941	LR: 0.100000
Training Epoch: 2 [37632/48700]	Loss: 2.0405	LR: 0.100000
Training Epoch: 2 [37888/48700]	Loss: 2.0378	LR: 0.100000
Training Epoch: 2 [38144/48700]	Loss: 2.0835	LR: 0.100000
Training Epoch: 2 [38400/48700]	Loss: 2.1330	LR: 0.100000
Training Epoch: 2 [38656/48700]	Loss: 2.1613	LR: 0.100000
Training Epoch: 2 [38912/48700]	Loss: 1.9229	LR: 0.100000
Training Epoch: 2 [39168/48700]	Loss: 2.0294	LR: 0.100000
Training Epoch: 2 [39424/48700]	Loss: 1.9915	LR: 0.100000
Training Epoch: 2 [39680/48700]	Loss: 2.1089	LR: 0.100000
Training Epoch: 2 [39936/48700]	Loss: 2.0115	LR: 0.100000
Training Epoch: 2 [40192/48700]	Loss: 2.0557	LR: 0.100000
Training Epoch: 2 [40448/48700]	Loss: 2.0999	LR: 0.100000
Training Epoch: 2 [40704/48700]	Loss: 1.9738	LR: 0.100000
Training Epoch: 2 [40960/48700]	Loss: 2.0347	LR: 0.100000
Training Epoch: 2 [41216/48700]	Loss: 1.9671	LR: 0.100000
Training Epoch: 2 [41472/48700]	Loss: 2.1016	LR: 0.100000
Training Epoch: 2 [41728/48700]	Loss: 2.0811	LR: 0.100000
Training Epoch: 2 [41984/48700]	Loss: 2.1868	LR: 0.100000
Training Epoch: 2 [42240/48700]	Loss: 2.0881	LR: 0.100000
Training Epoch: 2 [42496/48700]	Loss: 2.1112	LR: 0.100000
Training Epoch: 2 [42752/48700]	Loss: 2.0160	LR: 0.100000
Training Epoch: 2 [43008/48700]	Loss: 2.0543	LR: 0.100000
Training Epoch: 2 [43264/48700]	Loss: 1.9900	LR: 0.100000
Training Epoch: 2 [43520/48700]	Loss: 2.0475	LR: 0.100000
Training Epoch: 2 [43776/48700]	Loss: 1.9753	LR: 0.100000
Training Epoch: 2 [44032/48700]	Loss: 2.0374	LR: 0.100000
Training Epoch: 2 [44288/48700]	Loss: 2.0989	LR: 0.100000
Training Epoch: 2 [44544/48700]	Loss: 2.1411	LR: 0.100000
Training Epoch: 2 [44800/48700]	Loss: 1.9822	LR: 0.100000
Training Epoch: 2 [45056/48700]	Loss: 2.1187	LR: 0.100000
Training Epoch: 2 [45312/48700]	Loss: 1.9754	LR: 0.100000
Training Epoch: 2 [45568/48700]	Loss: 2.0896	LR: 0.100000
Training Epoch: 2 [45824/48700]	Loss: 2.0412	LR: 0.100000
Training Epoch: 2 [46080/48700]	Loss: 2.0652	LR: 0.100000
Training Epoch: 2 [46336/48700]	Loss: 1.9278	LR: 0.100000
Training Epoch: 2 [46592/48700]	Loss: 2.0320	LR: 0.100000
Training Epoch: 2 [46848/48700]	Loss: 2.0459	LR: 0.100000
Training Epoch: 2 [47104/48700]	Loss: 1.9002	LR: 0.100000
Training Epoch: 2 [47360/48700]	Loss: 1.9036	LR: 0.100000
Training Epoch: 2 [47616/48700]	Loss: 1.9474	LR: 0.100000
Training Epoch: 2 [47872/48700]	Loss: 1.9113	LR: 0.100000
Training Epoch: 2 [48128/48700]	Loss: 1.9852	LR: 0.100000
Training Epoch: 2 [48384/48700]	Loss: 1.8744	LR: 0.100000
Training Epoch: 2 [48640/48700]	Loss: 1.9321	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.2397	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1554, Train Accuracy: 0.3289
Epoch 2 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0085, Accuracy: 0.3588, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9313	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9303	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9749	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 2.0316	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 2.2329	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 2.0184	LR: 0.100000
Training Epoch: 3 [1792/48700]	Loss: 2.1406	LR: 0.100000
Training Epoch: 3 [2048/48700]	Loss: 2.0925	LR: 0.100000
Training Epoch: 3 [2304/48700]	Loss: 2.0551	LR: 0.100000
Training Epoch: 3 [2560/48700]	Loss: 2.0389	LR: 0.100000
Training Epoch: 3 [2816/48700]	Loss: 1.9931	LR: 0.100000
Training Epoch: 3 [3072/48700]	Loss: 2.0453	LR: 0.100000
Training Epoch: 3 [3328/48700]	Loss: 1.9352	LR: 0.100000
Training Epoch: 3 [3584/48700]	Loss: 2.0009	LR: 0.100000
Training Epoch: 3 [3840/48700]	Loss: 1.9582	LR: 0.100000
Training Epoch: 3 [4096/48700]	Loss: 1.9504	LR: 0.100000
Training Epoch: 3 [4352/48700]	Loss: 2.1499	LR: 0.100000
Training Epoch: 3 [4608/48700]	Loss: 1.9373	LR: 0.100000
Training Epoch: 3 [4864/48700]	Loss: 1.9472	LR: 0.100000
Training Epoch: 3 [5120/48700]	Loss: 2.0098	LR: 0.100000
Training Epoch: 3 [5376/48700]	Loss: 1.9575	LR: 0.100000
Training Epoch: 3 [5632/48700]	Loss: 1.9612	LR: 0.100000
Training Epoch: 3 [5888/48700]	Loss: 2.1717	LR: 0.100000
Training Epoch: 3 [6144/48700]	Loss: 1.9874	LR: 0.100000
Training Epoch: 3 [6400/48700]	Loss: 1.8799	LR: 0.100000
Training Epoch: 3 [6656/48700]	Loss: 2.0443	LR: 0.100000
Training Epoch: 3 [6912/48700]	Loss: 1.9629	LR: 0.100000
Training Epoch: 3 [7168/48700]	Loss: 1.9494	LR: 0.100000
Training Epoch: 3 [7424/48700]	Loss: 1.8577	LR: 0.100000
Training Epoch: 3 [7680/48700]	Loss: 1.9666	LR: 0.100000
Training Epoch: 3 [7936/48700]	Loss: 1.9241	LR: 0.100000
Training Epoch: 3 [8192/48700]	Loss: 2.0092	LR: 0.100000
Training Epoch: 3 [8448/48700]	Loss: 2.0435	LR: 0.100000
Training Epoch: 3 [8704/48700]	Loss: 1.8726	LR: 0.100000
Training Epoch: 3 [8960/48700]	Loss: 2.0140	LR: 0.100000
Training Epoch: 3 [9216/48700]	Loss: 1.9815	LR: 0.100000
Training Epoch: 3 [9472/48700]	Loss: 2.0764	LR: 0.100000
Training Epoch: 3 [9728/48700]	Loss: 1.9175	LR: 0.100000
Training Epoch: 3 [9984/48700]	Loss: 2.0749	LR: 0.100000
Training Epoch: 3 [10240/48700]	Loss: 1.8806	LR: 0.100000
Training Epoch: 3 [10496/48700]	Loss: 1.9511	LR: 0.100000
Training Epoch: 3 [10752/48700]	Loss: 1.9172	LR: 0.100000
Training Epoch: 3 [11008/48700]	Loss: 2.0206	LR: 0.100000
Training Epoch: 3 [11264/48700]	Loss: 1.8228	LR: 0.100000
Training Epoch: 3 [11520/48700]	Loss: 1.8501	LR: 0.100000
Training Epoch: 3 [11776/48700]	Loss: 2.0741	LR: 0.100000
Training Epoch: 3 [12032/48700]	Loss: 1.9547	LR: 0.100000
Training Epoch: 3 [12288/48700]	Loss: 2.0812	LR: 0.100000
Training Epoch: 3 [12544/48700]	Loss: 1.9300	LR: 0.100000
Training Epoch: 3 [12800/48700]	Loss: 1.8573	LR: 0.100000
Training Epoch: 3 [13056/48700]	Loss: 1.9427	LR: 0.100000
Training Epoch: 3 [13312/48700]	Loss: 2.0078	LR: 0.100000
Training Epoch: 3 [13568/48700]	Loss: 1.8666	LR: 0.100000
Training Epoch: 3 [13824/48700]	Loss: 1.9598	LR: 0.100000
Training Epoch: 3 [14080/48700]	Loss: 1.8270	LR: 0.100000
Training Epoch: 3 [14336/48700]	Loss: 2.0165	LR: 0.100000
Training Epoch: 3 [14592/48700]	Loss: 2.0022	LR: 0.100000
Training Epoch: 3 [14848/48700]	Loss: 1.9166	LR: 0.100000
Training Epoch: 3 [15104/48700]	Loss: 1.8637	LR: 0.100000
Training Epoch: 3 [15360/48700]	Loss: 2.1058	LR: 0.100000
Training Epoch: 3 [15616/48700]	Loss: 2.0267	LR: 0.100000
Training Epoch: 3 [15872/48700]	Loss: 1.8689	LR: 0.100000
Training Epoch: 3 [16128/48700]	Loss: 2.1190	LR: 0.100000
Training Epoch: 3 [16384/48700]	Loss: 1.9901	LR: 0.100000
Training Epoch: 3 [16640/48700]	Loss: 1.9913	LR: 0.100000
Training Epoch: 3 [16896/48700]	Loss: 1.9199	LR: 0.100000
Training Epoch: 3 [17152/48700]	Loss: 1.9623	LR: 0.100000
Training Epoch: 3 [17408/48700]	Loss: 1.8600	LR: 0.100000
Training Epoch: 3 [17664/48700]	Loss: 1.9645	LR: 0.100000
Training Epoch: 3 [17920/48700]	Loss: 1.9326	LR: 0.100000
Training Epoch: 3 [18176/48700]	Loss: 1.9731	LR: 0.100000
Training Epoch: 3 [18432/48700]	Loss: 2.0921	LR: 0.100000
Training Epoch: 3 [18688/48700]	Loss: 1.9140	LR: 0.100000
Training Epoch: 3 [18944/48700]	Loss: 1.8378	LR: 0.100000
Training Epoch: 3 [19200/48700]	Loss: 1.8286	LR: 0.100000
Training Epoch: 3 [19456/48700]	Loss: 2.0529	LR: 0.100000
Training Epoch: 3 [19712/48700]	Loss: 1.8871	LR: 0.100000
Training Epoch: 3 [19968/48700]	Loss: 1.8557	LR: 0.100000
Training Epoch: 3 [20224/48700]	Loss: 1.8734	LR: 0.100000
Training Epoch: 3 [20480/48700]	Loss: 1.8909	LR: 0.100000
Training Epoch: 3 [20736/48700]	Loss: 1.9964	LR: 0.100000
Training Epoch: 3 [20992/48700]	Loss: 2.0283	LR: 0.100000
Training Epoch: 3 [21248/48700]	Loss: 1.9535	LR: 0.100000
Training Epoch: 3 [21504/48700]	Loss: 1.9306	LR: 0.100000
Training Epoch: 3 [21760/48700]	Loss: 1.9408	LR: 0.100000
Training Epoch: 3 [22016/48700]	Loss: 1.8650	LR: 0.100000
Training Epoch: 3 [22272/48700]	Loss: 1.9058	LR: 0.100000
Training Epoch: 3 [22528/48700]	Loss: 1.8866	LR: 0.100000
Training Epoch: 3 [22784/48700]	Loss: 1.8312	LR: 0.100000
Training Epoch: 3 [23040/48700]	Loss: 1.8622	LR: 0.100000
Training Epoch: 3 [23296/48700]	Loss: 1.9305	LR: 0.100000
Training Epoch: 3 [23552/48700]	Loss: 1.9148	LR: 0.100000
Training Epoch: 3 [23808/48700]	Loss: 1.8700	LR: 0.100000
Training Epoch: 3 [24064/48700]	Loss: 1.9039	LR: 0.100000
Training Epoch: 3 [24320/48700]	Loss: 1.6948	LR: 0.100000
Training Epoch: 3 [24576/48700]	Loss: 1.9431	LR: 0.100000
Training Epoch: 3 [24832/48700]	Loss: 1.8767	LR: 0.100000
Training Epoch: 3 [25088/48700]	Loss: 1.8425	LR: 0.100000
Training Epoch: 3 [25344/48700]	Loss: 1.8510	LR: 0.100000
Training Epoch: 3 [25600/48700]	Loss: 1.9722	LR: 0.100000
Training Epoch: 3 [25856/48700]	Loss: 1.8571	LR: 0.100000
Training Epoch: 3 [26112/48700]	Loss: 1.7855	LR: 0.100000
Training Epoch: 3 [26368/48700]	Loss: 1.8954	LR: 0.100000
Training Epoch: 3 [26624/48700]	Loss: 1.7999	LR: 0.100000
Training Epoch: 3 [26880/48700]	Loss: 1.9560	LR: 0.100000
Training Epoch: 3 [27136/48700]	Loss: 1.9578	LR: 0.100000
Training Epoch: 3 [27392/48700]	Loss: 1.8385	LR: 0.100000
Training Epoch: 3 [27648/48700]	Loss: 1.9043	LR: 0.100000
Training Epoch: 3 [27904/48700]	Loss: 1.7187	LR: 0.100000
Training Epoch: 3 [28160/48700]	Loss: 1.7398	LR: 0.100000
Training Epoch: 3 [28416/48700]	Loss: 1.9951	LR: 0.100000
Training Epoch: 3 [28672/48700]	Loss: 2.0049	LR: 0.100000
Training Epoch: 3 [28928/48700]	Loss: 1.8410	LR: 0.100000
Training Epoch: 3 [29184/48700]	Loss: 2.1436	LR: 0.100000
Training Epoch: 3 [29440/48700]	Loss: 1.9585	LR: 0.100000
Training Epoch: 3 [29696/48700]	Loss: 1.9190	LR: 0.100000
Training Epoch: 3 [29952/48700]	Loss: 1.8204	LR: 0.100000
Training Epoch: 3 [30208/48700]	Loss: 1.8514	LR: 0.100000
Training Epoch: 3 [30464/48700]	Loss: 1.7753	LR: 0.100000
Training Epoch: 3 [30720/48700]	Loss: 1.9686	LR: 0.100000
Training Epoch: 3 [30976/48700]	Loss: 1.9936	LR: 0.100000
Training Epoch: 3 [31232/48700]	Loss: 1.9578	LR: 0.100000
Training Epoch: 3 [31488/48700]	Loss: 1.9484	LR: 0.100000
Training Epoch: 3 [31744/48700]	Loss: 1.8424	LR: 0.100000
Training Epoch: 3 [32000/48700]	Loss: 1.8311	LR: 0.100000
Training Epoch: 3 [32256/48700]	Loss: 2.0174	LR: 0.100000
Training Epoch: 3 [32512/48700]	Loss: 1.8904	LR: 0.100000
Training Epoch: 3 [32768/48700]	Loss: 1.8630	LR: 0.100000
Training Epoch: 3 [33024/48700]	Loss: 1.7843	LR: 0.100000
Training Epoch: 3 [33280/48700]	Loss: 1.8059	LR: 0.100000
Training Epoch: 3 [33536/48700]	Loss: 1.8038	LR: 0.100000
Training Epoch: 3 [33792/48700]	Loss: 1.7998	LR: 0.100000
Training Epoch: 3 [34048/48700]	Loss: 1.7786	LR: 0.100000
Training Epoch: 3 [34304/48700]	Loss: 1.8249	LR: 0.100000
Training Epoch: 3 [34560/48700]	Loss: 1.8950	LR: 0.100000
Training Epoch: 3 [34816/48700]	Loss: 1.9471	LR: 0.100000
Training Epoch: 3 [35072/48700]	Loss: 1.7661	LR: 0.100000
Training Epoch: 3 [35328/48700]	Loss: 1.8502	LR: 0.100000
Training Epoch: 3 [35584/48700]	Loss: 1.7500	LR: 0.100000
Training Epoch: 3 [35840/48700]	Loss: 1.8294	LR: 0.100000
Training Epoch: 3 [36096/48700]	Loss: 1.7796	LR: 0.100000
Training Epoch: 3 [36352/48700]	Loss: 1.9863	LR: 0.100000
Training Epoch: 3 [36608/48700]	Loss: 1.8271	LR: 0.100000
Training Epoch: 3 [36864/48700]	Loss: 1.7898	LR: 0.100000
Training Epoch: 3 [37120/48700]	Loss: 1.7952	LR: 0.100000
Training Epoch: 3 [37376/48700]	Loss: 1.8217	LR: 0.100000
Training Epoch: 3 [37632/48700]	Loss: 1.7798	LR: 0.100000
Training Epoch: 3 [37888/48700]	Loss: 1.8332	LR: 0.100000
Training Epoch: 3 [38144/48700]	Loss: 1.7821	LR: 0.100000
Training Epoch: 3 [38400/48700]	Loss: 1.8566	LR: 0.100000
Training Epoch: 3 [38656/48700]	Loss: 1.8356	LR: 0.100000
Training Epoch: 3 [38912/48700]	Loss: 1.7052	LR: 0.100000
Training Epoch: 3 [39168/48700]	Loss: 1.7959	LR: 0.100000
Training Epoch: 3 [39424/48700]	Loss: 1.7363	LR: 0.100000
Training Epoch: 3 [39680/48700]	Loss: 1.8441	LR: 0.100000
Training Epoch: 3 [39936/48700]	Loss: 1.7697	LR: 0.100000
Training Epoch: 3 [40192/48700]	Loss: 1.8908	LR: 0.100000
Training Epoch: 3 [40448/48700]	Loss: 1.8352	LR: 0.100000
Training Epoch: 3 [40704/48700]	Loss: 1.9989	LR: 0.100000
Training Epoch: 3 [40960/48700]	Loss: 1.6609	LR: 0.100000
Training Epoch: 3 [41216/48700]	Loss: 1.8737	LR: 0.100000
Training Epoch: 3 [41472/48700]	Loss: 1.8492	LR: 0.100000
Training Epoch: 3 [41728/48700]	Loss: 1.8376	LR: 0.100000
Training Epoch: 3 [41984/48700]	Loss: 1.7255	LR: 0.100000
Training Epoch: 3 [42240/48700]	Loss: 1.8559	LR: 0.100000
Training Epoch: 3 [42496/48700]	Loss: 1.7876	LR: 0.100000
Training Epoch: 3 [42752/48700]	Loss: 1.8061	LR: 0.100000
Training Epoch: 3 [43008/48700]	Loss: 1.7479	LR: 0.100000
Training Epoch: 3 [43264/48700]	Loss: 1.8410	LR: 0.100000
Training Epoch: 3 [43520/48700]	Loss: 1.8555	LR: 0.100000
Training Epoch: 3 [43776/48700]	Loss: 1.7471	LR: 0.100000
Training Epoch: 3 [44032/48700]	Loss: 1.8232	LR: 0.100000
Training Epoch: 3 [44288/48700]	Loss: 1.8282	LR: 0.100000
Training Epoch: 3 [44544/48700]	Loss: 1.6575	LR: 0.100000
Training Epoch: 3 [44800/48700]	Loss: 1.6531	LR: 0.100000
Training Epoch: 3 [45056/48700]	Loss: 1.7951	LR: 0.100000
Training Epoch: 3 [45312/48700]	Loss: 1.7132	LR: 0.100000
Training Epoch: 3 [45568/48700]	Loss: 1.6963	LR: 0.100000
Training Epoch: 3 [45824/48700]	Loss: 1.7167	LR: 0.100000
Training Epoch: 3 [46080/48700]	Loss: 1.6954	LR: 0.100000
Training Epoch: 3 [46336/48700]	Loss: 1.8976	LR: 0.100000
Training Epoch: 3 [46592/48700]	Loss: 1.7588	LR: 0.100000
Training Epoch: 3 [46848/48700]	Loss: 1.8667	LR: 0.100000
Training Epoch: 3 [47104/48700]	Loss: 1.9023	LR: 0.100000
Training Epoch: 3 [47360/48700]	Loss: 1.7140	LR: 0.100000
Training Epoch: 3 [47616/48700]	Loss: 1.7987	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.6293	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.8801	LR: 0.100000
Training Epoch: 3 [48384/48700]	Loss: 1.8580	LR: 0.100000
Training Epoch: 3 [48640/48700]	Loss: 1.7582	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 2.2176	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8979, Train Accuracy: 0.4036
Epoch 3 training time consumed: 29.75s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0071, Accuracy: 0.4333, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.6524	LR: 0.100000
Training Epoch: 4 [512/48700]	Loss: 1.8046	LR: 0.100000
Training Epoch: 4 [768/48700]	Loss: 1.8962	LR: 0.100000
Training Epoch: 4 [1024/48700]	Loss: 1.8745	LR: 0.100000
Training Epoch: 4 [1280/48700]	Loss: 1.7385	LR: 0.100000
Training Epoch: 4 [1536/48700]	Loss: 1.6579	LR: 0.100000
Training Epoch: 4 [1792/48700]	Loss: 1.7835	LR: 0.100000
Training Epoch: 4 [2048/48700]	Loss: 1.7384	LR: 0.100000
Training Epoch: 4 [2304/48700]	Loss: 1.8632	LR: 0.100000
Training Epoch: 4 [2560/48700]	Loss: 1.8997	LR: 0.100000
Training Epoch: 4 [2816/48700]	Loss: 1.7443	LR: 0.100000
Training Epoch: 4 [3072/48700]	Loss: 1.7300	LR: 0.100000
Training Epoch: 4 [3328/48700]	Loss: 1.7244	LR: 0.100000
Training Epoch: 4 [3584/48700]	Loss: 1.7274	LR: 0.100000
Training Epoch: 4 [3840/48700]	Loss: 1.7309	LR: 0.100000
Training Epoch: 4 [4096/48700]	Loss: 1.6835	LR: 0.100000
Training Epoch: 4 [4352/48700]	Loss: 1.6693	LR: 0.100000
Training Epoch: 4 [4608/48700]	Loss: 1.8173	LR: 0.100000
Training Epoch: 4 [4864/48700]	Loss: 1.7053	LR: 0.100000
Training Epoch: 4 [5120/48700]	Loss: 1.6142	LR: 0.100000
Training Epoch: 4 [5376/48700]	Loss: 1.6629	LR: 0.100000
Training Epoch: 4 [5632/48700]	Loss: 1.7587	LR: 0.100000
Training Epoch: 4 [5888/48700]	Loss: 1.7887	LR: 0.100000
Training Epoch: 4 [6144/48700]	Loss: 1.7720	LR: 0.100000
Training Epoch: 4 [6400/48700]	Loss: 1.7870	LR: 0.100000
Training Epoch: 4 [6656/48700]	Loss: 1.8380	LR: 0.100000
Training Epoch: 4 [6912/48700]	Loss: 1.8485	LR: 0.100000
Training Epoch: 4 [7168/48700]	Loss: 1.7742	LR: 0.100000
Training Epoch: 4 [7424/48700]	Loss: 1.7790	LR: 0.100000
Training Epoch: 4 [7680/48700]	Loss: 1.7120	LR: 0.100000
Training Epoch: 4 [7936/48700]	Loss: 1.9421	LR: 0.100000
Training Epoch: 4 [8192/48700]	Loss: 1.8497	LR: 0.100000
Training Epoch: 4 [8448/48700]	Loss: 1.6896	LR: 0.100000
Training Epoch: 4 [8704/48700]	Loss: 1.9229	LR: 0.100000
Training Epoch: 4 [8960/48700]	Loss: 1.7993	LR: 0.100000
Training Epoch: 4 [9216/48700]	Loss: 1.7918	LR: 0.100000
Training Epoch: 4 [9472/48700]	Loss: 1.7003	LR: 0.100000
Training Epoch: 4 [9728/48700]	Loss: 1.8689	LR: 0.100000
Training Epoch: 4 [9984/48700]	Loss: 1.7020	LR: 0.100000
Training Epoch: 4 [10240/48700]	Loss: 1.5952	LR: 0.100000
Training Epoch: 4 [10496/48700]	Loss: 1.7583	LR: 0.100000
Training Epoch: 4 [10752/48700]	Loss: 1.7844	LR: 0.100000
Training Epoch: 4 [11008/48700]	Loss: 1.6627	LR: 0.100000
Training Epoch: 4 [11264/48700]	Loss: 1.6613	LR: 0.100000
Training Epoch: 4 [11520/48700]	Loss: 1.8331	LR: 0.100000
Training Epoch: 4 [11776/48700]	Loss: 1.7361	LR: 0.100000
Training Epoch: 4 [12032/48700]	Loss: 1.7369	LR: 0.100000
Training Epoch: 4 [12288/48700]	Loss: 1.8882	LR: 0.100000
Training Epoch: 4 [12544/48700]	Loss: 1.7815	LR: 0.100000
Training Epoch: 4 [12800/48700]	Loss: 1.7211	LR: 0.100000
Training Epoch: 4 [13056/48700]	Loss: 1.7876	LR: 0.100000
Training Epoch: 4 [13312/48700]	Loss: 1.6727	LR: 0.100000
Training Epoch: 4 [13568/48700]	Loss: 1.9842	LR: 0.100000
Training Epoch: 4 [13824/48700]	Loss: 1.7667	LR: 0.100000
Training Epoch: 4 [14080/48700]	Loss: 1.6211	LR: 0.100000
Training Epoch: 4 [14336/48700]	Loss: 1.6188	LR: 0.100000
Training Epoch: 4 [14592/48700]	Loss: 1.7231	LR: 0.100000
Training Epoch: 4 [14848/48700]	Loss: 1.7450	LR: 0.100000
Training Epoch: 4 [15104/48700]	Loss: 1.8430	LR: 0.100000
Training Epoch: 4 [15360/48700]	Loss: 1.6841	LR: 0.100000
Training Epoch: 4 [15616/48700]	Loss: 1.8388	LR: 0.100000
Training Epoch: 4 [15872/48700]	Loss: 1.7886	LR: 0.100000
Training Epoch: 4 [16128/48700]	Loss: 1.6450	LR: 0.100000
Training Epoch: 4 [16384/48700]	Loss: 1.7134	LR: 0.100000
Training Epoch: 4 [16640/48700]	Loss: 1.7927	LR: 0.100000
Training Epoch: 4 [16896/48700]	Loss: 1.8399	LR: 0.100000
Training Epoch: 4 [17152/48700]	Loss: 1.6209	LR: 0.100000
Training Epoch: 4 [17408/48700]	Loss: 1.8833	LR: 0.100000
Training Epoch: 4 [17664/48700]	Loss: 1.6083	LR: 0.100000
Training Epoch: 4 [17920/48700]	Loss: 1.7895	LR: 0.100000
Training Epoch: 4 [18176/48700]	Loss: 1.7843	LR: 0.100000
Training Epoch: 4 [18432/48700]	Loss: 1.8590	LR: 0.100000
Training Epoch: 4 [18688/48700]	Loss: 1.7404	LR: 0.100000
Training Epoch: 4 [18944/48700]	Loss: 1.7222	LR: 0.100000
Training Epoch: 4 [19200/48700]	Loss: 1.5875	LR: 0.100000
Training Epoch: 4 [19456/48700]	Loss: 1.5791	LR: 0.100000
Training Epoch: 4 [19712/48700]	Loss: 1.7401	LR: 0.100000
Training Epoch: 4 [19968/48700]	Loss: 1.6119	LR: 0.100000
Training Epoch: 4 [20224/48700]	Loss: 1.7131	LR: 0.100000
Training Epoch: 4 [20480/48700]	Loss: 1.6408	LR: 0.100000
Training Epoch: 4 [20736/48700]	Loss: 1.6167	LR: 0.100000
Training Epoch: 4 [20992/48700]	Loss: 1.7186	LR: 0.100000
Training Epoch: 4 [21248/48700]	Loss: 1.7322	LR: 0.100000
Training Epoch: 4 [21504/48700]	Loss: 1.7744	LR: 0.100000
Training Epoch: 4 [21760/48700]	Loss: 1.7168	LR: 0.100000
Training Epoch: 4 [22016/48700]	Loss: 1.7228	LR: 0.100000
Training Epoch: 4 [22272/48700]	Loss: 1.7493	LR: 0.100000
Training Epoch: 4 [22528/48700]	Loss: 1.8638	LR: 0.100000
Training Epoch: 4 [22784/48700]	Loss: 1.6246	LR: 0.100000
Training Epoch: 4 [23040/48700]	Loss: 1.5931	LR: 0.100000
Training Epoch: 4 [23296/48700]	Loss: 1.6718	LR: 0.100000
Training Epoch: 4 [23552/48700]	Loss: 1.6194	LR: 0.100000
Training Epoch: 4 [23808/48700]	Loss: 1.8399	LR: 0.100000
Training Epoch: 4 [24064/48700]	Loss: 1.6941	LR: 0.100000
Training Epoch: 4 [24320/48700]	Loss: 1.5710	LR: 0.100000
Training Epoch: 4 [24576/48700]	Loss: 1.7481	LR: 0.100000
Training Epoch: 4 [24832/48700]	Loss: 1.5115	LR: 0.100000
Training Epoch: 4 [25088/48700]	Loss: 1.5193	LR: 0.100000
Training Epoch: 4 [25344/48700]	Loss: 1.6814	LR: 0.100000
Training Epoch: 4 [25600/48700]	Loss: 1.7182	LR: 0.100000
Training Epoch: 4 [25856/48700]	Loss: 1.6876	LR: 0.100000
Training Epoch: 4 [26112/48700]	Loss: 1.5986	LR: 0.100000
Training Epoch: 4 [26368/48700]	Loss: 1.7219	LR: 0.100000
Training Epoch: 4 [26624/48700]	Loss: 1.8079	LR: 0.100000
Training Epoch: 4 [26880/48700]	Loss: 1.5409	LR: 0.100000
Training Epoch: 4 [27136/48700]	Loss: 1.5539	LR: 0.100000
Training Epoch: 4 [27392/48700]	Loss: 1.5895	LR: 0.100000
Training Epoch: 4 [27648/48700]	Loss: 1.7880	LR: 0.100000
Training Epoch: 4 [27904/48700]	Loss: 1.5153	LR: 0.100000
Training Epoch: 4 [28160/48700]	Loss: 1.8255	LR: 0.100000
Training Epoch: 4 [28416/48700]	Loss: 1.8547	LR: 0.100000
Training Epoch: 4 [28672/48700]	Loss: 1.7518	LR: 0.100000
Training Epoch: 4 [28928/48700]	Loss: 1.7251	LR: 0.100000
Training Epoch: 4 [29184/48700]	Loss: 1.6106	LR: 0.100000
Training Epoch: 4 [29440/48700]	Loss: 1.8543	LR: 0.100000
Training Epoch: 4 [29696/48700]	Loss: 1.8538	LR: 0.100000
Training Epoch: 4 [29952/48700]	Loss: 1.7157	LR: 0.100000
Training Epoch: 4 [30208/48700]	Loss: 1.6069	LR: 0.100000
Training Epoch: 4 [30464/48700]	Loss: 1.7174	LR: 0.100000
Training Epoch: 4 [30720/48700]	Loss: 1.7792	LR: 0.100000
Training Epoch: 4 [30976/48700]	Loss: 1.6562	LR: 0.100000
Training Epoch: 4 [31232/48700]	Loss: 1.5313	LR: 0.100000
Training Epoch: 4 [31488/48700]	Loss: 1.6533	LR: 0.100000
Training Epoch: 4 [31744/48700]	Loss: 1.6280	LR: 0.100000
Training Epoch: 4 [32000/48700]	Loss: 1.7848	LR: 0.100000
Training Epoch: 4 [32256/48700]	Loss: 1.8570	LR: 0.100000
Training Epoch: 4 [32512/48700]	Loss: 1.6661	LR: 0.100000
Training Epoch: 4 [32768/48700]	Loss: 1.6354	LR: 0.100000
Training Epoch: 4 [33024/48700]	Loss: 1.7624	LR: 0.100000
Training Epoch: 4 [33280/48700]	Loss: 1.7622	LR: 0.100000
Training Epoch: 4 [33536/48700]	Loss: 1.5617	LR: 0.100000
Training Epoch: 4 [33792/48700]	Loss: 1.6640	LR: 0.100000
Training Epoch: 4 [34048/48700]	Loss: 1.6744	LR: 0.100000
Training Epoch: 4 [34304/48700]	Loss: 1.5542	LR: 0.100000
Training Epoch: 4 [34560/48700]	Loss: 1.6350	LR: 0.100000
Training Epoch: 4 [34816/48700]	Loss: 1.6804	LR: 0.100000
Training Epoch: 4 [35072/48700]	Loss: 1.6021	LR: 0.100000
Training Epoch: 4 [35328/48700]	Loss: 1.6148	LR: 0.100000
Training Epoch: 4 [35584/48700]	Loss: 1.5116	LR: 0.100000
Training Epoch: 4 [35840/48700]	Loss: 1.7179	LR: 0.100000
Training Epoch: 4 [36096/48700]	Loss: 1.5728	LR: 0.100000
Training Epoch: 4 [36352/48700]	Loss: 1.5954	LR: 0.100000
Training Epoch: 4 [36608/48700]	Loss: 1.7240	LR: 0.100000
Training Epoch: 4 [36864/48700]	Loss: 1.7193	LR: 0.100000
Training Epoch: 4 [37120/48700]	Loss: 1.5002	LR: 0.100000
Training Epoch: 4 [37376/48700]	Loss: 1.6736	LR: 0.100000
Training Epoch: 4 [37632/48700]	Loss: 1.5788	LR: 0.100000
Training Epoch: 4 [37888/48700]	Loss: 1.6661	LR: 0.100000
Training Epoch: 4 [38144/48700]	Loss: 1.6249	LR: 0.100000
Training Epoch: 4 [38400/48700]	Loss: 1.5517	LR: 0.100000
Training Epoch: 4 [38656/48700]	Loss: 1.6505	LR: 0.100000
Training Epoch: 4 [38912/48700]	Loss: 1.5850	LR: 0.100000
Training Epoch: 4 [39168/48700]	Loss: 1.6314	LR: 0.100000
Training Epoch: 4 [39424/48700]	Loss: 1.5154	LR: 0.100000
Training Epoch: 4 [39680/48700]	Loss: 1.7070	LR: 0.100000
Training Epoch: 4 [39936/48700]	Loss: 1.6844	LR: 0.100000
Training Epoch: 4 [40192/48700]	Loss: 1.5764	LR: 0.100000
Training Epoch: 4 [40448/48700]	Loss: 1.8944	LR: 0.100000
Training Epoch: 4 [40704/48700]	Loss: 1.5921	LR: 0.100000
Training Epoch: 4 [40960/48700]	Loss: 1.6247	LR: 0.100000
Training Epoch: 4 [41216/48700]	Loss: 1.6099	LR: 0.100000
Training Epoch: 4 [41472/48700]	Loss: 1.7294	LR: 0.100000
Training Epoch: 4 [41728/48700]	Loss: 1.6118	LR: 0.100000
Training Epoch: 4 [41984/48700]	Loss: 1.7688	LR: 0.100000
Training Epoch: 4 [42240/48700]	Loss: 1.6185	LR: 0.100000
Training Epoch: 4 [42496/48700]	Loss: 1.5636	LR: 0.100000
Training Epoch: 4 [42752/48700]	Loss: 1.6755	LR: 0.100000
Training Epoch: 4 [43008/48700]	Loss: 1.7107	LR: 0.100000
Training Epoch: 4 [43264/48700]	Loss: 1.6305	LR: 0.100000
Training Epoch: 4 [43520/48700]	Loss: 1.5911	LR: 0.100000
Training Epoch: 4 [43776/48700]	Loss: 1.5194	LR: 0.100000
Training Epoch: 4 [44032/48700]	Loss: 1.7337	LR: 0.100000
Training Epoch: 4 [44288/48700]	Loss: 1.6057	LR: 0.100000
Training Epoch: 4 [44544/48700]	Loss: 1.5995	LR: 0.100000
Training Epoch: 4 [44800/48700]	Loss: 1.6078	LR: 0.100000
Training Epoch: 4 [45056/48700]	Loss: 1.6326	LR: 0.100000
Training Epoch: 4 [45312/48700]	Loss: 1.6329	LR: 0.100000
Training Epoch: 4 [45568/48700]	Loss: 1.5219	LR: 0.100000
Training Epoch: 4 [45824/48700]	Loss: 1.6914	LR: 0.100000
Training Epoch: 4 [46080/48700]	Loss: 1.4848	LR: 0.100000
Training Epoch: 4 [46336/48700]	Loss: 1.6409	LR: 0.100000
Training Epoch: 4 [46592/48700]	Loss: 1.5979	LR: 0.100000
Training Epoch: 4 [46848/48700]	Loss: 1.6452	LR: 0.100000
Training Epoch: 4 [47104/48700]	Loss: 1.4442	LR: 0.100000
Training Epoch: 4 [47360/48700]	Loss: 1.5695	LR: 0.100000
Training Epoch: 4 [47616/48700]	Loss: 1.5985	LR: 0.100000
Training Epoch: 4 [47872/48700]	Loss: 1.5498	LR: 0.100000
Training Epoch: 4 [48128/48700]	Loss: 1.6811	LR: 0.100000
Training Epoch: 4 [48384/48700]	Loss: 1.7265	LR: 0.100000
Training Epoch: 4 [48640/48700]	Loss: 1.6760	LR: 0.100000
Training Epoch: 4 [48700/48700]	Loss: 1.6576	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6969, Train Accuracy: 0.4629
Epoch 4 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0073, Accuracy: 0.4481, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.5683	LR: 0.100000
Training Epoch: 5 [512/48700]	Loss: 1.7127	LR: 0.100000
Training Epoch: 5 [768/48700]	Loss: 1.7499	LR: 0.100000
Training Epoch: 5 [1024/48700]	Loss: 1.8369	LR: 0.100000
Training Epoch: 5 [1280/48700]	Loss: 1.6783	LR: 0.100000
Training Epoch: 5 [1536/48700]	Loss: 1.5280	LR: 0.100000
Training Epoch: 5 [1792/48700]	Loss: 1.6502	LR: 0.100000
Training Epoch: 5 [2048/48700]	Loss: 1.5346	LR: 0.100000
Training Epoch: 5 [2304/48700]	Loss: 1.4874	LR: 0.100000
Training Epoch: 5 [2560/48700]	Loss: 1.5988	LR: 0.100000
Training Epoch: 5 [2816/48700]	Loss: 1.6273	LR: 0.100000
Training Epoch: 5 [3072/48700]	Loss: 1.5128	LR: 0.100000
Training Epoch: 5 [3328/48700]	Loss: 1.6125	LR: 0.100000
Training Epoch: 5 [3584/48700]	Loss: 1.5715	LR: 0.100000
Training Epoch: 5 [3840/48700]	Loss: 1.5920	LR: 0.100000
Training Epoch: 5 [4096/48700]	Loss: 1.4793	LR: 0.100000
Training Epoch: 5 [4352/48700]	Loss: 1.3841	LR: 0.100000
Training Epoch: 5 [4608/48700]	Loss: 1.5723	LR: 0.100000
Training Epoch: 5 [4864/48700]	Loss: 1.6435	LR: 0.100000
Training Epoch: 5 [5120/48700]	Loss: 1.5409	LR: 0.100000
Training Epoch: 5 [5376/48700]	Loss: 1.4381	LR: 0.100000
Training Epoch: 5 [5632/48700]	Loss: 1.4404	LR: 0.100000
Training Epoch: 5 [5888/48700]	Loss: 1.3608	LR: 0.100000
Training Epoch: 5 [6144/48700]	Loss: 1.4097	LR: 0.100000
Training Epoch: 5 [6400/48700]	Loss: 1.5813	LR: 0.100000
Training Epoch: 5 [6656/48700]	Loss: 1.4046	LR: 0.100000
Training Epoch: 5 [6912/48700]	Loss: 1.3930	LR: 0.100000
Training Epoch: 5 [7168/48700]	Loss: 1.6731	LR: 0.100000
Training Epoch: 5 [7424/48700]	Loss: 1.5816	LR: 0.100000
Training Epoch: 5 [7680/48700]	Loss: 1.5603	LR: 0.100000
Training Epoch: 5 [7936/48700]	Loss: 1.5937	LR: 0.100000
Training Epoch: 5 [8192/48700]	Loss: 1.4128	LR: 0.100000
Training Epoch: 5 [8448/48700]	Loss: 1.5976	LR: 0.100000
Training Epoch: 5 [8704/48700]	Loss: 1.6760	LR: 0.100000
Training Epoch: 5 [8960/48700]	Loss: 1.6033	LR: 0.100000
Training Epoch: 5 [9216/48700]	Loss: 1.4342	LR: 0.100000
Training Epoch: 5 [9472/48700]	Loss: 1.4846	LR: 0.100000
Training Epoch: 5 [9728/48700]	Loss: 1.4609	LR: 0.100000
Training Epoch: 5 [9984/48700]	Loss: 1.4247	LR: 0.100000
Training Epoch: 5 [10240/48700]	Loss: 1.6463	LR: 0.100000
Training Epoch: 5 [10496/48700]	Loss: 1.5714	LR: 0.100000
Training Epoch: 5 [10752/48700]	Loss: 1.5950	LR: 0.100000
Training Epoch: 5 [11008/48700]	Loss: 1.4888	LR: 0.100000
Training Epoch: 5 [11264/48700]	Loss: 1.5726	LR: 0.100000
Training Epoch: 5 [11520/48700]	Loss: 1.6131	LR: 0.100000
Training Epoch: 5 [11776/48700]	Loss: 1.5581	LR: 0.100000
Training Epoch: 5 [12032/48700]	Loss: 1.6533	LR: 0.100000
Training Epoch: 5 [12288/48700]	Loss: 1.3887	LR: 0.100000
Training Epoch: 5 [12544/48700]	Loss: 1.5809	LR: 0.100000
Training Epoch: 5 [12800/48700]	Loss: 1.5158	LR: 0.100000
Training Epoch: 5 [13056/48700]	Loss: 1.5874	LR: 0.100000
Training Epoch: 5 [13312/48700]	Loss: 1.5340	LR: 0.100000
Training Epoch: 5 [13568/48700]	Loss: 1.5866	LR: 0.100000
Training Epoch: 5 [13824/48700]	Loss: 1.4545	LR: 0.100000
Training Epoch: 5 [14080/48700]	Loss: 1.5571	LR: 0.100000
Training Epoch: 5 [14336/48700]	Loss: 1.5100	LR: 0.100000
Training Epoch: 5 [14592/48700]	Loss: 1.7073	LR: 0.100000
Training Epoch: 5 [14848/48700]	Loss: 1.5590	LR: 0.100000
Training Epoch: 5 [15104/48700]	Loss: 1.6526	LR: 0.100000
Training Epoch: 5 [15360/48700]	Loss: 1.6354	LR: 0.100000
Training Epoch: 5 [15616/48700]	Loss: 1.6150	LR: 0.100000
Training Epoch: 5 [15872/48700]	Loss: 1.5657	LR: 0.100000
Training Epoch: 5 [16128/48700]	Loss: 1.5736	LR: 0.100000
Training Epoch: 5 [16384/48700]	Loss: 1.5545	LR: 0.100000
Training Epoch: 5 [16640/48700]	Loss: 1.7414	LR: 0.100000
Training Epoch: 5 [16896/48700]	Loss: 1.5928	LR: 0.100000
Training Epoch: 5 [17152/48700]	Loss: 1.5572	LR: 0.100000
Training Epoch: 5 [17408/48700]	Loss: 1.4982	LR: 0.100000
Training Epoch: 5 [17664/48700]	Loss: 1.4750	LR: 0.100000
Training Epoch: 5 [17920/48700]	Loss: 1.5774	LR: 0.100000
Training Epoch: 5 [18176/48700]	Loss: 1.6042	LR: 0.100000
Training Epoch: 5 [18432/48700]	Loss: 1.6812	LR: 0.100000
Training Epoch: 5 [18688/48700]	Loss: 1.5129	LR: 0.100000
Training Epoch: 5 [18944/48700]	Loss: 1.3783	LR: 0.100000
Training Epoch: 5 [19200/48700]	Loss: 1.4379	LR: 0.100000
Training Epoch: 5 [19456/48700]	Loss: 1.4579	LR: 0.100000
Training Epoch: 5 [19712/48700]	Loss: 1.5491	LR: 0.100000
Training Epoch: 5 [19968/48700]	Loss: 1.7311	LR: 0.100000
Training Epoch: 5 [20224/48700]	Loss: 1.4187	LR: 0.100000
Training Epoch: 5 [20480/48700]	Loss: 1.5038	LR: 0.100000
Training Epoch: 5 [20736/48700]	Loss: 1.5883	LR: 0.100000
Training Epoch: 5 [20992/48700]	Loss: 1.5064	LR: 0.100000
Training Epoch: 5 [21248/48700]	Loss: 1.5028	LR: 0.100000
Training Epoch: 5 [21504/48700]	Loss: 1.6850	LR: 0.100000
Training Epoch: 5 [21760/48700]	Loss: 1.6185	LR: 0.100000
Training Epoch: 5 [22016/48700]	Loss: 1.5577	LR: 0.100000
Training Epoch: 5 [22272/48700]	Loss: 1.5611	LR: 0.100000
Training Epoch: 5 [22528/48700]	Loss: 1.5083	LR: 0.100000
Training Epoch: 5 [22784/48700]	Loss: 1.4302	LR: 0.100000
Training Epoch: 5 [23040/48700]	Loss: 1.5695	LR: 0.100000
Training Epoch: 5 [23296/48700]	Loss: 1.5034	LR: 0.100000
Training Epoch: 5 [23552/48700]	Loss: 1.5430	LR: 0.100000
Training Epoch: 5 [23808/48700]	Loss: 1.5708	LR: 0.100000
Training Epoch: 5 [24064/48700]	Loss: 1.4833	LR: 0.100000
Training Epoch: 5 [24320/48700]	Loss: 1.6134	LR: 0.100000
Training Epoch: 5 [24576/48700]	Loss: 1.6178	LR: 0.100000
Training Epoch: 5 [24832/48700]	Loss: 1.4590	LR: 0.100000
Training Epoch: 5 [25088/48700]	Loss: 1.6073	LR: 0.100000
Training Epoch: 5 [25344/48700]	Loss: 1.4533	LR: 0.100000
Training Epoch: 5 [25600/48700]	Loss: 1.6245	LR: 0.100000
Training Epoch: 5 [25856/48700]	Loss: 1.6109	LR: 0.100000
Training Epoch: 5 [26112/48700]	Loss: 1.3726	LR: 0.100000
Training Epoch: 5 [26368/48700]	Loss: 1.4869	LR: 0.100000
Training Epoch: 5 [26624/48700]	Loss: 1.5602	LR: 0.100000
Training Epoch: 5 [26880/48700]	Loss: 1.4434	LR: 0.100000
Training Epoch: 5 [27136/48700]	Loss: 1.5013	LR: 0.100000
Training Epoch: 5 [27392/48700]	Loss: 1.5481	LR: 0.100000
Training Epoch: 5 [27648/48700]	Loss: 1.5680	LR: 0.100000
Training Epoch: 5 [27904/48700]	Loss: 1.3568	LR: 0.100000
Training Epoch: 5 [28160/48700]	Loss: 1.5897	LR: 0.100000
Training Epoch: 5 [28416/48700]	Loss: 1.4373	LR: 0.100000
Training Epoch: 5 [28672/48700]	Loss: 1.4811	LR: 0.100000
Training Epoch: 5 [28928/48700]	Loss: 1.5899	LR: 0.100000
Training Epoch: 5 [29184/48700]	Loss: 1.6018	LR: 0.100000
Training Epoch: 5 [29440/48700]	Loss: 1.6335	LR: 0.100000
Training Epoch: 5 [29696/48700]	Loss: 1.5624	LR: 0.100000
Training Epoch: 5 [29952/48700]	Loss: 1.5368	LR: 0.100000
Training Epoch: 5 [30208/48700]	Loss: 1.5020	LR: 0.100000
Training Epoch: 5 [30464/48700]	Loss: 1.4849	LR: 0.100000
Training Epoch: 5 [30720/48700]	Loss: 1.5947	LR: 0.100000
Training Epoch: 5 [30976/48700]	Loss: 1.5173	LR: 0.100000
Training Epoch: 5 [31232/48700]	Loss: 1.4800	LR: 0.100000
Training Epoch: 5 [31488/48700]	Loss: 1.4148	LR: 0.100000
Training Epoch: 5 [31744/48700]	Loss: 1.4863	LR: 0.100000
Training Epoch: 5 [32000/48700]	Loss: 1.2980	LR: 0.100000
Training Epoch: 5 [32256/48700]	Loss: 1.4881	LR: 0.100000
Training Epoch: 5 [32512/48700]	Loss: 1.5161	LR: 0.100000
Training Epoch: 5 [32768/48700]	Loss: 1.5705	LR: 0.100000
Training Epoch: 5 [33024/48700]	Loss: 1.4925	LR: 0.100000
Training Epoch: 5 [33280/48700]	Loss: 1.5187	LR: 0.100000
Training Epoch: 5 [33536/48700]	Loss: 1.5202	LR: 0.100000
Training Epoch: 5 [33792/48700]	Loss: 1.4934	LR: 0.100000
Training Epoch: 5 [34048/48700]	Loss: 1.3984	LR: 0.100000
Training Epoch: 5 [34304/48700]	Loss: 1.5433	LR: 0.100000
Training Epoch: 5 [34560/48700]	Loss: 1.6185	LR: 0.100000
Training Epoch: 5 [34816/48700]	Loss: 1.4703	LR: 0.100000
Training Epoch: 5 [35072/48700]	Loss: 1.4933	LR: 0.100000
Training Epoch: 5 [35328/48700]	Loss: 1.5926	LR: 0.100000
Training Epoch: 5 [35584/48700]	Loss: 1.5311	LR: 0.100000
Training Epoch: 5 [35840/48700]	Loss: 1.5629	LR: 0.100000
Training Epoch: 5 [36096/48700]	Loss: 1.5376	LR: 0.100000
Training Epoch: 5 [36352/48700]	Loss: 1.5658	LR: 0.100000
Training Epoch: 5 [36608/48700]	Loss: 1.5772	LR: 0.100000
Training Epoch: 5 [36864/48700]	Loss: 1.5674	LR: 0.100000
Training Epoch: 5 [37120/48700]	Loss: 1.3961	LR: 0.100000
Training Epoch: 5 [37376/48700]	Loss: 1.5704	LR: 0.100000
Training Epoch: 5 [37632/48700]	Loss: 1.3613	LR: 0.100000
Training Epoch: 5 [37888/48700]	Loss: 1.5512	LR: 0.100000
Training Epoch: 5 [38144/48700]	Loss: 1.2984	LR: 0.100000
Training Epoch: 5 [38400/48700]	Loss: 1.3710	LR: 0.100000
Training Epoch: 5 [38656/48700]	Loss: 1.5336	LR: 0.100000
Training Epoch: 5 [38912/48700]	Loss: 1.4567	LR: 0.100000
Training Epoch: 5 [39168/48700]	Loss: 1.4618	LR: 0.100000
Training Epoch: 5 [39424/48700]	Loss: 1.4212	LR: 0.100000
Training Epoch: 5 [39680/48700]	Loss: 1.3560	LR: 0.100000
Training Epoch: 5 [39936/48700]	Loss: 1.6931	LR: 0.100000
Training Epoch: 5 [40192/48700]	Loss: 1.5094	LR: 0.100000
Training Epoch: 5 [40448/48700]	Loss: 1.4530	LR: 0.100000
Training Epoch: 5 [40704/48700]	Loss: 1.6115	LR: 0.100000
Training Epoch: 5 [40960/48700]	Loss: 1.4498	LR: 0.100000
Training Epoch: 5 [41216/48700]	Loss: 1.5416	LR: 0.100000
Training Epoch: 5 [41472/48700]	Loss: 1.3277	LR: 0.100000
Training Epoch: 5 [41728/48700]	Loss: 1.4134	LR: 0.100000
Training Epoch: 5 [41984/48700]	Loss: 1.5877	LR: 0.100000
Training Epoch: 5 [42240/48700]	Loss: 1.5442	LR: 0.100000
Training Epoch: 5 [42496/48700]	Loss: 1.4689	LR: 0.100000
Training Epoch: 5 [42752/48700]	Loss: 1.6196	LR: 0.100000
Training Epoch: 5 [43008/48700]	Loss: 1.4805	LR: 0.100000
Training Epoch: 5 [43264/48700]	Loss: 1.4219	LR: 0.100000
Training Epoch: 5 [43520/48700]	Loss: 1.4804	LR: 0.100000
Training Epoch: 5 [43776/48700]	Loss: 1.6904	LR: 0.100000
Training Epoch: 5 [44032/48700]	Loss: 1.4228	LR: 0.100000
Training Epoch: 5 [44288/48700]	Loss: 1.5222	LR: 0.100000
Training Epoch: 5 [44544/48700]	Loss: 1.5028	LR: 0.100000
Training Epoch: 5 [44800/48700]	Loss: 1.4027	LR: 0.100000
Training Epoch: 5 [45056/48700]	Loss: 1.5077	LR: 0.100000
Training Epoch: 5 [45312/48700]	Loss: 1.5847	LR: 0.100000
Training Epoch: 5 [45568/48700]	Loss: 1.4223	LR: 0.100000
Training Epoch: 5 [45824/48700]	Loss: 1.5196	LR: 0.100000
Training Epoch: 5 [46080/48700]	Loss: 1.2715	LR: 0.100000
Training Epoch: 5 [46336/48700]	Loss: 1.4799	LR: 0.100000
Training Epoch: 5 [46592/48700]	Loss: 1.3526	LR: 0.100000
Training Epoch: 5 [46848/48700]	Loss: 1.4579	LR: 0.100000
Training Epoch: 5 [47104/48700]	Loss: 1.5121	LR: 0.100000
Training Epoch: 5 [47360/48700]	Loss: 1.2226	LR: 0.100000
Training Epoch: 5 [47616/48700]	Loss: 1.3359	LR: 0.100000
Training Epoch: 5 [47872/48700]	Loss: 1.4036	LR: 0.100000
Training Epoch: 5 [48128/48700]	Loss: 1.5229	LR: 0.100000
Training Epoch: 5 [48384/48700]	Loss: 1.5146	LR: 0.100000
Training Epoch: 5 [48640/48700]	Loss: 1.2382	LR: 0.100000
Training Epoch: 5 [48700/48700]	Loss: 1.5732	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5232, Train Accuracy: 0.5151
Epoch 5 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0062, Accuracy: 0.5063, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-5-best.pth
Training Epoch: 6 [256/48700]	Loss: 1.3656	LR: 0.100000
Training Epoch: 6 [512/48700]	Loss: 1.4307	LR: 0.100000
Training Epoch: 6 [768/48700]	Loss: 1.4247	LR: 0.100000
Training Epoch: 6 [1024/48700]	Loss: 1.4716	LR: 0.100000
Training Epoch: 6 [1280/48700]	Loss: 1.5742	LR: 0.100000
Training Epoch: 6 [1536/48700]	Loss: 1.4276	LR: 0.100000
Training Epoch: 6 [1792/48700]	Loss: 1.5630	LR: 0.100000
Training Epoch: 6 [2048/48700]	Loss: 1.4375	LR: 0.100000
Training Epoch: 6 [2304/48700]	Loss: 1.4302	LR: 0.100000
Training Epoch: 6 [2560/48700]	Loss: 1.3553	LR: 0.100000
Training Epoch: 6 [2816/48700]	Loss: 1.5221	LR: 0.100000
Training Epoch: 6 [3072/48700]	Loss: 1.5267	LR: 0.100000
Training Epoch: 6 [3328/48700]	Loss: 1.3926	LR: 0.100000
Training Epoch: 6 [3584/48700]	Loss: 1.4642	LR: 0.100000
Training Epoch: 6 [3840/48700]	Loss: 1.2684	LR: 0.100000
Training Epoch: 6 [4096/48700]	Loss: 1.5748	LR: 0.100000
Training Epoch: 6 [4352/48700]	Loss: 1.4708	LR: 0.100000
Training Epoch: 6 [4608/48700]	Loss: 1.4331	LR: 0.100000
Training Epoch: 6 [4864/48700]	Loss: 1.3339	LR: 0.100000
Training Epoch: 6 [5120/48700]	Loss: 1.4968	LR: 0.100000
Training Epoch: 6 [5376/48700]	Loss: 1.3109	LR: 0.100000
Training Epoch: 6 [5632/48700]	Loss: 1.4848	LR: 0.100000
Training Epoch: 6 [5888/48700]	Loss: 1.5305	LR: 0.100000
Training Epoch: 6 [6144/48700]	Loss: 1.4144	LR: 0.100000
Training Epoch: 6 [6400/48700]	Loss: 1.2590	LR: 0.100000
Training Epoch: 6 [6656/48700]	Loss: 1.4723	LR: 0.100000
Training Epoch: 6 [6912/48700]	Loss: 1.4651	LR: 0.100000
Training Epoch: 6 [7168/48700]	Loss: 1.4744	LR: 0.100000
Training Epoch: 6 [7424/48700]	Loss: 1.3950	LR: 0.100000
Training Epoch: 6 [7680/48700]	Loss: 1.6180	LR: 0.100000
Training Epoch: 6 [7936/48700]	Loss: 1.3792	LR: 0.100000
Training Epoch: 6 [8192/48700]	Loss: 1.3541	LR: 0.100000
Training Epoch: 6 [8448/48700]	Loss: 1.5499	LR: 0.100000
Training Epoch: 6 [8704/48700]	Loss: 1.3735	LR: 0.100000
Training Epoch: 6 [8960/48700]	Loss: 1.4426	LR: 0.100000
Training Epoch: 6 [9216/48700]	Loss: 1.4601	LR: 0.100000
Training Epoch: 6 [9472/48700]	Loss: 1.2426	LR: 0.100000
Training Epoch: 6 [9728/48700]	Loss: 1.3934	LR: 0.100000
Training Epoch: 6 [9984/48700]	Loss: 1.3673	LR: 0.100000
Training Epoch: 6 [10240/48700]	Loss: 1.3288	LR: 0.100000
Training Epoch: 6 [10496/48700]	Loss: 1.5126	LR: 0.100000
Training Epoch: 6 [10752/48700]	Loss: 1.4127	LR: 0.100000
Training Epoch: 6 [11008/48700]	Loss: 1.4195	LR: 0.100000
Training Epoch: 6 [11264/48700]	Loss: 1.3870	LR: 0.100000
Training Epoch: 6 [11520/48700]	Loss: 1.4656	LR: 0.100000
Training Epoch: 6 [11776/48700]	Loss: 1.4717	LR: 0.100000
Training Epoch: 6 [12032/48700]	Loss: 1.3630	LR: 0.100000
Training Epoch: 6 [12288/48700]	Loss: 1.4807	LR: 0.100000
Training Epoch: 6 [12544/48700]	Loss: 1.3828	LR: 0.100000
Training Epoch: 6 [12800/48700]	Loss: 1.4503	LR: 0.100000
Training Epoch: 6 [13056/48700]	Loss: 1.3718	LR: 0.100000
Training Epoch: 6 [13312/48700]	Loss: 1.3437	LR: 0.100000
Training Epoch: 6 [13568/48700]	Loss: 1.4180	LR: 0.100000
Training Epoch: 6 [13824/48700]	Loss: 1.4434	LR: 0.100000
Training Epoch: 6 [14080/48700]	Loss: 1.3857	LR: 0.100000
Training Epoch: 6 [14336/48700]	Loss: 1.4202	LR: 0.100000
Training Epoch: 6 [14592/48700]	Loss: 1.6310	LR: 0.100000
Training Epoch: 6 [14848/48700]	Loss: 1.6264	LR: 0.100000
Training Epoch: 6 [15104/48700]	Loss: 1.3670	LR: 0.100000
Training Epoch: 6 [15360/48700]	Loss: 1.4086	LR: 0.100000
Training Epoch: 6 [15616/48700]	Loss: 1.4523	LR: 0.100000
Training Epoch: 6 [15872/48700]	Loss: 1.2763	LR: 0.100000
Training Epoch: 6 [16128/48700]	Loss: 1.4639	LR: 0.100000
Training Epoch: 6 [16384/48700]	Loss: 1.4185	LR: 0.100000
Training Epoch: 6 [16640/48700]	Loss: 1.4183	LR: 0.100000
Training Epoch: 6 [16896/48700]	Loss: 1.4135	LR: 0.100000
Training Epoch: 6 [17152/48700]	Loss: 1.4229	LR: 0.100000
Training Epoch: 6 [17408/48700]	Loss: 1.4085	LR: 0.100000
Training Epoch: 6 [17664/48700]	Loss: 1.5270	LR: 0.100000
Training Epoch: 6 [17920/48700]	Loss: 1.3355	LR: 0.100000
Training Epoch: 6 [18176/48700]	Loss: 1.3675	LR: 0.100000
Training Epoch: 6 [18432/48700]	Loss: 1.3314	LR: 0.100000
Training Epoch: 6 [18688/48700]	Loss: 1.4554	LR: 0.100000
Training Epoch: 6 [18944/48700]	Loss: 1.3584	LR: 0.100000
Training Epoch: 6 [19200/48700]	Loss: 1.3323	LR: 0.100000
Training Epoch: 6 [19456/48700]	Loss: 1.4468	LR: 0.100000
Training Epoch: 6 [19712/48700]	Loss: 1.4334	LR: 0.100000
Training Epoch: 6 [19968/48700]	Loss: 1.3751	LR: 0.100000
Training Epoch: 6 [20224/48700]	Loss: 1.3710	LR: 0.100000
Training Epoch: 6 [20480/48700]	Loss: 1.3060	LR: 0.100000
Training Epoch: 6 [20736/48700]	Loss: 1.4407	LR: 0.100000
Training Epoch: 6 [20992/48700]	Loss: 1.4453	LR: 0.100000
Training Epoch: 6 [21248/48700]	Loss: 1.2954	LR: 0.100000
Training Epoch: 6 [21504/48700]	Loss: 1.5496	LR: 0.100000
Training Epoch: 6 [21760/48700]	Loss: 1.3739	LR: 0.100000
Training Epoch: 6 [22016/48700]	Loss: 1.4495	LR: 0.100000
Training Epoch: 6 [22272/48700]	Loss: 1.3284	LR: 0.100000
Training Epoch: 6 [22528/48700]	Loss: 1.4048	LR: 0.100000
Training Epoch: 6 [22784/48700]	Loss: 1.2445	LR: 0.100000
Training Epoch: 6 [23040/48700]	Loss: 1.3929	LR: 0.100000
Training Epoch: 6 [23296/48700]	Loss: 1.4121	LR: 0.100000
Training Epoch: 6 [23552/48700]	Loss: 1.3110	LR: 0.100000
Training Epoch: 6 [23808/48700]	Loss: 1.3753	LR: 0.100000
Training Epoch: 6 [24064/48700]	Loss: 1.3674	LR: 0.100000
Training Epoch: 6 [24320/48700]	Loss: 1.2495	LR: 0.100000
Training Epoch: 6 [24576/48700]	Loss: 1.3041	LR: 0.100000
Training Epoch: 6 [24832/48700]	Loss: 1.3336	LR: 0.100000
Training Epoch: 6 [25088/48700]	Loss: 1.3939	LR: 0.100000
Training Epoch: 6 [25344/48700]	Loss: 1.3498	LR: 0.100000
Training Epoch: 6 [25600/48700]	Loss: 1.5447	LR: 0.100000
Training Epoch: 6 [25856/48700]	Loss: 1.3997	LR: 0.100000
Training Epoch: 6 [26112/48700]	Loss: 1.3405	LR: 0.100000
Training Epoch: 6 [26368/48700]	Loss: 1.5018	LR: 0.100000
Training Epoch: 6 [26624/48700]	Loss: 1.4102	LR: 0.100000
Training Epoch: 6 [26880/48700]	Loss: 1.4057	LR: 0.100000
Training Epoch: 6 [27136/48700]	Loss: 1.5302	LR: 0.100000
Training Epoch: 6 [27392/48700]	Loss: 1.4308	LR: 0.100000
Training Epoch: 6 [27648/48700]	Loss: 1.4067	LR: 0.100000
Training Epoch: 6 [27904/48700]	Loss: 1.4675	LR: 0.100000
Training Epoch: 6 [28160/48700]	Loss: 1.3793	LR: 0.100000
Training Epoch: 6 [28416/48700]	Loss: 1.3638	LR: 0.100000
Training Epoch: 6 [28672/48700]	Loss: 1.3356	LR: 0.100000
Training Epoch: 6 [28928/48700]	Loss: 1.3699	LR: 0.100000
Training Epoch: 6 [29184/48700]	Loss: 1.4530	LR: 0.100000
Training Epoch: 6 [29440/48700]	Loss: 1.3672	LR: 0.100000
Training Epoch: 6 [29696/48700]	Loss: 1.3637	LR: 0.100000
Training Epoch: 6 [29952/48700]	Loss: 1.3538	LR: 0.100000
Training Epoch: 6 [30208/48700]	Loss: 1.4423	LR: 0.100000
Training Epoch: 6 [30464/48700]	Loss: 1.3077	LR: 0.100000
Training Epoch: 6 [30720/48700]	Loss: 1.4701	LR: 0.100000
Training Epoch: 6 [30976/48700]	Loss: 1.4124	LR: 0.100000
Training Epoch: 6 [31232/48700]	Loss: 1.3526	LR: 0.100000
Training Epoch: 6 [31488/48700]	Loss: 1.4525	LR: 0.100000
Training Epoch: 6 [31744/48700]	Loss: 1.3729	LR: 0.100000
Training Epoch: 6 [32000/48700]	Loss: 1.4727	LR: 0.100000
Training Epoch: 6 [32256/48700]	Loss: 1.3590	LR: 0.100000
Training Epoch: 6 [32512/48700]	Loss: 1.1847	LR: 0.100000
Training Epoch: 6 [32768/48700]	Loss: 1.4588	LR: 0.100000
Training Epoch: 6 [33024/48700]	Loss: 1.3174	LR: 0.100000
Training Epoch: 6 [33280/48700]	Loss: 1.3110	LR: 0.100000
Training Epoch: 6 [33536/48700]	Loss: 1.2876	LR: 0.100000
Training Epoch: 6 [33792/48700]	Loss: 1.4141	LR: 0.100000
Training Epoch: 6 [34048/48700]	Loss: 1.3577	LR: 0.100000
Training Epoch: 6 [34304/48700]	Loss: 1.4481	LR: 0.100000
Training Epoch: 6 [34560/48700]	Loss: 1.4666	LR: 0.100000
Training Epoch: 6 [34816/48700]	Loss: 1.3297	LR: 0.100000
Training Epoch: 6 [35072/48700]	Loss: 1.4786	LR: 0.100000
Training Epoch: 6 [35328/48700]	Loss: 1.4297	LR: 0.100000
Training Epoch: 6 [35584/48700]	Loss: 1.3127	LR: 0.100000
Training Epoch: 6 [35840/48700]	Loss: 1.3897	LR: 0.100000
Training Epoch: 6 [36096/48700]	Loss: 1.3526	LR: 0.100000
Training Epoch: 6 [36352/48700]	Loss: 1.3456	LR: 0.100000
Training Epoch: 6 [36608/48700]	Loss: 1.5487	LR: 0.100000
Training Epoch: 6 [36864/48700]	Loss: 1.3373	LR: 0.100000
Training Epoch: 6 [37120/48700]	Loss: 1.4171	LR: 0.100000
Training Epoch: 6 [37376/48700]	Loss: 1.4452	LR: 0.100000
Training Epoch: 6 [37632/48700]	Loss: 1.2242	LR: 0.100000
Training Epoch: 6 [37888/48700]	Loss: 1.3936	LR: 0.100000
Training Epoch: 6 [38144/48700]	Loss: 1.3654	LR: 0.100000
Training Epoch: 6 [38400/48700]	Loss: 1.3745	LR: 0.100000
Training Epoch: 6 [38656/48700]	Loss: 1.3052	LR: 0.100000
Training Epoch: 6 [38912/48700]	Loss: 1.4122	LR: 0.100000
Training Epoch: 6 [39168/48700]	Loss: 1.4220	LR: 0.100000
Training Epoch: 6 [39424/48700]	Loss: 1.2973	LR: 0.100000
Training Epoch: 6 [39680/48700]	Loss: 1.5327	LR: 0.100000
Training Epoch: 6 [39936/48700]	Loss: 1.3025	LR: 0.100000
Training Epoch: 6 [40192/48700]	Loss: 1.5901	LR: 0.100000
Training Epoch: 6 [40448/48700]	Loss: 1.4018	LR: 0.100000
Training Epoch: 6 [40704/48700]	Loss: 1.5074	LR: 0.100000
Training Epoch: 6 [40960/48700]	Loss: 1.4557	LR: 0.100000
Training Epoch: 6 [41216/48700]	Loss: 1.4276	LR: 0.100000
Training Epoch: 6 [41472/48700]	Loss: 1.3666	LR: 0.100000
Training Epoch: 6 [41728/48700]	Loss: 1.5668	LR: 0.100000
Training Epoch: 6 [41984/48700]	Loss: 1.4962	LR: 0.100000
Training Epoch: 6 [42240/48700]	Loss: 1.3214	LR: 0.100000
Training Epoch: 6 [42496/48700]	Loss: 1.2266	LR: 0.100000
Training Epoch: 6 [42752/48700]	Loss: 1.3068	LR: 0.100000
Training Epoch: 6 [43008/48700]	Loss: 1.4207	LR: 0.100000
Training Epoch: 6 [43264/48700]	Loss: 1.4012	LR: 0.100000
Training Epoch: 6 [43520/48700]	Loss: 1.3731	LR: 0.100000
Training Epoch: 6 [43776/48700]	Loss: 1.4493	LR: 0.100000
Training Epoch: 6 [44032/48700]	Loss: 1.3614	LR: 0.100000
Training Epoch: 6 [44288/48700]	Loss: 1.2695	LR: 0.100000
Training Epoch: 6 [44544/48700]	Loss: 1.2679	LR: 0.100000
Training Epoch: 6 [44800/48700]	Loss: 1.3219	LR: 0.100000
Training Epoch: 6 [45056/48700]	Loss: 1.3023	LR: 0.100000
Training Epoch: 6 [45312/48700]	Loss: 1.2007	LR: 0.100000
Training Epoch: 6 [45568/48700]	Loss: 1.2128	LR: 0.100000
Training Epoch: 6 [45824/48700]	Loss: 1.3034	LR: 0.100000
Training Epoch: 6 [46080/48700]	Loss: 1.3744	LR: 0.100000
Training Epoch: 6 [46336/48700]	Loss: 1.4794	LR: 0.100000
Training Epoch: 6 [46592/48700]	Loss: 1.2505	LR: 0.100000
Training Epoch: 6 [46848/48700]	Loss: 1.2855	LR: 0.100000
Training Epoch: 6 [47104/48700]	Loss: 1.3493	LR: 0.100000
Training Epoch: 6 [47360/48700]	Loss: 1.2646	LR: 0.100000
Training Epoch: 6 [47616/48700]	Loss: 1.3874	LR: 0.100000
Training Epoch: 6 [47872/48700]	Loss: 1.3725	LR: 0.100000
Training Epoch: 6 [48128/48700]	Loss: 1.2062	LR: 0.100000
Training Epoch: 6 [48384/48700]	Loss: 1.2619	LR: 0.100000
Training Epoch: 6 [48640/48700]	Loss: 1.3872	LR: 0.100000
Training Epoch: 6 [48700/48700]	Loss: 1.3658	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3972, Train Accuracy: 0.5536
Epoch 6 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.5048, Time consumed:0.87s
Training Epoch: 7 [256/48700]	Loss: 1.3984	LR: 0.100000
Training Epoch: 7 [512/48700]	Loss: 1.3091	LR: 0.100000
Training Epoch: 7 [768/48700]	Loss: 1.4261	LR: 0.100000
Training Epoch: 7 [1024/48700]	Loss: 1.3381	LR: 0.100000
Training Epoch: 7 [1280/48700]	Loss: 1.4107	LR: 0.100000
Training Epoch: 7 [1536/48700]	Loss: 1.3685	LR: 0.100000
Training Epoch: 7 [1792/48700]	Loss: 1.2676	LR: 0.100000
Training Epoch: 7 [2048/48700]	Loss: 1.4042	LR: 0.100000
Training Epoch: 7 [2304/48700]	Loss: 1.3492	LR: 0.100000
Training Epoch: 7 [2560/48700]	Loss: 1.3245	LR: 0.100000
Training Epoch: 7 [2816/48700]	Loss: 1.2502	LR: 0.100000
Training Epoch: 7 [3072/48700]	Loss: 1.4635	LR: 0.100000
Training Epoch: 7 [3328/48700]	Loss: 1.3739	LR: 0.100000
Training Epoch: 7 [3584/48700]	Loss: 1.3845	LR: 0.100000
Training Epoch: 7 [3840/48700]	Loss: 1.2802	LR: 0.100000
Training Epoch: 7 [4096/48700]	Loss: 1.2388	LR: 0.100000
Training Epoch: 7 [4352/48700]	Loss: 1.1759	LR: 0.100000
Training Epoch: 7 [4608/48700]	Loss: 1.2714	LR: 0.100000
Training Epoch: 7 [4864/48700]	Loss: 1.4757	LR: 0.100000
Training Epoch: 7 [5120/48700]	Loss: 1.1691	LR: 0.100000
Training Epoch: 7 [5376/48700]	Loss: 1.2507	LR: 0.100000
Training Epoch: 7 [5632/48700]	Loss: 1.2273	LR: 0.100000
Training Epoch: 7 [5888/48700]	Loss: 1.4094	LR: 0.100000
Training Epoch: 7 [6144/48700]	Loss: 1.4796	LR: 0.100000
Training Epoch: 7 [6400/48700]	Loss: 1.2972	LR: 0.100000
Training Epoch: 7 [6656/48700]	Loss: 1.3746	LR: 0.100000
Training Epoch: 7 [6912/48700]	Loss: 1.3255	LR: 0.100000
Training Epoch: 7 [7168/48700]	Loss: 1.2980	LR: 0.100000
Training Epoch: 7 [7424/48700]	Loss: 1.4096	LR: 0.100000
Training Epoch: 7 [7680/48700]	Loss: 1.3434	LR: 0.100000
Training Epoch: 7 [7936/48700]	Loss: 1.2080	LR: 0.100000
Training Epoch: 7 [8192/48700]	Loss: 1.3159	LR: 0.100000
Training Epoch: 7 [8448/48700]	Loss: 1.2627	LR: 0.100000
Training Epoch: 7 [8704/48700]	Loss: 1.2467	LR: 0.100000
Training Epoch: 7 [8960/48700]	Loss: 1.4304	LR: 0.100000
Training Epoch: 7 [9216/48700]	Loss: 1.2878	LR: 0.100000
Training Epoch: 7 [9472/48700]	Loss: 1.4050	LR: 0.100000
Training Epoch: 7 [9728/48700]	Loss: 1.2755	LR: 0.100000
Training Epoch: 7 [9984/48700]	Loss: 1.1977	LR: 0.100000
Training Epoch: 7 [10240/48700]	Loss: 1.2789	LR: 0.100000
Training Epoch: 7 [10496/48700]	Loss: 1.2909	LR: 0.100000
Training Epoch: 7 [10752/48700]	Loss: 1.3463	LR: 0.100000
Training Epoch: 7 [11008/48700]	Loss: 1.4369	LR: 0.100000
Training Epoch: 7 [11264/48700]	Loss: 1.3134	LR: 0.100000
Training Epoch: 7 [11520/48700]	Loss: 1.1662	LR: 0.100000
Training Epoch: 7 [11776/48700]	Loss: 1.2212	LR: 0.100000
Training Epoch: 7 [12032/48700]	Loss: 1.2941	LR: 0.100000
Training Epoch: 7 [12288/48700]	Loss: 1.2842	LR: 0.100000
Training Epoch: 7 [12544/48700]	Loss: 1.4373	LR: 0.100000
Training Epoch: 7 [12800/48700]	Loss: 1.2727	LR: 0.100000
Training Epoch: 7 [13056/48700]	Loss: 1.3614	LR: 0.100000
Training Epoch: 7 [13312/48700]	Loss: 1.2775	LR: 0.100000
Training Epoch: 7 [13568/48700]	Loss: 1.3039	LR: 0.100000
Training Epoch: 7 [13824/48700]	Loss: 1.3857	LR: 0.100000
Training Epoch: 7 [14080/48700]	Loss: 1.1699	LR: 0.100000
Training Epoch: 7 [14336/48700]	Loss: 1.2314	LR: 0.100000
Training Epoch: 7 [14592/48700]	Loss: 1.2912	LR: 0.100000
Training Epoch: 7 [14848/48700]	Loss: 1.2674	LR: 0.100000
Training Epoch: 7 [15104/48700]	Loss: 1.1201	LR: 0.100000
Training Epoch: 7 [15360/48700]	Loss: 1.1790	LR: 0.100000
Training Epoch: 7 [15616/48700]	Loss: 1.2736	LR: 0.100000
Training Epoch: 7 [15872/48700]	Loss: 1.2314	LR: 0.100000
Training Epoch: 7 [16128/48700]	Loss: 1.4521	LR: 0.100000
Training Epoch: 7 [16384/48700]	Loss: 1.3158	LR: 0.100000
Training Epoch: 7 [16640/48700]	Loss: 1.2922	LR: 0.100000
Training Epoch: 7 [16896/48700]	Loss: 1.2704	LR: 0.100000
Training Epoch: 7 [17152/48700]	Loss: 1.4190	LR: 0.100000
Training Epoch: 7 [17408/48700]	Loss: 1.3121	LR: 0.100000
Training Epoch: 7 [17664/48700]	Loss: 1.2859	LR: 0.100000
Training Epoch: 7 [17920/48700]	Loss: 1.3505	LR: 0.100000
Training Epoch: 7 [18176/48700]	Loss: 1.3251	LR: 0.100000
Training Epoch: 7 [18432/48700]	Loss: 1.3759	LR: 0.100000
Training Epoch: 7 [18688/48700]	Loss: 1.4175	LR: 0.100000
Training Epoch: 7 [18944/48700]	Loss: 1.1796	LR: 0.100000
Training Epoch: 7 [19200/48700]	Loss: 1.2235	LR: 0.100000
Training Epoch: 7 [19456/48700]	Loss: 1.4071	LR: 0.100000
Training Epoch: 7 [19712/48700]	Loss: 1.3800	LR: 0.100000
Training Epoch: 7 [19968/48700]	Loss: 1.2584	LR: 0.100000
Training Epoch: 7 [20224/48700]	Loss: 1.2338	LR: 0.100000
Training Epoch: 7 [20480/48700]	Loss: 1.4040	LR: 0.100000
Training Epoch: 7 [20736/48700]	Loss: 1.2081	LR: 0.100000
Training Epoch: 7 [20992/48700]	Loss: 1.1580	LR: 0.100000
Training Epoch: 7 [21248/48700]	Loss: 1.1380	LR: 0.100000
Training Epoch: 7 [21504/48700]	Loss: 1.2427	LR: 0.100000
Training Epoch: 7 [21760/48700]	Loss: 1.4332	LR: 0.100000
Training Epoch: 7 [22016/48700]	Loss: 1.1900	LR: 0.100000
Training Epoch: 7 [22272/48700]	Loss: 1.1392	LR: 0.100000
Training Epoch: 7 [22528/48700]	Loss: 1.3312	LR: 0.100000
Training Epoch: 7 [22784/48700]	Loss: 1.1628	LR: 0.100000
Training Epoch: 7 [23040/48700]	Loss: 1.3285	LR: 0.100000
Training Epoch: 7 [23296/48700]	Loss: 1.1911	LR: 0.100000
Training Epoch: 7 [23552/48700]	Loss: 1.3460	LR: 0.100000
Training Epoch: 7 [23808/48700]	Loss: 1.3778	LR: 0.100000
Training Epoch: 7 [24064/48700]	Loss: 1.1407	LR: 0.100000
Training Epoch: 7 [24320/48700]	Loss: 1.2601	LR: 0.100000
Training Epoch: 7 [24576/48700]	Loss: 1.4066	LR: 0.100000
Training Epoch: 7 [24832/48700]	Loss: 1.1851	LR: 0.100000
Training Epoch: 7 [25088/48700]	Loss: 1.2938	LR: 0.100000
Training Epoch: 7 [25344/48700]	Loss: 1.2402	LR: 0.100000
Training Epoch: 7 [25600/48700]	Loss: 1.3794	LR: 0.100000
Training Epoch: 7 [25856/48700]	Loss: 1.2565	LR: 0.100000
Training Epoch: 7 [26112/48700]	Loss: 1.3150	LR: 0.100000
Training Epoch: 7 [26368/48700]	Loss: 1.3546	LR: 0.100000
Training Epoch: 7 [26624/48700]	Loss: 1.4865	LR: 0.100000
Training Epoch: 7 [26880/48700]	Loss: 1.3187	LR: 0.100000
Training Epoch: 7 [27136/48700]	Loss: 1.3755	LR: 0.100000
Training Epoch: 7 [27392/48700]	Loss: 1.3608	LR: 0.100000
Training Epoch: 7 [27648/48700]	Loss: 1.2423	LR: 0.100000
Training Epoch: 7 [27904/48700]	Loss: 1.2691	LR: 0.100000
Training Epoch: 7 [28160/48700]	Loss: 1.4278	LR: 0.100000
Training Epoch: 7 [28416/48700]	Loss: 1.3545	LR: 0.100000
Training Epoch: 7 [28672/48700]	Loss: 1.3425	LR: 0.100000
Training Epoch: 7 [28928/48700]	Loss: 1.3594	LR: 0.100000
Training Epoch: 7 [29184/48700]	Loss: 1.3125	LR: 0.100000
Training Epoch: 7 [29440/48700]	Loss: 1.3317	LR: 0.100000
Training Epoch: 7 [29696/48700]	Loss: 1.3117	LR: 0.100000
Training Epoch: 7 [29952/48700]	Loss: 1.2445	LR: 0.100000
Training Epoch: 7 [30208/48700]	Loss: 1.3942	LR: 0.100000
Training Epoch: 7 [30464/48700]	Loss: 1.1210	LR: 0.100000
Training Epoch: 7 [30720/48700]	Loss: 1.4180	LR: 0.100000
Training Epoch: 7 [30976/48700]	Loss: 1.1433	LR: 0.100000
Training Epoch: 7 [31232/48700]	Loss: 1.3959	LR: 0.100000
Training Epoch: 7 [31488/48700]	Loss: 1.2644	LR: 0.100000
Training Epoch: 7 [31744/48700]	Loss: 1.2244	LR: 0.100000
Training Epoch: 7 [32000/48700]	Loss: 1.2756	LR: 0.100000
Training Epoch: 7 [32256/48700]	Loss: 1.2134	LR: 0.100000
Training Epoch: 7 [32512/48700]	Loss: 1.3711	LR: 0.100000
Training Epoch: 7 [32768/48700]	Loss: 1.2800	LR: 0.100000
Training Epoch: 7 [33024/48700]	Loss: 1.1854	LR: 0.100000
Training Epoch: 7 [33280/48700]	Loss: 1.3001	LR: 0.100000
Training Epoch: 7 [33536/48700]	Loss: 1.3202	LR: 0.100000
Training Epoch: 7 [33792/48700]	Loss: 1.2139	LR: 0.100000
Training Epoch: 7 [34048/48700]	Loss: 1.2242	LR: 0.100000
Training Epoch: 7 [34304/48700]	Loss: 1.2920	LR: 0.100000
Training Epoch: 7 [34560/48700]	Loss: 1.2731	LR: 0.100000
Training Epoch: 7 [34816/48700]	Loss: 1.3606	LR: 0.100000
Training Epoch: 7 [35072/48700]	Loss: 1.2920	LR: 0.100000
Training Epoch: 7 [35328/48700]	Loss: 1.3833	LR: 0.100000
Training Epoch: 7 [35584/48700]	Loss: 1.2849	LR: 0.100000
Training Epoch: 7 [35840/48700]	Loss: 1.5577	LR: 0.100000
Training Epoch: 7 [36096/48700]	Loss: 1.2057	LR: 0.100000
Training Epoch: 7 [36352/48700]	Loss: 1.2861	LR: 0.100000
Training Epoch: 7 [36608/48700]	Loss: 1.3492	LR: 0.100000
Training Epoch: 7 [36864/48700]	Loss: 1.1964	LR: 0.100000
Training Epoch: 7 [37120/48700]	Loss: 1.2500	LR: 0.100000
Training Epoch: 7 [37376/48700]	Loss: 1.1846	LR: 0.100000
Training Epoch: 7 [37632/48700]	Loss: 1.1378	LR: 0.100000
Training Epoch: 7 [37888/48700]	Loss: 1.2146	LR: 0.100000
Training Epoch: 7 [38144/48700]	Loss: 1.1995	LR: 0.100000
Training Epoch: 7 [38400/48700]	Loss: 1.1530	LR: 0.100000
Training Epoch: 7 [38656/48700]	Loss: 1.2309	LR: 0.100000
Training Epoch: 7 [38912/48700]	Loss: 1.3544	LR: 0.100000
Training Epoch: 7 [39168/48700]	Loss: 1.2656	LR: 0.100000
Training Epoch: 7 [39424/48700]	Loss: 1.1732	LR: 0.100000
Training Epoch: 7 [39680/48700]	Loss: 1.3053	LR: 0.100000
Training Epoch: 7 [39936/48700]	Loss: 1.2737	LR: 0.100000
Training Epoch: 7 [40192/48700]	Loss: 1.0853	LR: 0.100000
Training Epoch: 7 [40448/48700]	Loss: 1.2170	LR: 0.100000
Training Epoch: 7 [40704/48700]	Loss: 1.1496	LR: 0.100000
Training Epoch: 7 [40960/48700]	Loss: 1.3480	LR: 0.100000
Training Epoch: 7 [41216/48700]	Loss: 1.3171	LR: 0.100000
Training Epoch: 7 [41472/48700]	Loss: 1.2736	LR: 0.100000
Training Epoch: 7 [41728/48700]	Loss: 1.2115	LR: 0.100000
Training Epoch: 7 [41984/48700]	Loss: 1.2494	LR: 0.100000
Training Epoch: 7 [42240/48700]	Loss: 1.1805	LR: 0.100000
Training Epoch: 7 [42496/48700]	Loss: 1.2993	LR: 0.100000
Training Epoch: 7 [42752/48700]	Loss: 1.2210	LR: 0.100000
Training Epoch: 7 [43008/48700]	Loss: 1.2511	LR: 0.100000
Training Epoch: 7 [43264/48700]	Loss: 1.2429	LR: 0.100000
Training Epoch: 7 [43520/48700]	Loss: 1.1661	LR: 0.100000
Training Epoch: 7 [43776/48700]	Loss: 1.3332	LR: 0.100000
Training Epoch: 7 [44032/48700]	Loss: 1.3064	LR: 0.100000
Training Epoch: 7 [44288/48700]	Loss: 1.4765	LR: 0.100000
Training Epoch: 7 [44544/48700]	Loss: 1.2247	LR: 0.100000
Training Epoch: 7 [44800/48700]	Loss: 1.1164	LR: 0.100000
Training Epoch: 7 [45056/48700]	Loss: 1.2344	LR: 0.100000
Training Epoch: 7 [45312/48700]	Loss: 1.2905	LR: 0.100000
Training Epoch: 7 [45568/48700]	Loss: 1.2570	LR: 0.100000
Training Epoch: 7 [45824/48700]	Loss: 1.2832	LR: 0.100000
Training Epoch: 7 [46080/48700]	Loss: 1.1551	LR: 0.100000
Training Epoch: 7 [46336/48700]	Loss: 1.3994	LR: 0.100000
Training Epoch: 7 [46592/48700]	Loss: 1.2397	LR: 0.100000
Training Epoch: 7 [46848/48700]	Loss: 1.2216	LR: 0.100000
Training Epoch: 7 [47104/48700]	Loss: 1.1745	LR: 0.100000
Training Epoch: 7 [47360/48700]	Loss: 1.3626	LR: 0.100000
Training Epoch: 7 [47616/48700]	Loss: 1.2805	LR: 0.100000
Training Epoch: 7 [47872/48700]	Loss: 1.2319	LR: 0.100000
Training Epoch: 7 [48128/48700]	Loss: 1.2834	LR: 0.100000
Training Epoch: 7 [48384/48700]	Loss: 1.2824	LR: 0.100000
Training Epoch: 7 [48640/48700]	Loss: 1.3254	LR: 0.100000
Training Epoch: 7 [48700/48700]	Loss: 1.1093	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2900, Train Accuracy: 0.5845
Epoch 7 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0057, Accuracy: 0.5499, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.2802	LR: 0.100000
Training Epoch: 8 [512/48700]	Loss: 1.2259	LR: 0.100000
Training Epoch: 8 [768/48700]	Loss: 1.3187	LR: 0.100000
Training Epoch: 8 [1024/48700]	Loss: 1.0251	LR: 0.100000
Training Epoch: 8 [1280/48700]	Loss: 1.2197	LR: 0.100000
Training Epoch: 8 [1536/48700]	Loss: 1.2129	LR: 0.100000
Training Epoch: 8 [1792/48700]	Loss: 1.1874	LR: 0.100000
Training Epoch: 8 [2048/48700]	Loss: 1.2845	LR: 0.100000
Training Epoch: 8 [2304/48700]	Loss: 1.2440	LR: 0.100000
Training Epoch: 8 [2560/48700]	Loss: 1.2609	LR: 0.100000
Training Epoch: 8 [2816/48700]	Loss: 1.1812	LR: 0.100000
Training Epoch: 8 [3072/48700]	Loss: 1.1544	LR: 0.100000
Training Epoch: 8 [3328/48700]	Loss: 1.1594	LR: 0.100000
Training Epoch: 8 [3584/48700]	Loss: 1.1912	LR: 0.100000
Training Epoch: 8 [3840/48700]	Loss: 1.2119	LR: 0.100000
Training Epoch: 8 [4096/48700]	Loss: 1.2898	LR: 0.100000
Training Epoch: 8 [4352/48700]	Loss: 1.2336	LR: 0.100000
Training Epoch: 8 [4608/48700]	Loss: 1.2577	LR: 0.100000
Training Epoch: 8 [4864/48700]	Loss: 1.2291	LR: 0.100000
Training Epoch: 8 [5120/48700]	Loss: 1.1653	LR: 0.100000
Training Epoch: 8 [5376/48700]	Loss: 1.2858	LR: 0.100000
Training Epoch: 8 [5632/48700]	Loss: 1.3104	LR: 0.100000
Training Epoch: 8 [5888/48700]	Loss: 1.3263	LR: 0.100000
Training Epoch: 8 [6144/48700]	Loss: 1.1993	LR: 0.100000
Training Epoch: 8 [6400/48700]	Loss: 1.2961	LR: 0.100000
Training Epoch: 8 [6656/48700]	Loss: 1.3504	LR: 0.100000
Training Epoch: 8 [6912/48700]	Loss: 1.2090	LR: 0.100000
Training Epoch: 8 [7168/48700]	Loss: 1.2733	LR: 0.100000
Training Epoch: 8 [7424/48700]	Loss: 1.2696	LR: 0.100000
Training Epoch: 8 [7680/48700]	Loss: 1.0558	LR: 0.100000
Training Epoch: 8 [7936/48700]	Loss: 1.1597	LR: 0.100000
Training Epoch: 8 [8192/48700]	Loss: 1.0984	LR: 0.100000
Training Epoch: 8 [8448/48700]	Loss: 1.2348	LR: 0.100000
Training Epoch: 8 [8704/48700]	Loss: 1.0956	LR: 0.100000
Training Epoch: 8 [8960/48700]	Loss: 1.2502	LR: 0.100000
Training Epoch: 8 [9216/48700]	Loss: 1.1294	LR: 0.100000
Training Epoch: 8 [9472/48700]	Loss: 1.2441	LR: 0.100000
Training Epoch: 8 [9728/48700]	Loss: 1.2206	LR: 0.100000
Training Epoch: 8 [9984/48700]	Loss: 1.2096	LR: 0.100000
Training Epoch: 8 [10240/48700]	Loss: 1.0966	LR: 0.100000
Training Epoch: 8 [10496/48700]	Loss: 1.2100	LR: 0.100000
Training Epoch: 8 [10752/48700]	Loss: 1.0204	LR: 0.100000
Training Epoch: 8 [11008/48700]	Loss: 1.1921	LR: 0.100000
Training Epoch: 8 [11264/48700]	Loss: 1.0385	LR: 0.100000
Training Epoch: 8 [11520/48700]	Loss: 1.2268	LR: 0.100000
Training Epoch: 8 [11776/48700]	Loss: 1.2285	LR: 0.100000
Training Epoch: 8 [12032/48700]	Loss: 1.2434	LR: 0.100000
Training Epoch: 8 [12288/48700]	Loss: 1.1436	LR: 0.100000
Training Epoch: 8 [12544/48700]	Loss: 1.2559	LR: 0.100000
Training Epoch: 8 [12800/48700]	Loss: 1.2796	LR: 0.100000
Training Epoch: 8 [13056/48700]	Loss: 1.0830	LR: 0.100000
Training Epoch: 8 [13312/48700]	Loss: 1.2013	LR: 0.100000
Training Epoch: 8 [13568/48700]	Loss: 1.2949	LR: 0.100000
Training Epoch: 8 [13824/48700]	Loss: 1.2168	LR: 0.100000
Training Epoch: 8 [14080/48700]	Loss: 1.1916	LR: 0.100000
Training Epoch: 8 [14336/48700]	Loss: 1.2207	LR: 0.100000
Training Epoch: 8 [14592/48700]	Loss: 1.3209	LR: 0.100000
Training Epoch: 8 [14848/48700]	Loss: 1.1512	LR: 0.100000
Training Epoch: 8 [15104/48700]	Loss: 1.2563	LR: 0.100000
Training Epoch: 8 [15360/48700]	Loss: 1.3048	LR: 0.100000
Training Epoch: 8 [15616/48700]	Loss: 1.2046	LR: 0.100000
Training Epoch: 8 [15872/48700]	Loss: 1.0863	LR: 0.100000
Training Epoch: 8 [16128/48700]	Loss: 1.0711	LR: 0.100000
Training Epoch: 8 [16384/48700]	Loss: 1.1930	LR: 0.100000
Training Epoch: 8 [16640/48700]	Loss: 1.2513	LR: 0.100000
Training Epoch: 8 [16896/48700]	Loss: 1.2154	LR: 0.100000
Training Epoch: 8 [17152/48700]	Loss: 1.2467	LR: 0.100000
Training Epoch: 8 [17408/48700]	Loss: 1.1942	LR: 0.100000
Training Epoch: 8 [17664/48700]	Loss: 1.3799	LR: 0.100000
Training Epoch: 8 [17920/48700]	Loss: 1.1199	LR: 0.100000
Training Epoch: 8 [18176/48700]	Loss: 1.2063	LR: 0.100000
Training Epoch: 8 [18432/48700]	Loss: 1.2558	LR: 0.100000
Training Epoch: 8 [18688/48700]	Loss: 1.2703	LR: 0.100000
Training Epoch: 8 [18944/48700]	Loss: 1.0338	LR: 0.100000
Training Epoch: 8 [19200/48700]	Loss: 1.2493	LR: 0.100000
Training Epoch: 8 [19456/48700]	Loss: 1.2148	LR: 0.100000
Training Epoch: 8 [19712/48700]	Loss: 1.3207	LR: 0.100000
Training Epoch: 8 [19968/48700]	Loss: 1.1906	LR: 0.100000
Training Epoch: 8 [20224/48700]	Loss: 1.1465	LR: 0.100000
Training Epoch: 8 [20480/48700]	Loss: 1.0801	LR: 0.100000
Training Epoch: 8 [20736/48700]	Loss: 1.1145	LR: 0.100000
Training Epoch: 8 [20992/48700]	Loss: 1.2477	LR: 0.100000
Training Epoch: 8 [21248/48700]	Loss: 1.1826	LR: 0.100000
Training Epoch: 8 [21504/48700]	Loss: 1.0677	LR: 0.100000
Training Epoch: 8 [21760/48700]	Loss: 1.2586	LR: 0.100000
Training Epoch: 8 [22016/48700]	Loss: 1.2248	LR: 0.100000
Training Epoch: 8 [22272/48700]	Loss: 1.2065	LR: 0.100000
Training Epoch: 8 [22528/48700]	Loss: 1.2345	LR: 0.100000
Training Epoch: 8 [22784/48700]	Loss: 1.1205	LR: 0.100000
Training Epoch: 8 [23040/48700]	Loss: 1.3194	LR: 0.100000
Training Epoch: 8 [23296/48700]	Loss: 1.2512	LR: 0.100000
Training Epoch: 8 [23552/48700]	Loss: 1.1805	LR: 0.100000
Training Epoch: 8 [23808/48700]	Loss: 1.2615	LR: 0.100000
Training Epoch: 8 [24064/48700]	Loss: 1.0425	LR: 0.100000
Training Epoch: 8 [24320/48700]	Loss: 1.3664	LR: 0.100000
Training Epoch: 8 [24576/48700]	Loss: 1.3171	LR: 0.100000
Training Epoch: 8 [24832/48700]	Loss: 1.2605	LR: 0.100000
Training Epoch: 8 [25088/48700]	Loss: 1.2019	LR: 0.100000
Training Epoch: 8 [25344/48700]	Loss: 1.2011	LR: 0.100000
Training Epoch: 8 [25600/48700]	Loss: 1.3072	LR: 0.100000
Training Epoch: 8 [25856/48700]	Loss: 1.2435	LR: 0.100000
Training Epoch: 8 [26112/48700]	Loss: 1.3244	LR: 0.100000
Training Epoch: 8 [26368/48700]	Loss: 1.2271	LR: 0.100000
Training Epoch: 8 [26624/48700]	Loss: 1.1731	LR: 0.100000
Training Epoch: 8 [26880/48700]	Loss: 1.2098	LR: 0.100000
Training Epoch: 8 [27136/48700]	Loss: 1.1794	LR: 0.100000
Training Epoch: 8 [27392/48700]	Loss: 1.1867	LR: 0.100000
Training Epoch: 8 [27648/48700]	Loss: 1.1955	LR: 0.100000
Training Epoch: 8 [27904/48700]	Loss: 1.1990	LR: 0.100000
Training Epoch: 8 [28160/48700]	Loss: 1.1695	LR: 0.100000
Training Epoch: 8 [28416/48700]	Loss: 1.1000	LR: 0.100000
Training Epoch: 8 [28672/48700]	Loss: 1.2488	LR: 0.100000
Training Epoch: 8 [28928/48700]	Loss: 1.2302	LR: 0.100000
Training Epoch: 8 [29184/48700]	Loss: 1.1985	LR: 0.100000
Training Epoch: 8 [29440/48700]	Loss: 1.1672	LR: 0.100000
Training Epoch: 8 [29696/48700]	Loss: 1.1980	LR: 0.100000
Training Epoch: 8 [29952/48700]	Loss: 1.2622	LR: 0.100000
Training Epoch: 8 [30208/48700]	Loss: 1.2033	LR: 0.100000
Training Epoch: 8 [30464/48700]	Loss: 1.2821	LR: 0.100000
Training Epoch: 8 [30720/48700]	Loss: 1.2900	LR: 0.100000
Training Epoch: 8 [30976/48700]	Loss: 1.0107	LR: 0.100000
Training Epoch: 8 [31232/48700]	Loss: 1.0904	LR: 0.100000
Training Epoch: 8 [31488/48700]	Loss: 1.1251	LR: 0.100000
Training Epoch: 8 [31744/48700]	Loss: 1.1377	LR: 0.100000
Training Epoch: 8 [32000/48700]	Loss: 1.1537	LR: 0.100000
Training Epoch: 8 [32256/48700]	Loss: 1.1351	LR: 0.100000
Training Epoch: 8 [32512/48700]	Loss: 1.2775	LR: 0.100000
Training Epoch: 8 [32768/48700]	Loss: 1.3018	LR: 0.100000
Training Epoch: 8 [33024/48700]	Loss: 1.1625	LR: 0.100000
Training Epoch: 8 [33280/48700]	Loss: 1.1964	LR: 0.100000
Training Epoch: 8 [33536/48700]	Loss: 1.0699	LR: 0.100000
Training Epoch: 8 [33792/48700]	Loss: 1.1297	LR: 0.100000
Training Epoch: 8 [34048/48700]	Loss: 1.1762	LR: 0.100000
Training Epoch: 8 [34304/48700]	Loss: 1.1542	LR: 0.100000
Training Epoch: 8 [34560/48700]	Loss: 1.0960	LR: 0.100000
Training Epoch: 8 [34816/48700]	Loss: 1.2412	LR: 0.100000
Training Epoch: 8 [35072/48700]	Loss: 1.2338	LR: 0.100000
Training Epoch: 8 [35328/48700]	Loss: 1.1702	LR: 0.100000
Training Epoch: 8 [35584/48700]	Loss: 1.2259	LR: 0.100000
Training Epoch: 8 [35840/48700]	Loss: 1.1688	LR: 0.100000
Training Epoch: 8 [36096/48700]	Loss: 1.0810	LR: 0.100000
Training Epoch: 8 [36352/48700]	Loss: 1.0641	LR: 0.100000
Training Epoch: 8 [36608/48700]	Loss: 1.0481	LR: 0.100000
Training Epoch: 8 [36864/48700]	Loss: 1.1568	LR: 0.100000
Training Epoch: 8 [37120/48700]	Loss: 1.1636	LR: 0.100000
Training Epoch: 8 [37376/48700]	Loss: 1.1842	LR: 0.100000
Training Epoch: 8 [37632/48700]	Loss: 1.2539	LR: 0.100000
Training Epoch: 8 [37888/48700]	Loss: 1.1007	LR: 0.100000
Training Epoch: 8 [38144/48700]	Loss: 1.1598	LR: 0.100000
Training Epoch: 8 [38400/48700]	Loss: 1.0336	LR: 0.100000
Training Epoch: 8 [38656/48700]	Loss: 1.1852	LR: 0.100000
Training Epoch: 8 [38912/48700]	Loss: 1.0686	LR: 0.100000
Training Epoch: 8 [39168/48700]	Loss: 1.1638	LR: 0.100000
Training Epoch: 8 [39424/48700]	Loss: 1.0937	LR: 0.100000
Training Epoch: 8 [39680/48700]	Loss: 1.2335	LR: 0.100000
Training Epoch: 8 [39936/48700]	Loss: 1.2418	LR: 0.100000
Training Epoch: 8 [40192/48700]	Loss: 1.1456	LR: 0.100000
Training Epoch: 8 [40448/48700]	Loss: 1.3115	LR: 0.100000
Training Epoch: 8 [40704/48700]	Loss: 1.1407	LR: 0.100000
Training Epoch: 8 [40960/48700]	Loss: 1.1203	LR: 0.100000
Training Epoch: 8 [41216/48700]	Loss: 1.1983	LR: 0.100000
Training Epoch: 8 [41472/48700]	Loss: 1.1496	LR: 0.100000
Training Epoch: 8 [41728/48700]	Loss: 1.3103	LR: 0.100000
Training Epoch: 8 [41984/48700]	Loss: 1.2362	LR: 0.100000
Training Epoch: 8 [42240/48700]	Loss: 1.0989	LR: 0.100000
Training Epoch: 8 [42496/48700]	Loss: 1.1641	LR: 0.100000
Training Epoch: 8 [42752/48700]	Loss: 1.1401	LR: 0.100000
Training Epoch: 8 [43008/48700]	Loss: 1.2465	LR: 0.100000
Training Epoch: 8 [43264/48700]	Loss: 1.1894	LR: 0.100000
Training Epoch: 8 [43520/48700]	Loss: 1.1267	LR: 0.100000
Training Epoch: 8 [43776/48700]	Loss: 1.1493	LR: 0.100000
Training Epoch: 8 [44032/48700]	Loss: 1.1521	LR: 0.100000
Training Epoch: 8 [44288/48700]	Loss: 1.1636	LR: 0.100000
Training Epoch: 8 [44544/48700]	Loss: 1.2005	LR: 0.100000
Training Epoch: 8 [44800/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 8 [45056/48700]	Loss: 1.2539	LR: 0.100000
Training Epoch: 8 [45312/48700]	Loss: 1.1827	LR: 0.100000
Training Epoch: 8 [45568/48700]	Loss: 1.1833	LR: 0.100000
Training Epoch: 8 [45824/48700]	Loss: 1.2523	LR: 0.100000
Training Epoch: 8 [46080/48700]	Loss: 1.2047	LR: 0.100000
Training Epoch: 8 [46336/48700]	Loss: 1.1153	LR: 0.100000
Training Epoch: 8 [46592/48700]	Loss: 1.0737	LR: 0.100000
Training Epoch: 8 [46848/48700]	Loss: 1.1642	LR: 0.100000
Training Epoch: 8 [47104/48700]	Loss: 1.0344	LR: 0.100000
Training Epoch: 8 [47360/48700]	Loss: 1.1900	LR: 0.100000
Training Epoch: 8 [47616/48700]	Loss: 1.2040	LR: 0.100000
Training Epoch: 8 [47872/48700]	Loss: 1.2059	LR: 0.100000
Training Epoch: 8 [48128/48700]	Loss: 1.0543	LR: 0.100000
Training Epoch: 8 [48384/48700]	Loss: 1.3034	LR: 0.100000
Training Epoch: 8 [48640/48700]	Loss: 1.1564	LR: 0.100000
Training Epoch: 8 [48700/48700]	Loss: 1.3866	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1936, Train Accuracy: 0.6168
Epoch 8 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0050, Accuracy: 0.6118, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.2065	LR: 0.100000
Training Epoch: 9 [512/48700]	Loss: 1.0627	LR: 0.100000
Training Epoch: 9 [768/48700]	Loss: 1.0310	LR: 0.100000
Training Epoch: 9 [1024/48700]	Loss: 1.1845	LR: 0.100000
Training Epoch: 9 [1280/48700]	Loss: 1.3227	LR: 0.100000
Training Epoch: 9 [1536/48700]	Loss: 1.1708	LR: 0.100000
Training Epoch: 9 [1792/48700]	Loss: 1.1741	LR: 0.100000
Training Epoch: 9 [2048/48700]	Loss: 1.1362	LR: 0.100000
Training Epoch: 9 [2304/48700]	Loss: 1.1544	LR: 0.100000
Training Epoch: 9 [2560/48700]	Loss: 1.0935	LR: 0.100000
Training Epoch: 9 [2816/48700]	Loss: 1.2155	LR: 0.100000
Training Epoch: 9 [3072/48700]	Loss: 1.1018	LR: 0.100000
Training Epoch: 9 [3328/48700]	Loss: 0.9755	LR: 0.100000
Training Epoch: 9 [3584/48700]	Loss: 1.1822	LR: 0.100000
Training Epoch: 9 [3840/48700]	Loss: 1.1396	LR: 0.100000
Training Epoch: 9 [4096/48700]	Loss: 1.1060	LR: 0.100000
Training Epoch: 9 [4352/48700]	Loss: 1.1411	LR: 0.100000
Training Epoch: 9 [4608/48700]	Loss: 1.2820	LR: 0.100000
Training Epoch: 9 [4864/48700]	Loss: 1.1433	LR: 0.100000
Training Epoch: 9 [5120/48700]	Loss: 1.2127	LR: 0.100000
Training Epoch: 9 [5376/48700]	Loss: 1.1064	LR: 0.100000
Training Epoch: 9 [5632/48700]	Loss: 1.1648	LR: 0.100000
Training Epoch: 9 [5888/48700]	Loss: 1.1813	LR: 0.100000
Training Epoch: 9 [6144/48700]	Loss: 1.0513	LR: 0.100000
Training Epoch: 9 [6400/48700]	Loss: 1.0752	LR: 0.100000
Training Epoch: 9 [6656/48700]	Loss: 1.2008	LR: 0.100000
Training Epoch: 9 [6912/48700]	Loss: 1.1322	LR: 0.100000
Training Epoch: 9 [7168/48700]	Loss: 1.1893	LR: 0.100000
Training Epoch: 9 [7424/48700]	Loss: 1.2382	LR: 0.100000
Training Epoch: 9 [7680/48700]	Loss: 1.0831	LR: 0.100000
Training Epoch: 9 [7936/48700]	Loss: 1.1159	LR: 0.100000
Training Epoch: 9 [8192/48700]	Loss: 1.1812	LR: 0.100000
Training Epoch: 9 [8448/48700]	Loss: 0.9349	LR: 0.100000
Training Epoch: 9 [8704/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 9 [8960/48700]	Loss: 1.1444	LR: 0.100000
Training Epoch: 9 [9216/48700]	Loss: 1.0584	LR: 0.100000
Training Epoch: 9 [9472/48700]	Loss: 1.2704	LR: 0.100000
Training Epoch: 9 [9728/48700]	Loss: 1.0897	LR: 0.100000
Training Epoch: 9 [9984/48700]	Loss: 1.0652	LR: 0.100000
Training Epoch: 9 [10240/48700]	Loss: 1.0004	LR: 0.100000
Training Epoch: 9 [10496/48700]	Loss: 0.9979	LR: 0.100000
Training Epoch: 9 [10752/48700]	Loss: 1.0160	LR: 0.100000
Training Epoch: 9 [11008/48700]	Loss: 1.1721	LR: 0.100000
Training Epoch: 9 [11264/48700]	Loss: 1.1510	LR: 0.100000
Training Epoch: 9 [11520/48700]	Loss: 0.9960	LR: 0.100000
Training Epoch: 9 [11776/48700]	Loss: 1.2430	LR: 0.100000
Training Epoch: 9 [12032/48700]	Loss: 1.0617	LR: 0.100000
Training Epoch: 9 [12288/48700]	Loss: 1.1231	LR: 0.100000
Training Epoch: 9 [12544/48700]	Loss: 1.1055	LR: 0.100000
Training Epoch: 9 [12800/48700]	Loss: 1.0936	LR: 0.100000
Training Epoch: 9 [13056/48700]	Loss: 1.1377	LR: 0.100000
Training Epoch: 9 [13312/48700]	Loss: 1.0580	LR: 0.100000
Training Epoch: 9 [13568/48700]	Loss: 1.1353	LR: 0.100000
Training Epoch: 9 [13824/48700]	Loss: 1.2012	LR: 0.100000
Training Epoch: 9 [14080/48700]	Loss: 0.9976	LR: 0.100000
Training Epoch: 9 [14336/48700]	Loss: 1.1435	LR: 0.100000
Training Epoch: 9 [14592/48700]	Loss: 1.2178	LR: 0.100000
Training Epoch: 9 [14848/48700]	Loss: 1.1149	LR: 0.100000
Training Epoch: 9 [15104/48700]	Loss: 1.1829	LR: 0.100000
Training Epoch: 9 [15360/48700]	Loss: 1.2146	LR: 0.100000
Training Epoch: 9 [15616/48700]	Loss: 1.0764	LR: 0.100000
Training Epoch: 9 [15872/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 9 [16128/48700]	Loss: 1.0189	LR: 0.100000
Training Epoch: 9 [16384/48700]	Loss: 1.1186	LR: 0.100000
Training Epoch: 9 [16640/48700]	Loss: 1.2250	LR: 0.100000
Training Epoch: 9 [16896/48700]	Loss: 0.9946	LR: 0.100000
Training Epoch: 9 [17152/48700]	Loss: 1.0995	LR: 0.100000
Training Epoch: 9 [17408/48700]	Loss: 1.1057	LR: 0.100000
Training Epoch: 9 [17664/48700]	Loss: 1.2424	LR: 0.100000
Training Epoch: 9 [17920/48700]	Loss: 1.4099	LR: 0.100000
Training Epoch: 9 [18176/48700]	Loss: 1.0467	LR: 0.100000
Training Epoch: 9 [18432/48700]	Loss: 1.1422	LR: 0.100000
Training Epoch: 9 [18688/48700]	Loss: 1.0632	LR: 0.100000
Training Epoch: 9 [18944/48700]	Loss: 1.0166	LR: 0.100000
Training Epoch: 9 [19200/48700]	Loss: 1.0049	LR: 0.100000
Training Epoch: 9 [19456/48700]	Loss: 1.0429	LR: 0.100000
Training Epoch: 9 [19712/48700]	Loss: 0.9748	LR: 0.100000
Training Epoch: 9 [19968/48700]	Loss: 1.0686	LR: 0.100000
Training Epoch: 9 [20224/48700]	Loss: 1.0546	LR: 0.100000
Training Epoch: 9 [20480/48700]	Loss: 1.0775	LR: 0.100000
Training Epoch: 9 [20736/48700]	Loss: 1.1032	LR: 0.100000
Training Epoch: 9 [20992/48700]	Loss: 1.0409	LR: 0.100000
Training Epoch: 9 [21248/48700]	Loss: 1.0190	LR: 0.100000
Training Epoch: 9 [21504/48700]	Loss: 1.1886	LR: 0.100000
Training Epoch: 9 [21760/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 9 [22016/48700]	Loss: 1.0362	LR: 0.100000
Training Epoch: 9 [22272/48700]	Loss: 0.9351	LR: 0.100000
Training Epoch: 9 [22528/48700]	Loss: 1.1715	LR: 0.100000
Training Epoch: 9 [22784/48700]	Loss: 1.0631	LR: 0.100000
Training Epoch: 9 [23040/48700]	Loss: 1.1225	LR: 0.100000
Training Epoch: 9 [23296/48700]	Loss: 0.9612	LR: 0.100000
Training Epoch: 9 [23552/48700]	Loss: 1.2293	LR: 0.100000
Training Epoch: 9 [23808/48700]	Loss: 1.0155	LR: 0.100000
Training Epoch: 9 [24064/48700]	Loss: 1.1873	LR: 0.100000
Training Epoch: 9 [24320/48700]	Loss: 1.1708	LR: 0.100000
Training Epoch: 9 [24576/48700]	Loss: 1.2045	LR: 0.100000
Training Epoch: 9 [24832/48700]	Loss: 1.0177	LR: 0.100000
Training Epoch: 9 [25088/48700]	Loss: 1.0647	LR: 0.100000
Training Epoch: 9 [25344/48700]	Loss: 1.0076	LR: 0.100000
Training Epoch: 9 [25600/48700]	Loss: 1.1612	LR: 0.100000
Training Epoch: 9 [25856/48700]	Loss: 1.1100	LR: 0.100000
Training Epoch: 9 [26112/48700]	Loss: 1.1084	LR: 0.100000
Training Epoch: 9 [26368/48700]	Loss: 1.1190	LR: 0.100000
Training Epoch: 9 [26624/48700]	Loss: 1.0818	LR: 0.100000
Training Epoch: 9 [26880/48700]	Loss: 1.0422	LR: 0.100000
Training Epoch: 9 [27136/48700]	Loss: 1.1535	LR: 0.100000
Training Epoch: 9 [27392/48700]	Loss: 1.2242	LR: 0.100000
Training Epoch: 9 [27648/48700]	Loss: 1.0566	LR: 0.100000
Training Epoch: 9 [27904/48700]	Loss: 1.2438	LR: 0.100000
Training Epoch: 9 [28160/48700]	Loss: 1.1763	LR: 0.100000
Training Epoch: 9 [28416/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 9 [28672/48700]	Loss: 0.9708	LR: 0.100000
Training Epoch: 9 [28928/48700]	Loss: 1.1421	LR: 0.100000
Training Epoch: 9 [29184/48700]	Loss: 1.1453	LR: 0.100000
Training Epoch: 9 [29440/48700]	Loss: 1.0265	LR: 0.100000
Training Epoch: 9 [29696/48700]	Loss: 1.1269	LR: 0.100000
Training Epoch: 9 [29952/48700]	Loss: 1.0897	LR: 0.100000
Training Epoch: 9 [30208/48700]	Loss: 1.2077	LR: 0.100000
Training Epoch: 9 [30464/48700]	Loss: 1.0905	LR: 0.100000
Training Epoch: 9 [30720/48700]	Loss: 1.0836	LR: 0.100000
Training Epoch: 9 [30976/48700]	Loss: 1.0879	LR: 0.100000
Training Epoch: 9 [31232/48700]	Loss: 1.1168	LR: 0.100000
Training Epoch: 9 [31488/48700]	Loss: 1.0424	LR: 0.100000
Training Epoch: 9 [31744/48700]	Loss: 1.1066	LR: 0.100000
Training Epoch: 9 [32000/48700]	Loss: 1.1090	LR: 0.100000
Training Epoch: 9 [32256/48700]	Loss: 1.1463	LR: 0.100000
Training Epoch: 9 [32512/48700]	Loss: 1.0529	LR: 0.100000
Training Epoch: 9 [32768/48700]	Loss: 1.1317	LR: 0.100000
Training Epoch: 9 [33024/48700]	Loss: 1.1563	LR: 0.100000
Training Epoch: 9 [33280/48700]	Loss: 1.1660	LR: 0.100000
Training Epoch: 9 [33536/48700]	Loss: 1.0703	LR: 0.100000
Training Epoch: 9 [33792/48700]	Loss: 1.0085	LR: 0.100000
Training Epoch: 9 [34048/48700]	Loss: 1.0924	LR: 0.100000
Training Epoch: 9 [34304/48700]	Loss: 0.9935	LR: 0.100000
Training Epoch: 9 [34560/48700]	Loss: 1.0691	LR: 0.100000
Training Epoch: 9 [34816/48700]	Loss: 1.1420	LR: 0.100000
Training Epoch: 9 [35072/48700]	Loss: 1.1052	LR: 0.100000
Training Epoch: 9 [35328/48700]	Loss: 1.2201	LR: 0.100000
Training Epoch: 9 [35584/48700]	Loss: 1.0539	LR: 0.100000
Training Epoch: 9 [35840/48700]	Loss: 1.1102	LR: 0.100000
Training Epoch: 9 [36096/48700]	Loss: 1.1291	LR: 0.100000
Training Epoch: 9 [36352/48700]	Loss: 1.0107	LR: 0.100000
Training Epoch: 9 [36608/48700]	Loss: 1.0825	LR: 0.100000
Training Epoch: 9 [36864/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 9 [37120/48700]	Loss: 1.2812	LR: 0.100000
Training Epoch: 9 [37376/48700]	Loss: 1.1205	LR: 0.100000
Training Epoch: 9 [37632/48700]	Loss: 1.1306	LR: 0.100000
Training Epoch: 9 [37888/48700]	Loss: 1.0689	LR: 0.100000
Training Epoch: 9 [38144/48700]	Loss: 1.1552	LR: 0.100000
Training Epoch: 9 [38400/48700]	Loss: 1.1562	LR: 0.100000
Training Epoch: 9 [38656/48700]	Loss: 1.0792	LR: 0.100000
Training Epoch: 9 [38912/48700]	Loss: 1.1404	LR: 0.100000
Training Epoch: 9 [39168/48700]	Loss: 1.1413	LR: 0.100000
Training Epoch: 9 [39424/48700]	Loss: 1.0945	LR: 0.100000
Training Epoch: 9 [39680/48700]	Loss: 1.0438	LR: 0.100000
Training Epoch: 9 [39936/48700]	Loss: 1.0566	LR: 0.100000
Training Epoch: 9 [40192/48700]	Loss: 1.1511	LR: 0.100000
Training Epoch: 9 [40448/48700]	Loss: 1.0688	LR: 0.100000
Training Epoch: 9 [40704/48700]	Loss: 1.0361	LR: 0.100000
Training Epoch: 9 [40960/48700]	Loss: 1.0884	LR: 0.100000
Training Epoch: 9 [41216/48700]	Loss: 1.0062	LR: 0.100000
Training Epoch: 9 [41472/48700]	Loss: 1.2171	LR: 0.100000
Training Epoch: 9 [41728/48700]	Loss: 1.0879	LR: 0.100000
Training Epoch: 9 [41984/48700]	Loss: 0.9947	LR: 0.100000
Training Epoch: 9 [42240/48700]	Loss: 1.1295	LR: 0.100000
Training Epoch: 9 [42496/48700]	Loss: 1.2080	LR: 0.100000
Training Epoch: 9 [42752/48700]	Loss: 1.0040	LR: 0.100000
Training Epoch: 9 [43008/48700]	Loss: 1.0065	LR: 0.100000
Training Epoch: 9 [43264/48700]	Loss: 1.2699	LR: 0.100000
Training Epoch: 9 [43520/48700]	Loss: 1.2250	LR: 0.100000
Training Epoch: 9 [43776/48700]	Loss: 1.0556	LR: 0.100000
Training Epoch: 9 [44032/48700]	Loss: 0.9857	LR: 0.100000
Training Epoch: 9 [44288/48700]	Loss: 1.2892	LR: 0.100000
Training Epoch: 9 [44544/48700]	Loss: 1.2595	LR: 0.100000
Training Epoch: 9 [44800/48700]	Loss: 0.9868	LR: 0.100000
Training Epoch: 9 [45056/48700]	Loss: 1.1707	LR: 0.100000
Training Epoch: 9 [45312/48700]	Loss: 1.2762	LR: 0.100000
Training Epoch: 9 [45568/48700]	Loss: 1.0761	LR: 0.100000
Training Epoch: 9 [45824/48700]	Loss: 1.0981	LR: 0.100000
Training Epoch: 9 [46080/48700]	Loss: 1.3007	LR: 0.100000
Training Epoch: 9 [46336/48700]	Loss: 1.1832	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 1.3224	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.1854	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 0.9953	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.1847	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.2065	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.0436	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.1936	LR: 0.100000
Training Epoch: 9 [48384/48700]	Loss: 1.0071	LR: 0.100000
Training Epoch: 9 [48640/48700]	Loss: 1.0362	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.0892	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1135, Train Accuracy: 0.6429
Epoch 9 training time consumed: 29.82s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0050, Accuracy: 0.6030, Time consumed:0.89s
Training Epoch: 10 [256/48700]	Loss: 0.9664	LR: 0.100000
Training Epoch: 10 [512/48700]	Loss: 1.1888	LR: 0.100000
Training Epoch: 10 [768/48700]	Loss: 1.0836	LR: 0.100000
Training Epoch: 10 [1024/48700]	Loss: 1.1736	LR: 0.100000
Training Epoch: 10 [1280/48700]	Loss: 1.1433	LR: 0.100000
Training Epoch: 10 [1536/48700]	Loss: 1.0689	LR: 0.100000
Training Epoch: 10 [1792/48700]	Loss: 1.0404	LR: 0.100000
Training Epoch: 10 [2048/48700]	Loss: 1.0529	LR: 0.100000
Training Epoch: 10 [2304/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 10 [2560/48700]	Loss: 0.9957	LR: 0.100000
Training Epoch: 10 [2816/48700]	Loss: 1.0368	LR: 0.100000
Training Epoch: 10 [3072/48700]	Loss: 1.0073	LR: 0.100000
Training Epoch: 10 [3328/48700]	Loss: 1.0086	LR: 0.100000
Training Epoch: 10 [3584/48700]	Loss: 1.1702	LR: 0.100000
Training Epoch: 10 [3840/48700]	Loss: 1.2077	LR: 0.100000
Training Epoch: 10 [4096/48700]	Loss: 1.1206	LR: 0.100000
Training Epoch: 10 [4352/48700]	Loss: 0.9410	LR: 0.100000
Training Epoch: 10 [4608/48700]	Loss: 1.1430	LR: 0.100000
Training Epoch: 10 [4864/48700]	Loss: 1.1493	LR: 0.100000
Training Epoch: 10 [5120/48700]	Loss: 0.9328	LR: 0.100000
Training Epoch: 10 [5376/48700]	Loss: 1.0491	LR: 0.100000
Training Epoch: 10 [5632/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 10 [5888/48700]	Loss: 1.0096	LR: 0.100000
Training Epoch: 10 [6144/48700]	Loss: 1.1428	LR: 0.100000
Training Epoch: 10 [6400/48700]	Loss: 0.8656	LR: 0.100000
Training Epoch: 10 [6656/48700]	Loss: 1.0449	LR: 0.100000
Training Epoch: 10 [6912/48700]	Loss: 1.0359	LR: 0.100000
Training Epoch: 10 [7168/48700]	Loss: 1.0552	LR: 0.100000
Training Epoch: 10 [7424/48700]	Loss: 1.1094	LR: 0.100000
Training Epoch: 10 [7680/48700]	Loss: 1.0975	LR: 0.100000
Training Epoch: 10 [7936/48700]	Loss: 1.0776	LR: 0.100000
Training Epoch: 10 [8192/48700]	Loss: 0.9949	LR: 0.100000
Training Epoch: 10 [8448/48700]	Loss: 0.9987	LR: 0.100000
Training Epoch: 10 [8704/48700]	Loss: 1.0576	LR: 0.100000
Training Epoch: 10 [8960/48700]	Loss: 0.9436	LR: 0.100000
Training Epoch: 10 [9216/48700]	Loss: 1.1670	LR: 0.100000
Training Epoch: 10 [9472/48700]	Loss: 1.1422	LR: 0.100000
Training Epoch: 10 [9728/48700]	Loss: 0.9242	LR: 0.100000
Training Epoch: 10 [9984/48700]	Loss: 1.0235	LR: 0.100000
Training Epoch: 10 [10240/48700]	Loss: 1.1294	LR: 0.100000
Training Epoch: 10 [10496/48700]	Loss: 1.2313	LR: 0.100000
Training Epoch: 10 [10752/48700]	Loss: 0.9485	LR: 0.100000
Training Epoch: 10 [11008/48700]	Loss: 1.0309	LR: 0.100000
Training Epoch: 10 [11264/48700]	Loss: 0.9278	LR: 0.100000
Training Epoch: 10 [11520/48700]	Loss: 1.0581	LR: 0.100000
Training Epoch: 10 [11776/48700]	Loss: 0.9762	LR: 0.100000
Training Epoch: 10 [12032/48700]	Loss: 1.1179	LR: 0.100000
Training Epoch: 10 [12288/48700]	Loss: 1.1250	LR: 0.100000
Training Epoch: 10 [12544/48700]	Loss: 1.2132	LR: 0.100000
Training Epoch: 10 [12800/48700]	Loss: 1.0172	LR: 0.100000
Training Epoch: 10 [13056/48700]	Loss: 1.2701	LR: 0.100000
Training Epoch: 10 [13312/48700]	Loss: 1.1279	LR: 0.100000
Training Epoch: 10 [13568/48700]	Loss: 1.0451	LR: 0.100000
Training Epoch: 10 [13824/48700]	Loss: 0.9375	LR: 0.100000
Training Epoch: 10 [14080/48700]	Loss: 0.9804	LR: 0.100000
Training Epoch: 10 [14336/48700]	Loss: 0.9180	LR: 0.100000
Training Epoch: 10 [14592/48700]	Loss: 0.9334	LR: 0.100000
Training Epoch: 10 [14848/48700]	Loss: 1.1394	LR: 0.100000
Training Epoch: 10 [15104/48700]	Loss: 1.2294	LR: 0.100000
Training Epoch: 10 [15360/48700]	Loss: 1.1929	LR: 0.100000
Training Epoch: 10 [15616/48700]	Loss: 1.0470	LR: 0.100000
Training Epoch: 10 [15872/48700]	Loss: 0.9650	LR: 0.100000
Training Epoch: 10 [16128/48700]	Loss: 1.1529	LR: 0.100000
Training Epoch: 10 [16384/48700]	Loss: 1.1430	LR: 0.100000
Training Epoch: 10 [16640/48700]	Loss: 1.0292	LR: 0.100000
Training Epoch: 10 [16896/48700]	Loss: 0.9080	LR: 0.100000
Training Epoch: 10 [17152/48700]	Loss: 1.0570	LR: 0.100000
Training Epoch: 10 [17408/48700]	Loss: 1.1426	LR: 0.100000
Training Epoch: 10 [17664/48700]	Loss: 0.9987	LR: 0.100000
Training Epoch: 10 [17920/48700]	Loss: 1.0999	LR: 0.100000
Training Epoch: 10 [18176/48700]	Loss: 1.1578	LR: 0.100000
Training Epoch: 10 [18432/48700]	Loss: 1.0078	LR: 0.100000
Training Epoch: 10 [18688/48700]	Loss: 1.0447	LR: 0.100000
Training Epoch: 10 [18944/48700]	Loss: 1.0695	LR: 0.100000
Training Epoch: 10 [19200/48700]	Loss: 1.0033	LR: 0.100000
Training Epoch: 10 [19456/48700]	Loss: 1.1257	LR: 0.100000
Training Epoch: 10 [19712/48700]	Loss: 1.0330	LR: 0.100000
Training Epoch: 10 [19968/48700]	Loss: 1.0703	LR: 0.100000
Training Epoch: 10 [20224/48700]	Loss: 1.1289	LR: 0.100000
Training Epoch: 10 [20480/48700]	Loss: 1.0741	LR: 0.100000
Training Epoch: 10 [20736/48700]	Loss: 1.0412	LR: 0.100000
Training Epoch: 10 [20992/48700]	Loss: 1.0236	LR: 0.100000
Training Epoch: 10 [21248/48700]	Loss: 1.0410	LR: 0.100000
Training Epoch: 10 [21504/48700]	Loss: 0.9581	LR: 0.100000
Training Epoch: 10 [21760/48700]	Loss: 0.8509	LR: 0.100000
Training Epoch: 10 [22016/48700]	Loss: 0.9851	LR: 0.100000
Training Epoch: 10 [22272/48700]	Loss: 1.1378	LR: 0.100000
Training Epoch: 10 [22528/48700]	Loss: 1.1123	LR: 0.100000
Training Epoch: 10 [22784/48700]	Loss: 0.8800	LR: 0.100000
Training Epoch: 10 [23040/48700]	Loss: 0.9145	LR: 0.100000
Training Epoch: 10 [23296/48700]	Loss: 1.1359	LR: 0.100000
Training Epoch: 10 [23552/48700]	Loss: 1.1349	LR: 0.100000
Training Epoch: 10 [23808/48700]	Loss: 1.0787	LR: 0.100000
Training Epoch: 10 [24064/48700]	Loss: 1.0057	LR: 0.100000
Training Epoch: 10 [24320/48700]	Loss: 1.0879	LR: 0.100000
Training Epoch: 10 [24576/48700]	Loss: 1.1083	LR: 0.100000
Training Epoch: 10 [24832/48700]	Loss: 1.0297	LR: 0.100000
Training Epoch: 10 [25088/48700]	Loss: 1.1597	LR: 0.100000
Training Epoch: 10 [25344/48700]	Loss: 1.1123	LR: 0.100000
Training Epoch: 10 [25600/48700]	Loss: 1.1319	LR: 0.100000
Training Epoch: 10 [25856/48700]	Loss: 1.1760	LR: 0.100000
Training Epoch: 10 [26112/48700]	Loss: 1.0883	LR: 0.100000
Training Epoch: 10 [26368/48700]	Loss: 0.9647	LR: 0.100000
Training Epoch: 10 [26624/48700]	Loss: 1.1400	LR: 0.100000
Training Epoch: 10 [26880/48700]	Loss: 1.0773	LR: 0.100000
Training Epoch: 10 [27136/48700]	Loss: 1.0488	LR: 0.100000
Training Epoch: 10 [27392/48700]	Loss: 1.2525	LR: 0.100000
Training Epoch: 10 [27648/48700]	Loss: 1.0403	LR: 0.100000
Training Epoch: 10 [27904/48700]	Loss: 1.1667	LR: 0.100000
Training Epoch: 10 [28160/48700]	Loss: 1.0861	LR: 0.100000
Training Epoch: 10 [28416/48700]	Loss: 1.0116	LR: 0.100000
Training Epoch: 10 [28672/48700]	Loss: 1.0919	LR: 0.100000
Training Epoch: 10 [28928/48700]	Loss: 1.1066	LR: 0.100000
Training Epoch: 10 [29184/48700]	Loss: 1.1014	LR: 0.100000
Training Epoch: 10 [29440/48700]	Loss: 1.0874	LR: 0.100000
Training Epoch: 10 [29696/48700]	Loss: 1.1142	LR: 0.100000
Training Epoch: 10 [29952/48700]	Loss: 1.1408	LR: 0.100000
Training Epoch: 10 [30208/48700]	Loss: 1.0537	LR: 0.100000
Training Epoch: 10 [30464/48700]	Loss: 1.0627	LR: 0.100000
Training Epoch: 10 [30720/48700]	Loss: 0.9784	LR: 0.100000
Training Epoch: 10 [30976/48700]	Loss: 1.0653	LR: 0.100000
Training Epoch: 10 [31232/48700]	Loss: 1.1242	LR: 0.100000
Training Epoch: 10 [31488/48700]	Loss: 1.0520	LR: 0.100000
Training Epoch: 10 [31744/48700]	Loss: 1.0638	LR: 0.100000
Training Epoch: 10 [32000/48700]	Loss: 1.1436	LR: 0.100000
Training Epoch: 10 [32256/48700]	Loss: 1.0703	LR: 0.100000
Training Epoch: 10 [32512/48700]	Loss: 1.1534	LR: 0.100000
Training Epoch: 10 [32768/48700]	Loss: 1.0953	LR: 0.100000
Training Epoch: 10 [33024/48700]	Loss: 1.0700	LR: 0.100000
Training Epoch: 10 [33280/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 10 [33536/48700]	Loss: 1.1475	LR: 0.100000
Training Epoch: 10 [33792/48700]	Loss: 1.0818	LR: 0.100000
Training Epoch: 10 [34048/48700]	Loss: 1.0760	LR: 0.100000
Training Epoch: 10 [34304/48700]	Loss: 1.0561	LR: 0.100000
Training Epoch: 10 [34560/48700]	Loss: 1.1484	LR: 0.100000
Training Epoch: 10 [34816/48700]	Loss: 1.1060	LR: 0.100000
Training Epoch: 10 [35072/48700]	Loss: 1.0086	LR: 0.100000
Training Epoch: 10 [35328/48700]	Loss: 0.9293	LR: 0.100000
Training Epoch: 10 [35584/48700]	Loss: 1.0131	LR: 0.100000
Training Epoch: 10 [35840/48700]	Loss: 1.0962	LR: 0.100000
Training Epoch: 10 [36096/48700]	Loss: 0.9666	LR: 0.100000
Training Epoch: 10 [36352/48700]	Loss: 1.1163	LR: 0.100000
Training Epoch: 10 [36608/48700]	Loss: 1.0394	LR: 0.100000
Training Epoch: 10 [36864/48700]	Loss: 1.0808	LR: 0.100000
Training Epoch: 10 [37120/48700]	Loss: 0.9725	LR: 0.100000
Training Epoch: 10 [37376/48700]	Loss: 1.1976	LR: 0.100000
Training Epoch: 10 [37632/48700]	Loss: 1.0046	LR: 0.100000
Training Epoch: 10 [37888/48700]	Loss: 1.0252	LR: 0.100000
Training Epoch: 10 [38144/48700]	Loss: 0.9208	LR: 0.100000
Training Epoch: 10 [38400/48700]	Loss: 1.0810	LR: 0.100000
Training Epoch: 10 [38656/48700]	Loss: 1.0536	LR: 0.100000
Training Epoch: 10 [38912/48700]	Loss: 1.1062	LR: 0.100000
Training Epoch: 10 [39168/48700]	Loss: 1.0456	LR: 0.100000
Training Epoch: 10 [39424/48700]	Loss: 1.1295	LR: 0.100000
Training Epoch: 10 [39680/48700]	Loss: 1.0212	LR: 0.100000
Training Epoch: 10 [39936/48700]	Loss: 1.1372	LR: 0.100000
Training Epoch: 10 [40192/48700]	Loss: 1.0942	LR: 0.100000
Training Epoch: 10 [40448/48700]	Loss: 0.9152	LR: 0.100000
Training Epoch: 10 [40704/48700]	Loss: 1.0782	LR: 0.100000
Training Epoch: 10 [40960/48700]	Loss: 0.9922	LR: 0.100000
Training Epoch: 10 [41216/48700]	Loss: 1.0720	LR: 0.100000
Training Epoch: 10 [41472/48700]	Loss: 0.9572	LR: 0.100000
Training Epoch: 10 [41728/48700]	Loss: 1.0958	LR: 0.100000
Training Epoch: 10 [41984/48700]	Loss: 1.2774	LR: 0.100000
Training Epoch: 10 [42240/48700]	Loss: 1.0119	LR: 0.100000
Training Epoch: 10 [42496/48700]	Loss: 0.9587	LR: 0.100000
Training Epoch: 10 [42752/48700]	Loss: 1.0655	LR: 0.100000
Training Epoch: 10 [43008/48700]	Loss: 1.0639	LR: 0.100000
Training Epoch: 10 [43264/48700]	Loss: 0.9765	LR: 0.100000
Training Epoch: 10 [43520/48700]	Loss: 0.9265	LR: 0.100000
Training Epoch: 10 [43776/48700]	Loss: 1.1083	LR: 0.100000
Training Epoch: 10 [44032/48700]	Loss: 1.0163	LR: 0.100000
Training Epoch: 10 [44288/48700]	Loss: 0.9273	LR: 0.100000
Training Epoch: 10 [44544/48700]	Loss: 1.1215	LR: 0.100000
Training Epoch: 10 [44800/48700]	Loss: 0.9705	LR: 0.100000
Training Epoch: 10 [45056/48700]	Loss: 0.8714	LR: 0.100000
Training Epoch: 10 [45312/48700]	Loss: 1.0458	LR: 0.100000
Training Epoch: 10 [45568/48700]	Loss: 1.0204	LR: 0.100000
Training Epoch: 10 [45824/48700]	Loss: 1.0484	LR: 0.100000
Training Epoch: 10 [46080/48700]	Loss: 1.0477	LR: 0.100000
Training Epoch: 10 [46336/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 10 [46592/48700]	Loss: 0.8163	LR: 0.100000
Training Epoch: 10 [46848/48700]	Loss: 1.0126	LR: 0.100000
Training Epoch: 10 [47104/48700]	Loss: 1.0751	LR: 0.100000
Training Epoch: 10 [47360/48700]	Loss: 0.9550	LR: 0.100000
Training Epoch: 10 [47616/48700]	Loss: 1.0460	LR: 0.100000
Training Epoch: 10 [47872/48700]	Loss: 1.0998	LR: 0.100000
Training Epoch: 10 [48128/48700]	Loss: 0.9742	LR: 0.100000
Training Epoch: 10 [48384/48700]	Loss: 1.0976	LR: 0.100000
Training Epoch: 10 [48640/48700]	Loss: 1.2345	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.3775	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0579, Train Accuracy: 0.6593
Epoch 10 training time consumed: 29.52s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0048, Accuracy: 0.6274, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 0.9819	LR: 0.100000
Training Epoch: 11 [512/48700]	Loss: 1.0856	LR: 0.100000
Training Epoch: 11 [768/48700]	Loss: 0.9172	LR: 0.100000
Training Epoch: 11 [1024/48700]	Loss: 1.1618	LR: 0.100000
Training Epoch: 11 [1280/48700]	Loss: 0.8892	LR: 0.100000
Training Epoch: 11 [1536/48700]	Loss: 1.0536	LR: 0.100000
Training Epoch: 11 [1792/48700]	Loss: 1.0591	LR: 0.100000
Training Epoch: 11 [2048/48700]	Loss: 0.9807	LR: 0.100000
Training Epoch: 11 [2304/48700]	Loss: 1.1012	LR: 0.100000
Training Epoch: 11 [2560/48700]	Loss: 1.1752	LR: 0.100000
Training Epoch: 11 [2816/48700]	Loss: 0.8457	LR: 0.100000
Training Epoch: 11 [3072/48700]	Loss: 0.8865	LR: 0.100000
Training Epoch: 11 [3328/48700]	Loss: 1.0606	LR: 0.100000
Training Epoch: 11 [3584/48700]	Loss: 0.9783	LR: 0.100000
Training Epoch: 11 [3840/48700]	Loss: 1.0519	LR: 0.100000
Training Epoch: 11 [4096/48700]	Loss: 1.1144	LR: 0.100000
Training Epoch: 11 [4352/48700]	Loss: 0.9921	LR: 0.100000
Training Epoch: 11 [4608/48700]	Loss: 0.9511	LR: 0.100000
Training Epoch: 11 [4864/48700]	Loss: 1.0269	LR: 0.100000
Training Epoch: 11 [5120/48700]	Loss: 0.9569	LR: 0.100000
Training Epoch: 11 [5376/48700]	Loss: 1.0250	LR: 0.100000
Training Epoch: 11 [5632/48700]	Loss: 1.0859	LR: 0.100000
Training Epoch: 11 [5888/48700]	Loss: 0.9083	LR: 0.100000
Training Epoch: 11 [6144/48700]	Loss: 1.0295	LR: 0.100000
Training Epoch: 11 [6400/48700]	Loss: 1.0322	LR: 0.100000
Training Epoch: 11 [6656/48700]	Loss: 1.0436	LR: 0.100000
Training Epoch: 11 [6912/48700]	Loss: 0.9885	LR: 0.100000
Training Epoch: 11 [7168/48700]	Loss: 1.0700	LR: 0.100000
Training Epoch: 11 [7424/48700]	Loss: 0.9952	LR: 0.100000
Training Epoch: 11 [7680/48700]	Loss: 0.9609	LR: 0.100000
Training Epoch: 11 [7936/48700]	Loss: 0.9835	LR: 0.100000
Training Epoch: 11 [8192/48700]	Loss: 1.0290	LR: 0.100000
Training Epoch: 11 [8448/48700]	Loss: 1.0549	LR: 0.100000
Training Epoch: 11 [8704/48700]	Loss: 0.9728	LR: 0.100000
Training Epoch: 11 [8960/48700]	Loss: 1.0395	LR: 0.100000
Training Epoch: 11 [9216/48700]	Loss: 0.9376	LR: 0.100000
Training Epoch: 11 [9472/48700]	Loss: 1.0342	LR: 0.100000
Training Epoch: 11 [9728/48700]	Loss: 0.8739	LR: 0.100000
Training Epoch: 11 [9984/48700]	Loss: 1.0412	LR: 0.100000
Training Epoch: 11 [10240/48700]	Loss: 1.0852	LR: 0.100000
Training Epoch: 11 [10496/48700]	Loss: 1.0986	LR: 0.100000
Training Epoch: 11 [10752/48700]	Loss: 1.1092	LR: 0.100000
Training Epoch: 11 [11008/48700]	Loss: 1.0381	LR: 0.100000
Training Epoch: 11 [11264/48700]	Loss: 0.9693	LR: 0.100000
Training Epoch: 11 [11520/48700]	Loss: 0.9360	LR: 0.100000
Training Epoch: 11 [11776/48700]	Loss: 0.9786	LR: 0.100000
Training Epoch: 11 [12032/48700]	Loss: 0.9610	LR: 0.100000
Training Epoch: 11 [12288/48700]	Loss: 1.0585	LR: 0.100000
Training Epoch: 11 [12544/48700]	Loss: 1.0026	LR: 0.100000
Training Epoch: 11 [12800/48700]	Loss: 1.0365	LR: 0.100000
Training Epoch: 11 [13056/48700]	Loss: 1.0243	LR: 0.100000
Training Epoch: 11 [13312/48700]	Loss: 0.9643	LR: 0.100000
Training Epoch: 11 [13568/48700]	Loss: 0.9899	LR: 0.100000
Training Epoch: 11 [13824/48700]	Loss: 1.0455	LR: 0.100000
Training Epoch: 11 [14080/48700]	Loss: 0.9549	LR: 0.100000
Training Epoch: 11 [14336/48700]	Loss: 1.0238	LR: 0.100000
Training Epoch: 11 [14592/48700]	Loss: 0.8733	LR: 0.100000
Training Epoch: 11 [14848/48700]	Loss: 1.0048	LR: 0.100000
Training Epoch: 11 [15104/48700]	Loss: 1.1192	LR: 0.100000
Training Epoch: 11 [15360/48700]	Loss: 1.0323	LR: 0.100000
Training Epoch: 11 [15616/48700]	Loss: 1.0132	LR: 0.100000
Training Epoch: 11 [15872/48700]	Loss: 0.9719	LR: 0.100000
Training Epoch: 11 [16128/48700]	Loss: 1.0969	LR: 0.100000
Training Epoch: 11 [16384/48700]	Loss: 0.9165	LR: 0.100000
Training Epoch: 11 [16640/48700]	Loss: 1.0331	LR: 0.100000
Training Epoch: 11 [16896/48700]	Loss: 0.9914	LR: 0.100000
Training Epoch: 11 [17152/48700]	Loss: 0.8831	LR: 0.100000
Training Epoch: 11 [17408/48700]	Loss: 1.0231	LR: 0.100000
Training Epoch: 11 [17664/48700]	Loss: 1.1013	LR: 0.100000
Training Epoch: 11 [17920/48700]	Loss: 1.0535	LR: 0.100000
Training Epoch: 11 [18176/48700]	Loss: 0.8417	LR: 0.100000
Training Epoch: 11 [18432/48700]	Loss: 1.0750	LR: 0.100000
Training Epoch: 11 [18688/48700]	Loss: 1.1774	LR: 0.100000
Training Epoch: 11 [18944/48700]	Loss: 1.0269	LR: 0.100000
Training Epoch: 11 [19200/48700]	Loss: 0.9917	LR: 0.100000
Training Epoch: 11 [19456/48700]	Loss: 1.0354	LR: 0.100000
Training Epoch: 11 [19712/48700]	Loss: 1.1148	LR: 0.100000
Training Epoch: 11 [19968/48700]	Loss: 1.0156	LR: 0.100000
Training Epoch: 11 [20224/48700]	Loss: 1.0357	LR: 0.100000
Training Epoch: 11 [20480/48700]	Loss: 0.9437	LR: 0.100000
Training Epoch: 11 [20736/48700]	Loss: 0.9400	LR: 0.100000
Training Epoch: 11 [20992/48700]	Loss: 0.9857	LR: 0.100000
Training Epoch: 11 [21248/48700]	Loss: 1.0720	LR: 0.100000
Training Epoch: 11 [21504/48700]	Loss: 1.1250	LR: 0.100000
Training Epoch: 11 [21760/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 11 [22016/48700]	Loss: 1.1049	LR: 0.100000
Training Epoch: 11 [22272/48700]	Loss: 0.9075	LR: 0.100000
Training Epoch: 11 [22528/48700]	Loss: 1.0783	LR: 0.100000
Training Epoch: 11 [22784/48700]	Loss: 0.9717	LR: 0.100000
Training Epoch: 11 [23040/48700]	Loss: 0.9262	LR: 0.100000
Training Epoch: 11 [23296/48700]	Loss: 0.9818	LR: 0.100000
Training Epoch: 11 [23552/48700]	Loss: 1.0881	LR: 0.100000
Training Epoch: 11 [23808/48700]	Loss: 0.9425	LR: 0.100000
Training Epoch: 11 [24064/48700]	Loss: 0.9922	LR: 0.100000
Training Epoch: 11 [24320/48700]	Loss: 0.8839	LR: 0.100000
Training Epoch: 11 [24576/48700]	Loss: 0.8898	LR: 0.100000
Training Epoch: 11 [24832/48700]	Loss: 0.9832	LR: 0.100000
Training Epoch: 11 [25088/48700]	Loss: 1.1490	LR: 0.100000
Training Epoch: 11 [25344/48700]	Loss: 0.8732	LR: 0.100000
Training Epoch: 11 [25600/48700]	Loss: 1.0167	LR: 0.100000
Training Epoch: 11 [25856/48700]	Loss: 0.9773	LR: 0.100000
Training Epoch: 11 [26112/48700]	Loss: 1.1556	LR: 0.100000
Training Epoch: 11 [26368/48700]	Loss: 0.8836	LR: 0.100000
Training Epoch: 11 [26624/48700]	Loss: 1.0340	LR: 0.100000
Training Epoch: 11 [26880/48700]	Loss: 1.1275	LR: 0.100000
Training Epoch: 11 [27136/48700]	Loss: 1.0501	LR: 0.100000
Training Epoch: 11 [27392/48700]	Loss: 0.9497	LR: 0.100000
Training Epoch: 11 [27648/48700]	Loss: 0.8900	LR: 0.100000
Training Epoch: 11 [27904/48700]	Loss: 0.9313	LR: 0.100000
Training Epoch: 11 [28160/48700]	Loss: 1.1208	LR: 0.100000
Training Epoch: 11 [28416/48700]	Loss: 0.9285	LR: 0.100000
Training Epoch: 11 [28672/48700]	Loss: 0.9986	LR: 0.100000
Training Epoch: 11 [28928/48700]	Loss: 0.9299	LR: 0.100000
Training Epoch: 11 [29184/48700]	Loss: 0.9156	LR: 0.100000
Training Epoch: 11 [29440/48700]	Loss: 0.8815	LR: 0.100000
Training Epoch: 11 [29696/48700]	Loss: 1.0804	LR: 0.100000
Training Epoch: 11 [29952/48700]	Loss: 1.1244	LR: 0.100000
Training Epoch: 11 [30208/48700]	Loss: 1.0059	LR: 0.100000
Training Epoch: 11 [30464/48700]	Loss: 1.0009	LR: 0.100000
Training Epoch: 11 [30720/48700]	Loss: 0.9427	LR: 0.100000
Training Epoch: 11 [30976/48700]	Loss: 0.9963	LR: 0.100000
Training Epoch: 11 [31232/48700]	Loss: 1.1207	LR: 0.100000
Training Epoch: 11 [31488/48700]	Loss: 1.0726	LR: 0.100000
Training Epoch: 11 [31744/48700]	Loss: 0.9642	LR: 0.100000
Training Epoch: 11 [32000/48700]	Loss: 0.9945	LR: 0.100000
Training Epoch: 11 [32256/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 11 [32512/48700]	Loss: 1.0075	LR: 0.100000
Training Epoch: 11 [32768/48700]	Loss: 1.1765	LR: 0.100000
Training Epoch: 11 [33024/48700]	Loss: 0.8745	LR: 0.100000
Training Epoch: 11 [33280/48700]	Loss: 0.9789	LR: 0.100000
Training Epoch: 11 [33536/48700]	Loss: 0.9385	LR: 0.100000
Training Epoch: 11 [33792/48700]	Loss: 0.9855	LR: 0.100000
Training Epoch: 11 [34048/48700]	Loss: 0.9943	LR: 0.100000
Training Epoch: 11 [34304/48700]	Loss: 1.0813	LR: 0.100000
Training Epoch: 11 [34560/48700]	Loss: 1.1498	LR: 0.100000
Training Epoch: 11 [34816/48700]	Loss: 0.9120	LR: 0.100000
Training Epoch: 11 [35072/48700]	Loss: 0.9374	LR: 0.100000
Training Epoch: 11 [35328/48700]	Loss: 0.9052	LR: 0.100000
Training Epoch: 11 [35584/48700]	Loss: 1.1267	LR: 0.100000
Training Epoch: 11 [35840/48700]	Loss: 1.0282	LR: 0.100000
Training Epoch: 11 [36096/48700]	Loss: 0.9108	LR: 0.100000
Training Epoch: 11 [36352/48700]	Loss: 1.0072	LR: 0.100000
Training Epoch: 11 [36608/48700]	Loss: 0.9501	LR: 0.100000
Training Epoch: 11 [36864/48700]	Loss: 0.9718	LR: 0.100000
Training Epoch: 11 [37120/48700]	Loss: 0.9486	LR: 0.100000
Training Epoch: 11 [37376/48700]	Loss: 0.9041	LR: 0.100000
Training Epoch: 11 [37632/48700]	Loss: 0.9875	LR: 0.100000
Training Epoch: 11 [37888/48700]	Loss: 1.1384	LR: 0.100000
Training Epoch: 11 [38144/48700]	Loss: 1.0482	LR: 0.100000
Training Epoch: 11 [38400/48700]	Loss: 1.0425	LR: 0.100000
Training Epoch: 11 [38656/48700]	Loss: 1.0695	LR: 0.100000
Training Epoch: 11 [38912/48700]	Loss: 0.8972	LR: 0.100000
Training Epoch: 11 [39168/48700]	Loss: 0.9796	LR: 0.100000
Training Epoch: 11 [39424/48700]	Loss: 0.9491	LR: 0.100000
Training Epoch: 11 [39680/48700]	Loss: 0.9655	LR: 0.100000
Training Epoch: 11 [39936/48700]	Loss: 1.0855	LR: 0.100000
Training Epoch: 11 [40192/48700]	Loss: 0.9464	LR: 0.100000
Training Epoch: 11 [40448/48700]	Loss: 1.0937	LR: 0.100000
Training Epoch: 11 [40704/48700]	Loss: 1.0449	LR: 0.100000
Training Epoch: 11 [40960/48700]	Loss: 1.0530	LR: 0.100000
Training Epoch: 11 [41216/48700]	Loss: 0.8727	LR: 0.100000
Training Epoch: 11 [41472/48700]	Loss: 0.9148	LR: 0.100000
Training Epoch: 11 [41728/48700]	Loss: 1.0450	LR: 0.100000
Training Epoch: 11 [41984/48700]	Loss: 1.0181	LR: 0.100000
Training Epoch: 11 [42240/48700]	Loss: 1.0841	LR: 0.100000
Training Epoch: 11 [42496/48700]	Loss: 0.9394	LR: 0.100000
Training Epoch: 11 [42752/48700]	Loss: 0.8978	LR: 0.100000
Training Epoch: 11 [43008/48700]	Loss: 0.9864	LR: 0.100000
Training Epoch: 11 [43264/48700]	Loss: 1.0232	LR: 0.100000
Training Epoch: 11 [43520/48700]	Loss: 1.0063	LR: 0.100000
Training Epoch: 11 [43776/48700]	Loss: 1.0953	LR: 0.100000
Training Epoch: 11 [44032/48700]	Loss: 0.9077	LR: 0.100000
Training Epoch: 11 [44288/48700]	Loss: 0.9514	LR: 0.100000
Training Epoch: 11 [44544/48700]	Loss: 0.8658	LR: 0.100000
Training Epoch: 11 [44800/48700]	Loss: 0.9555	LR: 0.100000
Training Epoch: 11 [45056/48700]	Loss: 0.9635	LR: 0.100000
Training Epoch: 11 [45312/48700]	Loss: 0.9236	LR: 0.100000
Training Epoch: 11 [45568/48700]	Loss: 1.0227	LR: 0.100000
Training Epoch: 11 [45824/48700]	Loss: 0.8905	LR: 0.100000
Training Epoch: 11 [46080/48700]	Loss: 1.0499	LR: 0.100000
Training Epoch: 11 [46336/48700]	Loss: 1.0720	LR: 0.100000
Training Epoch: 11 [46592/48700]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [46848/48700]	Loss: 0.9190	LR: 0.100000
Training Epoch: 11 [47104/48700]	Loss: 1.0387	LR: 0.100000
Training Epoch: 11 [47360/48700]	Loss: 1.1413	LR: 0.100000
Training Epoch: 11 [47616/48700]	Loss: 0.9255	LR: 0.100000
Training Epoch: 11 [47872/48700]	Loss: 0.9444	LR: 0.100000
Training Epoch: 11 [48128/48700]	Loss: 1.0438	LR: 0.100000
Training Epoch: 11 [48384/48700]	Loss: 1.2326	LR: 0.100000
Training Epoch: 11 [48640/48700]	Loss: 1.0978	LR: 0.100000
Training Epoch: 11 [48700/48700]	Loss: 1.0382	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0048, Train Accuracy: 0.6781
Epoch 11 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0044, Accuracy: 0.6472, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 0.8013	LR: 0.100000
Training Epoch: 12 [512/48700]	Loss: 1.0884	LR: 0.100000
Training Epoch: 12 [768/48700]	Loss: 0.8703	LR: 0.100000
Training Epoch: 12 [1024/48700]	Loss: 0.8802	LR: 0.100000
Training Epoch: 12 [1280/48700]	Loss: 0.9266	LR: 0.100000
Training Epoch: 12 [1536/48700]	Loss: 0.8759	LR: 0.100000
Training Epoch: 12 [1792/48700]	Loss: 0.9767	LR: 0.100000
Training Epoch: 12 [2048/48700]	Loss: 0.9155	LR: 0.100000
Training Epoch: 12 [2304/48700]	Loss: 1.0121	LR: 0.100000
Training Epoch: 12 [2560/48700]	Loss: 1.0604	LR: 0.100000
Training Epoch: 12 [2816/48700]	Loss: 0.9969	LR: 0.100000
Training Epoch: 12 [3072/48700]	Loss: 0.9355	LR: 0.100000
Training Epoch: 12 [3328/48700]	Loss: 0.9105	LR: 0.100000
Training Epoch: 12 [3584/48700]	Loss: 1.0698	LR: 0.100000
Training Epoch: 12 [3840/48700]	Loss: 0.9888	LR: 0.100000
Training Epoch: 12 [4096/48700]	Loss: 0.8587	LR: 0.100000
Training Epoch: 12 [4352/48700]	Loss: 0.8901	LR: 0.100000
Training Epoch: 12 [4608/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 12 [4864/48700]	Loss: 1.1136	LR: 0.100000
Training Epoch: 12 [5120/48700]	Loss: 0.9794	LR: 0.100000
Training Epoch: 12 [5376/48700]	Loss: 1.0340	LR: 0.100000
Training Epoch: 12 [5632/48700]	Loss: 0.8984	LR: 0.100000
Training Epoch: 12 [5888/48700]	Loss: 0.8572	LR: 0.100000
Training Epoch: 12 [6144/48700]	Loss: 0.9635	LR: 0.100000
Training Epoch: 12 [6400/48700]	Loss: 0.9838	LR: 0.100000
Training Epoch: 12 [6656/48700]	Loss: 0.8244	LR: 0.100000
Training Epoch: 12 [6912/48700]	Loss: 0.8654	LR: 0.100000
Training Epoch: 12 [7168/48700]	Loss: 0.9942	LR: 0.100000
Training Epoch: 12 [7424/48700]	Loss: 0.8898	LR: 0.100000
Training Epoch: 12 [7680/48700]	Loss: 0.9903	LR: 0.100000
Training Epoch: 12 [7936/48700]	Loss: 0.9380	LR: 0.100000
Training Epoch: 12 [8192/48700]	Loss: 0.9654	LR: 0.100000
Training Epoch: 12 [8448/48700]	Loss: 0.9901	LR: 0.100000
Training Epoch: 12 [8704/48700]	Loss: 0.9722	LR: 0.100000
Training Epoch: 12 [8960/48700]	Loss: 0.9477	LR: 0.100000
Training Epoch: 12 [9216/48700]	Loss: 0.9345	LR: 0.100000
Training Epoch: 12 [9472/48700]	Loss: 1.0782	LR: 0.100000
Training Epoch: 12 [9728/48700]	Loss: 1.0910	LR: 0.100000
Training Epoch: 12 [9984/48700]	Loss: 1.0126	LR: 0.100000
Training Epoch: 12 [10240/48700]	Loss: 1.0225	LR: 0.100000
Training Epoch: 12 [10496/48700]	Loss: 0.9237	LR: 0.100000
Training Epoch: 12 [10752/48700]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [11008/48700]	Loss: 0.8368	LR: 0.100000
Training Epoch: 12 [11264/48700]	Loss: 0.9576	LR: 0.100000
Training Epoch: 12 [11520/48700]	Loss: 0.9761	LR: 0.100000
Training Epoch: 12 [11776/48700]	Loss: 1.0367	LR: 0.100000
Training Epoch: 12 [12032/48700]	Loss: 0.9295	LR: 0.100000
Training Epoch: 12 [12288/48700]	Loss: 1.0444	LR: 0.100000
Training Epoch: 12 [12544/48700]	Loss: 0.9318	LR: 0.100000
Training Epoch: 12 [12800/48700]	Loss: 1.0967	LR: 0.100000
Training Epoch: 12 [13056/48700]	Loss: 0.9335	LR: 0.100000
Training Epoch: 12 [13312/48700]	Loss: 0.9483	LR: 0.100000
Training Epoch: 12 [13568/48700]	Loss: 1.0697	LR: 0.100000
Training Epoch: 12 [13824/48700]	Loss: 1.1087	LR: 0.100000
Training Epoch: 12 [14080/48700]	Loss: 0.9695	LR: 0.100000
Training Epoch: 12 [14336/48700]	Loss: 0.9960	LR: 0.100000
Training Epoch: 12 [14592/48700]	Loss: 0.9277	LR: 0.100000
Training Epoch: 12 [14848/48700]	Loss: 0.9944	LR: 0.100000
Training Epoch: 12 [15104/48700]	Loss: 1.0587	LR: 0.100000
Training Epoch: 12 [15360/48700]	Loss: 0.8988	LR: 0.100000
Training Epoch: 12 [15616/48700]	Loss: 1.0102	LR: 0.100000
Training Epoch: 12 [15872/48700]	Loss: 0.9420	LR: 0.100000
Training Epoch: 12 [16128/48700]	Loss: 0.9621	LR: 0.100000
Training Epoch: 12 [16384/48700]	Loss: 0.9859	LR: 0.100000
Training Epoch: 12 [16640/48700]	Loss: 0.7436	LR: 0.100000
Training Epoch: 12 [16896/48700]	Loss: 0.9263	LR: 0.100000
Training Epoch: 12 [17152/48700]	Loss: 0.9748	LR: 0.100000
Training Epoch: 12 [17408/48700]	Loss: 0.9994	LR: 0.100000
Training Epoch: 12 [17664/48700]	Loss: 0.9830	LR: 0.100000
Training Epoch: 12 [17920/48700]	Loss: 0.8922	LR: 0.100000
Training Epoch: 12 [18176/48700]	Loss: 1.0264	LR: 0.100000
Training Epoch: 12 [18432/48700]	Loss: 0.9706	LR: 0.100000
Training Epoch: 12 [18688/48700]	Loss: 0.9069	LR: 0.100000
Training Epoch: 12 [18944/48700]	Loss: 1.0345	LR: 0.100000
Training Epoch: 12 [19200/48700]	Loss: 1.1005	LR: 0.100000
Training Epoch: 12 [19456/48700]	Loss: 0.9396	LR: 0.100000
Training Epoch: 12 [19712/48700]	Loss: 0.9924	LR: 0.100000
Training Epoch: 12 [19968/48700]	Loss: 1.0658	LR: 0.100000
Training Epoch: 12 [20224/48700]	Loss: 0.8652	LR: 0.100000
Training Epoch: 12 [20480/48700]	Loss: 0.8908	LR: 0.100000
Training Epoch: 12 [20736/48700]	Loss: 0.9208	LR: 0.100000
Training Epoch: 12 [20992/48700]	Loss: 0.9986	LR: 0.100000
Training Epoch: 12 [21248/48700]	Loss: 1.0572	LR: 0.100000
Training Epoch: 12 [21504/48700]	Loss: 0.8221	LR: 0.100000
Training Epoch: 12 [21760/48700]	Loss: 0.9696	LR: 0.100000
Training Epoch: 12 [22016/48700]	Loss: 1.0045	LR: 0.100000
Training Epoch: 12 [22272/48700]	Loss: 0.9668	LR: 0.100000
Training Epoch: 12 [22528/48700]	Loss: 1.1336	LR: 0.100000
Training Epoch: 12 [22784/48700]	Loss: 0.8686	LR: 0.100000
Training Epoch: 12 [23040/48700]	Loss: 1.0386	LR: 0.100000
Training Epoch: 12 [23296/48700]	Loss: 1.0849	LR: 0.100000
Training Epoch: 12 [23552/48700]	Loss: 0.8430	LR: 0.100000
Training Epoch: 12 [23808/48700]	Loss: 1.0503	LR: 0.100000
Training Epoch: 12 [24064/48700]	Loss: 0.9986	LR: 0.100000
Training Epoch: 12 [24320/48700]	Loss: 0.8792	LR: 0.100000
Training Epoch: 12 [24576/48700]	Loss: 0.9384	LR: 0.100000
Training Epoch: 12 [24832/48700]	Loss: 0.9950	LR: 0.100000
Training Epoch: 12 [25088/48700]	Loss: 0.9933	LR: 0.100000
Training Epoch: 12 [25344/48700]	Loss: 0.9475	LR: 0.100000
Training Epoch: 12 [25600/48700]	Loss: 1.0152	LR: 0.100000
Training Epoch: 12 [25856/48700]	Loss: 1.1019	LR: 0.100000
Training Epoch: 12 [26112/48700]	Loss: 0.9662	LR: 0.100000
Training Epoch: 12 [26368/48700]	Loss: 0.9377	LR: 0.100000
Training Epoch: 12 [26624/48700]	Loss: 1.0038	LR: 0.100000
Training Epoch: 12 [26880/48700]	Loss: 0.9686	LR: 0.100000
Training Epoch: 12 [27136/48700]	Loss: 0.8930	LR: 0.100000
Training Epoch: 12 [27392/48700]	Loss: 0.9331	LR: 0.100000
Training Epoch: 12 [27648/48700]	Loss: 0.7853	LR: 0.100000
Training Epoch: 12 [27904/48700]	Loss: 1.0637	LR: 0.100000
Training Epoch: 12 [28160/48700]	Loss: 1.0462	LR: 0.100000
Training Epoch: 12 [28416/48700]	Loss: 0.8877	LR: 0.100000
Training Epoch: 12 [28672/48700]	Loss: 1.0356	LR: 0.100000
Training Epoch: 12 [28928/48700]	Loss: 0.9758	LR: 0.100000
Training Epoch: 12 [29184/48700]	Loss: 0.8174	LR: 0.100000
Training Epoch: 12 [29440/48700]	Loss: 0.8572	LR: 0.100000
Training Epoch: 12 [29696/48700]	Loss: 0.9624	LR: 0.100000
Training Epoch: 12 [29952/48700]	Loss: 0.9686	LR: 0.100000
Training Epoch: 12 [30208/48700]	Loss: 0.9020	LR: 0.100000
Training Epoch: 12 [30464/48700]	Loss: 1.1239	LR: 0.100000
Training Epoch: 12 [30720/48700]	Loss: 0.9164	LR: 0.100000
Training Epoch: 12 [30976/48700]	Loss: 1.1863	LR: 0.100000
Training Epoch: 12 [31232/48700]	Loss: 0.9307	LR: 0.100000
Training Epoch: 12 [31488/48700]	Loss: 0.9193	LR: 0.100000
Training Epoch: 12 [31744/48700]	Loss: 1.0598	LR: 0.100000
Training Epoch: 12 [32000/48700]	Loss: 0.8698	LR: 0.100000
Training Epoch: 12 [32256/48700]	Loss: 1.1363	LR: 0.100000
Training Epoch: 12 [32512/48700]	Loss: 0.9034	LR: 0.100000
Training Epoch: 12 [32768/48700]	Loss: 0.9558	LR: 0.100000
Training Epoch: 12 [33024/48700]	Loss: 0.9906	LR: 0.100000
Training Epoch: 12 [33280/48700]	Loss: 1.0620	LR: 0.100000
Training Epoch: 12 [33536/48700]	Loss: 1.0046	LR: 0.100000
Training Epoch: 12 [33792/48700]	Loss: 0.9637	LR: 0.100000
Training Epoch: 12 [34048/48700]	Loss: 0.9637	LR: 0.100000
Training Epoch: 12 [34304/48700]	Loss: 0.8524	LR: 0.100000
Training Epoch: 12 [34560/48700]	Loss: 0.9660	LR: 0.100000
Training Epoch: 12 [34816/48700]	Loss: 0.9373	LR: 0.100000
Training Epoch: 12 [35072/48700]	Loss: 0.8598	LR: 0.100000
Training Epoch: 12 [35328/48700]	Loss: 0.9803	LR: 0.100000
Training Epoch: 12 [35584/48700]	Loss: 0.8909	LR: 0.100000
Training Epoch: 12 [35840/48700]	Loss: 0.8672	LR: 0.100000
Training Epoch: 12 [36096/48700]	Loss: 1.0613	LR: 0.100000
Training Epoch: 12 [36352/48700]	Loss: 0.8840	LR: 0.100000
Training Epoch: 12 [36608/48700]	Loss: 0.9402	LR: 0.100000
Training Epoch: 12 [36864/48700]	Loss: 0.9795	LR: 0.100000
Training Epoch: 12 [37120/48700]	Loss: 0.9664	LR: 0.100000
Training Epoch: 12 [37376/48700]	Loss: 0.8704	LR: 0.100000
Training Epoch: 12 [37632/48700]	Loss: 0.9428	LR: 0.100000
Training Epoch: 12 [37888/48700]	Loss: 1.0348	LR: 0.100000
Training Epoch: 12 [38144/48700]	Loss: 0.8569	LR: 0.100000
Training Epoch: 12 [38400/48700]	Loss: 0.8704	LR: 0.100000
Training Epoch: 12 [38656/48700]	Loss: 1.0385	LR: 0.100000
Training Epoch: 12 [38912/48700]	Loss: 0.8096	LR: 0.100000
Training Epoch: 12 [39168/48700]	Loss: 1.0538	LR: 0.100000
Training Epoch: 12 [39424/48700]	Loss: 1.1151	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 0.9205	LR: 0.100000
Training Epoch: 12 [39936/48700]	Loss: 0.8996	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 0.8377	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 0.8864	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 0.9629	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 0.9449	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 0.9652	LR: 0.100000
Training Epoch: 12 [41472/48700]	Loss: 1.0584	LR: 0.100000
Training Epoch: 12 [41728/48700]	Loss: 0.9020	LR: 0.100000
Training Epoch: 12 [41984/48700]	Loss: 1.0676	LR: 0.100000
Training Epoch: 12 [42240/48700]	Loss: 0.8969	LR: 0.100000
Training Epoch: 12 [42496/48700]	Loss: 0.9409	LR: 0.100000
Training Epoch: 12 [42752/48700]	Loss: 0.9453	LR: 0.100000
Training Epoch: 12 [43008/48700]	Loss: 0.9319	LR: 0.100000
Training Epoch: 12 [43264/48700]	Loss: 0.9024	LR: 0.100000
Training Epoch: 12 [43520/48700]	Loss: 0.9225	LR: 0.100000
Training Epoch: 12 [43776/48700]	Loss: 1.1781	LR: 0.100000
Training Epoch: 12 [44032/48700]	Loss: 1.0346	LR: 0.100000
Training Epoch: 12 [44288/48700]	Loss: 0.9868	LR: 0.100000
Training Epoch: 12 [44544/48700]	Loss: 0.8854	LR: 0.100000
Training Epoch: 12 [44800/48700]	Loss: 1.0355	LR: 0.100000
Training Epoch: 12 [45056/48700]	Loss: 1.0118	LR: 0.100000
Training Epoch: 12 [45312/48700]	Loss: 0.9263	LR: 0.100000
Training Epoch: 12 [45568/48700]	Loss: 1.1016	LR: 0.100000
Training Epoch: 12 [45824/48700]	Loss: 0.8974	LR: 0.100000
Training Epoch: 12 [46080/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 12 [46336/48700]	Loss: 0.9002	LR: 0.100000
Training Epoch: 12 [46592/48700]	Loss: 0.9110	LR: 0.100000
Training Epoch: 12 [46848/48700]	Loss: 0.9196	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 0.9028	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 0.9930	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 0.8776	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 0.9977	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 1.0334	LR: 0.100000
Training Epoch: 12 [48384/48700]	Loss: 0.9954	LR: 0.100000
Training Epoch: 12 [48640/48700]	Loss: 1.0050	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 1.1871	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9641, Train Accuracy: 0.6889
Epoch 12 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0045, Accuracy: 0.6492, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.8643	LR: 0.100000
Training Epoch: 13 [512/48700]	Loss: 0.9357	LR: 0.100000
Training Epoch: 13 [768/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 13 [1024/48700]	Loss: 0.9817	LR: 0.100000
Training Epoch: 13 [1280/48700]	Loss: 1.0017	LR: 0.100000
Training Epoch: 13 [1536/48700]	Loss: 0.8529	LR: 0.100000
Training Epoch: 13 [1792/48700]	Loss: 0.9954	LR: 0.100000
Training Epoch: 13 [2048/48700]	Loss: 0.9747	LR: 0.100000
Training Epoch: 13 [2304/48700]	Loss: 1.0348	LR: 0.100000
Training Epoch: 13 [2560/48700]	Loss: 1.0365	LR: 0.100000
Training Epoch: 13 [2816/48700]	Loss: 1.0390	LR: 0.100000
Training Epoch: 13 [3072/48700]	Loss: 1.0087	LR: 0.100000
Training Epoch: 13 [3328/48700]	Loss: 0.9597	LR: 0.100000
Training Epoch: 13 [3584/48700]	Loss: 0.9550	LR: 0.100000
Training Epoch: 13 [3840/48700]	Loss: 0.9257	LR: 0.100000
Training Epoch: 13 [4096/48700]	Loss: 0.8466	LR: 0.100000
Training Epoch: 13 [4352/48700]	Loss: 0.8942	LR: 0.100000
Training Epoch: 13 [4608/48700]	Loss: 0.9567	LR: 0.100000
Training Epoch: 13 [4864/48700]	Loss: 0.8581	LR: 0.100000
Training Epoch: 13 [5120/48700]	Loss: 1.0043	LR: 0.100000
Training Epoch: 13 [5376/48700]	Loss: 1.0395	LR: 0.100000
Training Epoch: 13 [5632/48700]	Loss: 1.0626	LR: 0.100000
Training Epoch: 13 [5888/48700]	Loss: 0.8919	LR: 0.100000
Training Epoch: 13 [6144/48700]	Loss: 0.7909	LR: 0.100000
Training Epoch: 13 [6400/48700]	Loss: 0.9853	LR: 0.100000
Training Epoch: 13 [6656/48700]	Loss: 0.9505	LR: 0.100000
Training Epoch: 13 [6912/48700]	Loss: 0.9807	LR: 0.100000
Training Epoch: 13 [7168/48700]	Loss: 0.9470	LR: 0.100000
Training Epoch: 13 [7424/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 13 [7680/48700]	Loss: 1.0379	LR: 0.100000
Training Epoch: 13 [7936/48700]	Loss: 0.9303	LR: 0.100000
Training Epoch: 13 [8192/48700]	Loss: 0.9326	LR: 0.100000
Training Epoch: 13 [8448/48700]	Loss: 0.8897	LR: 0.100000
Training Epoch: 13 [8704/48700]	Loss: 0.8678	LR: 0.100000
Training Epoch: 13 [8960/48700]	Loss: 0.9869	LR: 0.100000
Training Epoch: 13 [9216/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 13 [9472/48700]	Loss: 0.8599	LR: 0.100000
Training Epoch: 13 [9728/48700]	Loss: 0.6889	LR: 0.100000
Training Epoch: 13 [9984/48700]	Loss: 0.9321	LR: 0.100000
Training Epoch: 13 [10240/48700]	Loss: 1.0210	LR: 0.100000
Training Epoch: 13 [10496/48700]	Loss: 0.7917	LR: 0.100000
Training Epoch: 13 [10752/48700]	Loss: 1.0470	LR: 0.100000
Training Epoch: 13 [11008/48700]	Loss: 0.8658	LR: 0.100000
Training Epoch: 13 [11264/48700]	Loss: 0.9957	LR: 0.100000
Training Epoch: 13 [11520/48700]	Loss: 0.9404	LR: 0.100000
Training Epoch: 13 [11776/48700]	Loss: 0.9609	LR: 0.100000
Training Epoch: 13 [12032/48700]	Loss: 0.9837	LR: 0.100000
Training Epoch: 13 [12288/48700]	Loss: 0.8367	LR: 0.100000
Training Epoch: 13 [12544/48700]	Loss: 0.8656	LR: 0.100000
Training Epoch: 13 [12800/48700]	Loss: 0.9568	LR: 0.100000
Training Epoch: 13 [13056/48700]	Loss: 0.8848	LR: 0.100000
Training Epoch: 13 [13312/48700]	Loss: 0.9038	LR: 0.100000
Training Epoch: 13 [13568/48700]	Loss: 0.8377	LR: 0.100000
Training Epoch: 13 [13824/48700]	Loss: 0.8426	LR: 0.100000
Training Epoch: 13 [14080/48700]	Loss: 0.8917	LR: 0.100000
Training Epoch: 13 [14336/48700]	Loss: 0.7106	LR: 0.100000
Training Epoch: 13 [14592/48700]	Loss: 0.9570	LR: 0.100000
Training Epoch: 13 [14848/48700]	Loss: 0.9520	LR: 0.100000
Training Epoch: 13 [15104/48700]	Loss: 0.9597	LR: 0.100000
Training Epoch: 13 [15360/48700]	Loss: 0.8564	LR: 0.100000
Training Epoch: 13 [15616/48700]	Loss: 0.9322	LR: 0.100000
Training Epoch: 13 [15872/48700]	Loss: 0.8376	LR: 0.100000
Training Epoch: 13 [16128/48700]	Loss: 1.0041	LR: 0.100000
Training Epoch: 13 [16384/48700]	Loss: 0.8982	LR: 0.100000
Training Epoch: 13 [16640/48700]	Loss: 0.9899	LR: 0.100000
Training Epoch: 13 [16896/48700]	Loss: 0.8756	LR: 0.100000
Training Epoch: 13 [17152/48700]	Loss: 0.7638	LR: 0.100000
Training Epoch: 13 [17408/48700]	Loss: 0.8467	LR: 0.100000
Training Epoch: 13 [17664/48700]	Loss: 0.9290	LR: 0.100000
Training Epoch: 13 [17920/48700]	Loss: 0.8529	LR: 0.100000
Training Epoch: 13 [18176/48700]	Loss: 0.9348	LR: 0.100000
Training Epoch: 13 [18432/48700]	Loss: 0.9857	LR: 0.100000
Training Epoch: 13 [18688/48700]	Loss: 0.8305	LR: 0.100000
Training Epoch: 13 [18944/48700]	Loss: 0.8773	LR: 0.100000
Training Epoch: 13 [19200/48700]	Loss: 1.0428	LR: 0.100000
Training Epoch: 13 [19456/48700]	Loss: 0.9735	LR: 0.100000
Training Epoch: 13 [19712/48700]	Loss: 0.8711	LR: 0.100000
Training Epoch: 13 [19968/48700]	Loss: 0.8549	LR: 0.100000
Training Epoch: 13 [20224/48700]	Loss: 0.9307	LR: 0.100000
Training Epoch: 13 [20480/48700]	Loss: 0.8477	LR: 0.100000
Training Epoch: 13 [20736/48700]	Loss: 0.9173	LR: 0.100000
Training Epoch: 13 [20992/48700]	Loss: 0.8931	LR: 0.100000
Training Epoch: 13 [21248/48700]	Loss: 0.8722	LR: 0.100000
Training Epoch: 13 [21504/48700]	Loss: 0.8168	LR: 0.100000
Training Epoch: 13 [21760/48700]	Loss: 0.9031	LR: 0.100000
Training Epoch: 13 [22016/48700]	Loss: 0.9884	LR: 0.100000
Training Epoch: 13 [22272/48700]	Loss: 1.0362	LR: 0.100000
Training Epoch: 13 [22528/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 13 [22784/48700]	Loss: 0.9334	LR: 0.100000
Training Epoch: 13 [23040/48700]	Loss: 0.9329	LR: 0.100000
Training Epoch: 13 [23296/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 13 [23552/48700]	Loss: 0.9362	LR: 0.100000
Training Epoch: 13 [23808/48700]	Loss: 0.8738	LR: 0.100000
Training Epoch: 13 [24064/48700]	Loss: 1.0865	LR: 0.100000
Training Epoch: 13 [24320/48700]	Loss: 0.8209	LR: 0.100000
Training Epoch: 13 [24576/48700]	Loss: 0.9677	LR: 0.100000
Training Epoch: 13 [24832/48700]	Loss: 0.8467	LR: 0.100000
Training Epoch: 13 [25088/48700]	Loss: 1.0660	LR: 0.100000
Training Epoch: 13 [25344/48700]	Loss: 0.9569	LR: 0.100000
Training Epoch: 13 [25600/48700]	Loss: 0.8664	LR: 0.100000
Training Epoch: 13 [25856/48700]	Loss: 0.9559	LR: 0.100000
Training Epoch: 13 [26112/48700]	Loss: 1.0132	LR: 0.100000
Training Epoch: 13 [26368/48700]	Loss: 0.9432	LR: 0.100000
Training Epoch: 13 [26624/48700]	Loss: 1.0925	LR: 0.100000
Training Epoch: 13 [26880/48700]	Loss: 0.8905	LR: 0.100000
Training Epoch: 13 [27136/48700]	Loss: 0.9980	LR: 0.100000
Training Epoch: 13 [27392/48700]	Loss: 0.9856	LR: 0.100000
Training Epoch: 13 [27648/48700]	Loss: 0.8777	LR: 0.100000
Training Epoch: 13 [27904/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 13 [28160/48700]	Loss: 0.9148	LR: 0.100000
Training Epoch: 13 [28416/48700]	Loss: 0.8409	LR: 0.100000
Training Epoch: 13 [28672/48700]	Loss: 0.9748	LR: 0.100000
Training Epoch: 13 [28928/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 13 [29184/48700]	Loss: 0.9967	LR: 0.100000
Training Epoch: 13 [29440/48700]	Loss: 0.9656	LR: 0.100000
Training Epoch: 13 [29696/48700]	Loss: 0.9526	LR: 0.100000
Training Epoch: 13 [29952/48700]	Loss: 0.8945	LR: 0.100000
Training Epoch: 13 [30208/48700]	Loss: 1.0880	LR: 0.100000
Training Epoch: 13 [30464/48700]	Loss: 1.0045	LR: 0.100000
Training Epoch: 13 [30720/48700]	Loss: 0.9275	LR: 0.100000
Training Epoch: 13 [30976/48700]	Loss: 0.8919	LR: 0.100000
Training Epoch: 13 [31232/48700]	Loss: 0.8991	LR: 0.100000
Training Epoch: 13 [31488/48700]	Loss: 0.9492	LR: 0.100000
Training Epoch: 13 [31744/48700]	Loss: 0.8635	LR: 0.100000
Training Epoch: 13 [32000/48700]	Loss: 0.9364	LR: 0.100000
Training Epoch: 13 [32256/48700]	Loss: 0.9274	LR: 0.100000
Training Epoch: 13 [32512/48700]	Loss: 0.9538	LR: 0.100000
Training Epoch: 13 [32768/48700]	Loss: 0.8681	LR: 0.100000
Training Epoch: 13 [33024/48700]	Loss: 0.8862	LR: 0.100000
Training Epoch: 13 [33280/48700]	Loss: 1.0013	LR: 0.100000
Training Epoch: 13 [33536/48700]	Loss: 0.8952	LR: 0.100000
Training Epoch: 13 [33792/48700]	Loss: 0.9899	LR: 0.100000
Training Epoch: 13 [34048/48700]	Loss: 0.9112	LR: 0.100000
Training Epoch: 13 [34304/48700]	Loss: 1.1006	LR: 0.100000
Training Epoch: 13 [34560/48700]	Loss: 0.9076	LR: 0.100000
Training Epoch: 13 [34816/48700]	Loss: 0.9184	LR: 0.100000
Training Epoch: 13 [35072/48700]	Loss: 0.8594	LR: 0.100000
Training Epoch: 13 [35328/48700]	Loss: 0.9981	LR: 0.100000
Training Epoch: 13 [35584/48700]	Loss: 0.7636	LR: 0.100000
Training Epoch: 13 [35840/48700]	Loss: 1.0031	LR: 0.100000
Training Epoch: 13 [36096/48700]	Loss: 1.0269	LR: 0.100000
Training Epoch: 13 [36352/48700]	Loss: 0.9482	LR: 0.100000
Training Epoch: 13 [36608/48700]	Loss: 0.9356	LR: 0.100000
Training Epoch: 13 [36864/48700]	Loss: 0.9169	LR: 0.100000
Training Epoch: 13 [37120/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 13 [37376/48700]	Loss: 0.9427	LR: 0.100000
Training Epoch: 13 [37632/48700]	Loss: 0.9856	LR: 0.100000
Training Epoch: 13 [37888/48700]	Loss: 0.8925	LR: 0.100000
Training Epoch: 13 [38144/48700]	Loss: 0.9980	LR: 0.100000
Training Epoch: 13 [38400/48700]	Loss: 0.9026	LR: 0.100000
Training Epoch: 13 [38656/48700]	Loss: 0.8618	LR: 0.100000
Training Epoch: 13 [38912/48700]	Loss: 1.0347	LR: 0.100000
Training Epoch: 13 [39168/48700]	Loss: 1.0383	LR: 0.100000
Training Epoch: 13 [39424/48700]	Loss: 0.8901	LR: 0.100000
Training Epoch: 13 [39680/48700]	Loss: 0.9321	LR: 0.100000
Training Epoch: 13 [39936/48700]	Loss: 0.8783	LR: 0.100000
Training Epoch: 13 [40192/48700]	Loss: 0.9866	LR: 0.100000
Training Epoch: 13 [40448/48700]	Loss: 1.0622	LR: 0.100000
Training Epoch: 13 [40704/48700]	Loss: 0.9409	LR: 0.100000
Training Epoch: 13 [40960/48700]	Loss: 0.8767	LR: 0.100000
Training Epoch: 13 [41216/48700]	Loss: 0.9755	LR: 0.100000
Training Epoch: 13 [41472/48700]	Loss: 0.8675	LR: 0.100000
Training Epoch: 13 [41728/48700]	Loss: 0.9686	LR: 0.100000
Training Epoch: 13 [41984/48700]	Loss: 0.9308	LR: 0.100000
Training Epoch: 13 [42240/48700]	Loss: 1.0267	LR: 0.100000
Training Epoch: 13 [42496/48700]	Loss: 0.9287	LR: 0.100000
Training Epoch: 13 [42752/48700]	Loss: 0.9983	LR: 0.100000
Training Epoch: 13 [43008/48700]	Loss: 0.9193	LR: 0.100000
Training Epoch: 13 [43264/48700]	Loss: 0.9844	LR: 0.100000
Training Epoch: 13 [43520/48700]	Loss: 0.9147	LR: 0.100000
Training Epoch: 13 [43776/48700]	Loss: 0.9200	LR: 0.100000
Training Epoch: 13 [44032/48700]	Loss: 0.9389	LR: 0.100000
Training Epoch: 13 [44288/48700]	Loss: 0.8218	LR: 0.100000
Training Epoch: 13 [44544/48700]	Loss: 0.8415	LR: 0.100000
Training Epoch: 13 [44800/48700]	Loss: 1.1028	LR: 0.100000
Training Epoch: 13 [45056/48700]	Loss: 0.9223	LR: 0.100000
Training Epoch: 13 [45312/48700]	Loss: 1.0652	LR: 0.100000
Training Epoch: 13 [45568/48700]	Loss: 0.8922	LR: 0.100000
Training Epoch: 13 [45824/48700]	Loss: 0.9224	LR: 0.100000
Training Epoch: 13 [46080/48700]	Loss: 0.9624	LR: 0.100000
Training Epoch: 13 [46336/48700]	Loss: 1.0682	LR: 0.100000
Training Epoch: 13 [46592/48700]	Loss: 0.9356	LR: 0.100000
Training Epoch: 13 [46848/48700]	Loss: 0.8730	LR: 0.100000
Training Epoch: 13 [47104/48700]	Loss: 0.9096	LR: 0.100000
Training Epoch: 13 [47360/48700]	Loss: 1.0507	LR: 0.100000
Training Epoch: 13 [47616/48700]	Loss: 0.7652	LR: 0.100000
Training Epoch: 13 [47872/48700]	Loss: 0.8491	LR: 0.100000
Training Epoch: 13 [48128/48700]	Loss: 0.9491	LR: 0.100000
Training Epoch: 13 [48384/48700]	Loss: 0.9260	LR: 0.100000
Training Epoch: 13 [48640/48700]	Loss: 0.8753	LR: 0.100000
Training Epoch: 13 [48700/48700]	Loss: 0.8190	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9338, Train Accuracy: 0.6961
Epoch 13 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6494, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.8059	LR: 0.100000
Training Epoch: 14 [512/48700]	Loss: 0.8360	LR: 0.100000
Training Epoch: 14 [768/48700]	Loss: 0.8749	LR: 0.100000
Training Epoch: 14 [1024/48700]	Loss: 0.9034	LR: 0.100000
Training Epoch: 14 [1280/48700]	Loss: 0.8205	LR: 0.100000
Training Epoch: 14 [1536/48700]	Loss: 0.8363	LR: 0.100000
Training Epoch: 14 [1792/48700]	Loss: 1.0156	LR: 0.100000
Training Epoch: 14 [2048/48700]	Loss: 0.7564	LR: 0.100000
Training Epoch: 14 [2304/48700]	Loss: 0.9394	LR: 0.100000
Training Epoch: 14 [2560/48700]	Loss: 0.8975	LR: 0.100000
Training Epoch: 14 [2816/48700]	Loss: 0.8273	LR: 0.100000
Training Epoch: 14 [3072/48700]	Loss: 0.7855	LR: 0.100000
Training Epoch: 14 [3328/48700]	Loss: 0.8382	LR: 0.100000
Training Epoch: 14 [3584/48700]	Loss: 0.9682	LR: 0.100000
Training Epoch: 14 [3840/48700]	Loss: 0.8904	LR: 0.100000
Training Epoch: 14 [4096/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 14 [4352/48700]	Loss: 0.7398	LR: 0.100000
Training Epoch: 14 [4608/48700]	Loss: 0.9431	LR: 0.100000
Training Epoch: 14 [4864/48700]	Loss: 0.9873	LR: 0.100000
Training Epoch: 14 [5120/48700]	Loss: 0.9588	LR: 0.100000
Training Epoch: 14 [5376/48700]	Loss: 0.8909	LR: 0.100000
Training Epoch: 14 [5632/48700]	Loss: 0.9864	LR: 0.100000
Training Epoch: 14 [5888/48700]	Loss: 0.8192	LR: 0.100000
Training Epoch: 14 [6144/48700]	Loss: 0.6886	LR: 0.100000
Training Epoch: 14 [6400/48700]	Loss: 0.7581	LR: 0.100000
Training Epoch: 14 [6656/48700]	Loss: 0.8930	LR: 0.100000
Training Epoch: 14 [6912/48700]	Loss: 0.8514	LR: 0.100000
Training Epoch: 14 [7168/48700]	Loss: 0.9703	LR: 0.100000
Training Epoch: 14 [7424/48700]	Loss: 0.7947	LR: 0.100000
Training Epoch: 14 [7680/48700]	Loss: 0.8573	LR: 0.100000
Training Epoch: 14 [7936/48700]	Loss: 1.0717	LR: 0.100000
Training Epoch: 14 [8192/48700]	Loss: 0.9678	LR: 0.100000
Training Epoch: 14 [8448/48700]	Loss: 0.9616	LR: 0.100000
Training Epoch: 14 [8704/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 14 [8960/48700]	Loss: 0.9108	LR: 0.100000
Training Epoch: 14 [9216/48700]	Loss: 0.8077	LR: 0.100000
Training Epoch: 14 [9472/48700]	Loss: 0.9542	LR: 0.100000
Training Epoch: 14 [9728/48700]	Loss: 0.8480	LR: 0.100000
Training Epoch: 14 [9984/48700]	Loss: 0.9113	LR: 0.100000
Training Epoch: 14 [10240/48700]	Loss: 0.8730	LR: 0.100000
Training Epoch: 14 [10496/48700]	Loss: 0.8886	LR: 0.100000
Training Epoch: 14 [10752/48700]	Loss: 0.7772	LR: 0.100000
Training Epoch: 14 [11008/48700]	Loss: 0.9034	LR: 0.100000
Training Epoch: 14 [11264/48700]	Loss: 0.7796	LR: 0.100000
Training Epoch: 14 [11520/48700]	Loss: 0.8627	LR: 0.100000
Training Epoch: 14 [11776/48700]	Loss: 0.9999	LR: 0.100000
Training Epoch: 14 [12032/48700]	Loss: 0.9321	LR: 0.100000
Training Epoch: 14 [12288/48700]	Loss: 0.9365	LR: 0.100000
Training Epoch: 14 [12544/48700]	Loss: 0.8834	LR: 0.100000
Training Epoch: 14 [12800/48700]	Loss: 0.9198	LR: 0.100000
Training Epoch: 14 [13056/48700]	Loss: 0.9219	LR: 0.100000
Training Epoch: 14 [13312/48700]	Loss: 0.8029	LR: 0.100000
Training Epoch: 14 [13568/48700]	Loss: 0.9940	LR: 0.100000
Training Epoch: 14 [13824/48700]	Loss: 0.7947	LR: 0.100000
Training Epoch: 14 [14080/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 14 [14336/48700]	Loss: 0.7847	LR: 0.100000
Training Epoch: 14 [14592/48700]	Loss: 1.0609	LR: 0.100000
Training Epoch: 14 [14848/48700]	Loss: 0.9845	LR: 0.100000
Training Epoch: 14 [15104/48700]	Loss: 0.9408	LR: 0.100000
Training Epoch: 14 [15360/48700]	Loss: 0.8332	LR: 0.100000
Training Epoch: 14 [15616/48700]	Loss: 0.8162	LR: 0.100000
Training Epoch: 14 [15872/48700]	Loss: 0.8928	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 0.9507	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 0.8881	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 0.8899	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.7825	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.9690	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.9352	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.7845	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.8076	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.7981	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 1.1156	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 0.9648	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 0.8386	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 0.9079	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.8413	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.7129	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 0.7584	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 0.8353	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.9021	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 0.9424	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.9692	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.8932	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.8968	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.9597	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 1.0514	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.7959	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 1.0103	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.7585	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.8549	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.9797	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.9285	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 0.7437	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 0.9614	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.7980	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.9101	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 0.8858	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.8653	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9503	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.8843	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 0.8804	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.9023	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.9581	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 0.8365	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 0.9970	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.8024	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.8080	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.9138	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.9719	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.8308	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.7609	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.9657	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.7749	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.8511	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.8295	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.8781	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 0.9445	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.8902	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 0.9442	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9533	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 0.8009	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.8996	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.8669	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.9214	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.9378	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.9900	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.8737	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.8700	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.8477	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 1.0175	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 0.9579	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 1.0083	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.8822	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9832	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.8371	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9497	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 0.8973	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.8964	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 0.9375	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.7990	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.9124	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 0.8723	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.9104	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.8059	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.8376	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.8760	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 0.9115	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.9147	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 0.9540	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 1.0329	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.9776	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 1.0275	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 0.7385	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.9560	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 1.0722	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9607	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 0.8761	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.9261	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.9386	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.8433	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 0.9688	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 0.9388	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 0.9292	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 1.0129	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.8510	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 1.0409	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 0.8688	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 0.8515	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.9290	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 0.9564	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 0.9056	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 0.9843	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.9008	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.8876	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.9554	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 0.8167	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.9457	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 0.9774	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 0.9182	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 0.8175	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 0.8989	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.9905	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 0.9606	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9475	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 0.9970	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 1.0110	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.9374	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.9433	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8996, Train Accuracy: 0.7083
Epoch 14 training time consumed: 29.60s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0042, Accuracy: 0.6648, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-14-best.pth
Training Epoch: 15 [256/48700]	Loss: 0.9992	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8742	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 0.8081	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.8435	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.7609	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.7810	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.8353	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.7633	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8159	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.6886	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.6664	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.8414	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.7287	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.6527	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.8242	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.7797	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.7579	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.8826	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.7308	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.8283	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.7251	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.6879	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.6318	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7493	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.6957	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.8496	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.7383	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.7495	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.7532	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.6590	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.8220	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.7227	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7511	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.7032	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.7239	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.6749	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.8181	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.6249	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.8172	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.7013	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.7829	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.6767	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.6888	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7727	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.6683	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.6516	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.7317	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.7023	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.7111	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.6502	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.8296	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.6847	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.6466	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.6668	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.6903	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.6577	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.5722	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.7353	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.6495	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.5998	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.5738	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.7257	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.7193	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.6410	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.5928	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.6671	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.6066	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.7410	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.6823	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.7362	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.6560	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.6348	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.6439	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.8111	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.6323	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.6225	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.6371	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.6680	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.7363	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.6500	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.7870	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.6928	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.7120	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.7289	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.6615	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.6305	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.5854	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.6214	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.6382	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.7390	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.7149	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.5979	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6190	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.6425	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.7371	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.6039	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.6121	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.7074	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.6660	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.6900	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.6400	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.7267	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.6678	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.6953	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.6513	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.6472	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.6485	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.6751	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.5810	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.6217	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.6106	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.6355	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.6339	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.8113	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.7261	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.6533	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6020	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.6925	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [42240/48700]	Loss: 0.5729	LR: 0.020000
Training Epoch: 15 [42496/48700]	Loss: 0.7100	LR: 0.020000
Training Epoch: 15 [42752/48700]	Loss: 0.6889	LR: 0.020000
Training Epoch: 15 [43008/48700]	Loss: 0.7141	LR: 0.020000
Training Epoch: 15 [43264/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 15 [43520/48700]	Loss: 0.6306	LR: 0.020000
Training Epoch: 15 [43776/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 15 [44032/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 15 [44288/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 15 [44544/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 15 [44800/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 15 [45056/48700]	Loss: 0.5992	LR: 0.020000
Training Epoch: 15 [45312/48700]	Loss: 0.6337	LR: 0.020000
Training Epoch: 15 [45568/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 15 [45824/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 15 [46080/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 15 [46336/48700]	Loss: 0.7002	LR: 0.020000
Training Epoch: 15 [46592/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 15 [46848/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 15 [47104/48700]	Loss: 0.6420	LR: 0.020000
Training Epoch: 15 [47360/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 15 [47616/48700]	Loss: 0.6762	LR: 0.020000
Training Epoch: 15 [47872/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.5997	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.5988	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.4727	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6638, Train Accuracy: 0.7851
Epoch 15 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7598, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5433	LR: 0.020000
Training Epoch: 16 [512/48700]	Loss: 0.6083	LR: 0.020000
Training Epoch: 16 [768/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 16 [1024/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 16 [1280/48700]	Loss: 0.5385	LR: 0.020000
Training Epoch: 16 [1536/48700]	Loss: 0.5979	LR: 0.020000
Training Epoch: 16 [1792/48700]	Loss: 0.6238	LR: 0.020000
Training Epoch: 16 [2048/48700]	Loss: 0.7827	LR: 0.020000
Training Epoch: 16 [2304/48700]	Loss: 0.6257	LR: 0.020000
Training Epoch: 16 [2560/48700]	Loss: 0.6163	LR: 0.020000
Training Epoch: 16 [2816/48700]	Loss: 0.5960	LR: 0.020000
Training Epoch: 16 [3072/48700]	Loss: 0.7257	LR: 0.020000
Training Epoch: 16 [3328/48700]	Loss: 0.6220	LR: 0.020000
Training Epoch: 16 [3584/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 16 [3840/48700]	Loss: 0.6480	LR: 0.020000
Training Epoch: 16 [4096/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 16 [4352/48700]	Loss: 0.6725	LR: 0.020000
Training Epoch: 16 [4608/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 16 [4864/48700]	Loss: 0.4728	LR: 0.020000
Training Epoch: 16 [5120/48700]	Loss: 0.5746	LR: 0.020000
Training Epoch: 16 [5376/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 16 [5632/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 16 [5888/48700]	Loss: 0.6254	LR: 0.020000
Training Epoch: 16 [6144/48700]	Loss: 0.6277	LR: 0.020000
Training Epoch: 16 [6400/48700]	Loss: 0.5274	LR: 0.020000
Training Epoch: 16 [6656/48700]	Loss: 0.5800	LR: 0.020000
Training Epoch: 16 [6912/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 16 [7168/48700]	Loss: 0.4856	LR: 0.020000
Training Epoch: 16 [7424/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 16 [7680/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 16 [7936/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 16 [8192/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 16 [8448/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 16 [8704/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 16 [8960/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 16 [9216/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 16 [9472/48700]	Loss: 0.5753	LR: 0.020000
Training Epoch: 16 [9728/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 16 [9984/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 16 [10240/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 16 [10496/48700]	Loss: 0.6244	LR: 0.020000
Training Epoch: 16 [10752/48700]	Loss: 0.5933	LR: 0.020000
Training Epoch: 16 [11008/48700]	Loss: 0.6254	LR: 0.020000
Training Epoch: 16 [11264/48700]	Loss: 0.7050	LR: 0.020000
Training Epoch: 16 [11520/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 16 [11776/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 16 [12032/48700]	Loss: 0.5380	LR: 0.020000
Training Epoch: 16 [12288/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 16 [12544/48700]	Loss: 0.5125	LR: 0.020000
Training Epoch: 16 [12800/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 16 [13056/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 16 [13312/48700]	Loss: 0.4609	LR: 0.020000
Training Epoch: 16 [13568/48700]	Loss: 0.5300	LR: 0.020000
Training Epoch: 16 [13824/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 16 [14080/48700]	Loss: 0.5794	LR: 0.020000
Training Epoch: 16 [14336/48700]	Loss: 0.4797	LR: 0.020000
Training Epoch: 16 [14592/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 16 [14848/48700]	Loss: 0.5957	LR: 0.020000
Training Epoch: 16 [15104/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 16 [15360/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 16 [15616/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 16 [15872/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 16 [16128/48700]	Loss: 0.7368	LR: 0.020000
Training Epoch: 16 [16384/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 16 [16640/48700]	Loss: 0.7360	LR: 0.020000
Training Epoch: 16 [16896/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 16 [17152/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 16 [17408/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 16 [17664/48700]	Loss: 0.6162	LR: 0.020000
Training Epoch: 16 [17920/48700]	Loss: 0.6075	LR: 0.020000
Training Epoch: 16 [18176/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 16 [18432/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 16 [18688/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 16 [18944/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 16 [19200/48700]	Loss: 0.6207	LR: 0.020000
Training Epoch: 16 [19456/48700]	Loss: 0.6518	LR: 0.020000
Training Epoch: 16 [19712/48700]	Loss: 0.6356	LR: 0.020000
Training Epoch: 16 [19968/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 16 [20224/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 16 [20480/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 16 [20736/48700]	Loss: 0.6218	LR: 0.020000
Training Epoch: 16 [20992/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 16 [21248/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 16 [21504/48700]	Loss: 0.6257	LR: 0.020000
Training Epoch: 16 [21760/48700]	Loss: 0.5437	LR: 0.020000
Training Epoch: 16 [22016/48700]	Loss: 0.6328	LR: 0.020000
Training Epoch: 16 [22272/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 16 [22528/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 16 [22784/48700]	Loss: 0.5859	LR: 0.020000
Training Epoch: 16 [23040/48700]	Loss: 0.5997	LR: 0.020000
Training Epoch: 16 [23296/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 16 [23552/48700]	Loss: 0.6307	LR: 0.020000
Training Epoch: 16 [23808/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 16 [24064/48700]	Loss: 0.5774	LR: 0.020000
Training Epoch: 16 [24320/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 16 [24576/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 16 [24832/48700]	Loss: 0.6700	LR: 0.020000
Training Epoch: 16 [25088/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 16 [25344/48700]	Loss: 0.6728	LR: 0.020000
Training Epoch: 16 [25600/48700]	Loss: 0.6496	LR: 0.020000
Training Epoch: 16 [25856/48700]	Loss: 0.6250	LR: 0.020000
Training Epoch: 16 [26112/48700]	Loss: 0.6429	LR: 0.020000
Training Epoch: 16 [26368/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 16 [26624/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 16 [26880/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 16 [27136/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 16 [27392/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 16 [27648/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 16 [27904/48700]	Loss: 0.5614	LR: 0.020000
Training Epoch: 16 [28160/48700]	Loss: 0.5578	LR: 0.020000
Training Epoch: 16 [28416/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 16 [28672/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 16 [28928/48700]	Loss: 0.6970	LR: 0.020000
Training Epoch: 16 [29184/48700]	Loss: 0.4678	LR: 0.020000
Training Epoch: 16 [29440/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 16 [29696/48700]	Loss: 0.6266	LR: 0.020000
Training Epoch: 16 [29952/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 16 [30208/48700]	Loss: 0.5750	LR: 0.020000
Training Epoch: 16 [30464/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 16 [30720/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 16 [30976/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 16 [31232/48700]	Loss: 0.5847	LR: 0.020000
Training Epoch: 16 [31488/48700]	Loss: 0.6614	LR: 0.020000
Training Epoch: 16 [31744/48700]	Loss: 0.6283	LR: 0.020000
Training Epoch: 16 [32000/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 16 [32256/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 16 [32512/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 16 [32768/48700]	Loss: 0.6548	LR: 0.020000
Training Epoch: 16 [33024/48700]	Loss: 0.6028	LR: 0.020000
Training Epoch: 16 [33280/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 16 [33536/48700]	Loss: 0.6149	LR: 0.020000
Training Epoch: 16 [33792/48700]	Loss: 0.6186	LR: 0.020000
Training Epoch: 16 [34048/48700]	Loss: 0.5976	LR: 0.020000
Training Epoch: 16 [34304/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 16 [34560/48700]	Loss: 0.6192	LR: 0.020000
Training Epoch: 16 [34816/48700]	Loss: 0.6286	LR: 0.020000
Training Epoch: 16 [35072/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 16 [35328/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 16 [35584/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 16 [35840/48700]	Loss: 0.5408	LR: 0.020000
Training Epoch: 16 [36096/48700]	Loss: 0.6128	LR: 0.020000
Training Epoch: 16 [36352/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 16 [36608/48700]	Loss: 0.6118	LR: 0.020000
Training Epoch: 16 [36864/48700]	Loss: 0.6328	LR: 0.020000
Training Epoch: 16 [37120/48700]	Loss: 0.5588	LR: 0.020000
Training Epoch: 16 [37376/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 16 [37632/48700]	Loss: 0.6780	LR: 0.020000
Training Epoch: 16 [37888/48700]	Loss: 0.5932	LR: 0.020000
Training Epoch: 16 [38144/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 16 [38400/48700]	Loss: 0.5285	LR: 0.020000
Training Epoch: 16 [38656/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 16 [38912/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 16 [39168/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 16 [39424/48700]	Loss: 0.5936	LR: 0.020000
Training Epoch: 16 [39680/48700]	Loss: 0.6855	LR: 0.020000
Training Epoch: 16 [39936/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 16 [40192/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 16 [40448/48700]	Loss: 0.6232	LR: 0.020000
Training Epoch: 16 [40704/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 16 [40960/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 16 [41216/48700]	Loss: 0.6585	LR: 0.020000
Training Epoch: 16 [41472/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 16 [41728/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 16 [41984/48700]	Loss: 0.5385	LR: 0.020000
Training Epoch: 16 [42240/48700]	Loss: 0.5485	LR: 0.020000
Training Epoch: 16 [42496/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 16 [42752/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 16 [43008/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 16 [43264/48700]	Loss: 0.5813	LR: 0.020000
Training Epoch: 16 [43520/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 16 [43776/48700]	Loss: 0.6420	LR: 0.020000
Training Epoch: 16 [44032/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 16 [44288/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 16 [44544/48700]	Loss: 0.7008	LR: 0.020000
Training Epoch: 16 [44800/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 16 [45056/48700]	Loss: 0.6236	LR: 0.020000
Training Epoch: 16 [45312/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 16 [45568/48700]	Loss: 0.6561	LR: 0.020000
Training Epoch: 16 [45824/48700]	Loss: 0.7430	LR: 0.020000
Training Epoch: 16 [46080/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 16 [46336/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 16 [46592/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 16 [46848/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 16 [47104/48700]	Loss: 0.5862	LR: 0.020000
Training Epoch: 16 [47360/48700]	Loss: 0.6613	LR: 0.020000
Training Epoch: 16 [47616/48700]	Loss: 0.6393	LR: 0.020000
Training Epoch: 16 [47872/48700]	Loss: 0.6257	LR: 0.020000
Training Epoch: 16 [48128/48700]	Loss: 0.5761	LR: 0.020000
Training Epoch: 16 [48384/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 16 [48640/48700]	Loss: 0.4724	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.5979	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5799, Train Accuracy: 0.8098
Epoch 16 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0028, Accuracy: 0.7722, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 17 [512/48700]	Loss: 0.4022	LR: 0.020000
Training Epoch: 17 [768/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 17 [1024/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 17 [1280/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 17 [1536/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 17 [1792/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 17 [2048/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 17 [2304/48700]	Loss: 0.6098	LR: 0.020000
Training Epoch: 17 [2560/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 17 [2816/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 17 [3072/48700]	Loss: 0.4159	LR: 0.020000
Training Epoch: 17 [3328/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 17 [3584/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 17 [3840/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 17 [4096/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 17 [4352/48700]	Loss: 0.6819	LR: 0.020000
Training Epoch: 17 [4608/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 17 [4864/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 17 [5120/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 17 [5376/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 17 [5632/48700]	Loss: 0.5509	LR: 0.020000
Training Epoch: 17 [5888/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 17 [6144/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 17 [6400/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 17 [6656/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 17 [6912/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 17 [7168/48700]	Loss: 0.5012	LR: 0.020000
Training Epoch: 17 [7424/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 17 [7680/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 17 [7936/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 17 [8192/48700]	Loss: 0.5309	LR: 0.020000
Training Epoch: 17 [8448/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 17 [8704/48700]	Loss: 0.6211	LR: 0.020000
Training Epoch: 17 [8960/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 17 [9216/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 17 [9472/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 17 [9728/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 17 [9984/48700]	Loss: 0.4886	LR: 0.020000
Training Epoch: 17 [10240/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 17 [10496/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 17 [10752/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 17 [11008/48700]	Loss: 0.4107	LR: 0.020000
Training Epoch: 17 [11264/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 17 [11520/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 17 [11776/48700]	Loss: 0.5952	LR: 0.020000
Training Epoch: 17 [12032/48700]	Loss: 0.5218	LR: 0.020000
Training Epoch: 17 [12288/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 17 [12544/48700]	Loss: 0.5714	LR: 0.020000
Training Epoch: 17 [12800/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 17 [13056/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 17 [13312/48700]	Loss: 0.6122	LR: 0.020000
Training Epoch: 17 [13568/48700]	Loss: 0.6306	LR: 0.020000
Training Epoch: 17 [13824/48700]	Loss: 0.6469	LR: 0.020000
Training Epoch: 17 [14080/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 17 [14336/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 17 [14592/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 17 [14848/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 17 [15104/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 17 [15360/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 17 [15616/48700]	Loss: 0.5951	LR: 0.020000
Training Epoch: 17 [15872/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 17 [16128/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 17 [16384/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 17 [16640/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 17 [16896/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 17 [17152/48700]	Loss: 0.5595	LR: 0.020000
Training Epoch: 17 [17408/48700]	Loss: 0.6402	LR: 0.020000
Training Epoch: 17 [17664/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 17 [17920/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 17 [18176/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 17 [18432/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 17 [18688/48700]	Loss: 0.5029	LR: 0.020000
Training Epoch: 17 [18944/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 17 [19200/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 17 [19456/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 17 [19712/48700]	Loss: 0.6062	LR: 0.020000
Training Epoch: 17 [19968/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 17 [20224/48700]	Loss: 0.5702	LR: 0.020000
Training Epoch: 17 [20480/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 17 [20736/48700]	Loss: 0.5752	LR: 0.020000
Training Epoch: 17 [20992/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 17 [21248/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 17 [21504/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 17 [21760/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 17 [22016/48700]	Loss: 0.5494	LR: 0.020000
Training Epoch: 17 [22272/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 17 [22528/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 17 [22784/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 17 [23040/48700]	Loss: 0.5351	LR: 0.020000
Training Epoch: 17 [23296/48700]	Loss: 0.4695	LR: 0.020000
Training Epoch: 17 [23552/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 17 [23808/48700]	Loss: 0.5573	LR: 0.020000
Training Epoch: 17 [24064/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 17 [24320/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 17 [24576/48700]	Loss: 0.5449	LR: 0.020000
Training Epoch: 17 [24832/48700]	Loss: 0.5701	LR: 0.020000
Training Epoch: 17 [25088/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 17 [25344/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 17 [25600/48700]	Loss: 0.6164	LR: 0.020000
Training Epoch: 17 [25856/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 17 [26112/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 17 [26368/48700]	Loss: 0.5957	LR: 0.020000
Training Epoch: 17 [26624/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 17 [26880/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 17 [27136/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 17 [27392/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 17 [27648/48700]	Loss: 0.5057	LR: 0.020000
Training Epoch: 17 [27904/48700]	Loss: 0.5158	LR: 0.020000
Training Epoch: 17 [28160/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 17 [28416/48700]	Loss: 0.6016	LR: 0.020000
Training Epoch: 17 [28672/48700]	Loss: 0.5998	LR: 0.020000
Training Epoch: 17 [28928/48700]	Loss: 0.4211	LR: 0.020000
Training Epoch: 17 [29184/48700]	Loss: 0.6053	LR: 0.020000
Training Epoch: 17 [29440/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 17 [29696/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 17 [29952/48700]	Loss: 0.6719	LR: 0.020000
Training Epoch: 17 [30208/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 17 [30464/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 17 [30720/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 17 [30976/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 17 [31232/48700]	Loss: 0.6907	LR: 0.020000
Training Epoch: 17 [31488/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 17 [31744/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 17 [32000/48700]	Loss: 0.5173	LR: 0.020000
Training Epoch: 17 [32256/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 17 [32512/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 17 [32768/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 17 [33024/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 17 [33280/48700]	Loss: 0.5940	LR: 0.020000
Training Epoch: 17 [33536/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 17 [33792/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 17 [34048/48700]	Loss: 0.5223	LR: 0.020000
Training Epoch: 17 [34304/48700]	Loss: 0.5685	LR: 0.020000
Training Epoch: 17 [34560/48700]	Loss: 0.5639	LR: 0.020000
Training Epoch: 17 [34816/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 17 [35072/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 17 [35328/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 17 [35584/48700]	Loss: 0.6313	LR: 0.020000
Training Epoch: 17 [35840/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 17 [36096/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 17 [36352/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 17 [36608/48700]	Loss: 0.6525	LR: 0.020000
Training Epoch: 17 [36864/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 17 [37120/48700]	Loss: 0.5220	LR: 0.020000
Training Epoch: 17 [37376/48700]	Loss: 0.6182	LR: 0.020000
Training Epoch: 17 [37632/48700]	Loss: 0.5459	LR: 0.020000
Training Epoch: 17 [37888/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 17 [38144/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 17 [38400/48700]	Loss: 0.4969	LR: 0.020000
Training Epoch: 17 [38656/48700]	Loss: 0.5703	LR: 0.020000
Training Epoch: 17 [38912/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 17 [39168/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 17 [39424/48700]	Loss: 0.5694	LR: 0.020000
Training Epoch: 17 [39680/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 17 [39936/48700]	Loss: 0.5796	LR: 0.020000
Training Epoch: 17 [40192/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 17 [40448/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 17 [40704/48700]	Loss: 0.5595	LR: 0.020000
Training Epoch: 17 [40960/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 17 [41216/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 17 [41472/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 17 [41728/48700]	Loss: 0.6125	LR: 0.020000
Training Epoch: 17 [41984/48700]	Loss: 0.5751	LR: 0.020000
Training Epoch: 17 [42240/48700]	Loss: 0.6473	LR: 0.020000
Training Epoch: 17 [42496/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 17 [42752/48700]	Loss: 0.5459	LR: 0.020000
Training Epoch: 17 [43008/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 17 [43264/48700]	Loss: 0.5451	LR: 0.020000
Training Epoch: 17 [43520/48700]	Loss: 0.5544	LR: 0.020000
Training Epoch: 17 [43776/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 17 [44032/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 17 [44288/48700]	Loss: 0.6069	LR: 0.020000
Training Epoch: 17 [44544/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 17 [44800/48700]	Loss: 0.6076	LR: 0.020000
Training Epoch: 17 [45056/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 17 [45312/48700]	Loss: 0.5973	LR: 0.020000
Training Epoch: 17 [45568/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 17 [45824/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 17 [46080/48700]	Loss: 0.5504	LR: 0.020000
Training Epoch: 17 [46336/48700]	Loss: 0.5806	LR: 0.020000
Training Epoch: 17 [46592/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 17 [46848/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 17 [47104/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 17 [47360/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 17 [47616/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 17 [47872/48700]	Loss: 0.4512	LR: 0.020000
Training Epoch: 17 [48128/48700]	Loss: 0.6528	LR: 0.020000
Training Epoch: 17 [48384/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 17 [48640/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 17 [48700/48700]	Loss: 0.4681	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5391, Train Accuracy: 0.8231
Epoch 17 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7649, Time consumed:0.86s
Training Epoch: 18 [256/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 18 [512/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 18 [768/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 18 [1024/48700]	Loss: 0.3780	LR: 0.020000
Training Epoch: 18 [1280/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 18 [1536/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 18 [1792/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 18 [2048/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 18 [2304/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 18 [2560/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 18 [2816/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 18 [3072/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 18 [3328/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 18 [3584/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 18 [3840/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 18 [4096/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 18 [4352/48700]	Loss: 0.4604	LR: 0.020000
Training Epoch: 18 [4608/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 18 [4864/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 18 [5120/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 18 [5376/48700]	Loss: 0.5275	LR: 0.020000
Training Epoch: 18 [5632/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 18 [5888/48700]	Loss: 0.5083	LR: 0.020000
Training Epoch: 18 [6144/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 18 [6400/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 18 [6656/48700]	Loss: 0.5774	LR: 0.020000
Training Epoch: 18 [6912/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 18 [7168/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 18 [7424/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 18 [7680/48700]	Loss: 0.5751	LR: 0.020000
Training Epoch: 18 [7936/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 18 [8192/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 18 [8448/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 18 [8704/48700]	Loss: 0.5027	LR: 0.020000
Training Epoch: 18 [8960/48700]	Loss: 0.4989	LR: 0.020000
Training Epoch: 18 [9216/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 18 [9472/48700]	Loss: 0.4661	LR: 0.020000
Training Epoch: 18 [9728/48700]	Loss: 0.4233	LR: 0.020000
Training Epoch: 18 [9984/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 18 [10240/48700]	Loss: 0.5980	LR: 0.020000
Training Epoch: 18 [10496/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 18 [10752/48700]	Loss: 0.4863	LR: 0.020000
Training Epoch: 18 [11008/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 18 [11264/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 18 [11520/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 18 [11776/48700]	Loss: 0.4517	LR: 0.020000
Training Epoch: 18 [12032/48700]	Loss: 0.5831	LR: 0.020000
Training Epoch: 18 [12288/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 18 [12544/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 18 [12800/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 18 [13056/48700]	Loss: 0.5040	LR: 0.020000
Training Epoch: 18 [13312/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 18 [13568/48700]	Loss: 0.4148	LR: 0.020000
Training Epoch: 18 [13824/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 18 [14080/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 18 [14336/48700]	Loss: 0.4308	LR: 0.020000
Training Epoch: 18 [14592/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 18 [14848/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 18 [15104/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 18 [15360/48700]	Loss: 0.5933	LR: 0.020000
Training Epoch: 18 [15616/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 18 [15872/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 18 [16128/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 18 [16384/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 18 [16640/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 18 [16896/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 18 [17152/48700]	Loss: 0.4865	LR: 0.020000
Training Epoch: 18 [17408/48700]	Loss: 0.5846	LR: 0.020000
Training Epoch: 18 [17664/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 18 [17920/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 18 [18176/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 18 [18432/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 18 [18688/48700]	Loss: 0.4107	LR: 0.020000
Training Epoch: 18 [18944/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 18 [19200/48700]	Loss: 0.4679	LR: 0.020000
Training Epoch: 18 [19456/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 18 [19712/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 18 [19968/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 18 [20224/48700]	Loss: 0.4767	LR: 0.020000
Training Epoch: 18 [20480/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 18 [20736/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 18 [20992/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 18 [21248/48700]	Loss: 0.4239	LR: 0.020000
Training Epoch: 18 [21504/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 18 [21760/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 18 [22016/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 18 [22272/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 18 [22528/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 18 [22784/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 18 [23040/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 18 [23296/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 18 [23552/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 18 [23808/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 18 [24064/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 18 [24320/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 18 [24576/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 18 [24832/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 18 [25088/48700]	Loss: 0.4993	LR: 0.020000
Training Epoch: 18 [25344/48700]	Loss: 0.4904	LR: 0.020000
Training Epoch: 18 [25600/48700]	Loss: 0.5951	LR: 0.020000
Training Epoch: 18 [25856/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 18 [26112/48700]	Loss: 0.4197	LR: 0.020000
Training Epoch: 18 [26368/48700]	Loss: 0.4316	LR: 0.020000
Training Epoch: 18 [26624/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 18 [26880/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 18 [27136/48700]	Loss: 0.7557	LR: 0.020000
Training Epoch: 18 [27392/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 18 [27648/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 18 [27904/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 18 [28160/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 18 [28416/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 18 [28672/48700]	Loss: 0.4545	LR: 0.020000
Training Epoch: 18 [28928/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 18 [29184/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 18 [29440/48700]	Loss: 0.4451	LR: 0.020000
Training Epoch: 18 [29696/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 18 [29952/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 18 [30208/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 18 [30464/48700]	Loss: 0.4702	LR: 0.020000
Training Epoch: 18 [30720/48700]	Loss: 0.6546	LR: 0.020000
Training Epoch: 18 [30976/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 18 [31232/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 18 [31488/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 18 [31744/48700]	Loss: 0.6187	LR: 0.020000
Training Epoch: 18 [32000/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 18 [32256/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 18 [32512/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 18 [32768/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 18 [33024/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 18 [33280/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 18 [33536/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 18 [33792/48700]	Loss: 0.4641	LR: 0.020000
Training Epoch: 18 [34048/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 18 [34304/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 18 [34560/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 18 [34816/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 18 [35072/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 18 [35328/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 18 [35584/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 18 [35840/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 18 [36096/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 18 [36352/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 18 [36608/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 18 [36864/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 18 [37120/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 18 [37376/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 18 [37632/48700]	Loss: 0.4994	LR: 0.020000
Training Epoch: 18 [37888/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 18 [38144/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 18 [38400/48700]	Loss: 0.7029	LR: 0.020000
Training Epoch: 18 [38656/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 18 [38912/48700]	Loss: 0.5914	LR: 0.020000
Training Epoch: 18 [39168/48700]	Loss: 0.6121	LR: 0.020000
Training Epoch: 18 [39424/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 18 [39680/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 18 [39936/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 18 [40192/48700]	Loss: 0.5716	LR: 0.020000
Training Epoch: 18 [40448/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 18 [40704/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 18 [40960/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 18 [41216/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 18 [41472/48700]	Loss: 0.5705	LR: 0.020000
Training Epoch: 18 [41728/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 18 [41984/48700]	Loss: 0.4327	LR: 0.020000
Training Epoch: 18 [42240/48700]	Loss: 0.4497	LR: 0.020000
Training Epoch: 18 [42496/48700]	Loss: 0.5808	LR: 0.020000
Training Epoch: 18 [42752/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 18 [43008/48700]	Loss: 0.4951	LR: 0.020000
Training Epoch: 18 [43264/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 18 [43520/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 18 [43776/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 18 [44032/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 18 [44288/48700]	Loss: 0.5462	LR: 0.020000
Training Epoch: 18 [44544/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 18 [44800/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 18 [45056/48700]	Loss: 0.5763	LR: 0.020000
Training Epoch: 18 [45312/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.4722	LR: 0.020000
Training Epoch: 18 [45824/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 18 [46080/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.6378	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.4370	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5861	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.5254	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5108, Train Accuracy: 0.8321
Epoch 18 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7702, Time consumed:0.89s
Training Epoch: 19 [256/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 19 [512/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 19 [768/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 19 [1024/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 19 [1280/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 19 [1536/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 19 [1792/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 19 [2048/48700]	Loss: 0.4529	LR: 0.020000
Training Epoch: 19 [2304/48700]	Loss: 0.4666	LR: 0.020000
Training Epoch: 19 [2560/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 19 [2816/48700]	Loss: 0.4399	LR: 0.020000
Training Epoch: 19 [3072/48700]	Loss: 0.5521	LR: 0.020000
Training Epoch: 19 [3328/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 19 [3584/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 19 [3840/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 19 [4096/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 19 [4352/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 19 [4608/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 19 [4864/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 19 [5120/48700]	Loss: 0.3704	LR: 0.020000
Training Epoch: 19 [5376/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 19 [5632/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 19 [5888/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 19 [6144/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 19 [6400/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 19 [6656/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 19 [6912/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 19 [7168/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 19 [7424/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 19 [7680/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 19 [7936/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 19 [8192/48700]	Loss: 0.4868	LR: 0.020000
Training Epoch: 19 [8448/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 19 [8704/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 19 [8960/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 19 [9216/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 19 [9472/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 19 [9728/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 19 [9984/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 19 [10240/48700]	Loss: 0.4034	LR: 0.020000
Training Epoch: 19 [10496/48700]	Loss: 0.5500	LR: 0.020000
Training Epoch: 19 [10752/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 19 [11008/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 19 [11264/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 19 [11520/48700]	Loss: 0.6034	LR: 0.020000
Training Epoch: 19 [11776/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 19 [12032/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 19 [12288/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 19 [12544/48700]	Loss: 0.4661	LR: 0.020000
Training Epoch: 19 [12800/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 19 [13056/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 19 [13312/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 19 [13568/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 19 [13824/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 19 [14080/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 19 [14336/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 19 [14592/48700]	Loss: 0.4363	LR: 0.020000
Training Epoch: 19 [14848/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 19 [15104/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 19 [15360/48700]	Loss: 0.4123	LR: 0.020000
Training Epoch: 19 [15616/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 19 [15872/48700]	Loss: 0.5115	LR: 0.020000
Training Epoch: 19 [16128/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 19 [16384/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 19 [16640/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 19 [16896/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 19 [17152/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 19 [17408/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 19 [17664/48700]	Loss: 0.5429	LR: 0.020000
Training Epoch: 19 [17920/48700]	Loss: 0.5406	LR: 0.020000
Training Epoch: 19 [18176/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 19 [18432/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 19 [18688/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 19 [18944/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 19 [19200/48700]	Loss: 0.5130	LR: 0.020000
Training Epoch: 19 [19456/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 19 [19712/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 19 [19968/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 19 [20224/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 19 [20480/48700]	Loss: 0.4067	LR: 0.020000
Training Epoch: 19 [20736/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 19 [20992/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 19 [21248/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 19 [21504/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 19 [21760/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 19 [22016/48700]	Loss: 0.4955	LR: 0.020000
Training Epoch: 19 [22272/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 19 [22528/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 19 [22784/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 19 [23040/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 19 [23296/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 19 [23552/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 19 [23808/48700]	Loss: 0.5328	LR: 0.020000
Training Epoch: 19 [24064/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 19 [24320/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 19 [24576/48700]	Loss: 0.4702	LR: 0.020000
Training Epoch: 19 [24832/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 19 [25088/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 19 [25344/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 19 [25600/48700]	Loss: 0.5451	LR: 0.020000
Training Epoch: 19 [25856/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 19 [26112/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 19 [26368/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 19 [26624/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 19 [26880/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 19 [27136/48700]	Loss: 0.5065	LR: 0.020000
Training Epoch: 19 [27392/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 19 [27648/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 19 [27904/48700]	Loss: 0.6459	LR: 0.020000
Training Epoch: 19 [28160/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 19 [28416/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 19 [28672/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 19 [28928/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 19 [29184/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 19 [29440/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 19 [29696/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 19 [29952/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 19 [30208/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 19 [30464/48700]	Loss: 0.4208	LR: 0.020000
Training Epoch: 19 [30720/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 19 [30976/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 19 [31232/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 19 [31488/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 19 [31744/48700]	Loss: 0.5962	LR: 0.020000
Training Epoch: 19 [32000/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 19 [32256/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 19 [32512/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 19 [32768/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 19 [33024/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 19 [33280/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 19 [33536/48700]	Loss: 0.4987	LR: 0.020000
Training Epoch: 19 [33792/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 19 [34048/48700]	Loss: 0.4736	LR: 0.020000
Training Epoch: 19 [34304/48700]	Loss: 0.5166	LR: 0.020000
Training Epoch: 19 [34560/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 19 [34816/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 19 [35072/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 19 [35328/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 19 [35584/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 19 [35840/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 19 [36096/48700]	Loss: 0.5069	LR: 0.020000
Training Epoch: 19 [36352/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 19 [36608/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 19 [36864/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 19 [37120/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 19 [37376/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 19 [37632/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 19 [37888/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 19 [38144/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 19 [38400/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 19 [38656/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 19 [38912/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 19 [39168/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 19 [39424/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 19 [39680/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 19 [39936/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 19 [40192/48700]	Loss: 0.5588	LR: 0.020000
Training Epoch: 19 [40448/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 19 [40704/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 19 [40960/48700]	Loss: 0.5494	LR: 0.020000
Training Epoch: 19 [41216/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 19 [41472/48700]	Loss: 0.4881	LR: 0.020000
Training Epoch: 19 [41728/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 19 [41984/48700]	Loss: 0.5027	LR: 0.020000
Training Epoch: 19 [42240/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 19 [42496/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 19 [42752/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 19 [43008/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 19 [43264/48700]	Loss: 0.6063	LR: 0.020000
Training Epoch: 19 [43520/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 19 [43776/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 19 [44032/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 19 [44288/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 19 [44544/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 19 [44800/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 19 [45056/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 19 [45312/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 19 [45568/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 19 [45824/48700]	Loss: 0.5163	LR: 0.020000
Training Epoch: 19 [46080/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 19 [46336/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 19 [46592/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 19 [46848/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 19 [47104/48700]	Loss: 0.4353	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.6314	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4862, Train Accuracy: 0.8404
Epoch 19 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0028, Accuracy: 0.7784, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-19-best.pth
Training Epoch: 20 [256/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.5229	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.3519	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 20 [1792/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 20 [2048/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 20 [2304/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 20 [2560/48700]	Loss: 0.4281	LR: 0.020000
Training Epoch: 20 [2816/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 20 [3072/48700]	Loss: 0.4052	LR: 0.020000
Training Epoch: 20 [3328/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 20 [3584/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 20 [3840/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 20 [4096/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 20 [4352/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 20 [4608/48700]	Loss: 0.4127	LR: 0.020000
Training Epoch: 20 [4864/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 20 [5120/48700]	Loss: 0.4451	LR: 0.020000
Training Epoch: 20 [5376/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 20 [5632/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 20 [5888/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [6144/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 20 [6400/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 20 [6656/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 20 [6912/48700]	Loss: 0.3770	LR: 0.020000
Training Epoch: 20 [7168/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 20 [7424/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 20 [7680/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 20 [7936/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 20 [8192/48700]	Loss: 0.4676	LR: 0.020000
Training Epoch: 20 [8448/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 20 [8704/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 20 [8960/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 20 [9216/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 20 [9472/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 20 [9728/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 20 [9984/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 20 [10240/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 20 [10496/48700]	Loss: 0.4140	LR: 0.020000
Training Epoch: 20 [10752/48700]	Loss: 0.4932	LR: 0.020000
Training Epoch: 20 [11008/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 20 [11264/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 20 [11520/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 20 [11776/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 20 [12032/48700]	Loss: 0.3936	LR: 0.020000
Training Epoch: 20 [12288/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 20 [12544/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 20 [12800/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 20 [13056/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 20 [13312/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 20 [13568/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 20 [13824/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 20 [14080/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 20 [14336/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 20 [14592/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [14848/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 20 [15104/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 20 [15360/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.3835	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.6028	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.4127	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.4466	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.5796	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.6362	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.5615	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.4044	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.4352	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.5309	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.4564	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.4325	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.5428	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.3992	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.5437	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.4726	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.4387	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.4197	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.4568	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.4487	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.5029	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.5359	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.4604	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.6119	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5689	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.4473	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.7120	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4664, Train Accuracy: 0.8477
Epoch 20 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7718, Time consumed:0.86s
Training Epoch: 21 [256/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.3765	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.3845	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5858	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.3730	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.2978	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.3650	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.3985	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4710	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.3738	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.3306	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.4662	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4068	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.4289	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.3736	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.4065	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.4517	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.3163	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.4166	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.4155	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.3132	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.5520	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.5317	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.4239	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.4641	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.4519	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.5059	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.4117	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.4328	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.4391	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.4858	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.4443	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.4684	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.4966	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.5241	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4626	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.3793	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.3690	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.5658	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.5394	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4453	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.4245	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.4685	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.4469	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.4050	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.3715	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.4994	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.5151	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.3476	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.3420	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.6499	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.4626	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.3839	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.6374	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4422, Train Accuracy: 0.8536
Epoch 21 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0031, Accuracy: 0.7683, Time consumed:0.87s
Training Epoch: 22 [256/48700]	Loss: 0.3083	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.3439	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.3804	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.4993	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.5463	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.5267	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.4771	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.4604	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.4414	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.4797	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.3030	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.2898	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.3581	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.5115	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.3718	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.4435	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.4733	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 22 [31488/48700]	Loss: 0.4710	LR: 0.020000
Training Epoch: 22 [31744/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 22 [32256/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 22 [32512/48700]	Loss: 0.4178	LR: 0.020000
Training Epoch: 22 [32768/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 22 [33024/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 22 [33280/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 22 [33536/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 22 [34048/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 22 [34304/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 22 [34560/48700]	Loss: 0.5151	LR: 0.020000
Training Epoch: 22 [34816/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 22 [35072/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 22 [35328/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 22 [35584/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 22 [35840/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 22 [36096/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 22 [36352/48700]	Loss: 0.4125	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.4469	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.4577	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.4844	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.4245	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.4253	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.3699	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.4056	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.3956	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.4872	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.5479	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.5223	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4373, Train Accuracy: 0.8553
Epoch 22 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7684, Time consumed:0.88s
Training Epoch: 23 [256/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.3842	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.3653	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.4604	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.4303	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.3102	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.4657	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.2929	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.3907	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.4362	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.4146	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.4299	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.4034	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.3496	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.3653	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.3808	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.3107	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.3351	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.4198	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.3257	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5332	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.3652	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.4815	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.2923	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4193	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.4815	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.4865	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.2962	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.3654	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.4140	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.2907	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.3761	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5041	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.3795	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4253	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.4309	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4155	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.4177	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.5485	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.4522	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.4228	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.5362	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.5160	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.3538	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4237	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.4749	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.4397	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.5663	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4145, Train Accuracy: 0.8612
Epoch 23 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0032, Accuracy: 0.7629, Time consumed:0.88s
Training Epoch: 24 [256/48700]	Loss: 0.4303	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.3070	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.2949	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.2919	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.3268	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.3568	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.3117	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.3817	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4756	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.4253	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.3269	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.3009	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.3952	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3097	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.2779	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.3191	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.4904	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.3333	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.3964	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3170	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.4897	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.3189	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.3816	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.3740	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.3035	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.4512	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3153	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.3363	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.3866	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.4110	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.4136	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.3402	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.4100	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.3350	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.3160	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.3577	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.3031	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.3338	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.5434	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.3404	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.3369	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4411	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.3521	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.3528	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.3967	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.4252	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4314	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.3855	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.4471	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.3957	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.2791	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.4641	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.4299	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.2923	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.4055	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3972, Train Accuracy: 0.8673
Epoch 24 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7647, Time consumed:0.86s
Training Epoch: 25 [256/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3023	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.3132	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.3933	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.2578	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.3408	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.2610	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.3270	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.3707	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.3179	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.3095	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.3615	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.3220	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.3855	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.3665	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.4420	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.3419	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.2691	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.2928	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3984	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.3110	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.4265	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.3182	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3634	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.4596	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3189	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.3492	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.3089	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.3182	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.4666	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.4062	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.3355	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.3494	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.2816	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.3020	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.4783	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.3375	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.3337	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.3992	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.3507	LR: 0.020000
Training Epoch: 25 [29952/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 25 [30208/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.4325	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.3793	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 25 [32000/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 25 [32256/48700]	Loss: 0.3941	LR: 0.020000
Training Epoch: 25 [32512/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 25 [33024/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 25 [33280/48700]	Loss: 0.3489	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.3464	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.4836	LR: 0.020000
Training Epoch: 25 [34048/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 25 [34304/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 25 [34560/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 25 [34816/48700]	Loss: 0.4577	LR: 0.020000
Training Epoch: 25 [35072/48700]	Loss: 0.3570	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.4595	LR: 0.020000
Training Epoch: 25 [35584/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 25 [35840/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.4006	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.3409	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.3419	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.3854	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.4533	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.4022	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.3613	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.3255	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3902, Train Accuracy: 0.8705
Epoch 25 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7594, Time consumed:0.87s
Training Epoch: 26 [256/48700]	Loss: 0.2216	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.4108	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3084	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.3845	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3031	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.3184	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3139	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.3083	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.3464	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.4069	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.2893	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3216	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.2893	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.3218	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.2346	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.3095	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.3966	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.3216	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3118	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.3279	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.3699	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.3514	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3102	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.4828	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.3591	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.3183	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3514	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3505	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.2839	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.3587	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.3462	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.3022	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.3196	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3295	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3877	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3964	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.2463	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.4022	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.4251	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.4314	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.3330	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.3420	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.4093	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.2991	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.3808	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.3776	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3715	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.3270	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.4339	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.2573	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.3119	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.3185	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.3892	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.3116	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.3687	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.2639	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.2755	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.3806	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.4248	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.3146	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3599	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4352	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.2875	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3701, Train Accuracy: 0.8766
Epoch 26 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7696, Time consumed:0.91s
Training Epoch: 27 [256/48700]	Loss: 0.3145	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3087	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3521	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.3769	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.2856	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4047	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.2710	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.3480	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3029	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3231	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.2990	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.2943	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.3180	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3690	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.3106	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.2947	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.2206	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.2993	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.3754	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3368	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.3950	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3226	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.2829	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.2922	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.2617	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.4025	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3520	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.3147	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.2880	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.2873	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3218	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.3267	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3055	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.3254	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.2728	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.2741	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.3438	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.3411	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3432	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.2918	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.2891	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3597	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3682	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.3142	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.2994	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4017	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.4248	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.2807	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3626	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.3186	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.3557	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.3282	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3279	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3035	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4146	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.3366	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.4177	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3621	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.3001	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.2827	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3136	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.3288	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3700	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.3254	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.3612	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.2776	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.2817	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.2902	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.3090	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.3171	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.4471	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.3321	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3784	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.3446	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.2734	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.3962	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3237	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.3225	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.3293	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3593	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.3720	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.3722	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.4373	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4020	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3293	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.3427	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.3492	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.3281	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.3193	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.6404	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3558, Train Accuracy: 0.8811
Epoch 27 training time consumed: 29.73s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7600, Time consumed:0.85s
Training Epoch: 28 [256/48700]	Loss: 0.3576	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.2660	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3649	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.4017	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3601	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.3802	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.3874	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.3233	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3629	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.2775	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.2397	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.3174	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.3402	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.3142	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.3307	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.3111	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.4288	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3209	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.3430	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3832	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.3425	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.2779	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.3074	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.2978	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.2733	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3352	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.3209	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.2911	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.3408	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.3270	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.3293	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3613	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.2494	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3107	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.2795	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.2683	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.2787	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.3693	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.3481	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3498	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.3997	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3830	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.3847	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.3379	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.3687	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.2803	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.2953	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3522	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.3466	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.3415	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.3056	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.4136	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.2982	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.4298	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.3256	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3234	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.3350	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.2539	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.2685	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.3119	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.2988	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.3302	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3444	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.4413	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.3109	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.3827	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3282	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3091	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.3334	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.3122	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.4263	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3154	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.3738	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.3556	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.4512	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.3024	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.3010	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.6918	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3571, Train Accuracy: 0.8799
Epoch 28 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7591, Time consumed:0.90s
Training Epoch: 29 [256/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.2903	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3114	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3467	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.2659	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.3478	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.3182	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.3746	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.4199	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.3437	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.3108	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.3102	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.3249	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.2665	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.2516	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.3065	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.2965	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.4010	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.2761	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3358	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.2294	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.3217	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.2782	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.3730	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.2705	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.2702	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.2814	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.3244	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.3216	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.3765	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.2788	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3124	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3116	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.2161	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.3074	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.2875	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.2847	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.2987	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.2585	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.3064	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.2869	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.2503	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.2526	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.3409	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3338	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3875	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.3022	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3187	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.3174	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.3010	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3072	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.3582	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.3439	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.3156	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.2838	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3071	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.2803	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.2985	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.3505	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.3254	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3334	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.2961	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.4141	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.2972	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3996	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3521	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.2759	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3391	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.3018	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.3028	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.3571	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.3343	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.3268	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.4596	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.4174	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.2883	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3029	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.3188	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.2691	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.3096	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.4469	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.3591	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.3012	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.4211	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.4267	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.3868	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.4327	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.3551	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.4141	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3763	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.4113	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.4148	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3467, Train Accuracy: 0.8840
Epoch 29 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7611, Time consumed:0.86s
Training Epoch: 30 [256/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.3331	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.3326	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.3217	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.2530	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.3146	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.2521	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.3369	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.2785	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.3048	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.2924	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.2725	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.2741	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.2886	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2285	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2616	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.2410	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2863	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2502	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.2913	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2654	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.2058	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.3160	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2927	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2445	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2869	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2249	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2828	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2055	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2093	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2085	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2662	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2646	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.2743	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.2175	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.1963	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2394	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2444	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.2366	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2244	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.1621	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2356	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.1798	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.2458	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2346	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2575	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.2107	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.2175	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.2095	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.2019	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.1972	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2167	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.2031	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2572	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2515	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.2931	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.2045	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.2083	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.1784	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.2765	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2473	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.2256	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.1970	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.2525	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.2409	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2066	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.2228	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.2486	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.1860	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2354	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.2665	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2288	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.1546	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.1946	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.2285	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.1877	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.2011	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.1856	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2510	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2061	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.1800	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2098	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2528	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.1702	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.2943	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.1967	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.1622	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.2065	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.1779	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.2054	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2517	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2088	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2792	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.1621	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.2504	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.1797	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.1503	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.2069	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2107	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2757	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.1770	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.2368	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.1367	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.1742	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.2437	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.2113	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.2289	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.1785	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.2721	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.1960	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.2317	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.2295	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2474	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.1554	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.2180	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.1771	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.1728	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1974	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.2410	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.1830	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.2321	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.1884	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.2063	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.1880	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2077	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.2732	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2114	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2055	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.1745	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.1362	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2331	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.1944	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.2661	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.1993	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.2062	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.1592	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.2073	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.1993	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.1865	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.1745	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.1792	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.1844	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.2325	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.1699	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.1956	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.1298	LR: 0.004000
Training Epoch: 30 [41216/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [41472/48700]	Loss: 0.1699	LR: 0.004000
Training Epoch: 30 [41728/48700]	Loss: 0.2316	LR: 0.004000
Training Epoch: 30 [41984/48700]	Loss: 0.2122	LR: 0.004000
Training Epoch: 30 [42240/48700]	Loss: 0.2829	LR: 0.004000
Training Epoch: 30 [42496/48700]	Loss: 0.2523	LR: 0.004000
Training Epoch: 30 [42752/48700]	Loss: 0.2283	LR: 0.004000
Training Epoch: 30 [43008/48700]	Loss: 0.2220	LR: 0.004000
Training Epoch: 30 [43264/48700]	Loss: 0.1334	LR: 0.004000
Training Epoch: 30 [43520/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 30 [43776/48700]	Loss: 0.2745	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 30 [44288/48700]	Loss: 0.2895	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.2841	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.1615	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.2035	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.1605	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.2848	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2024	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.1847	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.2157	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.1321	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.1677	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.2121	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.1861	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.1963	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.2753	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2201, Train Accuracy: 0.9305
Epoch 30 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.8014, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1066	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1745	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1371	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.2068	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.2283	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.1917	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.2024	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.1824	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.2948	LR: 0.004000
Training Epoch: 31 [3072/48700]	Loss: 0.1718	LR: 0.004000
Training Epoch: 31 [3328/48700]	Loss: 0.1458	LR: 0.004000
Training Epoch: 31 [3584/48700]	Loss: 0.1345	LR: 0.004000
Training Epoch: 31 [3840/48700]	Loss: 0.2126	LR: 0.004000
Training Epoch: 31 [4096/48700]	Loss: 0.1521	LR: 0.004000
Training Epoch: 31 [4352/48700]	Loss: 0.1881	LR: 0.004000
Training Epoch: 31 [4608/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 31 [4864/48700]	Loss: 0.2689	LR: 0.004000
Training Epoch: 31 [5120/48700]	Loss: 0.1263	LR: 0.004000
Training Epoch: 31 [5376/48700]	Loss: 0.1427	LR: 0.004000
Training Epoch: 31 [5632/48700]	Loss: 0.1923	LR: 0.004000
Training Epoch: 31 [5888/48700]	Loss: 0.2077	LR: 0.004000
Training Epoch: 31 [6144/48700]	Loss: 0.2316	LR: 0.004000
Training Epoch: 31 [6400/48700]	Loss: 0.2086	LR: 0.004000
Training Epoch: 31 [6656/48700]	Loss: 0.2244	LR: 0.004000
Training Epoch: 31 [6912/48700]	Loss: 0.1401	LR: 0.004000
Training Epoch: 31 [7168/48700]	Loss: 0.1480	LR: 0.004000
Training Epoch: 31 [7424/48700]	Loss: 0.1121	LR: 0.004000
Training Epoch: 31 [7680/48700]	Loss: 0.1368	LR: 0.004000
Training Epoch: 31 [7936/48700]	Loss: 0.1393	LR: 0.004000
Training Epoch: 31 [8192/48700]	Loss: 0.2155	LR: 0.004000
Training Epoch: 31 [8448/48700]	Loss: 0.1232	LR: 0.004000
Training Epoch: 31 [8704/48700]	Loss: 0.1770	LR: 0.004000
Training Epoch: 31 [8960/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 31 [9216/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 31 [9472/48700]	Loss: 0.1650	LR: 0.004000
Training Epoch: 31 [9728/48700]	Loss: 0.1907	LR: 0.004000
Training Epoch: 31 [9984/48700]	Loss: 0.2535	LR: 0.004000
Training Epoch: 31 [10240/48700]	Loss: 0.1837	LR: 0.004000
Training Epoch: 31 [10496/48700]	Loss: 0.2026	LR: 0.004000
Training Epoch: 31 [10752/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 31 [11008/48700]	Loss: 0.2088	LR: 0.004000
Training Epoch: 31 [11264/48700]	Loss: 0.1722	LR: 0.004000
Training Epoch: 31 [11520/48700]	Loss: 0.1873	LR: 0.004000
Training Epoch: 31 [11776/48700]	Loss: 0.1490	LR: 0.004000
Training Epoch: 31 [12032/48700]	Loss: 0.1482	LR: 0.004000
Training Epoch: 31 [12288/48700]	Loss: 0.1981	LR: 0.004000
Training Epoch: 31 [12544/48700]	Loss: 0.1732	LR: 0.004000
Training Epoch: 31 [12800/48700]	Loss: 0.1710	LR: 0.004000
Training Epoch: 31 [13056/48700]	Loss: 0.1725	LR: 0.004000
Training Epoch: 31 [13312/48700]	Loss: 0.2076	LR: 0.004000
Training Epoch: 31 [13568/48700]	Loss: 0.2283	LR: 0.004000
Training Epoch: 31 [13824/48700]	Loss: 0.1737	LR: 0.004000
Training Epoch: 31 [14080/48700]	Loss: 0.1810	LR: 0.004000
Training Epoch: 31 [14336/48700]	Loss: 0.1799	LR: 0.004000
Training Epoch: 31 [14592/48700]	Loss: 0.1444	LR: 0.004000
Training Epoch: 31 [14848/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 31 [15104/48700]	Loss: 0.1316	LR: 0.004000
Training Epoch: 31 [15360/48700]	Loss: 0.2049	LR: 0.004000
Training Epoch: 31 [15616/48700]	Loss: 0.2463	LR: 0.004000
Training Epoch: 31 [15872/48700]	Loss: 0.2027	LR: 0.004000
Training Epoch: 31 [16128/48700]	Loss: 0.1654	LR: 0.004000
Training Epoch: 31 [16384/48700]	Loss: 0.1802	LR: 0.004000
Training Epoch: 31 [16640/48700]	Loss: 0.1720	LR: 0.004000
Training Epoch: 31 [16896/48700]	Loss: 0.1759	LR: 0.004000
Training Epoch: 31 [17152/48700]	Loss: 0.1614	LR: 0.004000
Training Epoch: 31 [17408/48700]	Loss: 0.2003	LR: 0.004000
Training Epoch: 31 [17664/48700]	Loss: 0.1776	LR: 0.004000
Training Epoch: 31 [17920/48700]	Loss: 0.1962	LR: 0.004000
Training Epoch: 31 [18176/48700]	Loss: 0.1800	LR: 0.004000
Training Epoch: 31 [18432/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 31 [18688/48700]	Loss: 0.2243	LR: 0.004000
Training Epoch: 31 [18944/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 31 [19200/48700]	Loss: 0.1344	LR: 0.004000
Training Epoch: 31 [19456/48700]	Loss: 0.1734	LR: 0.004000
Training Epoch: 31 [19712/48700]	Loss: 0.1755	LR: 0.004000
Training Epoch: 31 [19968/48700]	Loss: 0.1846	LR: 0.004000
Training Epoch: 31 [20224/48700]	Loss: 0.1686	LR: 0.004000
Training Epoch: 31 [20480/48700]	Loss: 0.1527	LR: 0.004000
Training Epoch: 31 [20736/48700]	Loss: 0.1729	LR: 0.004000
Training Epoch: 31 [20992/48700]	Loss: 0.1781	LR: 0.004000
Training Epoch: 31 [21248/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [21504/48700]	Loss: 0.2241	LR: 0.004000
Training Epoch: 31 [21760/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 31 [22016/48700]	Loss: 0.1525	LR: 0.004000
Training Epoch: 31 [22272/48700]	Loss: 0.2473	LR: 0.004000
Training Epoch: 31 [22528/48700]	Loss: 0.1871	LR: 0.004000
Training Epoch: 31 [22784/48700]	Loss: 0.1930	LR: 0.004000
Training Epoch: 31 [23040/48700]	Loss: 0.2349	LR: 0.004000
Training Epoch: 31 [23296/48700]	Loss: 0.2019	LR: 0.004000
Training Epoch: 31 [23552/48700]	Loss: 0.2274	LR: 0.004000
Training Epoch: 31 [23808/48700]	Loss: 0.1950	LR: 0.004000
Training Epoch: 31 [24064/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 31 [24320/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 31 [24576/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 31 [24832/48700]	Loss: 0.1867	LR: 0.004000
Training Epoch: 31 [25088/48700]	Loss: 0.1832	LR: 0.004000
Training Epoch: 31 [25344/48700]	Loss: 0.2110	LR: 0.004000
Training Epoch: 31 [25600/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 31 [25856/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 31 [26112/48700]	Loss: 0.1640	LR: 0.004000
Training Epoch: 31 [26368/48700]	Loss: 0.2216	LR: 0.004000
Training Epoch: 31 [26624/48700]	Loss: 0.1658	LR: 0.004000
Training Epoch: 31 [26880/48700]	Loss: 0.1690	LR: 0.004000
Training Epoch: 31 [27136/48700]	Loss: 0.1420	LR: 0.004000
Training Epoch: 31 [27392/48700]	Loss: 0.1295	LR: 0.004000
Training Epoch: 31 [27648/48700]	Loss: 0.1844	LR: 0.004000
Training Epoch: 31 [27904/48700]	Loss: 0.2107	LR: 0.004000
Training Epoch: 31 [28160/48700]	Loss: 0.2284	LR: 0.004000
Training Epoch: 31 [28416/48700]	Loss: 0.1787	LR: 0.004000
Training Epoch: 31 [28672/48700]	Loss: 0.1488	LR: 0.004000
Training Epoch: 31 [28928/48700]	Loss: 0.1856	LR: 0.004000
Training Epoch: 31 [29184/48700]	Loss: 0.1699	LR: 0.004000
Training Epoch: 31 [29440/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 31 [29696/48700]	Loss: 0.1747	LR: 0.004000
Training Epoch: 31 [29952/48700]	Loss: 0.1553	LR: 0.004000
Training Epoch: 31 [30208/48700]	Loss: 0.2018	LR: 0.004000
Training Epoch: 31 [30464/48700]	Loss: 0.2148	LR: 0.004000
Training Epoch: 31 [30720/48700]	Loss: 0.1785	LR: 0.004000
Training Epoch: 31 [30976/48700]	Loss: 0.1914	LR: 0.004000
Training Epoch: 31 [31232/48700]	Loss: 0.1727	LR: 0.004000
Training Epoch: 31 [31488/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 31 [31744/48700]	Loss: 0.1673	LR: 0.004000
Training Epoch: 31 [32000/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 31 [32256/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 31 [32512/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 31 [32768/48700]	Loss: 0.2229	LR: 0.004000
Training Epoch: 31 [33024/48700]	Loss: 0.1576	LR: 0.004000
Training Epoch: 31 [33280/48700]	Loss: 0.1905	LR: 0.004000
Training Epoch: 31 [33536/48700]	Loss: 0.1645	LR: 0.004000
Training Epoch: 31 [33792/48700]	Loss: 0.2032	LR: 0.004000
Training Epoch: 31 [34048/48700]	Loss: 0.2329	LR: 0.004000
Training Epoch: 31 [34304/48700]	Loss: 0.1660	LR: 0.004000
Training Epoch: 31 [34560/48700]	Loss: 0.1882	LR: 0.004000
Training Epoch: 31 [34816/48700]	Loss: 0.1429	LR: 0.004000
Training Epoch: 31 [35072/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 31 [35328/48700]	Loss: 0.2001	LR: 0.004000
Training Epoch: 31 [35584/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 31 [35840/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 31 [36096/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 31 [36352/48700]	Loss: 0.2152	LR: 0.004000
Training Epoch: 31 [36608/48700]	Loss: 0.1717	LR: 0.004000
Training Epoch: 31 [36864/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 31 [37120/48700]	Loss: 0.2427	LR: 0.004000
Training Epoch: 31 [37376/48700]	Loss: 0.1354	LR: 0.004000
Training Epoch: 31 [37632/48700]	Loss: 0.1328	LR: 0.004000
Training Epoch: 31 [37888/48700]	Loss: 0.1469	LR: 0.004000
Training Epoch: 31 [38144/48700]	Loss: 0.2385	LR: 0.004000
Training Epoch: 31 [38400/48700]	Loss: 0.1967	LR: 0.004000
Training Epoch: 31 [38656/48700]	Loss: 0.1764	LR: 0.004000
Training Epoch: 31 [38912/48700]	Loss: 0.2304	LR: 0.004000
Training Epoch: 31 [39168/48700]	Loss: 0.2062	LR: 0.004000
Training Epoch: 31 [39424/48700]	Loss: 0.1199	LR: 0.004000
Training Epoch: 31 [39680/48700]	Loss: 0.1537	LR: 0.004000
Training Epoch: 31 [39936/48700]	Loss: 0.1223	LR: 0.004000
Training Epoch: 31 [40192/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [40448/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 31 [40704/48700]	Loss: 0.1422	LR: 0.004000
Training Epoch: 31 [40960/48700]	Loss: 0.1287	LR: 0.004000
Training Epoch: 31 [41216/48700]	Loss: 0.1935	LR: 0.004000
Training Epoch: 31 [41472/48700]	Loss: 0.1955	LR: 0.004000
Training Epoch: 31 [41728/48700]	Loss: 0.1168	LR: 0.004000
Training Epoch: 31 [41984/48700]	Loss: 0.2044	LR: 0.004000
Training Epoch: 31 [42240/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 31 [42496/48700]	Loss: 0.1241	LR: 0.004000
Training Epoch: 31 [42752/48700]	Loss: 0.2228	LR: 0.004000
Training Epoch: 31 [43008/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 31 [43264/48700]	Loss: 0.1930	LR: 0.004000
Training Epoch: 31 [43520/48700]	Loss: 0.1048	LR: 0.004000
Training Epoch: 31 [43776/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 31 [44032/48700]	Loss: 0.1093	LR: 0.004000
Training Epoch: 31 [44288/48700]	Loss: 0.1326	LR: 0.004000
Training Epoch: 31 [44544/48700]	Loss: 0.1601	LR: 0.004000
Training Epoch: 31 [44800/48700]	Loss: 0.1849	LR: 0.004000
Training Epoch: 31 [45056/48700]	Loss: 0.1433	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.1331	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.2071	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.1909	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.1706	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.1999	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.1652	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1933	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.2156	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.2184	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.1768	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.1811	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.2012	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.2202	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1769, Train Accuracy: 0.9464
Epoch 31 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.8018, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1274	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1471	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1080	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1774	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1598	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.1374	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.1790	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.1238	LR: 0.004000
Training Epoch: 32 [2304/48700]	Loss: 0.1849	LR: 0.004000
Training Epoch: 32 [2560/48700]	Loss: 0.1765	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.1125	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.1733	LR: 0.004000
Training Epoch: 32 [3328/48700]	Loss: 0.1447	LR: 0.004000
Training Epoch: 32 [3584/48700]	Loss: 0.1795	LR: 0.004000
Training Epoch: 32 [3840/48700]	Loss: 0.1623	LR: 0.004000
Training Epoch: 32 [4096/48700]	Loss: 0.1989	LR: 0.004000
Training Epoch: 32 [4352/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 32 [4608/48700]	Loss: 0.1520	LR: 0.004000
Training Epoch: 32 [4864/48700]	Loss: 0.1350	LR: 0.004000
Training Epoch: 32 [5120/48700]	Loss: 0.1930	LR: 0.004000
Training Epoch: 32 [5376/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 32 [5632/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 32 [5888/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 32 [6144/48700]	Loss: 0.1353	LR: 0.004000
Training Epoch: 32 [6400/48700]	Loss: 0.1697	LR: 0.004000
Training Epoch: 32 [6656/48700]	Loss: 0.2231	LR: 0.004000
Training Epoch: 32 [6912/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 32 [7168/48700]	Loss: 0.1328	LR: 0.004000
Training Epoch: 32 [7424/48700]	Loss: 0.1170	LR: 0.004000
Training Epoch: 32 [7680/48700]	Loss: 0.1827	LR: 0.004000
Training Epoch: 32 [7936/48700]	Loss: 0.2043	LR: 0.004000
Training Epoch: 32 [8192/48700]	Loss: 0.1385	LR: 0.004000
Training Epoch: 32 [8448/48700]	Loss: 0.1518	LR: 0.004000
Training Epoch: 32 [8704/48700]	Loss: 0.1487	LR: 0.004000
Training Epoch: 32 [8960/48700]	Loss: 0.1868	LR: 0.004000
Training Epoch: 32 [9216/48700]	Loss: 0.1783	LR: 0.004000
Training Epoch: 32 [9472/48700]	Loss: 0.1284	LR: 0.004000
Training Epoch: 32 [9728/48700]	Loss: 0.1524	LR: 0.004000
Training Epoch: 32 [9984/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 32 [10240/48700]	Loss: 0.1609	LR: 0.004000
Training Epoch: 32 [10496/48700]	Loss: 0.2137	LR: 0.004000
Training Epoch: 32 [10752/48700]	Loss: 0.1399	LR: 0.004000
Training Epoch: 32 [11008/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 32 [11264/48700]	Loss: 0.1652	LR: 0.004000
Training Epoch: 32 [11520/48700]	Loss: 0.1393	LR: 0.004000
Training Epoch: 32 [11776/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 32 [12032/48700]	Loss: 0.1640	LR: 0.004000
Training Epoch: 32 [12288/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 32 [12544/48700]	Loss: 0.1337	LR: 0.004000
Training Epoch: 32 [12800/48700]	Loss: 0.2104	LR: 0.004000
Training Epoch: 32 [13056/48700]	Loss: 0.1586	LR: 0.004000
Training Epoch: 32 [13312/48700]	Loss: 0.1520	LR: 0.004000
Training Epoch: 32 [13568/48700]	Loss: 0.2104	LR: 0.004000
Training Epoch: 32 [13824/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 32 [14080/48700]	Loss: 0.1584	LR: 0.004000
Training Epoch: 32 [14336/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 32 [14592/48700]	Loss: 0.1485	LR: 0.004000
Training Epoch: 32 [14848/48700]	Loss: 0.1694	LR: 0.004000
Training Epoch: 32 [15104/48700]	Loss: 0.1320	LR: 0.004000
Training Epoch: 32 [15360/48700]	Loss: 0.1749	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.1467	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.1499	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.1364	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.1619	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.1099	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.1970	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.1338	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.1885	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.1752	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.1385	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.1657	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.1061	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.1689	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.1935	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.1425	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.1926	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.1417	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.1610	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.1108	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.1806	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.1179	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.2012	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.2087	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.1420	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.1813	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.1421	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.1122	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.1169	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.1112	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.1399	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.1591	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.1146	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.2042	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.2177	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.1137	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.1381	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.1310	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.1706	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.2084	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.1799	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.1154	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.1627	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.1331	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.1362	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.1717	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.1770	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.1854	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.1503	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.1222	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.1139	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.2005	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.1813	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.1675	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.1300	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.1753	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.1450	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.1457	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.1808	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.1077	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.1680	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.1734	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.2137	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.1499	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.1172	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.1454	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.1912	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.1490	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.1787	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.1306	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.1422	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.1851	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.1530	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.1816	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.1321	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.1921	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.1484	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.1508	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.1616	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.2348	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.1869	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.1758	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.1874	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.1765	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.1368	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.1522	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.1869	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.1759	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.1694	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.1883	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.2289	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.1420	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.1532	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.1808	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.1983	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.1433	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.1390	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.1877	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.1482	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.2023	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.2153	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.1364	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.1609	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.1512	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.1677	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.1623	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.2003	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.1337	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.0561	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1603, Train Accuracy: 0.9517
Epoch 32 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.8023, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.1079	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.1022	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.1790	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.1143	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.1200	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.1247	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.1780	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.1254	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.1251	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.1222	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.1199	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.1758	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.1092	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.1445	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.1311	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.1837	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.1599	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.1286	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.1198	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.1254	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.1655	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.1868	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.2058	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.1586	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.1066	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.1600	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.2068	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.1504	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.1575	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.2106	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.1888	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.1301	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.1182	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.1286	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.1506	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.1253	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.2055	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.1764	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.1122	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.1260	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.1506	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.1486	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.1232	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.1643	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.1775	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.1487	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.1664	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.1479	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.0946	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.1125	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.1305	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.1140	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.0850	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.1647	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.1863	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.1776	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.1547	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.1123	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.0957	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.1064	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.1661	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.1234	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.2214	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.0992	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.1978	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.1246	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.2205	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.1629	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.0960	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.1128	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.1648	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.2002	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.1757	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.2262	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.1496	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.1538	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.1709	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.1265	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.1527	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.1603	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.1482	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.1852	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.1220	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.1395	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.1594	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.1486	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.1219	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.1695	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.1104	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.1080	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.1150	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.1247	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.1561	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.2233	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.1261	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.1090	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.1689	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.1458	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.1122	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.1285	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.1590	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.1790	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.1789	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.1088	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.1735	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.1167	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.1304	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.1406	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.1100	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.1288	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.1187	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.2192	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.1255	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.1488	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.1695	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.1875	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.1763	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.1968	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.1459	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.1439	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.1857	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1191	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.1766	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.1643	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.1698	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.1695	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.1786	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1510	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1810	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1038	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.1778	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1516	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1311	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1354	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1396	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1530	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1664	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.2227	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1344	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1461	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1630	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1193	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1446	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.1270	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.1493	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1492, Train Accuracy: 0.9555
Epoch 33 training time consumed: 29.51s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8038, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-33-best.pth
Training Epoch: 34 [256/48700]	Loss: 0.0836	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.1422	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.1268	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.2032	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1036	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1414	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1695	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1647	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1189	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.1551	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.0749	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.1601	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.1844	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.1202	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.1685	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1018	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.1580	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.1128	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.1212	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.1343	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.1789	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.1679	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.1266	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.1052	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.1223	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.0873	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.1261	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.1186	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.1009	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.1329	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.1196	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.1487	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.1884	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.1237	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.1354	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.1869	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.1816	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.1068	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.0893	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.1701	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.1000	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.1451	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.1075	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.1234	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.1456	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.1467	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.1036	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.1390	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.1970	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.1138	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.1559	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.1262	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.1035	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.1250	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1326	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.1656	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.1412	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.1661	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.1267	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.1454	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.1074	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.1515	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.1139	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.1605	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.1177	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.1045	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.1594	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.1779	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.1590	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.1467	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.1354	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.1362	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.1026	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.0850	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.1648	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.1411	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.1749	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.1407	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.1054	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.1857	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.1148	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.1660	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.1180	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.1075	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.1228	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.1106	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.1455	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.1096	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.1458	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.1369	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.0967	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.1311	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.0888	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.1528	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.1009	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.1239	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.1878	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.1640	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.1789	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.1213	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.1140	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.1111	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.0944	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.1242	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.0895	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.1217	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.1364	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.1124	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.1141	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.1754	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.1536	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.1185	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.1619	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.0995	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.1103	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.1719	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.1357	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.0949	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.1401	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.1914	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.0963	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.1168	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.1360	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.1648	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.1134	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.1269	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.0983	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1949	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1988	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1701	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1520	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.1072	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1643	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1661	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1333	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.1773	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1609	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.1983	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1356, Train Accuracy: 0.9587
Epoch 34 training time consumed: 29.49s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8036, Time consumed:0.93s
Training Epoch: 35 [256/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1450	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.0684	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.1386	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.1672	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.1642	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.0875	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.1538	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.1331	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.1461	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.1453	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.1337	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.1329	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.1379	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.1485	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.1719	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.1229	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.1440	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.1641	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.1437	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 35 [14592/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [14848/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 35 [15104/48700]	Loss: 0.1570	LR: 0.000800
Training Epoch: 35 [15360/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [15616/48700]	Loss: 0.1377	LR: 0.000800
Training Epoch: 35 [15872/48700]	Loss: 0.1595	LR: 0.000800
Training Epoch: 35 [16128/48700]	Loss: 0.1977	LR: 0.000800
Training Epoch: 35 [16384/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [16640/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 35 [16896/48700]	Loss: 0.1331	LR: 0.000800
Training Epoch: 35 [17152/48700]	Loss: 0.1525	LR: 0.000800
Training Epoch: 35 [17408/48700]	Loss: 0.1534	LR: 0.000800
Training Epoch: 35 [17664/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [17920/48700]	Loss: 0.0857	LR: 0.000800
Training Epoch: 35 [18176/48700]	Loss: 0.0734	LR: 0.000800
Training Epoch: 35 [18432/48700]	Loss: 0.1380	LR: 0.000800
Training Epoch: 35 [18688/48700]	Loss: 0.1143	LR: 0.000800
Training Epoch: 35 [18944/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 35 [19200/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 35 [19456/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [19712/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 35 [19968/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 35 [20224/48700]	Loss: 0.1430	LR: 0.000800
Training Epoch: 35 [20480/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 35 [20736/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 35 [20992/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 35 [21248/48700]	Loss: 0.1269	LR: 0.000800
Training Epoch: 35 [21504/48700]	Loss: 0.1241	LR: 0.000800
Training Epoch: 35 [21760/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 35 [22016/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [22272/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 35 [22528/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 35 [22784/48700]	Loss: 0.1543	LR: 0.000800
Training Epoch: 35 [23040/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [23296/48700]	Loss: 0.1513	LR: 0.000800
Training Epoch: 35 [23552/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 35 [23808/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 35 [24064/48700]	Loss: 0.1457	LR: 0.000800
Training Epoch: 35 [24320/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [24576/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 35 [24832/48700]	Loss: 0.0853	LR: 0.000800
Training Epoch: 35 [25088/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 35 [25344/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 35 [25600/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [25856/48700]	Loss: 0.1489	LR: 0.000800
Training Epoch: 35 [26112/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 35 [26368/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 35 [26624/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 35 [26880/48700]	Loss: 0.1449	LR: 0.000800
Training Epoch: 35 [27136/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 35 [27392/48700]	Loss: 0.1470	LR: 0.000800
Training Epoch: 35 [27648/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 35 [27904/48700]	Loss: 0.1520	LR: 0.000800
Training Epoch: 35 [28160/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [28416/48700]	Loss: 0.1348	LR: 0.000800
Training Epoch: 35 [28672/48700]	Loss: 0.1402	LR: 0.000800
Training Epoch: 35 [28928/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 35 [29184/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [29440/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 35 [29696/48700]	Loss: 0.1729	LR: 0.000800
Training Epoch: 35 [29952/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 35 [30208/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 35 [30464/48700]	Loss: 0.1445	LR: 0.000800
Training Epoch: 35 [30720/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 35 [30976/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 35 [31232/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 35 [31488/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 35 [31744/48700]	Loss: 0.1418	LR: 0.000800
Training Epoch: 35 [32000/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 35 [32256/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 35 [32512/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 35 [32768/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [33024/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [33280/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 35 [33536/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [33792/48700]	Loss: 0.1557	LR: 0.000800
Training Epoch: 35 [34048/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 35 [34304/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [34560/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 35 [34816/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [35072/48700]	Loss: 0.1495	LR: 0.000800
Training Epoch: 35 [35328/48700]	Loss: 0.1283	LR: 0.000800
Training Epoch: 35 [35584/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [35840/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 35 [36096/48700]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [36352/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 35 [36608/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 35 [36864/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 35 [37120/48700]	Loss: 0.0787	LR: 0.000800
Training Epoch: 35 [37376/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 35 [37632/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 35 [37888/48700]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [38144/48700]	Loss: 0.1593	LR: 0.000800
Training Epoch: 35 [38400/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [38656/48700]	Loss: 0.1873	LR: 0.000800
Training Epoch: 35 [38912/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 35 [39168/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 35 [39424/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 35 [39680/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 35 [39936/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 35 [40192/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [40448/48700]	Loss: 0.1427	LR: 0.000800
Training Epoch: 35 [40704/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 35 [40960/48700]	Loss: 0.1471	LR: 0.000800
Training Epoch: 35 [41216/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [41472/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 35 [41728/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 35 [41984/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [42240/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 35 [42496/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 35 [42752/48700]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [43008/48700]	Loss: 0.0748	LR: 0.000800
Training Epoch: 35 [43264/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 35 [43520/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 35 [43776/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 35 [44032/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [44288/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 35 [44544/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 35 [44800/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 35 [45056/48700]	Loss: 0.0700	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.1464	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.0927	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1548	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.1638	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.1368	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1589	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.1172	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1206, Train Accuracy: 0.9644
Epoch 35 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0028, Accuracy: 0.8046, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 36 [512/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [768/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [1024/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 36 [1280/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [2304/48700]	Loss: 0.0532	LR: 0.000800
Training Epoch: 36 [2560/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 36 [2816/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 36 [3072/48700]	Loss: 0.1038	LR: 0.000800
Training Epoch: 36 [3328/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 36 [3584/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 36 [3840/48700]	Loss: 0.0890	LR: 0.000800
Training Epoch: 36 [4096/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 36 [4352/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [4608/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 36 [4864/48700]	Loss: 0.1297	LR: 0.000800
Training Epoch: 36 [5120/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [5376/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 36 [5632/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [5888/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [6144/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [6400/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 36 [6656/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 36 [6912/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 36 [7168/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [7424/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [7680/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 36 [7936/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [8192/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [8448/48700]	Loss: 0.1387	LR: 0.000800
Training Epoch: 36 [8704/48700]	Loss: 0.0718	LR: 0.000800
Training Epoch: 36 [8960/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 36 [9216/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [9472/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 36 [9728/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 36 [9984/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 36 [10240/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [10496/48700]	Loss: 0.0964	LR: 0.000800
Training Epoch: 36 [10752/48700]	Loss: 0.1393	LR: 0.000800
Training Epoch: 36 [11008/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 36 [11264/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 36 [11520/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 36 [11776/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 36 [12032/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [12288/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 36 [12544/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [12800/48700]	Loss: 0.1457	LR: 0.000800
Training Epoch: 36 [13056/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 36 [13312/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [13568/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 36 [13824/48700]	Loss: 0.1742	LR: 0.000800
Training Epoch: 36 [14080/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 36 [14336/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 36 [14592/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [14848/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 36 [15104/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 36 [15360/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [15616/48700]	Loss: 0.1331	LR: 0.000800
Training Epoch: 36 [15872/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [16128/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 36 [16384/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 36 [16640/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 36 [16896/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 36 [17152/48700]	Loss: 0.0701	LR: 0.000800
Training Epoch: 36 [17408/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [17664/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 36 [17920/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 36 [18176/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 36 [18432/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 36 [18688/48700]	Loss: 0.1447	LR: 0.000800
Training Epoch: 36 [18944/48700]	Loss: 0.1567	LR: 0.000800
Training Epoch: 36 [19200/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [19456/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 36 [19712/48700]	Loss: 0.0936	LR: 0.000800
Training Epoch: 36 [19968/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [20224/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 36 [20480/48700]	Loss: 0.1577	LR: 0.000800
Training Epoch: 36 [20736/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 36 [20992/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [21248/48700]	Loss: 0.1375	LR: 0.000800
Training Epoch: 36 [21504/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 36 [21760/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [22016/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 36 [22272/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [22528/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 36 [22784/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [23040/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 36 [23296/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 36 [23552/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 36 [23808/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 36 [24064/48700]	Loss: 0.0755	LR: 0.000800
Training Epoch: 36 [24320/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [24576/48700]	Loss: 0.0862	LR: 0.000800
Training Epoch: 36 [24832/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 36 [25088/48700]	Loss: 0.1475	LR: 0.000800
Training Epoch: 36 [25344/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [25600/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 36 [25856/48700]	Loss: 0.1551	LR: 0.000800
Training Epoch: 36 [26112/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 36 [26368/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 36 [26624/48700]	Loss: 0.1436	LR: 0.000800
Training Epoch: 36 [26880/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 36 [27136/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [27392/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [27648/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 36 [27904/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 36 [28160/48700]	Loss: 0.1489	LR: 0.000800
Training Epoch: 36 [28416/48700]	Loss: 0.1347	LR: 0.000800
Training Epoch: 36 [28672/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 36 [28928/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [29184/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 36 [29440/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [29696/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 36 [29952/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 36 [30208/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [30464/48700]	Loss: 0.1464	LR: 0.000800
Training Epoch: 36 [30720/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 36 [30976/48700]	Loss: 0.0875	LR: 0.000800
Training Epoch: 36 [31232/48700]	Loss: 0.0905	LR: 0.000800
Training Epoch: 36 [31488/48700]	Loss: 0.1572	LR: 0.000800
Training Epoch: 36 [31744/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 36 [32000/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 36 [32256/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 36 [32512/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 36 [32768/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 36 [33024/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 36 [33280/48700]	Loss: 0.1475	LR: 0.000800
Training Epoch: 36 [33536/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 36 [33792/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [34048/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 36 [34304/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 36 [34560/48700]	Loss: 0.1407	LR: 0.000800
Training Epoch: 36 [34816/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 36 [35072/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 36 [35328/48700]	Loss: 0.1595	LR: 0.000800
Training Epoch: 36 [35584/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 36 [35840/48700]	Loss: 0.1356	LR: 0.000800
Training Epoch: 36 [36096/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 36 [36352/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 36 [36608/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [36864/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [37120/48700]	Loss: 0.1550	LR: 0.000800
Training Epoch: 36 [37376/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [37632/48700]	Loss: 0.0985	LR: 0.000800
Training Epoch: 36 [37888/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [38144/48700]	Loss: 0.1347	LR: 0.000800
Training Epoch: 36 [38400/48700]	Loss: 0.0765	LR: 0.000800
Training Epoch: 36 [38656/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 36 [38912/48700]	Loss: 0.1514	LR: 0.000800
Training Epoch: 36 [39168/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 36 [39424/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [39680/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.1620	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1309	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.0892	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.0777	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.0799	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1677	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.1249	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1118, Train Accuracy: 0.9687
Epoch 36 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0028, Accuracy: 0.8072, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_05h_06m_29s/ResNet18-Cifar20-seed1-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.1839	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.0705	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.1347	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.1339	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.1284	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.0638	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.0811	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.0936	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.0667	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.1544	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.1644	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.1450	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.0748	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.0788	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.1313	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.0749	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [17920/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 37 [18176/48700]	Loss: 0.1392	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [20992/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [21248/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [21504/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [21760/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [22016/48700]	Loss: 0.1340	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.1443	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 37 [22784/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 37 [23040/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 37 [23552/48700]	Loss: 0.1609	LR: 0.000800
Training Epoch: 37 [23808/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.1533	LR: 0.000800
Training Epoch: 37 [24320/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 37 [24576/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [24832/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.0722	LR: 0.000800
Training Epoch: 37 [25344/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.1418	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.1575	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.0681	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.0804	LR: 0.000800
Training Epoch: 37 [29184/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 37 [29440/48700]	Loss: 0.0732	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.0670	LR: 0.000800
Training Epoch: 37 [29952/48700]	Loss: 0.0740	LR: 0.000800
Training Epoch: 37 [30208/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [30464/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.0938	LR: 0.000800
Training Epoch: 37 [31232/48700]	Loss: 0.1496	LR: 0.000800
Training Epoch: 37 [31488/48700]	Loss: 0.1342	LR: 0.000800
Training Epoch: 37 [31744/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 37 [32000/48700]	Loss: 0.1528	LR: 0.000800
Training Epoch: 37 [32256/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 37 [32512/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 37 [32768/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 37 [33024/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 37 [33280/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [33536/48700]	Loss: 0.1457	LR: 0.000800
Training Epoch: 37 [33792/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [34048/48700]	Loss: 0.0832	LR: 0.000800
Training Epoch: 37 [34304/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [34560/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [34816/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 37 [35072/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 37 [35328/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 37 [35584/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 37 [35840/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [36096/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 37 [36352/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 37 [36608/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [36864/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.1296	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.1487	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.1434	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.1413	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.1570	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [40960/48700]	Loss: 0.1499	LR: 0.000800
Training Epoch: 37 [41216/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 37 [41472/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.0730	LR: 0.000800
Training Epoch: 37 [41984/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 37 [42240/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.1020	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1340	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.0663	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.0801	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.2809	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1103, Train Accuracy: 0.9684
Epoch 37 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8067, Time consumed:0.84s
Training Epoch: 38 [256/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.1297	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.0753	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.1660	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.1559	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.1303	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.1664	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.1816	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.1080	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.0676	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 38 [6912/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 38 [7168/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [7424/48700]	Loss: 0.0602	LR: 0.000800
Training Epoch: 38 [7680/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [7936/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [8192/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 38 [8448/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 38 [8704/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [8960/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 38 [9216/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [9472/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 38 [9728/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 38 [9984/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 38 [10240/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [10496/48700]	Loss: 0.0981	LR: 0.000800
Training Epoch: 38 [10752/48700]	Loss: 0.1398	LR: 0.000800
Training Epoch: 38 [11008/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 38 [11264/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 38 [11520/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 38 [11776/48700]	Loss: 0.1067	LR: 0.000800
Training Epoch: 38 [12032/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.1898	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.0789	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.0795	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1321	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.0792	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.1178	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.1250	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.1463	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.1803	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.0792	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.0941	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.1366	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.0696	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.1297	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.1494	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.0776	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1314	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.1498	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1192	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.1516	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.0827	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.0857	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.1552	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.0723	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.1297	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.0698	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.1372	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.0928	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.0777	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.0830	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.0857	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.0578	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.1437	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.0681	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.0565	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.0827	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.0742	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.1574	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2315	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1098, Train Accuracy: 0.9682
Epoch 38 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8057, Time consumed:0.97s
Training Epoch: 39 [256/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.1392	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.0578	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.0718	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.1472	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.0825	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.1364	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.0692	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0635	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.0741	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.0686	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1385	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.0659	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.1449	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.0687	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.0618	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.1420	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.1410	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.1508	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.1323	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0932	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.0903	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.1355	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1560	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.0798	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.0729	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.0736	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.1283	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.0653	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.1386	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.0714	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.0728	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1284	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.1631	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.0595	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.1284	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.0941	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.0862	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.0827	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1226	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.0811	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.1392	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.1625	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.1347	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.0839	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1549	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1318	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1061, Train Accuracy: 0.9707
Epoch 39 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8070, Time consumed:0.90s
Training Epoch: 40 [256/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.1597	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.0788	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.0600	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.0788	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.0679	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.0732	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.1048	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.0818	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.0898	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.0871	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.1461	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.1279	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.1428	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.1319	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.0621	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.1155	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.0775	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.1499	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.0962	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.0608	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.0711	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.1332	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.0542	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.0811	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.1507	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.1469	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.1049	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.1292	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.0756	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.0758	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.0827	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.0622	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.0745	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.0815	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.0783	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.0795	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.0592	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.0839	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.1438	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.1269	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1251	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.1454	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.1449	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.0608	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.0542	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.0674	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1333	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.1313	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.0848	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.1142	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.2458	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1027, Train Accuracy: 0.9709
Epoch 40 training time consumed: 29.73s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8056, Time consumed:0.96s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 80.576171875
Retain Accuracy: 97.55904388427734
Zero-Retain Forget (ZRF): 0.9049072265625
Membership Inference Attack (MIA): 0.5976923076923077
Forget vs Retain Membership Inference Attack (MIA): 0.6576923076923077
Forget vs Test Membership Inference Attack (MIA): 0.5192307692307693
Test vs Retain Membership Inference Attack (MIA): 0.56975
Train vs Test Membership Inference Attack (MIA): 0.5985
Forget Set Accuracy (Df): 79.54427337646484
Method Execution Time: 2201.23 seconds
