
📌 Retain class distribution for seed 5:
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 5:
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: 3.1499	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.1491	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.1182	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0994	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0309	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0315	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9986	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9744	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9091	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9055	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 3.0269	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9448	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9182	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.9271	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8133	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.9052	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8654	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.7496	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.7913	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7783	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.6635	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.7509	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7243	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.6765	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.6936	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6126	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.7337	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.5817	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.6543	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6359	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.5766	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6742	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6432	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6445	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6575	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6620	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.7011	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6599	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6693	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6526	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6811	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.7054	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6077	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5303	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6515	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5356	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.7502	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5823	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.6127	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.7255	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.6742	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.6871	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5476	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6332	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.6986	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.7409	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.8541	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5382	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.6309	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5436	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.8580	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.6499	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.5674	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.6397	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4186	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.5204	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5835	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.6543	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.5562	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.5992	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6112	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.5535	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.4899	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.5541	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.6298	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.6049	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.5586	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5765	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5240	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.5292	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4983	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.6138	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.6985	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4962	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.5256	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.6974	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.4581	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4537	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.5003	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4586	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.4561	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.3753	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5240	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.6221	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.5731	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.3433	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.3969	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.5017	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4114	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.4255	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.5863	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4415	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.5440	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.5145	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.5269	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4640	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.7350	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.4550	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4890	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.4568	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4585	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.5015	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.3552	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.5197	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.4042	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.5679	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4654	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.4798	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3582	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.4400	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.4523	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5111	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4749	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.4279	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.3516	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4397	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4227	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.3424	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.5048	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3121	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.3987	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4753	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.6272	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4045	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.4832	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4342	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4145	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.4528	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.4843	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.4325	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.5845	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.4914	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4772	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.5392	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.3416	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.4564	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.4689	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.5818	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.6165	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.4154	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.4694	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.4307	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3708	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.5412	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.3439	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.4603	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3719	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.4635	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.3772	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.5066	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3801	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.3552	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3376	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.4778	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.2701	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3553	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4844	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.3621	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.4604	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3767	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.2974	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.5019	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.4296	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.4428	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.3792	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.3641	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3179	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4293	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.4767	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.2637	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.3849	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.5588	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3155	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3133	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3396	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3879	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.2355	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.5536	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.4039	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.3625	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.5310	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5607, Train Accuracy: 0.2152
Epoch 1 training time consumed: 30.08s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0103, Accuracy: 0.2378, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.3597	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.3885	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.4277	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.4139	LR: 0.100000
Training Epoch: 2 [1280/48700]	Loss: 2.3949	LR: 0.100000
Training Epoch: 2 [1536/48700]	Loss: 2.3974	LR: 0.100000
Training Epoch: 2 [1792/48700]	Loss: 2.3339	LR: 0.100000
Training Epoch: 2 [2048/48700]	Loss: 2.4115	LR: 0.100000
Training Epoch: 2 [2304/48700]	Loss: 2.2987	LR: 0.100000
Training Epoch: 2 [2560/48700]	Loss: 2.2083	LR: 0.100000
Training Epoch: 2 [2816/48700]	Loss: 2.2829	LR: 0.100000
Training Epoch: 2 [3072/48700]	Loss: 2.2990	LR: 0.100000
Training Epoch: 2 [3328/48700]	Loss: 2.3525	LR: 0.100000
Training Epoch: 2 [3584/48700]	Loss: 2.3613	LR: 0.100000
Training Epoch: 2 [3840/48700]	Loss: 2.1950	LR: 0.100000
Training Epoch: 2 [4096/48700]	Loss: 2.3969	LR: 0.100000
Training Epoch: 2 [4352/48700]	Loss: 2.3128	LR: 0.100000
Training Epoch: 2 [4608/48700]	Loss: 2.2013	LR: 0.100000
Training Epoch: 2 [4864/48700]	Loss: 2.2996	LR: 0.100000
Training Epoch: 2 [5120/48700]	Loss: 2.3493	LR: 0.100000
Training Epoch: 2 [5376/48700]	Loss: 2.3116	LR: 0.100000
Training Epoch: 2 [5632/48700]	Loss: 2.3092	LR: 0.100000
Training Epoch: 2 [5888/48700]	Loss: 2.3139	LR: 0.100000
Training Epoch: 2 [6144/48700]	Loss: 2.5024	LR: 0.100000
Training Epoch: 2 [6400/48700]	Loss: 2.2774	LR: 0.100000
Training Epoch: 2 [6656/48700]	Loss: 2.3000	LR: 0.100000
Training Epoch: 2 [6912/48700]	Loss: 2.3367	LR: 0.100000
Training Epoch: 2 [7168/48700]	Loss: 2.2304	LR: 0.100000
Training Epoch: 2 [7424/48700]	Loss: 2.1885	LR: 0.100000
Training Epoch: 2 [7680/48700]	Loss: 2.4178	LR: 0.100000
Training Epoch: 2 [7936/48700]	Loss: 2.1113	LR: 0.100000
Training Epoch: 2 [8192/48700]	Loss: 2.4296	LR: 0.100000
Training Epoch: 2 [8448/48700]	Loss: 2.2789	LR: 0.100000
Training Epoch: 2 [8704/48700]	Loss: 2.4320	LR: 0.100000
Training Epoch: 2 [8960/48700]	Loss: 2.2436	LR: 0.100000
Training Epoch: 2 [9216/48700]	Loss: 2.3103	LR: 0.100000
Training Epoch: 2 [9472/48700]	Loss: 2.2561	LR: 0.100000
Training Epoch: 2 [9728/48700]	Loss: 2.4844	LR: 0.100000
Training Epoch: 2 [9984/48700]	Loss: 2.2418	LR: 0.100000
Training Epoch: 2 [10240/48700]	Loss: 2.2114	LR: 0.100000
Training Epoch: 2 [10496/48700]	Loss: 2.3329	LR: 0.100000
Training Epoch: 2 [10752/48700]	Loss: 2.2884	LR: 0.100000
Training Epoch: 2 [11008/48700]	Loss: 2.2878	LR: 0.100000
Training Epoch: 2 [11264/48700]	Loss: 2.3373	LR: 0.100000
Training Epoch: 2 [11520/48700]	Loss: 2.2452	LR: 0.100000
Training Epoch: 2 [11776/48700]	Loss: 2.2222	LR: 0.100000
Training Epoch: 2 [12032/48700]	Loss: 2.2919	LR: 0.100000
Training Epoch: 2 [12288/48700]	Loss: 2.3561	LR: 0.100000
Training Epoch: 2 [12544/48700]	Loss: 2.2326	LR: 0.100000
Training Epoch: 2 [12800/48700]	Loss: 2.2951	LR: 0.100000
Training Epoch: 2 [13056/48700]	Loss: 2.4055	LR: 0.100000
Training Epoch: 2 [13312/48700]	Loss: 2.2897	LR: 0.100000
Training Epoch: 2 [13568/48700]	Loss: 2.3097	LR: 0.100000
Training Epoch: 2 [13824/48700]	Loss: 2.2495	LR: 0.100000
Training Epoch: 2 [14080/48700]	Loss: 2.2479	LR: 0.100000
Training Epoch: 2 [14336/48700]	Loss: 2.2157	LR: 0.100000
Training Epoch: 2 [14592/48700]	Loss: 2.4101	LR: 0.100000
Training Epoch: 2 [14848/48700]	Loss: 2.4267	LR: 0.100000
Training Epoch: 2 [15104/48700]	Loss: 2.1950	LR: 0.100000
Training Epoch: 2 [15360/48700]	Loss: 2.4067	LR: 0.100000
Training Epoch: 2 [15616/48700]	Loss: 2.1712	LR: 0.100000
Training Epoch: 2 [15872/48700]	Loss: 2.2396	LR: 0.100000
Training Epoch: 2 [16128/48700]	Loss: 2.1986	LR: 0.100000
Training Epoch: 2 [16384/48700]	Loss: 2.3608	LR: 0.100000
Training Epoch: 2 [16640/48700]	Loss: 2.1775	LR: 0.100000
Training Epoch: 2 [16896/48700]	Loss: 2.0555	LR: 0.100000
Training Epoch: 2 [17152/48700]	Loss: 2.3456	LR: 0.100000
Training Epoch: 2 [17408/48700]	Loss: 2.3117	LR: 0.100000
Training Epoch: 2 [17664/48700]	Loss: 2.2649	LR: 0.100000
Training Epoch: 2 [17920/48700]	Loss: 2.2154	LR: 0.100000
Training Epoch: 2 [18176/48700]	Loss: 2.2097	LR: 0.100000
Training Epoch: 2 [18432/48700]	Loss: 2.2528	LR: 0.100000
Training Epoch: 2 [18688/48700]	Loss: 2.3307	LR: 0.100000
Training Epoch: 2 [18944/48700]	Loss: 2.1559	LR: 0.100000
Training Epoch: 2 [19200/48700]	Loss: 2.3427	LR: 0.100000
Training Epoch: 2 [19456/48700]	Loss: 2.1740	LR: 0.100000
Training Epoch: 2 [19712/48700]	Loss: 2.2966	LR: 0.100000
Training Epoch: 2 [19968/48700]	Loss: 2.1252	LR: 0.100000
Training Epoch: 2 [20224/48700]	Loss: 2.2727	LR: 0.100000
Training Epoch: 2 [20480/48700]	Loss: 2.1500	LR: 0.100000
Training Epoch: 2 [20736/48700]	Loss: 2.2263	LR: 0.100000
Training Epoch: 2 [20992/48700]	Loss: 2.0792	LR: 0.100000
Training Epoch: 2 [21248/48700]	Loss: 2.2862	LR: 0.100000
Training Epoch: 2 [21504/48700]	Loss: 2.1523	LR: 0.100000
Training Epoch: 2 [21760/48700]	Loss: 2.1858	LR: 0.100000
Training Epoch: 2 [22016/48700]	Loss: 2.1543	LR: 0.100000
Training Epoch: 2 [22272/48700]	Loss: 2.1076	LR: 0.100000
Training Epoch: 2 [22528/48700]	Loss: 2.1255	LR: 0.100000
Training Epoch: 2 [22784/48700]	Loss: 2.1430	LR: 0.100000
Training Epoch: 2 [23040/48700]	Loss: 2.0599	LR: 0.100000
Training Epoch: 2 [23296/48700]	Loss: 2.1309	LR: 0.100000
Training Epoch: 2 [23552/48700]	Loss: 2.2905	LR: 0.100000
Training Epoch: 2 [23808/48700]	Loss: 2.0935	LR: 0.100000
Training Epoch: 2 [24064/48700]	Loss: 2.0733	LR: 0.100000
Training Epoch: 2 [24320/48700]	Loss: 2.1985	LR: 0.100000
Training Epoch: 2 [24576/48700]	Loss: 2.1490	LR: 0.100000
Training Epoch: 2 [24832/48700]	Loss: 2.3017	LR: 0.100000
Training Epoch: 2 [25088/48700]	Loss: 2.2171	LR: 0.100000
Training Epoch: 2 [25344/48700]	Loss: 2.0751	LR: 0.100000
Training Epoch: 2 [25600/48700]	Loss: 2.1170	LR: 0.100000
Training Epoch: 2 [25856/48700]	Loss: 2.2383	LR: 0.100000
Training Epoch: 2 [26112/48700]	Loss: 2.1510	LR: 0.100000
Training Epoch: 2 [26368/48700]	Loss: 2.0542	LR: 0.100000
Training Epoch: 2 [26624/48700]	Loss: 2.0622	LR: 0.100000
Training Epoch: 2 [26880/48700]	Loss: 2.1203	LR: 0.100000
Training Epoch: 2 [27136/48700]	Loss: 2.1690	LR: 0.100000
Training Epoch: 2 [27392/48700]	Loss: 2.0947	LR: 0.100000
Training Epoch: 2 [27648/48700]	Loss: 2.1179	LR: 0.100000
Training Epoch: 2 [27904/48700]	Loss: 2.1432	LR: 0.100000
Training Epoch: 2 [28160/48700]	Loss: 2.0895	LR: 0.100000
Training Epoch: 2 [28416/48700]	Loss: 2.0724	LR: 0.100000
Training Epoch: 2 [28672/48700]	Loss: 2.1057	LR: 0.100000
Training Epoch: 2 [28928/48700]	Loss: 2.1106	LR: 0.100000
Training Epoch: 2 [29184/48700]	Loss: 2.1360	LR: 0.100000
Training Epoch: 2 [29440/48700]	Loss: 2.0913	LR: 0.100000
Training Epoch: 2 [29696/48700]	Loss: 2.1092	LR: 0.100000
Training Epoch: 2 [29952/48700]	Loss: 2.1979	LR: 0.100000
Training Epoch: 2 [30208/48700]	Loss: 2.2354	LR: 0.100000
Training Epoch: 2 [30464/48700]	Loss: 2.1130	LR: 0.100000
Training Epoch: 2 [30720/48700]	Loss: 2.0947	LR: 0.100000
Training Epoch: 2 [30976/48700]	Loss: 2.2218	LR: 0.100000
Training Epoch: 2 [31232/48700]	Loss: 2.0850	LR: 0.100000
Training Epoch: 2 [31488/48700]	Loss: 2.1430	LR: 0.100000
Training Epoch: 2 [31744/48700]	Loss: 1.9365	LR: 0.100000
Training Epoch: 2 [32000/48700]	Loss: 2.1165	LR: 0.100000
Training Epoch: 2 [32256/48700]	Loss: 1.9875	LR: 0.100000
Training Epoch: 2 [32512/48700]	Loss: 2.1018	LR: 0.100000
Training Epoch: 2 [32768/48700]	Loss: 2.0129	LR: 0.100000
Training Epoch: 2 [33024/48700]	Loss: 2.2247	LR: 0.100000
Training Epoch: 2 [33280/48700]	Loss: 2.1396	LR: 0.100000
Training Epoch: 2 [33536/48700]	Loss: 1.8812	LR: 0.100000
Training Epoch: 2 [33792/48700]	Loss: 1.9733	LR: 0.100000
Training Epoch: 2 [34048/48700]	Loss: 2.0748	LR: 0.100000
Training Epoch: 2 [34304/48700]	Loss: 2.0348	LR: 0.100000
Training Epoch: 2 [34560/48700]	Loss: 2.0849	LR: 0.100000
Training Epoch: 2 [34816/48700]	Loss: 2.0455	LR: 0.100000
Training Epoch: 2 [35072/48700]	Loss: 1.9333	LR: 0.100000
Training Epoch: 2 [35328/48700]	Loss: 2.0166	LR: 0.100000
Training Epoch: 2 [35584/48700]	Loss: 2.1771	LR: 0.100000
Training Epoch: 2 [35840/48700]	Loss: 2.3135	LR: 0.100000
Training Epoch: 2 [36096/48700]	Loss: 2.1682	LR: 0.100000
Training Epoch: 2 [36352/48700]	Loss: 2.0301	LR: 0.100000
Training Epoch: 2 [36608/48700]	Loss: 2.1179	LR: 0.100000
Training Epoch: 2 [36864/48700]	Loss: 2.0956	LR: 0.100000
Training Epoch: 2 [37120/48700]	Loss: 2.1284	LR: 0.100000
Training Epoch: 2 [37376/48700]	Loss: 2.0341	LR: 0.100000
Training Epoch: 2 [37632/48700]	Loss: 2.0218	LR: 0.100000
Training Epoch: 2 [37888/48700]	Loss: 1.9639	LR: 0.100000
Training Epoch: 2 [38144/48700]	Loss: 1.9884	LR: 0.100000
Training Epoch: 2 [38400/48700]	Loss: 1.8248	LR: 0.100000
Training Epoch: 2 [38656/48700]	Loss: 1.9340	LR: 0.100000
Training Epoch: 2 [38912/48700]	Loss: 2.0626	LR: 0.100000
Training Epoch: 2 [39168/48700]	Loss: 2.1060	LR: 0.100000
Training Epoch: 2 [39424/48700]	Loss: 2.1294	LR: 0.100000
Training Epoch: 2 [39680/48700]	Loss: 2.1040	LR: 0.100000
Training Epoch: 2 [39936/48700]	Loss: 1.9986	LR: 0.100000
Training Epoch: 2 [40192/48700]	Loss: 2.0473	LR: 0.100000
Training Epoch: 2 [40448/48700]	Loss: 2.1235	LR: 0.100000
Training Epoch: 2 [40704/48700]	Loss: 2.1853	LR: 0.100000
Training Epoch: 2 [40960/48700]	Loss: 2.0690	LR: 0.100000
Training Epoch: 2 [41216/48700]	Loss: 2.0227	LR: 0.100000
Training Epoch: 2 [41472/48700]	Loss: 2.0723	LR: 0.100000
Training Epoch: 2 [41728/48700]	Loss: 1.9967	LR: 0.100000
Training Epoch: 2 [41984/48700]	Loss: 1.9691	LR: 0.100000
Training Epoch: 2 [42240/48700]	Loss: 2.0656	LR: 0.100000
Training Epoch: 2 [42496/48700]	Loss: 2.1285	LR: 0.100000
Training Epoch: 2 [42752/48700]	Loss: 2.0215	LR: 0.100000
Training Epoch: 2 [43008/48700]	Loss: 2.1865	LR: 0.100000
Training Epoch: 2 [43264/48700]	Loss: 2.1404	LR: 0.100000
Training Epoch: 2 [43520/48700]	Loss: 2.1391	LR: 0.100000
Training Epoch: 2 [43776/48700]	Loss: 1.9242	LR: 0.100000
Training Epoch: 2 [44032/48700]	Loss: 1.9752	LR: 0.100000
Training Epoch: 2 [44288/48700]	Loss: 1.9628	LR: 0.100000
Training Epoch: 2 [44544/48700]	Loss: 2.0172	LR: 0.100000
Training Epoch: 2 [44800/48700]	Loss: 1.9450	LR: 0.100000
Training Epoch: 2 [45056/48700]	Loss: 1.9807	LR: 0.100000
Training Epoch: 2 [45312/48700]	Loss: 2.0131	LR: 0.100000
Training Epoch: 2 [45568/48700]	Loss: 1.9895	LR: 0.100000
Training Epoch: 2 [45824/48700]	Loss: 1.8403	LR: 0.100000
Training Epoch: 2 [46080/48700]	Loss: 1.8895	LR: 0.100000
Training Epoch: 2 [46336/48700]	Loss: 2.2454	LR: 0.100000
Training Epoch: 2 [46592/48700]	Loss: 1.9770	LR: 0.100000
Training Epoch: 2 [46848/48700]	Loss: 1.9135	LR: 0.100000
Training Epoch: 2 [47104/48700]	Loss: 2.1056	LR: 0.100000
Training Epoch: 2 [47360/48700]	Loss: 2.1100	LR: 0.100000
Training Epoch: 2 [47616/48700]	Loss: 1.9697	LR: 0.100000
Training Epoch: 2 [47872/48700]	Loss: 1.8993	LR: 0.100000
Training Epoch: 2 [48128/48700]	Loss: 2.0152	LR: 0.100000
Training Epoch: 2 [48384/48700]	Loss: 1.9658	LR: 0.100000
Training Epoch: 2 [48640/48700]	Loss: 2.0494	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.3434	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1708, Train Accuracy: 0.3272
Epoch 2 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0086, Accuracy: 0.3514, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9931	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 2.0842	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9852	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9572	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 2.0128	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 2.1351	LR: 0.100000
Training Epoch: 3 [1792/48700]	Loss: 2.1119	LR: 0.100000
Training Epoch: 3 [2048/48700]	Loss: 2.0492	LR: 0.100000
Training Epoch: 3 [2304/48700]	Loss: 1.9780	LR: 0.100000
Training Epoch: 3 [2560/48700]	Loss: 1.9753	LR: 0.100000
Training Epoch: 3 [2816/48700]	Loss: 2.0055	LR: 0.100000
Training Epoch: 3 [3072/48700]	Loss: 1.9768	LR: 0.100000
Training Epoch: 3 [3328/48700]	Loss: 1.8619	LR: 0.100000
Training Epoch: 3 [3584/48700]	Loss: 2.0104	LR: 0.100000
Training Epoch: 3 [3840/48700]	Loss: 1.9760	LR: 0.100000
Training Epoch: 3 [4096/48700]	Loss: 1.9665	LR: 0.100000
Training Epoch: 3 [4352/48700]	Loss: 1.8327	LR: 0.100000
Training Epoch: 3 [4608/48700]	Loss: 1.9890	LR: 0.100000
Training Epoch: 3 [4864/48700]	Loss: 1.9884	LR: 0.100000
Training Epoch: 3 [5120/48700]	Loss: 2.0232	LR: 0.100000
Training Epoch: 3 [5376/48700]	Loss: 1.7827	LR: 0.100000
Training Epoch: 3 [5632/48700]	Loss: 2.0775	LR: 0.100000
Training Epoch: 3 [5888/48700]	Loss: 1.8721	LR: 0.100000
Training Epoch: 3 [6144/48700]	Loss: 2.0884	LR: 0.100000
Training Epoch: 3 [6400/48700]	Loss: 1.9293	LR: 0.100000
Training Epoch: 3 [6656/48700]	Loss: 1.9466	LR: 0.100000
Training Epoch: 3 [6912/48700]	Loss: 1.9421	LR: 0.100000
Training Epoch: 3 [7168/48700]	Loss: 1.8652	LR: 0.100000
Training Epoch: 3 [7424/48700]	Loss: 1.9943	LR: 0.100000
Training Epoch: 3 [7680/48700]	Loss: 1.9012	LR: 0.100000
Training Epoch: 3 [7936/48700]	Loss: 1.9488	LR: 0.100000
Training Epoch: 3 [8192/48700]	Loss: 1.8105	LR: 0.100000
Training Epoch: 3 [8448/48700]	Loss: 1.8510	LR: 0.100000
Training Epoch: 3 [8704/48700]	Loss: 1.9864	LR: 0.100000
Training Epoch: 3 [8960/48700]	Loss: 1.9075	LR: 0.100000
Training Epoch: 3 [9216/48700]	Loss: 2.1281	LR: 0.100000
Training Epoch: 3 [9472/48700]	Loss: 1.8908	LR: 0.100000
Training Epoch: 3 [9728/48700]	Loss: 2.0344	LR: 0.100000
Training Epoch: 3 [9984/48700]	Loss: 1.9405	LR: 0.100000
Training Epoch: 3 [10240/48700]	Loss: 1.9457	LR: 0.100000
Training Epoch: 3 [10496/48700]	Loss: 1.9120	LR: 0.100000
Training Epoch: 3 [10752/48700]	Loss: 1.8925	LR: 0.100000
Training Epoch: 3 [11008/48700]	Loss: 2.1064	LR: 0.100000
Training Epoch: 3 [11264/48700]	Loss: 2.0123	LR: 0.100000
Training Epoch: 3 [11520/48700]	Loss: 2.0884	LR: 0.100000
Training Epoch: 3 [11776/48700]	Loss: 1.9001	LR: 0.100000
Training Epoch: 3 [12032/48700]	Loss: 1.9059	LR: 0.100000
Training Epoch: 3 [12288/48700]	Loss: 1.9643	LR: 0.100000
Training Epoch: 3 [12544/48700]	Loss: 1.9842	LR: 0.100000
Training Epoch: 3 [12800/48700]	Loss: 2.0257	LR: 0.100000
Training Epoch: 3 [13056/48700]	Loss: 2.0213	LR: 0.100000
Training Epoch: 3 [13312/48700]	Loss: 1.8975	LR: 0.100000
Training Epoch: 3 [13568/48700]	Loss: 2.0343	LR: 0.100000
Training Epoch: 3 [13824/48700]	Loss: 1.9374	LR: 0.100000
Training Epoch: 3 [14080/48700]	Loss: 1.9932	LR: 0.100000
Training Epoch: 3 [14336/48700]	Loss: 1.8805	LR: 0.100000
Training Epoch: 3 [14592/48700]	Loss: 2.0289	LR: 0.100000
Training Epoch: 3 [14848/48700]	Loss: 1.9213	LR: 0.100000
Training Epoch: 3 [15104/48700]	Loss: 2.1419	LR: 0.100000
Training Epoch: 3 [15360/48700]	Loss: 1.9301	LR: 0.100000
Training Epoch: 3 [15616/48700]	Loss: 1.8361	LR: 0.100000
Training Epoch: 3 [15872/48700]	Loss: 1.8815	LR: 0.100000
Training Epoch: 3 [16128/48700]	Loss: 1.8907	LR: 0.100000
Training Epoch: 3 [16384/48700]	Loss: 1.8694	LR: 0.100000
Training Epoch: 3 [16640/48700]	Loss: 1.9418	LR: 0.100000
Training Epoch: 3 [16896/48700]	Loss: 1.9215	LR: 0.100000
Training Epoch: 3 [17152/48700]	Loss: 1.9468	LR: 0.100000
Training Epoch: 3 [17408/48700]	Loss: 1.8812	LR: 0.100000
Training Epoch: 3 [17664/48700]	Loss: 1.8941	LR: 0.100000
Training Epoch: 3 [17920/48700]	Loss: 1.9964	LR: 0.100000
Training Epoch: 3 [18176/48700]	Loss: 2.0769	LR: 0.100000
Training Epoch: 3 [18432/48700]	Loss: 1.9100	LR: 0.100000
Training Epoch: 3 [18688/48700]	Loss: 1.9494	LR: 0.100000
Training Epoch: 3 [18944/48700]	Loss: 1.7858	LR: 0.100000
Training Epoch: 3 [19200/48700]	Loss: 2.1093	LR: 0.100000
Training Epoch: 3 [19456/48700]	Loss: 1.8887	LR: 0.100000
Training Epoch: 3 [19712/48700]	Loss: 1.8602	LR: 0.100000
Training Epoch: 3 [19968/48700]	Loss: 1.8606	LR: 0.100000
Training Epoch: 3 [20224/48700]	Loss: 1.9838	LR: 0.100000
Training Epoch: 3 [20480/48700]	Loss: 1.8041	LR: 0.100000
Training Epoch: 3 [20736/48700]	Loss: 2.0377	LR: 0.100000
Training Epoch: 3 [20992/48700]	Loss: 1.8362	LR: 0.100000
Training Epoch: 3 [21248/48700]	Loss: 1.7483	LR: 0.100000
Training Epoch: 3 [21504/48700]	Loss: 1.7831	LR: 0.100000
Training Epoch: 3 [21760/48700]	Loss: 1.7862	LR: 0.100000
Training Epoch: 3 [22016/48700]	Loss: 1.9712	LR: 0.100000
Training Epoch: 3 [22272/48700]	Loss: 1.9824	LR: 0.100000
Training Epoch: 3 [22528/48700]	Loss: 1.8172	LR: 0.100000
Training Epoch: 3 [22784/48700]	Loss: 1.9646	LR: 0.100000
Training Epoch: 3 [23040/48700]	Loss: 1.9538	LR: 0.100000
Training Epoch: 3 [23296/48700]	Loss: 2.0251	LR: 0.100000
Training Epoch: 3 [23552/48700]	Loss: 1.8565	LR: 0.100000
Training Epoch: 3 [23808/48700]	Loss: 1.8210	LR: 0.100000
Training Epoch: 3 [24064/48700]	Loss: 1.9168	LR: 0.100000
Training Epoch: 3 [24320/48700]	Loss: 2.0464	LR: 0.100000
Training Epoch: 3 [24576/48700]	Loss: 1.9176	LR: 0.100000
Training Epoch: 3 [24832/48700]	Loss: 1.9161	LR: 0.100000
Training Epoch: 3 [25088/48700]	Loss: 1.9254	LR: 0.100000
Training Epoch: 3 [25344/48700]	Loss: 1.7983	LR: 0.100000
Training Epoch: 3 [25600/48700]	Loss: 1.8585	LR: 0.100000
Training Epoch: 3 [25856/48700]	Loss: 1.9225	LR: 0.100000
Training Epoch: 3 [26112/48700]	Loss: 2.0351	LR: 0.100000
Training Epoch: 3 [26368/48700]	Loss: 1.8921	LR: 0.100000
Training Epoch: 3 [26624/48700]	Loss: 1.8797	LR: 0.100000
Training Epoch: 3 [26880/48700]	Loss: 1.7610	LR: 0.100000
Training Epoch: 3 [27136/48700]	Loss: 1.7926	LR: 0.100000
Training Epoch: 3 [27392/48700]	Loss: 1.9803	LR: 0.100000
Training Epoch: 3 [27648/48700]	Loss: 1.7987	LR: 0.100000
Training Epoch: 3 [27904/48700]	Loss: 2.0015	LR: 0.100000
Training Epoch: 3 [28160/48700]	Loss: 1.7927	LR: 0.100000
Training Epoch: 3 [28416/48700]	Loss: 1.8694	LR: 0.100000
Training Epoch: 3 [28672/48700]	Loss: 1.8968	LR: 0.100000
Training Epoch: 3 [28928/48700]	Loss: 1.9579	LR: 0.100000
Training Epoch: 3 [29184/48700]	Loss: 2.0296	LR: 0.100000
Training Epoch: 3 [29440/48700]	Loss: 1.8598	LR: 0.100000
Training Epoch: 3 [29696/48700]	Loss: 1.8599	LR: 0.100000
Training Epoch: 3 [29952/48700]	Loss: 1.9339	LR: 0.100000
Training Epoch: 3 [30208/48700]	Loss: 1.9956	LR: 0.100000
Training Epoch: 3 [30464/48700]	Loss: 1.8804	LR: 0.100000
Training Epoch: 3 [30720/48700]	Loss: 1.9353	LR: 0.100000
Training Epoch: 3 [30976/48700]	Loss: 1.8161	LR: 0.100000
Training Epoch: 3 [31232/48700]	Loss: 1.7945	LR: 0.100000
Training Epoch: 3 [31488/48700]	Loss: 2.0756	LR: 0.100000
Training Epoch: 3 [31744/48700]	Loss: 1.9597	LR: 0.100000
Training Epoch: 3 [32000/48700]	Loss: 1.9306	LR: 0.100000
Training Epoch: 3 [32256/48700]	Loss: 1.8647	LR: 0.100000
Training Epoch: 3 [32512/48700]	Loss: 2.2004	LR: 0.100000
Training Epoch: 3 [32768/48700]	Loss: 1.8275	LR: 0.100000
Training Epoch: 3 [33024/48700]	Loss: 1.9434	LR: 0.100000
Training Epoch: 3 [33280/48700]	Loss: 1.9956	LR: 0.100000
Training Epoch: 3 [33536/48700]	Loss: 1.7383	LR: 0.100000
Training Epoch: 3 [33792/48700]	Loss: 2.0323	LR: 0.100000
Training Epoch: 3 [34048/48700]	Loss: 1.8484	LR: 0.100000
Training Epoch: 3 [34304/48700]	Loss: 1.7934	LR: 0.100000
Training Epoch: 3 [34560/48700]	Loss: 1.6953	LR: 0.100000
Training Epoch: 3 [34816/48700]	Loss: 2.0138	LR: 0.100000
Training Epoch: 3 [35072/48700]	Loss: 1.7346	LR: 0.100000
Training Epoch: 3 [35328/48700]	Loss: 1.7958	LR: 0.100000
Training Epoch: 3 [35584/48700]	Loss: 1.7834	LR: 0.100000
Training Epoch: 3 [35840/48700]	Loss: 2.0175	LR: 0.100000
Training Epoch: 3 [36096/48700]	Loss: 1.9863	LR: 0.100000
Training Epoch: 3 [36352/48700]	Loss: 1.7989	LR: 0.100000
Training Epoch: 3 [36608/48700]	Loss: 1.8604	LR: 0.100000
Training Epoch: 3 [36864/48700]	Loss: 1.8426	LR: 0.100000
Training Epoch: 3 [37120/48700]	Loss: 1.7910	LR: 0.100000
Training Epoch: 3 [37376/48700]	Loss: 1.9505	LR: 0.100000
Training Epoch: 3 [37632/48700]	Loss: 1.9454	LR: 0.100000
Training Epoch: 3 [37888/48700]	Loss: 1.9658	LR: 0.100000
Training Epoch: 3 [38144/48700]	Loss: 1.8115	LR: 0.100000
Training Epoch: 3 [38400/48700]	Loss: 1.8021	LR: 0.100000
Training Epoch: 3 [38656/48700]	Loss: 1.9100	LR: 0.100000
Training Epoch: 3 [38912/48700]	Loss: 1.7126	LR: 0.100000
Training Epoch: 3 [39168/48700]	Loss: 1.7756	LR: 0.100000
Training Epoch: 3 [39424/48700]	Loss: 1.8716	LR: 0.100000
Training Epoch: 3 [39680/48700]	Loss: 1.6792	LR: 0.100000
Training Epoch: 3 [39936/48700]	Loss: 1.8994	LR: 0.100000
Training Epoch: 3 [40192/48700]	Loss: 1.8223	LR: 0.100000
Training Epoch: 3 [40448/48700]	Loss: 1.9729	LR: 0.100000
Training Epoch: 3 [40704/48700]	Loss: 1.8960	LR: 0.100000
Training Epoch: 3 [40960/48700]	Loss: 1.8883	LR: 0.100000
Training Epoch: 3 [41216/48700]	Loss: 1.6177	LR: 0.100000
Training Epoch: 3 [41472/48700]	Loss: 1.8313	LR: 0.100000
Training Epoch: 3 [41728/48700]	Loss: 1.7943	LR: 0.100000
Training Epoch: 3 [41984/48700]	Loss: 1.8518	LR: 0.100000
Training Epoch: 3 [42240/48700]	Loss: 1.7161	LR: 0.100000
Training Epoch: 3 [42496/48700]	Loss: 1.7830	LR: 0.100000
Training Epoch: 3 [42752/48700]	Loss: 1.7194	LR: 0.100000
Training Epoch: 3 [43008/48700]	Loss: 1.8970	LR: 0.100000
Training Epoch: 3 [43264/48700]	Loss: 1.8044	LR: 0.100000
Training Epoch: 3 [43520/48700]	Loss: 1.7778	LR: 0.100000
Training Epoch: 3 [43776/48700]	Loss: 1.7883	LR: 0.100000
Training Epoch: 3 [44032/48700]	Loss: 1.9594	LR: 0.100000
Training Epoch: 3 [44288/48700]	Loss: 1.7930	LR: 0.100000
Training Epoch: 3 [44544/48700]	Loss: 1.7129	LR: 0.100000
Training Epoch: 3 [44800/48700]	Loss: 1.8381	LR: 0.100000
Training Epoch: 3 [45056/48700]	Loss: 1.8252	LR: 0.100000
Training Epoch: 3 [45312/48700]	Loss: 1.8410	LR: 0.100000
Training Epoch: 3 [45568/48700]	Loss: 1.7812	LR: 0.100000
Training Epoch: 3 [45824/48700]	Loss: 1.7846	LR: 0.100000
Training Epoch: 3 [46080/48700]	Loss: 1.7718	LR: 0.100000
Training Epoch: 3 [46336/48700]	Loss: 1.7651	LR: 0.100000
Training Epoch: 3 [46592/48700]	Loss: 1.7649	LR: 0.100000
Training Epoch: 3 [46848/48700]	Loss: 1.7937	LR: 0.100000
Training Epoch: 3 [47104/48700]	Loss: 1.7837	LR: 0.100000
Training Epoch: 3 [47360/48700]	Loss: 1.7601	LR: 0.100000
Training Epoch: 3 [47616/48700]	Loss: 1.7868	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.8505	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.6526	LR: 0.100000
Training Epoch: 3 [48384/48700]	Loss: 1.7531	LR: 0.100000
Training Epoch: 3 [48640/48700]	Loss: 1.6140	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.6497	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9003, Train Accuracy: 0.4052
Epoch 3 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0079, Accuracy: 0.3876, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.8034	LR: 0.100000
Training Epoch: 4 [512/48700]	Loss: 1.8794	LR: 0.100000
Training Epoch: 4 [768/48700]	Loss: 1.9353	LR: 0.100000
Training Epoch: 4 [1024/48700]	Loss: 1.8436	LR: 0.100000
Training Epoch: 4 [1280/48700]	Loss: 1.9119	LR: 0.100000
Training Epoch: 4 [1536/48700]	Loss: 1.8612	LR: 0.100000
Training Epoch: 4 [1792/48700]	Loss: 1.7968	LR: 0.100000
Training Epoch: 4 [2048/48700]	Loss: 1.9123	LR: 0.100000
Training Epoch: 4 [2304/48700]	Loss: 1.9125	LR: 0.100000
Training Epoch: 4 [2560/48700]	Loss: 1.7758	LR: 0.100000
Training Epoch: 4 [2816/48700]	Loss: 1.8151	LR: 0.100000
Training Epoch: 4 [3072/48700]	Loss: 1.7243	LR: 0.100000
Training Epoch: 4 [3328/48700]	Loss: 1.8000	LR: 0.100000
Training Epoch: 4 [3584/48700]	Loss: 1.8368	LR: 0.100000
Training Epoch: 4 [3840/48700]	Loss: 1.6919	LR: 0.100000
Training Epoch: 4 [4096/48700]	Loss: 1.8607	LR: 0.100000
Training Epoch: 4 [4352/48700]	Loss: 1.7361	LR: 0.100000
Training Epoch: 4 [4608/48700]	Loss: 1.8816	LR: 0.100000
Training Epoch: 4 [4864/48700]	Loss: 1.8313	LR: 0.100000
Training Epoch: 4 [5120/48700]	Loss: 1.7109	LR: 0.100000
Training Epoch: 4 [5376/48700]	Loss: 1.8531	LR: 0.100000
Training Epoch: 4 [5632/48700]	Loss: 1.8720	LR: 0.100000
Training Epoch: 4 [5888/48700]	Loss: 1.7133	LR: 0.100000
Training Epoch: 4 [6144/48700]	Loss: 1.7763	LR: 0.100000
Training Epoch: 4 [6400/48700]	Loss: 1.8286	LR: 0.100000
Training Epoch: 4 [6656/48700]	Loss: 1.8935	LR: 0.100000
Training Epoch: 4 [6912/48700]	Loss: 1.7044	LR: 0.100000
Training Epoch: 4 [7168/48700]	Loss: 1.8510	LR: 0.100000
Training Epoch: 4 [7424/48700]	Loss: 1.8572	LR: 0.100000
Training Epoch: 4 [7680/48700]	Loss: 1.8870	LR: 0.100000
Training Epoch: 4 [7936/48700]	Loss: 1.8248	LR: 0.100000
Training Epoch: 4 [8192/48700]	Loss: 1.9643	LR: 0.100000
Training Epoch: 4 [8448/48700]	Loss: 1.7425	LR: 0.100000
Training Epoch: 4 [8704/48700]	Loss: 1.8968	LR: 0.100000
Training Epoch: 4 [8960/48700]	Loss: 1.5905	LR: 0.100000
Training Epoch: 4 [9216/48700]	Loss: 1.7429	LR: 0.100000
Training Epoch: 4 [9472/48700]	Loss: 1.7971	LR: 0.100000
Training Epoch: 4 [9728/48700]	Loss: 1.7314	LR: 0.100000
Training Epoch: 4 [9984/48700]	Loss: 1.7777	LR: 0.100000
Training Epoch: 4 [10240/48700]	Loss: 1.7665	LR: 0.100000
Training Epoch: 4 [10496/48700]	Loss: 1.7427	LR: 0.100000
Training Epoch: 4 [10752/48700]	Loss: 1.7838	LR: 0.100000
Training Epoch: 4 [11008/48700]	Loss: 1.7041	LR: 0.100000
Training Epoch: 4 [11264/48700]	Loss: 1.8007	LR: 0.100000
Training Epoch: 4 [11520/48700]	Loss: 1.7504	LR: 0.100000
Training Epoch: 4 [11776/48700]	Loss: 1.6977	LR: 0.100000
Training Epoch: 4 [12032/48700]	Loss: 1.7908	LR: 0.100000
Training Epoch: 4 [12288/48700]	Loss: 1.7202	LR: 0.100000
Training Epoch: 4 [12544/48700]	Loss: 1.9084	LR: 0.100000
Training Epoch: 4 [12800/48700]	Loss: 1.6574	LR: 0.100000
Training Epoch: 4 [13056/48700]	Loss: 1.8459	LR: 0.100000
Training Epoch: 4 [13312/48700]	Loss: 1.7673	LR: 0.100000
Training Epoch: 4 [13568/48700]	Loss: 1.7630	LR: 0.100000
Training Epoch: 4 [13824/48700]	Loss: 1.7016	LR: 0.100000
Training Epoch: 4 [14080/48700]	Loss: 1.8312	LR: 0.100000
Training Epoch: 4 [14336/48700]	Loss: 1.6841	LR: 0.100000
Training Epoch: 4 [14592/48700]	Loss: 1.8205	LR: 0.100000
Training Epoch: 4 [14848/48700]	Loss: 1.8050	LR: 0.100000
Training Epoch: 4 [15104/48700]	Loss: 1.7789	LR: 0.100000
Training Epoch: 4 [15360/48700]	Loss: 1.6652	LR: 0.100000
Training Epoch: 4 [15616/48700]	Loss: 1.4682	LR: 0.100000
Training Epoch: 4 [15872/48700]	Loss: 1.7404	LR: 0.100000
Training Epoch: 4 [16128/48700]	Loss: 1.7193	LR: 0.100000
Training Epoch: 4 [16384/48700]	Loss: 1.6097	LR: 0.100000
Training Epoch: 4 [16640/48700]	Loss: 1.7047	LR: 0.100000
Training Epoch: 4 [16896/48700]	Loss: 1.6592	LR: 0.100000
Training Epoch: 4 [17152/48700]	Loss: 1.6099	LR: 0.100000
Training Epoch: 4 [17408/48700]	Loss: 1.6537	LR: 0.100000
Training Epoch: 4 [17664/48700]	Loss: 1.5723	LR: 0.100000
Training Epoch: 4 [17920/48700]	Loss: 1.6109	LR: 0.100000
Training Epoch: 4 [18176/48700]	Loss: 1.7931	LR: 0.100000
Training Epoch: 4 [18432/48700]	Loss: 1.8096	LR: 0.100000
Training Epoch: 4 [18688/48700]	Loss: 1.6194	LR: 0.100000
Training Epoch: 4 [18944/48700]	Loss: 1.6373	LR: 0.100000
Training Epoch: 4 [19200/48700]	Loss: 1.6277	LR: 0.100000
Training Epoch: 4 [19456/48700]	Loss: 1.7145	LR: 0.100000
Training Epoch: 4 [19712/48700]	Loss: 1.9090	LR: 0.100000
Training Epoch: 4 [19968/48700]	Loss: 1.7038	LR: 0.100000
Training Epoch: 4 [20224/48700]	Loss: 1.6425	LR: 0.100000
Training Epoch: 4 [20480/48700]	Loss: 1.5254	LR: 0.100000
Training Epoch: 4 [20736/48700]	Loss: 1.7483	LR: 0.100000
Training Epoch: 4 [20992/48700]	Loss: 1.6848	LR: 0.100000
Training Epoch: 4 [21248/48700]	Loss: 1.7282	LR: 0.100000
Training Epoch: 4 [21504/48700]	Loss: 1.7236	LR: 0.100000
Training Epoch: 4 [21760/48700]	Loss: 1.7305	LR: 0.100000
Training Epoch: 4 [22016/48700]	Loss: 1.8851	LR: 0.100000
Training Epoch: 4 [22272/48700]	Loss: 1.7095	LR: 0.100000
Training Epoch: 4 [22528/48700]	Loss: 1.8690	LR: 0.100000
Training Epoch: 4 [22784/48700]	Loss: 1.6946	LR: 0.100000
Training Epoch: 4 [23040/48700]	Loss: 1.6420	LR: 0.100000
Training Epoch: 4 [23296/48700]	Loss: 1.6576	LR: 0.100000
Training Epoch: 4 [23552/48700]	Loss: 1.6537	LR: 0.100000
Training Epoch: 4 [23808/48700]	Loss: 1.7213	LR: 0.100000
Training Epoch: 4 [24064/48700]	Loss: 1.5975	LR: 0.100000
Training Epoch: 4 [24320/48700]	Loss: 1.8048	LR: 0.100000
Training Epoch: 4 [24576/48700]	Loss: 1.9132	LR: 0.100000
Training Epoch: 4 [24832/48700]	Loss: 1.8564	LR: 0.100000
Training Epoch: 4 [25088/48700]	Loss: 1.7766	LR: 0.100000
Training Epoch: 4 [25344/48700]	Loss: 1.6341	LR: 0.100000
Training Epoch: 4 [25600/48700]	Loss: 1.7896	LR: 0.100000
Training Epoch: 4 [25856/48700]	Loss: 1.7768	LR: 0.100000
Training Epoch: 4 [26112/48700]	Loss: 1.7135	LR: 0.100000
Training Epoch: 4 [26368/48700]	Loss: 1.6361	LR: 0.100000
Training Epoch: 4 [26624/48700]	Loss: 1.5928	LR: 0.100000
Training Epoch: 4 [26880/48700]	Loss: 1.6176	LR: 0.100000
Training Epoch: 4 [27136/48700]	Loss: 1.6386	LR: 0.100000
Training Epoch: 4 [27392/48700]	Loss: 1.6787	LR: 0.100000
Training Epoch: 4 [27648/48700]	Loss: 1.7111	LR: 0.100000
Training Epoch: 4 [27904/48700]	Loss: 1.6435	LR: 0.100000
Training Epoch: 4 [28160/48700]	Loss: 1.7949	LR: 0.100000
Training Epoch: 4 [28416/48700]	Loss: 1.7074	LR: 0.100000
Training Epoch: 4 [28672/48700]	Loss: 1.7927	LR: 0.100000
Training Epoch: 4 [28928/48700]	Loss: 1.7819	LR: 0.100000
Training Epoch: 4 [29184/48700]	Loss: 1.5266	LR: 0.100000
Training Epoch: 4 [29440/48700]	Loss: 1.6986	LR: 0.100000
Training Epoch: 4 [29696/48700]	Loss: 1.6768	LR: 0.100000
Training Epoch: 4 [29952/48700]	Loss: 1.6939	LR: 0.100000
Training Epoch: 4 [30208/48700]	Loss: 1.6680	LR: 0.100000
Training Epoch: 4 [30464/48700]	Loss: 1.6402	LR: 0.100000
Training Epoch: 4 [30720/48700]	Loss: 1.7248	LR: 0.100000
Training Epoch: 4 [30976/48700]	Loss: 1.7124	LR: 0.100000
Training Epoch: 4 [31232/48700]	Loss: 1.6961	LR: 0.100000
Training Epoch: 4 [31488/48700]	Loss: 1.5638	LR: 0.100000
Training Epoch: 4 [31744/48700]	Loss: 1.6706	LR: 0.100000
Training Epoch: 4 [32000/48700]	Loss: 1.6654	LR: 0.100000
Training Epoch: 4 [32256/48700]	Loss: 1.6465	LR: 0.100000
Training Epoch: 4 [32512/48700]	Loss: 1.5355	LR: 0.100000
Training Epoch: 4 [32768/48700]	Loss: 1.3872	LR: 0.100000
Training Epoch: 4 [33024/48700]	Loss: 1.6582	LR: 0.100000
Training Epoch: 4 [33280/48700]	Loss: 1.6706	LR: 0.100000
Training Epoch: 4 [33536/48700]	Loss: 1.5320	LR: 0.100000
Training Epoch: 4 [33792/48700]	Loss: 1.7002	LR: 0.100000
Training Epoch: 4 [34048/48700]	Loss: 1.7607	LR: 0.100000
Training Epoch: 4 [34304/48700]	Loss: 1.7203	LR: 0.100000
Training Epoch: 4 [34560/48700]	Loss: 1.7098	LR: 0.100000
Training Epoch: 4 [34816/48700]	Loss: 1.6384	LR: 0.100000
Training Epoch: 4 [35072/48700]	Loss: 1.6216	LR: 0.100000
Training Epoch: 4 [35328/48700]	Loss: 1.5801	LR: 0.100000
Training Epoch: 4 [35584/48700]	Loss: 1.6658	LR: 0.100000
Training Epoch: 4 [35840/48700]	Loss: 1.4456	LR: 0.100000
Training Epoch: 4 [36096/48700]	Loss: 1.5915	LR: 0.100000
Training Epoch: 4 [36352/48700]	Loss: 1.5647	LR: 0.100000
Training Epoch: 4 [36608/48700]	Loss: 1.5681	LR: 0.100000
Training Epoch: 4 [36864/48700]	Loss: 1.6179	LR: 0.100000
Training Epoch: 4 [37120/48700]	Loss: 1.6546	LR: 0.100000
Training Epoch: 4 [37376/48700]	Loss: 1.6698	LR: 0.100000
Training Epoch: 4 [37632/48700]	Loss: 1.6143	LR: 0.100000
Training Epoch: 4 [37888/48700]	Loss: 1.5477	LR: 0.100000
Training Epoch: 4 [38144/48700]	Loss: 1.7446	LR: 0.100000
Training Epoch: 4 [38400/48700]	Loss: 1.5055	LR: 0.100000
Training Epoch: 4 [38656/48700]	Loss: 1.5902	LR: 0.100000
Training Epoch: 4 [38912/48700]	Loss: 1.5014	LR: 0.100000
Training Epoch: 4 [39168/48700]	Loss: 1.6715	LR: 0.100000
Training Epoch: 4 [39424/48700]	Loss: 1.6845	LR: 0.100000
Training Epoch: 4 [39680/48700]	Loss: 1.5987	LR: 0.100000
Training Epoch: 4 [39936/48700]	Loss: 1.5008	LR: 0.100000
Training Epoch: 4 [40192/48700]	Loss: 1.5793	LR: 0.100000
Training Epoch: 4 [40448/48700]	Loss: 1.6775	LR: 0.100000
Training Epoch: 4 [40704/48700]	Loss: 1.5254	LR: 0.100000
Training Epoch: 4 [40960/48700]	Loss: 1.5066	LR: 0.100000
Training Epoch: 4 [41216/48700]	Loss: 1.4383	LR: 0.100000
Training Epoch: 4 [41472/48700]	Loss: 1.5670	LR: 0.100000
Training Epoch: 4 [41728/48700]	Loss: 1.7157	LR: 0.100000
Training Epoch: 4 [41984/48700]	Loss: 1.5415	LR: 0.100000
Training Epoch: 4 [42240/48700]	Loss: 1.6110	LR: 0.100000
Training Epoch: 4 [42496/48700]	Loss: 1.8457	LR: 0.100000
Training Epoch: 4 [42752/48700]	Loss: 1.6780	LR: 0.100000
Training Epoch: 4 [43008/48700]	Loss: 1.8868	LR: 0.100000
Training Epoch: 4 [43264/48700]	Loss: 1.5425	LR: 0.100000
Training Epoch: 4 [43520/48700]	Loss: 1.6001	LR: 0.100000
Training Epoch: 4 [43776/48700]	Loss: 1.6166	LR: 0.100000
Training Epoch: 4 [44032/48700]	Loss: 1.8417	LR: 0.100000
Training Epoch: 4 [44288/48700]	Loss: 1.5909	LR: 0.100000
Training Epoch: 4 [44544/48700]	Loss: 1.6534	LR: 0.100000
Training Epoch: 4 [44800/48700]	Loss: 1.6357	LR: 0.100000
Training Epoch: 4 [45056/48700]	Loss: 1.6928	LR: 0.100000
Training Epoch: 4 [45312/48700]	Loss: 1.5535	LR: 0.100000
Training Epoch: 4 [45568/48700]	Loss: 1.5288	LR: 0.100000
Training Epoch: 4 [45824/48700]	Loss: 1.5080	LR: 0.100000
Training Epoch: 4 [46080/48700]	Loss: 1.7235	LR: 0.100000
Training Epoch: 4 [46336/48700]	Loss: 1.5246	LR: 0.100000
Training Epoch: 4 [46592/48700]	Loss: 1.5836	LR: 0.100000
Training Epoch: 4 [46848/48700]	Loss: 1.6039	LR: 0.100000
Training Epoch: 4 [47104/48700]	Loss: 1.8350	LR: 0.100000
Training Epoch: 4 [47360/48700]	Loss: 1.7560	LR: 0.100000
Training Epoch: 4 [47616/48700]	Loss: 1.4586	LR: 0.100000
Training Epoch: 4 [47872/48700]	Loss: 1.5716	LR: 0.100000
Training Epoch: 4 [48128/48700]	Loss: 1.6925	LR: 0.100000
Training Epoch: 4 [48384/48700]	Loss: 1.6320	LR: 0.100000
Training Epoch: 4 [48640/48700]	Loss: 1.5947	LR: 0.100000
Training Epoch: 4 [48700/48700]	Loss: 1.6888	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7010, Train Accuracy: 0.4612
Epoch 4 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0073, Accuracy: 0.4402, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.5390	LR: 0.100000
Training Epoch: 5 [512/48700]	Loss: 1.7497	LR: 0.100000
Training Epoch: 5 [768/48700]	Loss: 1.8796	LR: 0.100000
Training Epoch: 5 [1024/48700]	Loss: 1.7455	LR: 0.100000
Training Epoch: 5 [1280/48700]	Loss: 1.6756	LR: 0.100000
Training Epoch: 5 [1536/48700]	Loss: 1.6651	LR: 0.100000
Training Epoch: 5 [1792/48700]	Loss: 1.6958	LR: 0.100000
Training Epoch: 5 [2048/48700]	Loss: 1.6258	LR: 0.100000
Training Epoch: 5 [2304/48700]	Loss: 1.7018	LR: 0.100000
Training Epoch: 5 [2560/48700]	Loss: 1.4707	LR: 0.100000
Training Epoch: 5 [2816/48700]	Loss: 1.5367	LR: 0.100000
Training Epoch: 5 [3072/48700]	Loss: 1.5837	LR: 0.100000
Training Epoch: 5 [3328/48700]	Loss: 1.4560	LR: 0.100000
Training Epoch: 5 [3584/48700]	Loss: 1.5843	LR: 0.100000
Training Epoch: 5 [3840/48700]	Loss: 1.5797	LR: 0.100000
Training Epoch: 5 [4096/48700]	Loss: 1.5310	LR: 0.100000
Training Epoch: 5 [4352/48700]	Loss: 1.6156	LR: 0.100000
Training Epoch: 5 [4608/48700]	Loss: 1.4190	LR: 0.100000
Training Epoch: 5 [4864/48700]	Loss: 1.4416	LR: 0.100000
Training Epoch: 5 [5120/48700]	Loss: 1.4731	LR: 0.100000
Training Epoch: 5 [5376/48700]	Loss: 1.5208	LR: 0.100000
Training Epoch: 5 [5632/48700]	Loss: 1.5423	LR: 0.100000
Training Epoch: 5 [5888/48700]	Loss: 1.5512	LR: 0.100000
Training Epoch: 5 [6144/48700]	Loss: 1.6284	LR: 0.100000
Training Epoch: 5 [6400/48700]	Loss: 1.6506	LR: 0.100000
Training Epoch: 5 [6656/48700]	Loss: 1.5415	LR: 0.100000
Training Epoch: 5 [6912/48700]	Loss: 1.5176	LR: 0.100000
Training Epoch: 5 [7168/48700]	Loss: 1.7660	LR: 0.100000
Training Epoch: 5 [7424/48700]	Loss: 1.5417	LR: 0.100000
Training Epoch: 5 [7680/48700]	Loss: 1.5856	LR: 0.100000
Training Epoch: 5 [7936/48700]	Loss: 1.7623	LR: 0.100000
Training Epoch: 5 [8192/48700]	Loss: 1.6070	LR: 0.100000
Training Epoch: 5 [8448/48700]	Loss: 1.5543	LR: 0.100000
Training Epoch: 5 [8704/48700]	Loss: 1.6264	LR: 0.100000
Training Epoch: 5 [8960/48700]	Loss: 1.6213	LR: 0.100000
Training Epoch: 5 [9216/48700]	Loss: 1.5573	LR: 0.100000
Training Epoch: 5 [9472/48700]	Loss: 1.6408	LR: 0.100000
Training Epoch: 5 [9728/48700]	Loss: 1.6556	LR: 0.100000
Training Epoch: 5 [9984/48700]	Loss: 1.5527	LR: 0.100000
Training Epoch: 5 [10240/48700]	Loss: 1.5072	LR: 0.100000
Training Epoch: 5 [10496/48700]	Loss: 1.4414	LR: 0.100000
Training Epoch: 5 [10752/48700]	Loss: 1.5792	LR: 0.100000
Training Epoch: 5 [11008/48700]	Loss: 1.5253	LR: 0.100000
Training Epoch: 5 [11264/48700]	Loss: 1.5397	LR: 0.100000
Training Epoch: 5 [11520/48700]	Loss: 1.6154	LR: 0.100000
Training Epoch: 5 [11776/48700]	Loss: 1.4777	LR: 0.100000
Training Epoch: 5 [12032/48700]	Loss: 1.6995	LR: 0.100000
Training Epoch: 5 [12288/48700]	Loss: 1.6098	LR: 0.100000
Training Epoch: 5 [12544/48700]	Loss: 1.5239	LR: 0.100000
Training Epoch: 5 [12800/48700]	Loss: 1.4616	LR: 0.100000
Training Epoch: 5 [13056/48700]	Loss: 1.5262	LR: 0.100000
Training Epoch: 5 [13312/48700]	Loss: 1.6823	LR: 0.100000
Training Epoch: 5 [13568/48700]	Loss: 1.4682	LR: 0.100000
Training Epoch: 5 [13824/48700]	Loss: 1.4517	LR: 0.100000
Training Epoch: 5 [14080/48700]	Loss: 1.6519	LR: 0.100000
Training Epoch: 5 [14336/48700]	Loss: 1.5608	LR: 0.100000
Training Epoch: 5 [14592/48700]	Loss: 1.5882	LR: 0.100000
Training Epoch: 5 [14848/48700]	Loss: 1.5547	LR: 0.100000
Training Epoch: 5 [15104/48700]	Loss: 1.5141	LR: 0.100000
Training Epoch: 5 [15360/48700]	Loss: 1.5628	LR: 0.100000
Training Epoch: 5 [15616/48700]	Loss: 1.5296	LR: 0.100000
Training Epoch: 5 [15872/48700]	Loss: 1.5933	LR: 0.100000
Training Epoch: 5 [16128/48700]	Loss: 1.4711	LR: 0.100000
Training Epoch: 5 [16384/48700]	Loss: 1.5304	LR: 0.100000
Training Epoch: 5 [16640/48700]	Loss: 1.4467	LR: 0.100000
Training Epoch: 5 [16896/48700]	Loss: 1.4618	LR: 0.100000
Training Epoch: 5 [17152/48700]	Loss: 1.6207	LR: 0.100000
Training Epoch: 5 [17408/48700]	Loss: 1.6515	LR: 0.100000
Training Epoch: 5 [17664/48700]	Loss: 1.4226	LR: 0.100000
Training Epoch: 5 [17920/48700]	Loss: 1.6427	LR: 0.100000
Training Epoch: 5 [18176/48700]	Loss: 1.5553	LR: 0.100000
Training Epoch: 5 [18432/48700]	Loss: 1.7051	LR: 0.100000
Training Epoch: 5 [18688/48700]	Loss: 1.5079	LR: 0.100000
Training Epoch: 5 [18944/48700]	Loss: 1.5310	LR: 0.100000
Training Epoch: 5 [19200/48700]	Loss: 1.6285	LR: 0.100000
Training Epoch: 5 [19456/48700]	Loss: 1.5991	LR: 0.100000
Training Epoch: 5 [19712/48700]	Loss: 1.6034	LR: 0.100000
Training Epoch: 5 [19968/48700]	Loss: 1.6090	LR: 0.100000
Training Epoch: 5 [20224/48700]	Loss: 1.4753	LR: 0.100000
Training Epoch: 5 [20480/48700]	Loss: 1.5541	LR: 0.100000
Training Epoch: 5 [20736/48700]	Loss: 1.6830	LR: 0.100000
Training Epoch: 5 [20992/48700]	Loss: 1.5289	LR: 0.100000
Training Epoch: 5 [21248/48700]	Loss: 1.5237	LR: 0.100000
Training Epoch: 5 [21504/48700]	Loss: 1.7434	LR: 0.100000
Training Epoch: 5 [21760/48700]	Loss: 1.4838	LR: 0.100000
Training Epoch: 5 [22016/48700]	Loss: 1.7277	LR: 0.100000
Training Epoch: 5 [22272/48700]	Loss: 1.4232	LR: 0.100000
Training Epoch: 5 [22528/48700]	Loss: 1.6634	LR: 0.100000
Training Epoch: 5 [22784/48700]	Loss: 1.6838	LR: 0.100000
Training Epoch: 5 [23040/48700]	Loss: 1.6543	LR: 0.100000
Training Epoch: 5 [23296/48700]	Loss: 1.4728	LR: 0.100000
Training Epoch: 5 [23552/48700]	Loss: 1.5131	LR: 0.100000
Training Epoch: 5 [23808/48700]	Loss: 1.5007	LR: 0.100000
Training Epoch: 5 [24064/48700]	Loss: 1.4673	LR: 0.100000
Training Epoch: 5 [24320/48700]	Loss: 1.5345	LR: 0.100000
Training Epoch: 5 [24576/48700]	Loss: 1.4585	LR: 0.100000
Training Epoch: 5 [24832/48700]	Loss: 1.5302	LR: 0.100000
Training Epoch: 5 [25088/48700]	Loss: 1.6159	LR: 0.100000
Training Epoch: 5 [25344/48700]	Loss: 1.5469	LR: 0.100000
Training Epoch: 5 [25600/48700]	Loss: 1.5130	LR: 0.100000
Training Epoch: 5 [25856/48700]	Loss: 1.5869	LR: 0.100000
Training Epoch: 5 [26112/48700]	Loss: 1.4516	LR: 0.100000
Training Epoch: 5 [26368/48700]	Loss: 1.5420	LR: 0.100000
Training Epoch: 5 [26624/48700]	Loss: 1.5851	LR: 0.100000
Training Epoch: 5 [26880/48700]	Loss: 1.5917	LR: 0.100000
Training Epoch: 5 [27136/48700]	Loss: 1.4517	LR: 0.100000
Training Epoch: 5 [27392/48700]	Loss: 1.4350	LR: 0.100000
Training Epoch: 5 [27648/48700]	Loss: 1.4766	LR: 0.100000
Training Epoch: 5 [27904/48700]	Loss: 1.4141	LR: 0.100000
Training Epoch: 5 [28160/48700]	Loss: 1.5720	LR: 0.100000
Training Epoch: 5 [28416/48700]	Loss: 1.6040	LR: 0.100000
Training Epoch: 5 [28672/48700]	Loss: 1.5182	LR: 0.100000
Training Epoch: 5 [28928/48700]	Loss: 1.5454	LR: 0.100000
Training Epoch: 5 [29184/48700]	Loss: 1.4697	LR: 0.100000
Training Epoch: 5 [29440/48700]	Loss: 1.4652	LR: 0.100000
Training Epoch: 5 [29696/48700]	Loss: 1.4624	LR: 0.100000
Training Epoch: 5 [29952/48700]	Loss: 1.4992	LR: 0.100000
Training Epoch: 5 [30208/48700]	Loss: 1.5990	LR: 0.100000
Training Epoch: 5 [30464/48700]	Loss: 1.4833	LR: 0.100000
Training Epoch: 5 [30720/48700]	Loss: 1.3099	LR: 0.100000
Training Epoch: 5 [30976/48700]	Loss: 1.5251	LR: 0.100000
Training Epoch: 5 [31232/48700]	Loss: 1.5965	LR: 0.100000
Training Epoch: 5 [31488/48700]	Loss: 1.4136	LR: 0.100000
Training Epoch: 5 [31744/48700]	Loss: 1.5648	LR: 0.100000
Training Epoch: 5 [32000/48700]	Loss: 1.4557	LR: 0.100000
Training Epoch: 5 [32256/48700]	Loss: 1.4544	LR: 0.100000
Training Epoch: 5 [32512/48700]	Loss: 1.5369	LR: 0.100000
Training Epoch: 5 [32768/48700]	Loss: 1.5705	LR: 0.100000
Training Epoch: 5 [33024/48700]	Loss: 1.3654	LR: 0.100000
Training Epoch: 5 [33280/48700]	Loss: 1.3278	LR: 0.100000
Training Epoch: 5 [33536/48700]	Loss: 1.5063	LR: 0.100000
Training Epoch: 5 [33792/48700]	Loss: 1.5027	LR: 0.100000
Training Epoch: 5 [34048/48700]	Loss: 1.4917	LR: 0.100000
Training Epoch: 5 [34304/48700]	Loss: 1.4096	LR: 0.100000
Training Epoch: 5 [34560/48700]	Loss: 1.3844	LR: 0.100000
Training Epoch: 5 [34816/48700]	Loss: 1.4502	LR: 0.100000
Training Epoch: 5 [35072/48700]	Loss: 1.6333	LR: 0.100000
Training Epoch: 5 [35328/48700]	Loss: 1.4791	LR: 0.100000
Training Epoch: 5 [35584/48700]	Loss: 1.6471	LR: 0.100000
Training Epoch: 5 [35840/48700]	Loss: 1.5226	LR: 0.100000
Training Epoch: 5 [36096/48700]	Loss: 1.4817	LR: 0.100000
Training Epoch: 5 [36352/48700]	Loss: 1.5486	LR: 0.100000
Training Epoch: 5 [36608/48700]	Loss: 1.3801	LR: 0.100000
Training Epoch: 5 [36864/48700]	Loss: 1.4257	LR: 0.100000
Training Epoch: 5 [37120/48700]	Loss: 1.4388	LR: 0.100000
Training Epoch: 5 [37376/48700]	Loss: 1.3951	LR: 0.100000
Training Epoch: 5 [37632/48700]	Loss: 1.3915	LR: 0.100000
Training Epoch: 5 [37888/48700]	Loss: 1.3224	LR: 0.100000
Training Epoch: 5 [38144/48700]	Loss: 1.4921	LR: 0.100000
Training Epoch: 5 [38400/48700]	Loss: 1.4254	LR: 0.100000
Training Epoch: 5 [38656/48700]	Loss: 1.4805	LR: 0.100000
Training Epoch: 5 [38912/48700]	Loss: 1.3130	LR: 0.100000
Training Epoch: 5 [39168/48700]	Loss: 1.5274	LR: 0.100000
Training Epoch: 5 [39424/48700]	Loss: 1.4149	LR: 0.100000
Training Epoch: 5 [39680/48700]	Loss: 1.4626	LR: 0.100000
Training Epoch: 5 [39936/48700]	Loss: 1.4318	LR: 0.100000
Training Epoch: 5 [40192/48700]	Loss: 1.4293	LR: 0.100000
Training Epoch: 5 [40448/48700]	Loss: 1.4982	LR: 0.100000
Training Epoch: 5 [40704/48700]	Loss: 1.3481	LR: 0.100000
Training Epoch: 5 [40960/48700]	Loss: 1.4247	LR: 0.100000
Training Epoch: 5 [41216/48700]	Loss: 1.5105	LR: 0.100000
Training Epoch: 5 [41472/48700]	Loss: 1.4232	LR: 0.100000
Training Epoch: 5 [41728/48700]	Loss: 1.4983	LR: 0.100000
Training Epoch: 5 [41984/48700]	Loss: 1.4800	LR: 0.100000
Training Epoch: 5 [42240/48700]	Loss: 1.5445	LR: 0.100000
Training Epoch: 5 [42496/48700]	Loss: 1.4882	LR: 0.100000
Training Epoch: 5 [42752/48700]	Loss: 1.4850	LR: 0.100000
Training Epoch: 5 [43008/48700]	Loss: 1.3405	LR: 0.100000
Training Epoch: 5 [43264/48700]	Loss: 1.5135	LR: 0.100000
Training Epoch: 5 [43520/48700]	Loss: 1.4875	LR: 0.100000
Training Epoch: 5 [43776/48700]	Loss: 1.4765	LR: 0.100000
Training Epoch: 5 [44032/48700]	Loss: 1.5121	LR: 0.100000
Training Epoch: 5 [44288/48700]	Loss: 1.4922	LR: 0.100000
Training Epoch: 5 [44544/48700]	Loss: 1.5934	LR: 0.100000
Training Epoch: 5 [44800/48700]	Loss: 1.4356	LR: 0.100000
Training Epoch: 5 [45056/48700]	Loss: 1.5493	LR: 0.100000
Training Epoch: 5 [45312/48700]	Loss: 1.4601	LR: 0.100000
Training Epoch: 5 [45568/48700]	Loss: 1.4566	LR: 0.100000
Training Epoch: 5 [45824/48700]	Loss: 1.4718	LR: 0.100000
Training Epoch: 5 [46080/48700]	Loss: 1.4680	LR: 0.100000
Training Epoch: 5 [46336/48700]	Loss: 1.4461	LR: 0.100000
Training Epoch: 5 [46592/48700]	Loss: 1.4636	LR: 0.100000
Training Epoch: 5 [46848/48700]	Loss: 1.5427	LR: 0.100000
Training Epoch: 5 [47104/48700]	Loss: 1.4795	LR: 0.100000
Training Epoch: 5 [47360/48700]	Loss: 1.4575	LR: 0.100000
Training Epoch: 5 [47616/48700]	Loss: 1.5049	LR: 0.100000
Training Epoch: 5 [47872/48700]	Loss: 1.5679	LR: 0.100000
Training Epoch: 5 [48128/48700]	Loss: 1.4597	LR: 0.100000
Training Epoch: 5 [48384/48700]	Loss: 1.4194	LR: 0.100000
Training Epoch: 5 [48640/48700]	Loss: 1.4007	LR: 0.100000
Training Epoch: 5 [48700/48700]	Loss: 1.7099	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5281, Train Accuracy: 0.5129
Epoch 5 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0060, Accuracy: 0.5275, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-5-best.pth
Training Epoch: 6 [256/48700]	Loss: 1.3909	LR: 0.100000
Training Epoch: 6 [512/48700]	Loss: 1.4502	LR: 0.100000
Training Epoch: 6 [768/48700]	Loss: 1.4308	LR: 0.100000
Training Epoch: 6 [1024/48700]	Loss: 1.4642	LR: 0.100000
Training Epoch: 6 [1280/48700]	Loss: 1.4144	LR: 0.100000
Training Epoch: 6 [1536/48700]	Loss: 1.3245	LR: 0.100000
Training Epoch: 6 [1792/48700]	Loss: 1.4083	LR: 0.100000
Training Epoch: 6 [2048/48700]	Loss: 1.4587	LR: 0.100000
Training Epoch: 6 [2304/48700]	Loss: 1.3957	LR: 0.100000
Training Epoch: 6 [2560/48700]	Loss: 1.4456	LR: 0.100000
Training Epoch: 6 [2816/48700]	Loss: 1.4224	LR: 0.100000
Training Epoch: 6 [3072/48700]	Loss: 1.4334	LR: 0.100000
Training Epoch: 6 [3328/48700]	Loss: 1.3760	LR: 0.100000
Training Epoch: 6 [3584/48700]	Loss: 1.4766	LR: 0.100000
Training Epoch: 6 [3840/48700]	Loss: 1.4428	LR: 0.100000
Training Epoch: 6 [4096/48700]	Loss: 1.6570	LR: 0.100000
Training Epoch: 6 [4352/48700]	Loss: 1.4746	LR: 0.100000
Training Epoch: 6 [4608/48700]	Loss: 1.4846	LR: 0.100000
Training Epoch: 6 [4864/48700]	Loss: 1.3555	LR: 0.100000
Training Epoch: 6 [5120/48700]	Loss: 1.3189	LR: 0.100000
Training Epoch: 6 [5376/48700]	Loss: 1.6095	LR: 0.100000
Training Epoch: 6 [5632/48700]	Loss: 1.4657	LR: 0.100000
Training Epoch: 6 [5888/48700]	Loss: 1.4280	LR: 0.100000
Training Epoch: 6 [6144/48700]	Loss: 1.6493	LR: 0.100000
Training Epoch: 6 [6400/48700]	Loss: 1.4389	LR: 0.100000
Training Epoch: 6 [6656/48700]	Loss: 1.5389	LR: 0.100000
Training Epoch: 6 [6912/48700]	Loss: 1.4741	LR: 0.100000
Training Epoch: 6 [7168/48700]	Loss: 1.4116	LR: 0.100000
Training Epoch: 6 [7424/48700]	Loss: 1.4428	LR: 0.100000
Training Epoch: 6 [7680/48700]	Loss: 1.3837	LR: 0.100000
Training Epoch: 6 [7936/48700]	Loss: 1.2986	LR: 0.100000
Training Epoch: 6 [8192/48700]	Loss: 1.3743	LR: 0.100000
Training Epoch: 6 [8448/48700]	Loss: 1.4118	LR: 0.100000
Training Epoch: 6 [8704/48700]	Loss: 1.2633	LR: 0.100000
Training Epoch: 6 [8960/48700]	Loss: 1.3603	LR: 0.100000
Training Epoch: 6 [9216/48700]	Loss: 1.3673	LR: 0.100000
Training Epoch: 6 [9472/48700]	Loss: 1.3824	LR: 0.100000
Training Epoch: 6 [9728/48700]	Loss: 1.3786	LR: 0.100000
Training Epoch: 6 [9984/48700]	Loss: 1.5444	LR: 0.100000
Training Epoch: 6 [10240/48700]	Loss: 1.3177	LR: 0.100000
Training Epoch: 6 [10496/48700]	Loss: 1.3557	LR: 0.100000
Training Epoch: 6 [10752/48700]	Loss: 1.3680	LR: 0.100000
Training Epoch: 6 [11008/48700]	Loss: 1.4628	LR: 0.100000
Training Epoch: 6 [11264/48700]	Loss: 1.3364	LR: 0.100000
Training Epoch: 6 [11520/48700]	Loss: 1.4229	LR: 0.100000
Training Epoch: 6 [11776/48700]	Loss: 1.2749	LR: 0.100000
Training Epoch: 6 [12032/48700]	Loss: 1.5066	LR: 0.100000
Training Epoch: 6 [12288/48700]	Loss: 1.4439	LR: 0.100000
Training Epoch: 6 [12544/48700]	Loss: 1.4035	LR: 0.100000
Training Epoch: 6 [12800/48700]	Loss: 1.4644	LR: 0.100000
Training Epoch: 6 [13056/48700]	Loss: 1.4952	LR: 0.100000
Training Epoch: 6 [13312/48700]	Loss: 1.4292	LR: 0.100000
Training Epoch: 6 [13568/48700]	Loss: 1.3435	LR: 0.100000
Training Epoch: 6 [13824/48700]	Loss: 1.3586	LR: 0.100000
Training Epoch: 6 [14080/48700]	Loss: 1.3976	LR: 0.100000
Training Epoch: 6 [14336/48700]	Loss: 1.2102	LR: 0.100000
Training Epoch: 6 [14592/48700]	Loss: 1.3170	LR: 0.100000
Training Epoch: 6 [14848/48700]	Loss: 1.3374	LR: 0.100000
Training Epoch: 6 [15104/48700]	Loss: 1.3316	LR: 0.100000
Training Epoch: 6 [15360/48700]	Loss: 1.3897	LR: 0.100000
Training Epoch: 6 [15616/48700]	Loss: 1.3310	LR: 0.100000
Training Epoch: 6 [15872/48700]	Loss: 1.4634	LR: 0.100000
Training Epoch: 6 [16128/48700]	Loss: 1.3211	LR: 0.100000
Training Epoch: 6 [16384/48700]	Loss: 1.4420	LR: 0.100000
Training Epoch: 6 [16640/48700]	Loss: 1.5500	LR: 0.100000
Training Epoch: 6 [16896/48700]	Loss: 1.5750	LR: 0.100000
Training Epoch: 6 [17152/48700]	Loss: 1.4514	LR: 0.100000
Training Epoch: 6 [17408/48700]	Loss: 1.4677	LR: 0.100000
Training Epoch: 6 [17664/48700]	Loss: 1.3968	LR: 0.100000
Training Epoch: 6 [17920/48700]	Loss: 1.4136	LR: 0.100000
Training Epoch: 6 [18176/48700]	Loss: 1.3359	LR: 0.100000
Training Epoch: 6 [18432/48700]	Loss: 1.4107	LR: 0.100000
Training Epoch: 6 [18688/48700]	Loss: 1.3230	LR: 0.100000
Training Epoch: 6 [18944/48700]	Loss: 1.3616	LR: 0.100000
Training Epoch: 6 [19200/48700]	Loss: 1.5931	LR: 0.100000
Training Epoch: 6 [19456/48700]	Loss: 1.3544	LR: 0.100000
Training Epoch: 6 [19712/48700]	Loss: 1.5060	LR: 0.100000
Training Epoch: 6 [19968/48700]	Loss: 1.3226	LR: 0.100000
Training Epoch: 6 [20224/48700]	Loss: 1.5738	LR: 0.100000
Training Epoch: 6 [20480/48700]	Loss: 1.4887	LR: 0.100000
Training Epoch: 6 [20736/48700]	Loss: 1.4402	LR: 0.100000
Training Epoch: 6 [20992/48700]	Loss: 1.3743	LR: 0.100000
Training Epoch: 6 [21248/48700]	Loss: 1.5268	LR: 0.100000
Training Epoch: 6 [21504/48700]	Loss: 1.3644	LR: 0.100000
Training Epoch: 6 [21760/48700]	Loss: 1.4973	LR: 0.100000
Training Epoch: 6 [22016/48700]	Loss: 1.3127	LR: 0.100000
Training Epoch: 6 [22272/48700]	Loss: 1.3705	LR: 0.100000
Training Epoch: 6 [22528/48700]	Loss: 1.5439	LR: 0.100000
Training Epoch: 6 [22784/48700]	Loss: 1.4028	LR: 0.100000
Training Epoch: 6 [23040/48700]	Loss: 1.4211	LR: 0.100000
Training Epoch: 6 [23296/48700]	Loss: 1.3620	LR: 0.100000
Training Epoch: 6 [23552/48700]	Loss: 1.4245	LR: 0.100000
Training Epoch: 6 [23808/48700]	Loss: 1.3570	LR: 0.100000
Training Epoch: 6 [24064/48700]	Loss: 1.2963	LR: 0.100000
Training Epoch: 6 [24320/48700]	Loss: 1.4455	LR: 0.100000
Training Epoch: 6 [24576/48700]	Loss: 1.4840	LR: 0.100000
Training Epoch: 6 [24832/48700]	Loss: 1.3680	LR: 0.100000
Training Epoch: 6 [25088/48700]	Loss: 1.3278	LR: 0.100000
Training Epoch: 6 [25344/48700]	Loss: 1.3268	LR: 0.100000
Training Epoch: 6 [25600/48700]	Loss: 1.1998	LR: 0.100000
Training Epoch: 6 [25856/48700]	Loss: 1.3492	LR: 0.100000
Training Epoch: 6 [26112/48700]	Loss: 1.2718	LR: 0.100000
Training Epoch: 6 [26368/48700]	Loss: 1.3126	LR: 0.100000
Training Epoch: 6 [26624/48700]	Loss: 1.3320	LR: 0.100000
Training Epoch: 6 [26880/48700]	Loss: 1.5097	LR: 0.100000
Training Epoch: 6 [27136/48700]	Loss: 1.4285	LR: 0.100000
Training Epoch: 6 [27392/48700]	Loss: 1.2216	LR: 0.100000
Training Epoch: 6 [27648/48700]	Loss: 1.4260	LR: 0.100000
Training Epoch: 6 [27904/48700]	Loss: 1.3975	LR: 0.100000
Training Epoch: 6 [28160/48700]	Loss: 1.3851	LR: 0.100000
Training Epoch: 6 [28416/48700]	Loss: 1.4574	LR: 0.100000
Training Epoch: 6 [28672/48700]	Loss: 1.4824	LR: 0.100000
Training Epoch: 6 [28928/48700]	Loss: 1.2650	LR: 0.100000
Training Epoch: 6 [29184/48700]	Loss: 1.3816	LR: 0.100000
Training Epoch: 6 [29440/48700]	Loss: 1.3011	LR: 0.100000
Training Epoch: 6 [29696/48700]	Loss: 1.4536	LR: 0.100000
Training Epoch: 6 [29952/48700]	Loss: 1.5119	LR: 0.100000
Training Epoch: 6 [30208/48700]	Loss: 1.3509	LR: 0.100000
Training Epoch: 6 [30464/48700]	Loss: 1.4320	LR: 0.100000
Training Epoch: 6 [30720/48700]	Loss: 1.4662	LR: 0.100000
Training Epoch: 6 [30976/48700]	Loss: 1.2669	LR: 0.100000
Training Epoch: 6 [31232/48700]	Loss: 1.3640	LR: 0.100000
Training Epoch: 6 [31488/48700]	Loss: 1.3224	LR: 0.100000
Training Epoch: 6 [31744/48700]	Loss: 1.2887	LR: 0.100000
Training Epoch: 6 [32000/48700]	Loss: 1.3974	LR: 0.100000
Training Epoch: 6 [32256/48700]	Loss: 1.4031	LR: 0.100000
Training Epoch: 6 [32512/48700]	Loss: 1.3556	LR: 0.100000
Training Epoch: 6 [32768/48700]	Loss: 1.1415	LR: 0.100000
Training Epoch: 6 [33024/48700]	Loss: 1.4041	LR: 0.100000
Training Epoch: 6 [33280/48700]	Loss: 1.3915	LR: 0.100000
Training Epoch: 6 [33536/48700]	Loss: 1.5139	LR: 0.100000
Training Epoch: 6 [33792/48700]	Loss: 1.3956	LR: 0.100000
Training Epoch: 6 [34048/48700]	Loss: 1.3300	LR: 0.100000
Training Epoch: 6 [34304/48700]	Loss: 1.3939	LR: 0.100000
Training Epoch: 6 [34560/48700]	Loss: 1.3608	LR: 0.100000
Training Epoch: 6 [34816/48700]	Loss: 1.4109	LR: 0.100000
Training Epoch: 6 [35072/48700]	Loss: 1.2849	LR: 0.100000
Training Epoch: 6 [35328/48700]	Loss: 1.4695	LR: 0.100000
Training Epoch: 6 [35584/48700]	Loss: 1.4197	LR: 0.100000
Training Epoch: 6 [35840/48700]	Loss: 1.3494	LR: 0.100000
Training Epoch: 6 [36096/48700]	Loss: 1.4862	LR: 0.100000
Training Epoch: 6 [36352/48700]	Loss: 1.5209	LR: 0.100000
Training Epoch: 6 [36608/48700]	Loss: 1.2545	LR: 0.100000
Training Epoch: 6 [36864/48700]	Loss: 1.3383	LR: 0.100000
Training Epoch: 6 [37120/48700]	Loss: 1.3121	LR: 0.100000
Training Epoch: 6 [37376/48700]	Loss: 1.2858	LR: 0.100000
Training Epoch: 6 [37632/48700]	Loss: 1.1504	LR: 0.100000
Training Epoch: 6 [37888/48700]	Loss: 1.3862	LR: 0.100000
Training Epoch: 6 [38144/48700]	Loss: 1.2478	LR: 0.100000
Training Epoch: 6 [38400/48700]	Loss: 1.3086	LR: 0.100000
Training Epoch: 6 [38656/48700]	Loss: 1.3127	LR: 0.100000
Training Epoch: 6 [38912/48700]	Loss: 1.3474	LR: 0.100000
Training Epoch: 6 [39168/48700]	Loss: 1.3167	LR: 0.100000
Training Epoch: 6 [39424/48700]	Loss: 1.4143	LR: 0.100000
Training Epoch: 6 [39680/48700]	Loss: 1.2642	LR: 0.100000
Training Epoch: 6 [39936/48700]	Loss: 1.4174	LR: 0.100000
Training Epoch: 6 [40192/48700]	Loss: 1.4162	LR: 0.100000
Training Epoch: 6 [40448/48700]	Loss: 1.4912	LR: 0.100000
Training Epoch: 6 [40704/48700]	Loss: 1.4519	LR: 0.100000
Training Epoch: 6 [40960/48700]	Loss: 1.3263	LR: 0.100000
Training Epoch: 6 [41216/48700]	Loss: 1.4860	LR: 0.100000
Training Epoch: 6 [41472/48700]	Loss: 1.4641	LR: 0.100000
Training Epoch: 6 [41728/48700]	Loss: 1.6022	LR: 0.100000
Training Epoch: 6 [41984/48700]	Loss: 1.4238	LR: 0.100000
Training Epoch: 6 [42240/48700]	Loss: 1.3434	LR: 0.100000
Training Epoch: 6 [42496/48700]	Loss: 1.3522	LR: 0.100000
Training Epoch: 6 [42752/48700]	Loss: 1.4086	LR: 0.100000
Training Epoch: 6 [43008/48700]	Loss: 1.4186	LR: 0.100000
Training Epoch: 6 [43264/48700]	Loss: 1.4232	LR: 0.100000
Training Epoch: 6 [43520/48700]	Loss: 1.2696	LR: 0.100000
Training Epoch: 6 [43776/48700]	Loss: 1.5795	LR: 0.100000
Training Epoch: 6 [44032/48700]	Loss: 1.4352	LR: 0.100000
Training Epoch: 6 [44288/48700]	Loss: 1.3741	LR: 0.100000
Training Epoch: 6 [44544/48700]	Loss: 1.2216	LR: 0.100000
Training Epoch: 6 [44800/48700]	Loss: 1.3479	LR: 0.100000
Training Epoch: 6 [45056/48700]	Loss: 1.2556	LR: 0.100000
Training Epoch: 6 [45312/48700]	Loss: 1.5160	LR: 0.100000
Training Epoch: 6 [45568/48700]	Loss: 1.2626	LR: 0.100000
Training Epoch: 6 [45824/48700]	Loss: 1.2952	LR: 0.100000
Training Epoch: 6 [46080/48700]	Loss: 1.4185	LR: 0.100000
Training Epoch: 6 [46336/48700]	Loss: 1.4191	LR: 0.100000
Training Epoch: 6 [46592/48700]	Loss: 1.2421	LR: 0.100000
Training Epoch: 6 [46848/48700]	Loss: 1.2158	LR: 0.100000
Training Epoch: 6 [47104/48700]	Loss: 1.4126	LR: 0.100000
Training Epoch: 6 [47360/48700]	Loss: 1.2456	LR: 0.100000
Training Epoch: 6 [47616/48700]	Loss: 1.4818	LR: 0.100000
Training Epoch: 6 [47872/48700]	Loss: 1.3347	LR: 0.100000
Training Epoch: 6 [48128/48700]	Loss: 1.2163	LR: 0.100000
Training Epoch: 6 [48384/48700]	Loss: 1.4033	LR: 0.100000
Training Epoch: 6 [48640/48700]	Loss: 1.4588	LR: 0.100000
Training Epoch: 6 [48700/48700]	Loss: 1.1229	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3929, Train Accuracy: 0.5518
Epoch 6 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0060, Accuracy: 0.5379, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.2870	LR: 0.100000
Training Epoch: 7 [512/48700]	Loss: 1.2558	LR: 0.100000
Training Epoch: 7 [768/48700]	Loss: 1.3225	LR: 0.100000
Training Epoch: 7 [1024/48700]	Loss: 1.2419	LR: 0.100000
Training Epoch: 7 [1280/48700]	Loss: 1.2648	LR: 0.100000
Training Epoch: 7 [1536/48700]	Loss: 1.3116	LR: 0.100000
Training Epoch: 7 [1792/48700]	Loss: 1.3668	LR: 0.100000
Training Epoch: 7 [2048/48700]	Loss: 1.3401	LR: 0.100000
Training Epoch: 7 [2304/48700]	Loss: 1.2686	LR: 0.100000
Training Epoch: 7 [2560/48700]	Loss: 1.4443	LR: 0.100000
Training Epoch: 7 [2816/48700]	Loss: 1.2835	LR: 0.100000
Training Epoch: 7 [3072/48700]	Loss: 1.2735	LR: 0.100000
Training Epoch: 7 [3328/48700]	Loss: 1.4853	LR: 0.100000
Training Epoch: 7 [3584/48700]	Loss: 1.3731	LR: 0.100000
Training Epoch: 7 [3840/48700]	Loss: 1.2388	LR: 0.100000
Training Epoch: 7 [4096/48700]	Loss: 1.2444	LR: 0.100000
Training Epoch: 7 [4352/48700]	Loss: 1.2494	LR: 0.100000
Training Epoch: 7 [4608/48700]	Loss: 1.3378	LR: 0.100000
Training Epoch: 7 [4864/48700]	Loss: 1.2751	LR: 0.100000
Training Epoch: 7 [5120/48700]	Loss: 1.2827	LR: 0.100000
Training Epoch: 7 [5376/48700]	Loss: 1.1757	LR: 0.100000
Training Epoch: 7 [5632/48700]	Loss: 1.2502	LR: 0.100000
Training Epoch: 7 [5888/48700]	Loss: 1.2623	LR: 0.100000
Training Epoch: 7 [6144/48700]	Loss: 1.1629	LR: 0.100000
Training Epoch: 7 [6400/48700]	Loss: 1.2544	LR: 0.100000
Training Epoch: 7 [6656/48700]	Loss: 1.2669	LR: 0.100000
Training Epoch: 7 [6912/48700]	Loss: 1.0985	LR: 0.100000
Training Epoch: 7 [7168/48700]	Loss: 1.2074	LR: 0.100000
Training Epoch: 7 [7424/48700]	Loss: 1.3952	LR: 0.100000
Training Epoch: 7 [7680/48700]	Loss: 1.2027	LR: 0.100000
Training Epoch: 7 [7936/48700]	Loss: 1.2747	LR: 0.100000
Training Epoch: 7 [8192/48700]	Loss: 1.2185	LR: 0.100000
Training Epoch: 7 [8448/48700]	Loss: 1.3839	LR: 0.100000
Training Epoch: 7 [8704/48700]	Loss: 1.3359	LR: 0.100000
Training Epoch: 7 [8960/48700]	Loss: 1.2714	LR: 0.100000
Training Epoch: 7 [9216/48700]	Loss: 1.3727	LR: 0.100000
Training Epoch: 7 [9472/48700]	Loss: 1.3290	LR: 0.100000
Training Epoch: 7 [9728/48700]	Loss: 1.3360	LR: 0.100000
Training Epoch: 7 [9984/48700]	Loss: 1.2335	LR: 0.100000
Training Epoch: 7 [10240/48700]	Loss: 1.3249	LR: 0.100000
Training Epoch: 7 [10496/48700]	Loss: 1.1787	LR: 0.100000
Training Epoch: 7 [10752/48700]	Loss: 1.2967	LR: 0.100000
Training Epoch: 7 [11008/48700]	Loss: 1.5431	LR: 0.100000
Training Epoch: 7 [11264/48700]	Loss: 1.3864	LR: 0.100000
Training Epoch: 7 [11520/48700]	Loss: 1.4368	LR: 0.100000
Training Epoch: 7 [11776/48700]	Loss: 1.2489	LR: 0.100000
Training Epoch: 7 [12032/48700]	Loss: 1.2312	LR: 0.100000
Training Epoch: 7 [12288/48700]	Loss: 1.2637	LR: 0.100000
Training Epoch: 7 [12544/48700]	Loss: 1.3761	LR: 0.100000
Training Epoch: 7 [12800/48700]	Loss: 1.3357	LR: 0.100000
Training Epoch: 7 [13056/48700]	Loss: 1.3763	LR: 0.100000
Training Epoch: 7 [13312/48700]	Loss: 1.4222	LR: 0.100000
Training Epoch: 7 [13568/48700]	Loss: 1.3499	LR: 0.100000
Training Epoch: 7 [13824/48700]	Loss: 1.3477	LR: 0.100000
Training Epoch: 7 [14080/48700]	Loss: 1.2683	LR: 0.100000
Training Epoch: 7 [14336/48700]	Loss: 1.4961	LR: 0.100000
Training Epoch: 7 [14592/48700]	Loss: 1.3868	LR: 0.100000
Training Epoch: 7 [14848/48700]	Loss: 1.4732	LR: 0.100000
Training Epoch: 7 [15104/48700]	Loss: 1.1934	LR: 0.100000
Training Epoch: 7 [15360/48700]	Loss: 1.3661	LR: 0.100000
Training Epoch: 7 [15616/48700]	Loss: 1.2852	LR: 0.100000
Training Epoch: 7 [15872/48700]	Loss: 1.3783	LR: 0.100000
Training Epoch: 7 [16128/48700]	Loss: 1.4193	LR: 0.100000
Training Epoch: 7 [16384/48700]	Loss: 1.2397	LR: 0.100000
Training Epoch: 7 [16640/48700]	Loss: 1.2810	LR: 0.100000
Training Epoch: 7 [16896/48700]	Loss: 1.1903	LR: 0.100000
Training Epoch: 7 [17152/48700]	Loss: 1.2231	LR: 0.100000
Training Epoch: 7 [17408/48700]	Loss: 1.3701	LR: 0.100000
Training Epoch: 7 [17664/48700]	Loss: 1.2685	LR: 0.100000
Training Epoch: 7 [17920/48700]	Loss: 1.1113	LR: 0.100000
Training Epoch: 7 [18176/48700]	Loss: 1.3013	LR: 0.100000
Training Epoch: 7 [18432/48700]	Loss: 1.1714	LR: 0.100000
Training Epoch: 7 [18688/48700]	Loss: 1.1728	LR: 0.100000
Training Epoch: 7 [18944/48700]	Loss: 1.1792	LR: 0.100000
Training Epoch: 7 [19200/48700]	Loss: 1.1323	LR: 0.100000
Training Epoch: 7 [19456/48700]	Loss: 1.2242	LR: 0.100000
Training Epoch: 7 [19712/48700]	Loss: 1.2314	LR: 0.100000
Training Epoch: 7 [19968/48700]	Loss: 1.1875	LR: 0.100000
Training Epoch: 7 [20224/48700]	Loss: 1.3398	LR: 0.100000
Training Epoch: 7 [20480/48700]	Loss: 1.2541	LR: 0.100000
Training Epoch: 7 [20736/48700]	Loss: 1.4562	LR: 0.100000
Training Epoch: 7 [20992/48700]	Loss: 1.3570	LR: 0.100000
Training Epoch: 7 [21248/48700]	Loss: 1.0642	LR: 0.100000
Training Epoch: 7 [21504/48700]	Loss: 1.2025	LR: 0.100000
Training Epoch: 7 [21760/48700]	Loss: 1.2070	LR: 0.100000
Training Epoch: 7 [22016/48700]	Loss: 1.3406	LR: 0.100000
Training Epoch: 7 [22272/48700]	Loss: 1.2295	LR: 0.100000
Training Epoch: 7 [22528/48700]	Loss: 1.2265	LR: 0.100000
Training Epoch: 7 [22784/48700]	Loss: 1.2125	LR: 0.100000
Training Epoch: 7 [23040/48700]	Loss: 1.2485	LR: 0.100000
Training Epoch: 7 [23296/48700]	Loss: 1.1767	LR: 0.100000
Training Epoch: 7 [23552/48700]	Loss: 1.1585	LR: 0.100000
Training Epoch: 7 [23808/48700]	Loss: 1.2577	LR: 0.100000
Training Epoch: 7 [24064/48700]	Loss: 1.1908	LR: 0.100000
Training Epoch: 7 [24320/48700]	Loss: 1.2841	LR: 0.100000
Training Epoch: 7 [24576/48700]	Loss: 1.2941	LR: 0.100000
Training Epoch: 7 [24832/48700]	Loss: 1.4640	LR: 0.100000
Training Epoch: 7 [25088/48700]	Loss: 1.1572	LR: 0.100000
Training Epoch: 7 [25344/48700]	Loss: 1.3790	LR: 0.100000
Training Epoch: 7 [25600/48700]	Loss: 1.1905	LR: 0.100000
Training Epoch: 7 [25856/48700]	Loss: 1.2702	LR: 0.100000
Training Epoch: 7 [26112/48700]	Loss: 1.3082	LR: 0.100000
Training Epoch: 7 [26368/48700]	Loss: 1.3061	LR: 0.100000
Training Epoch: 7 [26624/48700]	Loss: 1.1437	LR: 0.100000
Training Epoch: 7 [26880/48700]	Loss: 1.3224	LR: 0.100000
Training Epoch: 7 [27136/48700]	Loss: 1.2102	LR: 0.100000
Training Epoch: 7 [27392/48700]	Loss: 1.1976	LR: 0.100000
Training Epoch: 7 [27648/48700]	Loss: 1.2005	LR: 0.100000
Training Epoch: 7 [27904/48700]	Loss: 1.2636	LR: 0.100000
Training Epoch: 7 [28160/48700]	Loss: 1.2185	LR: 0.100000
Training Epoch: 7 [28416/48700]	Loss: 1.3828	LR: 0.100000
Training Epoch: 7 [28672/48700]	Loss: 1.3320	LR: 0.100000
Training Epoch: 7 [28928/48700]	Loss: 1.1407	LR: 0.100000
Training Epoch: 7 [29184/48700]	Loss: 1.3157	LR: 0.100000
Training Epoch: 7 [29440/48700]	Loss: 1.2430	LR: 0.100000
Training Epoch: 7 [29696/48700]	Loss: 1.2096	LR: 0.100000
Training Epoch: 7 [29952/48700]	Loss: 1.2731	LR: 0.100000
Training Epoch: 7 [30208/48700]	Loss: 1.3842	LR: 0.100000
Training Epoch: 7 [30464/48700]	Loss: 1.1415	LR: 0.100000
Training Epoch: 7 [30720/48700]	Loss: 1.1659	LR: 0.100000
Training Epoch: 7 [30976/48700]	Loss: 1.2760	LR: 0.100000
Training Epoch: 7 [31232/48700]	Loss: 1.2054	LR: 0.100000
Training Epoch: 7 [31488/48700]	Loss: 1.2650	LR: 0.100000
Training Epoch: 7 [31744/48700]	Loss: 1.2818	LR: 0.100000
Training Epoch: 7 [32000/48700]	Loss: 1.1665	LR: 0.100000
Training Epoch: 7 [32256/48700]	Loss: 1.2603	LR: 0.100000
Training Epoch: 7 [32512/48700]	Loss: 1.3892	LR: 0.100000
Training Epoch: 7 [32768/48700]	Loss: 1.2944	LR: 0.100000
Training Epoch: 7 [33024/48700]	Loss: 1.3232	LR: 0.100000
Training Epoch: 7 [33280/48700]	Loss: 1.2062	LR: 0.100000
Training Epoch: 7 [33536/48700]	Loss: 1.4037	LR: 0.100000
Training Epoch: 7 [33792/48700]	Loss: 1.2462	LR: 0.100000
Training Epoch: 7 [34048/48700]	Loss: 1.3364	LR: 0.100000
Training Epoch: 7 [34304/48700]	Loss: 1.1374	LR: 0.100000
Training Epoch: 7 [34560/48700]	Loss: 1.3983	LR: 0.100000
Training Epoch: 7 [34816/48700]	Loss: 1.4096	LR: 0.100000
Training Epoch: 7 [35072/48700]	Loss: 1.1562	LR: 0.100000
Training Epoch: 7 [35328/48700]	Loss: 1.3793	LR: 0.100000
Training Epoch: 7 [35584/48700]	Loss: 1.3223	LR: 0.100000
Training Epoch: 7 [35840/48700]	Loss: 1.2947	LR: 0.100000
Training Epoch: 7 [36096/48700]	Loss: 1.1417	LR: 0.100000
Training Epoch: 7 [36352/48700]	Loss: 1.1355	LR: 0.100000
Training Epoch: 7 [36608/48700]	Loss: 1.3854	LR: 0.100000
Training Epoch: 7 [36864/48700]	Loss: 1.1663	LR: 0.100000
Training Epoch: 7 [37120/48700]	Loss: 1.2138	LR: 0.100000
Training Epoch: 7 [37376/48700]	Loss: 1.2684	LR: 0.100000
Training Epoch: 7 [37632/48700]	Loss: 1.1309	LR: 0.100000
Training Epoch: 7 [37888/48700]	Loss: 1.1337	LR: 0.100000
Training Epoch: 7 [38144/48700]	Loss: 1.2368	LR: 0.100000
Training Epoch: 7 [38400/48700]	Loss: 1.1785	LR: 0.100000
Training Epoch: 7 [38656/48700]	Loss: 1.1866	LR: 0.100000
Training Epoch: 7 [38912/48700]	Loss: 1.2448	LR: 0.100000
Training Epoch: 7 [39168/48700]	Loss: 1.1843	LR: 0.100000
Training Epoch: 7 [39424/48700]	Loss: 1.2673	LR: 0.100000
Training Epoch: 7 [39680/48700]	Loss: 1.0853	LR: 0.100000
Training Epoch: 7 [39936/48700]	Loss: 1.2293	LR: 0.100000
Training Epoch: 7 [40192/48700]	Loss: 1.3577	LR: 0.100000
Training Epoch: 7 [40448/48700]	Loss: 1.2578	LR: 0.100000
Training Epoch: 7 [40704/48700]	Loss: 1.3071	LR: 0.100000
Training Epoch: 7 [40960/48700]	Loss: 1.3350	LR: 0.100000
Training Epoch: 7 [41216/48700]	Loss: 1.4392	LR: 0.100000
Training Epoch: 7 [41472/48700]	Loss: 1.2247	LR: 0.100000
Training Epoch: 7 [41728/48700]	Loss: 1.2709	LR: 0.100000
Training Epoch: 7 [41984/48700]	Loss: 1.2556	LR: 0.100000
Training Epoch: 7 [42240/48700]	Loss: 1.3500	LR: 0.100000
Training Epoch: 7 [42496/48700]	Loss: 1.1771	LR: 0.100000
Training Epoch: 7 [42752/48700]	Loss: 1.3331	LR: 0.100000
Training Epoch: 7 [43008/48700]	Loss: 1.2270	LR: 0.100000
Training Epoch: 7 [43264/48700]	Loss: 1.3326	LR: 0.100000
Training Epoch: 7 [43520/48700]	Loss: 1.3584	LR: 0.100000
Training Epoch: 7 [43776/48700]	Loss: 1.3022	LR: 0.100000
Training Epoch: 7 [44032/48700]	Loss: 1.3275	LR: 0.100000
Training Epoch: 7 [44288/48700]	Loss: 1.3452	LR: 0.100000
Training Epoch: 7 [44544/48700]	Loss: 1.3201	LR: 0.100000
Training Epoch: 7 [44800/48700]	Loss: 1.1791	LR: 0.100000
Training Epoch: 7 [45056/48700]	Loss: 1.1394	LR: 0.100000
Training Epoch: 7 [45312/48700]	Loss: 1.2605	LR: 0.100000
Training Epoch: 7 [45568/48700]	Loss: 1.1621	LR: 0.100000
Training Epoch: 7 [45824/48700]	Loss: 1.4431	LR: 0.100000
Training Epoch: 7 [46080/48700]	Loss: 1.3765	LR: 0.100000
Training Epoch: 7 [46336/48700]	Loss: 1.3213	LR: 0.100000
Training Epoch: 7 [46592/48700]	Loss: 1.2136	LR: 0.100000
Training Epoch: 7 [46848/48700]	Loss: 1.3176	LR: 0.100000
Training Epoch: 7 [47104/48700]	Loss: 1.2387	LR: 0.100000
Training Epoch: 7 [47360/48700]	Loss: 1.3049	LR: 0.100000
Training Epoch: 7 [47616/48700]	Loss: 1.1418	LR: 0.100000
Training Epoch: 7 [47872/48700]	Loss: 1.2907	LR: 0.100000
Training Epoch: 7 [48128/48700]	Loss: 1.1532	LR: 0.100000
Training Epoch: 7 [48384/48700]	Loss: 1.2295	LR: 0.100000
Training Epoch: 7 [48640/48700]	Loss: 1.2150	LR: 0.100000
Training Epoch: 7 [48700/48700]	Loss: 1.4550	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2740, Train Accuracy: 0.5909
Epoch 7 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0053, Accuracy: 0.5712, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.1378	LR: 0.100000
Training Epoch: 8 [512/48700]	Loss: 1.3337	LR: 0.100000
Training Epoch: 8 [768/48700]	Loss: 1.2058	LR: 0.100000
Training Epoch: 8 [1024/48700]	Loss: 1.3184	LR: 0.100000
Training Epoch: 8 [1280/48700]	Loss: 1.3463	LR: 0.100000
Training Epoch: 8 [1536/48700]	Loss: 1.1835	LR: 0.100000
Training Epoch: 8 [1792/48700]	Loss: 1.0531	LR: 0.100000
Training Epoch: 8 [2048/48700]	Loss: 1.2282	LR: 0.100000
Training Epoch: 8 [2304/48700]	Loss: 1.3747	LR: 0.100000
Training Epoch: 8 [2560/48700]	Loss: 1.2456	LR: 0.100000
Training Epoch: 8 [2816/48700]	Loss: 1.3598	LR: 0.100000
Training Epoch: 8 [3072/48700]	Loss: 1.2043	LR: 0.100000
Training Epoch: 8 [3328/48700]	Loss: 1.3205	LR: 0.100000
Training Epoch: 8 [3584/48700]	Loss: 1.3130	LR: 0.100000
Training Epoch: 8 [3840/48700]	Loss: 1.2914	LR: 0.100000
Training Epoch: 8 [4096/48700]	Loss: 1.1830	LR: 0.100000
Training Epoch: 8 [4352/48700]	Loss: 1.2828	LR: 0.100000
Training Epoch: 8 [4608/48700]	Loss: 1.1656	LR: 0.100000
Training Epoch: 8 [4864/48700]	Loss: 1.2538	LR: 0.100000
Training Epoch: 8 [5120/48700]	Loss: 1.3191	LR: 0.100000
Training Epoch: 8 [5376/48700]	Loss: 1.1544	LR: 0.100000
Training Epoch: 8 [5632/48700]	Loss: 1.1837	LR: 0.100000
Training Epoch: 8 [5888/48700]	Loss: 1.3082	LR: 0.100000
Training Epoch: 8 [6144/48700]	Loss: 1.1832	LR: 0.100000
Training Epoch: 8 [6400/48700]	Loss: 1.2715	LR: 0.100000
Training Epoch: 8 [6656/48700]	Loss: 1.2531	LR: 0.100000
Training Epoch: 8 [6912/48700]	Loss: 1.3061	LR: 0.100000
Training Epoch: 8 [7168/48700]	Loss: 1.2961	LR: 0.100000
Training Epoch: 8 [7424/48700]	Loss: 1.2405	LR: 0.100000
Training Epoch: 8 [7680/48700]	Loss: 1.2998	LR: 0.100000
Training Epoch: 8 [7936/48700]	Loss: 1.2367	LR: 0.100000
Training Epoch: 8 [8192/48700]	Loss: 1.2310	LR: 0.100000
Training Epoch: 8 [8448/48700]	Loss: 1.1797	LR: 0.100000
Training Epoch: 8 [8704/48700]	Loss: 1.2282	LR: 0.100000
Training Epoch: 8 [8960/48700]	Loss: 1.3738	LR: 0.100000
Training Epoch: 8 [9216/48700]	Loss: 1.1080	LR: 0.100000
Training Epoch: 8 [9472/48700]	Loss: 1.1537	LR: 0.100000
Training Epoch: 8 [9728/48700]	Loss: 1.1564	LR: 0.100000
Training Epoch: 8 [9984/48700]	Loss: 1.2752	LR: 0.100000
Training Epoch: 8 [10240/48700]	Loss: 1.1274	LR: 0.100000
Training Epoch: 8 [10496/48700]	Loss: 1.1118	LR: 0.100000
Training Epoch: 8 [10752/48700]	Loss: 1.3190	LR: 0.100000
Training Epoch: 8 [11008/48700]	Loss: 1.3335	LR: 0.100000
Training Epoch: 8 [11264/48700]	Loss: 1.2217	LR: 0.100000
Training Epoch: 8 [11520/48700]	Loss: 1.1016	LR: 0.100000
Training Epoch: 8 [11776/48700]	Loss: 1.1519	LR: 0.100000
Training Epoch: 8 [12032/48700]	Loss: 1.2223	LR: 0.100000
Training Epoch: 8 [12288/48700]	Loss: 1.3023	LR: 0.100000
Training Epoch: 8 [12544/48700]	Loss: 1.1234	LR: 0.100000
Training Epoch: 8 [12800/48700]	Loss: 1.2321	LR: 0.100000
Training Epoch: 8 [13056/48700]	Loss: 1.2264	LR: 0.100000
Training Epoch: 8 [13312/48700]	Loss: 1.1684	LR: 0.100000
Training Epoch: 8 [13568/48700]	Loss: 1.1961	LR: 0.100000
Training Epoch: 8 [13824/48700]	Loss: 1.0784	LR: 0.100000
Training Epoch: 8 [14080/48700]	Loss: 1.1622	LR: 0.100000
Training Epoch: 8 [14336/48700]	Loss: 1.1376	LR: 0.100000
Training Epoch: 8 [14592/48700]	Loss: 1.2511	LR: 0.100000
Training Epoch: 8 [14848/48700]	Loss: 1.2597	LR: 0.100000
Training Epoch: 8 [15104/48700]	Loss: 1.2945	LR: 0.100000
Training Epoch: 8 [15360/48700]	Loss: 1.1081	LR: 0.100000
Training Epoch: 8 [15616/48700]	Loss: 1.0286	LR: 0.100000
Training Epoch: 8 [15872/48700]	Loss: 1.1094	LR: 0.100000
Training Epoch: 8 [16128/48700]	Loss: 1.1168	LR: 0.100000
Training Epoch: 8 [16384/48700]	Loss: 1.2743	LR: 0.100000
Training Epoch: 8 [16640/48700]	Loss: 1.1844	LR: 0.100000
Training Epoch: 8 [16896/48700]	Loss: 1.1938	LR: 0.100000
Training Epoch: 8 [17152/48700]	Loss: 1.1985	LR: 0.100000
Training Epoch: 8 [17408/48700]	Loss: 1.3872	LR: 0.100000
Training Epoch: 8 [17664/48700]	Loss: 1.2018	LR: 0.100000
Training Epoch: 8 [17920/48700]	Loss: 1.1852	LR: 0.100000
Training Epoch: 8 [18176/48700]	Loss: 1.2020	LR: 0.100000
Training Epoch: 8 [18432/48700]	Loss: 1.2420	LR: 0.100000
Training Epoch: 8 [18688/48700]	Loss: 1.1879	LR: 0.100000
Training Epoch: 8 [18944/48700]	Loss: 1.3477	LR: 0.100000
Training Epoch: 8 [19200/48700]	Loss: 1.1299	LR: 0.100000
Training Epoch: 8 [19456/48700]	Loss: 1.2182	LR: 0.100000
Training Epoch: 8 [19712/48700]	Loss: 1.1121	LR: 0.100000
Training Epoch: 8 [19968/48700]	Loss: 1.0966	LR: 0.100000
Training Epoch: 8 [20224/48700]	Loss: 1.1605	LR: 0.100000
Training Epoch: 8 [20480/48700]	Loss: 1.2452	LR: 0.100000
Training Epoch: 8 [20736/48700]	Loss: 1.1589	LR: 0.100000
Training Epoch: 8 [20992/48700]	Loss: 1.1328	LR: 0.100000
Training Epoch: 8 [21248/48700]	Loss: 1.1300	LR: 0.100000
Training Epoch: 8 [21504/48700]	Loss: 1.1250	LR: 0.100000
Training Epoch: 8 [21760/48700]	Loss: 1.2455	LR: 0.100000
Training Epoch: 8 [22016/48700]	Loss: 1.2773	LR: 0.100000
Training Epoch: 8 [22272/48700]	Loss: 1.0969	LR: 0.100000
Training Epoch: 8 [22528/48700]	Loss: 1.0914	LR: 0.100000
Training Epoch: 8 [22784/48700]	Loss: 1.2810	LR: 0.100000
Training Epoch: 8 [23040/48700]	Loss: 1.2625	LR: 0.100000
Training Epoch: 8 [23296/48700]	Loss: 1.1833	LR: 0.100000
Training Epoch: 8 [23552/48700]	Loss: 1.3792	LR: 0.100000
Training Epoch: 8 [23808/48700]	Loss: 0.9825	LR: 0.100000
Training Epoch: 8 [24064/48700]	Loss: 1.2932	LR: 0.100000
Training Epoch: 8 [24320/48700]	Loss: 1.3307	LR: 0.100000
Training Epoch: 8 [24576/48700]	Loss: 1.1300	LR: 0.100000
Training Epoch: 8 [24832/48700]	Loss: 1.2245	LR: 0.100000
Training Epoch: 8 [25088/48700]	Loss: 1.0798	LR: 0.100000
Training Epoch: 8 [25344/48700]	Loss: 1.2834	LR: 0.100000
Training Epoch: 8 [25600/48700]	Loss: 1.0058	LR: 0.100000
Training Epoch: 8 [25856/48700]	Loss: 1.2958	LR: 0.100000
Training Epoch: 8 [26112/48700]	Loss: 1.3123	LR: 0.100000
Training Epoch: 8 [26368/48700]	Loss: 1.0544	LR: 0.100000
Training Epoch: 8 [26624/48700]	Loss: 1.2235	LR: 0.100000
Training Epoch: 8 [26880/48700]	Loss: 1.1843	LR: 0.100000
Training Epoch: 8 [27136/48700]	Loss: 1.0831	LR: 0.100000
Training Epoch: 8 [27392/48700]	Loss: 1.1416	LR: 0.100000
Training Epoch: 8 [27648/48700]	Loss: 1.3074	LR: 0.100000
Training Epoch: 8 [27904/48700]	Loss: 1.1933	LR: 0.100000
Training Epoch: 8 [28160/48700]	Loss: 1.2305	LR: 0.100000
Training Epoch: 8 [28416/48700]	Loss: 1.2315	LR: 0.100000
Training Epoch: 8 [28672/48700]	Loss: 1.2059	LR: 0.100000
Training Epoch: 8 [28928/48700]	Loss: 1.1388	LR: 0.100000
Training Epoch: 8 [29184/48700]	Loss: 1.1287	LR: 0.100000
Training Epoch: 8 [29440/48700]	Loss: 1.2416	LR: 0.100000
Training Epoch: 8 [29696/48700]	Loss: 1.0631	LR: 0.100000
Training Epoch: 8 [29952/48700]	Loss: 1.2049	LR: 0.100000
Training Epoch: 8 [30208/48700]	Loss: 1.2654	LR: 0.100000
Training Epoch: 8 [30464/48700]	Loss: 1.0806	LR: 0.100000
Training Epoch: 8 [30720/48700]	Loss: 1.2161	LR: 0.100000
Training Epoch: 8 [30976/48700]	Loss: 1.2821	LR: 0.100000
Training Epoch: 8 [31232/48700]	Loss: 1.1960	LR: 0.100000
Training Epoch: 8 [31488/48700]	Loss: 1.0386	LR: 0.100000
Training Epoch: 8 [31744/48700]	Loss: 1.2301	LR: 0.100000
Training Epoch: 8 [32000/48700]	Loss: 1.2912	LR: 0.100000
Training Epoch: 8 [32256/48700]	Loss: 1.2605	LR: 0.100000
Training Epoch: 8 [32512/48700]	Loss: 1.2198	LR: 0.100000
Training Epoch: 8 [32768/48700]	Loss: 1.2023	LR: 0.100000
Training Epoch: 8 [33024/48700]	Loss: 0.9880	LR: 0.100000
Training Epoch: 8 [33280/48700]	Loss: 1.0222	LR: 0.100000
Training Epoch: 8 [33536/48700]	Loss: 1.0692	LR: 0.100000
Training Epoch: 8 [33792/48700]	Loss: 1.2703	LR: 0.100000
Training Epoch: 8 [34048/48700]	Loss: 1.0480	LR: 0.100000
Training Epoch: 8 [34304/48700]	Loss: 1.2195	LR: 0.100000
Training Epoch: 8 [34560/48700]	Loss: 1.1530	LR: 0.100000
Training Epoch: 8 [34816/48700]	Loss: 1.2703	LR: 0.100000
Training Epoch: 8 [35072/48700]	Loss: 1.2308	LR: 0.100000
Training Epoch: 8 [35328/48700]	Loss: 1.2150	LR: 0.100000
Training Epoch: 8 [35584/48700]	Loss: 1.2545	LR: 0.100000
Training Epoch: 8 [35840/48700]	Loss: 1.1715	LR: 0.100000
Training Epoch: 8 [36096/48700]	Loss: 1.2484	LR: 0.100000
Training Epoch: 8 [36352/48700]	Loss: 1.1469	LR: 0.100000
Training Epoch: 8 [36608/48700]	Loss: 1.5063	LR: 0.100000
Training Epoch: 8 [36864/48700]	Loss: 1.0936	LR: 0.100000
Training Epoch: 8 [37120/48700]	Loss: 1.1253	LR: 0.100000
Training Epoch: 8 [37376/48700]	Loss: 1.2233	LR: 0.100000
Training Epoch: 8 [37632/48700]	Loss: 1.1846	LR: 0.100000
Training Epoch: 8 [37888/48700]	Loss: 0.9840	LR: 0.100000
Training Epoch: 8 [38144/48700]	Loss: 0.9886	LR: 0.100000
Training Epoch: 8 [38400/48700]	Loss: 1.1654	LR: 0.100000
Training Epoch: 8 [38656/48700]	Loss: 1.2553	LR: 0.100000
Training Epoch: 8 [38912/48700]	Loss: 1.0966	LR: 0.100000
Training Epoch: 8 [39168/48700]	Loss: 1.3687	LR: 0.100000
Training Epoch: 8 [39424/48700]	Loss: 1.3728	LR: 0.100000
Training Epoch: 8 [39680/48700]	Loss: 1.0558	LR: 0.100000
Training Epoch: 8 [39936/48700]	Loss: 1.1133	LR: 0.100000
Training Epoch: 8 [40192/48700]	Loss: 1.2290	LR: 0.100000
Training Epoch: 8 [40448/48700]	Loss: 1.2007	LR: 0.100000
Training Epoch: 8 [40704/48700]	Loss: 1.1404	LR: 0.100000
Training Epoch: 8 [40960/48700]	Loss: 1.1662	LR: 0.100000
Training Epoch: 8 [41216/48700]	Loss: 1.1343	LR: 0.100000
Training Epoch: 8 [41472/48700]	Loss: 1.0958	LR: 0.100000
Training Epoch: 8 [41728/48700]	Loss: 1.1754	LR: 0.100000
Training Epoch: 8 [41984/48700]	Loss: 1.1512	LR: 0.100000
Training Epoch: 8 [42240/48700]	Loss: 1.2043	LR: 0.100000
Training Epoch: 8 [42496/48700]	Loss: 1.2500	LR: 0.100000
Training Epoch: 8 [42752/48700]	Loss: 1.4046	LR: 0.100000
Training Epoch: 8 [43008/48700]	Loss: 1.1411	LR: 0.100000
Training Epoch: 8 [43264/48700]	Loss: 1.0583	LR: 0.100000
Training Epoch: 8 [43520/48700]	Loss: 1.2339	LR: 0.100000
Training Epoch: 8 [43776/48700]	Loss: 1.1557	LR: 0.100000
Training Epoch: 8 [44032/48700]	Loss: 1.1911	LR: 0.100000
Training Epoch: 8 [44288/48700]	Loss: 1.2143	LR: 0.100000
Training Epoch: 8 [44544/48700]	Loss: 1.2465	LR: 0.100000
Training Epoch: 8 [44800/48700]	Loss: 1.1870	LR: 0.100000
Training Epoch: 8 [45056/48700]	Loss: 1.1931	LR: 0.100000
Training Epoch: 8 [45312/48700]	Loss: 1.1492	LR: 0.100000
Training Epoch: 8 [45568/48700]	Loss: 1.3060	LR: 0.100000
Training Epoch: 8 [45824/48700]	Loss: 1.2160	LR: 0.100000
Training Epoch: 8 [46080/48700]	Loss: 1.1801	LR: 0.100000
Training Epoch: 8 [46336/48700]	Loss: 1.0441	LR: 0.100000
Training Epoch: 8 [46592/48700]	Loss: 1.1475	LR: 0.100000
Training Epoch: 8 [46848/48700]	Loss: 1.1699	LR: 0.100000
Training Epoch: 8 [47104/48700]	Loss: 1.2845	LR: 0.100000
Training Epoch: 8 [47360/48700]	Loss: 1.2203	LR: 0.100000
Training Epoch: 8 [47616/48700]	Loss: 1.0437	LR: 0.100000
Training Epoch: 8 [47872/48700]	Loss: 1.1165	LR: 0.100000
Training Epoch: 8 [48128/48700]	Loss: 1.1201	LR: 0.100000
Training Epoch: 8 [48384/48700]	Loss: 1.1914	LR: 0.100000
Training Epoch: 8 [48640/48700]	Loss: 1.2114	LR: 0.100000
Training Epoch: 8 [48700/48700]	Loss: 1.2092	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1987, Train Accuracy: 0.6142
Epoch 8 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0050, Accuracy: 0.6033, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.2668	LR: 0.100000
Training Epoch: 9 [512/48700]	Loss: 1.1519	LR: 0.100000
Training Epoch: 9 [768/48700]	Loss: 1.0815	LR: 0.100000
Training Epoch: 9 [1024/48700]	Loss: 1.1079	LR: 0.100000
Training Epoch: 9 [1280/48700]	Loss: 0.9430	LR: 0.100000
Training Epoch: 9 [1536/48700]	Loss: 1.0484	LR: 0.100000
Training Epoch: 9 [1792/48700]	Loss: 1.0878	LR: 0.100000
Training Epoch: 9 [2048/48700]	Loss: 1.1493	LR: 0.100000
Training Epoch: 9 [2304/48700]	Loss: 1.1068	LR: 0.100000
Training Epoch: 9 [2560/48700]	Loss: 0.9425	LR: 0.100000
Training Epoch: 9 [2816/48700]	Loss: 1.2249	LR: 0.100000
Training Epoch: 9 [3072/48700]	Loss: 1.1569	LR: 0.100000
Training Epoch: 9 [3328/48700]	Loss: 1.1608	LR: 0.100000
Training Epoch: 9 [3584/48700]	Loss: 1.2091	LR: 0.100000
Training Epoch: 9 [3840/48700]	Loss: 1.1477	LR: 0.100000
Training Epoch: 9 [4096/48700]	Loss: 1.1112	LR: 0.100000
Training Epoch: 9 [4352/48700]	Loss: 1.1993	LR: 0.100000
Training Epoch: 9 [4608/48700]	Loss: 1.1259	LR: 0.100000
Training Epoch: 9 [4864/48700]	Loss: 1.0567	LR: 0.100000
Training Epoch: 9 [5120/48700]	Loss: 1.0168	LR: 0.100000
Training Epoch: 9 [5376/48700]	Loss: 1.0705	LR: 0.100000
Training Epoch: 9 [5632/48700]	Loss: 1.0678	LR: 0.100000
Training Epoch: 9 [5888/48700]	Loss: 1.1715	LR: 0.100000
Training Epoch: 9 [6144/48700]	Loss: 0.9918	LR: 0.100000
Training Epoch: 9 [6400/48700]	Loss: 1.2609	LR: 0.100000
Training Epoch: 9 [6656/48700]	Loss: 1.1365	LR: 0.100000
Training Epoch: 9 [6912/48700]	Loss: 1.2947	LR: 0.100000
Training Epoch: 9 [7168/48700]	Loss: 1.1885	LR: 0.100000
Training Epoch: 9 [7424/48700]	Loss: 1.0591	LR: 0.100000
Training Epoch: 9 [7680/48700]	Loss: 1.0050	LR: 0.100000
Training Epoch: 9 [7936/48700]	Loss: 1.1758	LR: 0.100000
Training Epoch: 9 [8192/48700]	Loss: 1.1290	LR: 0.100000
Training Epoch: 9 [8448/48700]	Loss: 1.0414	LR: 0.100000
Training Epoch: 9 [8704/48700]	Loss: 1.0424	LR: 0.100000
Training Epoch: 9 [8960/48700]	Loss: 1.2567	LR: 0.100000
Training Epoch: 9 [9216/48700]	Loss: 1.0080	LR: 0.100000
Training Epoch: 9 [9472/48700]	Loss: 1.0775	LR: 0.100000
Training Epoch: 9 [9728/48700]	Loss: 1.0317	LR: 0.100000
Training Epoch: 9 [9984/48700]	Loss: 1.0604	LR: 0.100000
Training Epoch: 9 [10240/48700]	Loss: 1.0662	LR: 0.100000
Training Epoch: 9 [10496/48700]	Loss: 1.1016	LR: 0.100000
Training Epoch: 9 [10752/48700]	Loss: 1.1415	LR: 0.100000
Training Epoch: 9 [11008/48700]	Loss: 0.9976	LR: 0.100000
Training Epoch: 9 [11264/48700]	Loss: 1.0633	LR: 0.100000
Training Epoch: 9 [11520/48700]	Loss: 1.1320	LR: 0.100000
Training Epoch: 9 [11776/48700]	Loss: 1.0592	LR: 0.100000
Training Epoch: 9 [12032/48700]	Loss: 0.9865	LR: 0.100000
Training Epoch: 9 [12288/48700]	Loss: 1.2023	LR: 0.100000
Training Epoch: 9 [12544/48700]	Loss: 0.9840	LR: 0.100000
Training Epoch: 9 [12800/48700]	Loss: 1.1809	LR: 0.100000
Training Epoch: 9 [13056/48700]	Loss: 0.9675	LR: 0.100000
Training Epoch: 9 [13312/48700]	Loss: 1.1984	LR: 0.100000
Training Epoch: 9 [13568/48700]	Loss: 1.0842	LR: 0.100000
Training Epoch: 9 [13824/48700]	Loss: 1.1291	LR: 0.100000
Training Epoch: 9 [14080/48700]	Loss: 1.2308	LR: 0.100000
Training Epoch: 9 [14336/48700]	Loss: 1.1653	LR: 0.100000
Training Epoch: 9 [14592/48700]	Loss: 1.2654	LR: 0.100000
Training Epoch: 9 [14848/48700]	Loss: 1.1623	LR: 0.100000
Training Epoch: 9 [15104/48700]	Loss: 1.1278	LR: 0.100000
Training Epoch: 9 [15360/48700]	Loss: 1.0087	LR: 0.100000
Training Epoch: 9 [15616/48700]	Loss: 1.1793	LR: 0.100000
Training Epoch: 9 [15872/48700]	Loss: 1.2500	LR: 0.100000
Training Epoch: 9 [16128/48700]	Loss: 1.0239	LR: 0.100000
Training Epoch: 9 [16384/48700]	Loss: 1.0638	LR: 0.100000
Training Epoch: 9 [16640/48700]	Loss: 1.1534	LR: 0.100000
Training Epoch: 9 [16896/48700]	Loss: 1.0412	LR: 0.100000
Training Epoch: 9 [17152/48700]	Loss: 1.3123	LR: 0.100000
Training Epoch: 9 [17408/48700]	Loss: 1.1335	LR: 0.100000
Training Epoch: 9 [17664/48700]	Loss: 1.0812	LR: 0.100000
Training Epoch: 9 [17920/48700]	Loss: 1.0242	LR: 0.100000
Training Epoch: 9 [18176/48700]	Loss: 1.2253	LR: 0.100000
Training Epoch: 9 [18432/48700]	Loss: 0.9935	LR: 0.100000
Training Epoch: 9 [18688/48700]	Loss: 1.1915	LR: 0.100000
Training Epoch: 9 [18944/48700]	Loss: 1.1542	LR: 0.100000
Training Epoch: 9 [19200/48700]	Loss: 1.1270	LR: 0.100000
Training Epoch: 9 [19456/48700]	Loss: 1.0175	LR: 0.100000
Training Epoch: 9 [19712/48700]	Loss: 1.2886	LR: 0.100000
Training Epoch: 9 [19968/48700]	Loss: 1.0056	LR: 0.100000
Training Epoch: 9 [20224/48700]	Loss: 1.0217	LR: 0.100000
Training Epoch: 9 [20480/48700]	Loss: 1.1100	LR: 0.100000
Training Epoch: 9 [20736/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 9 [20992/48700]	Loss: 1.1925	LR: 0.100000
Training Epoch: 9 [21248/48700]	Loss: 1.1156	LR: 0.100000
Training Epoch: 9 [21504/48700]	Loss: 1.0619	LR: 0.100000
Training Epoch: 9 [21760/48700]	Loss: 1.0624	LR: 0.100000
Training Epoch: 9 [22016/48700]	Loss: 1.3185	LR: 0.100000
Training Epoch: 9 [22272/48700]	Loss: 1.0954	LR: 0.100000
Training Epoch: 9 [22528/48700]	Loss: 1.1517	LR: 0.100000
Training Epoch: 9 [22784/48700]	Loss: 1.1529	LR: 0.100000
Training Epoch: 9 [23040/48700]	Loss: 1.1183	LR: 0.100000
Training Epoch: 9 [23296/48700]	Loss: 1.0845	LR: 0.100000
Training Epoch: 9 [23552/48700]	Loss: 1.1451	LR: 0.100000
Training Epoch: 9 [23808/48700]	Loss: 0.9945	LR: 0.100000
Training Epoch: 9 [24064/48700]	Loss: 1.1514	LR: 0.100000
Training Epoch: 9 [24320/48700]	Loss: 1.0704	LR: 0.100000
Training Epoch: 9 [24576/48700]	Loss: 1.1877	LR: 0.100000
Training Epoch: 9 [24832/48700]	Loss: 1.0619	LR: 0.100000
Training Epoch: 9 [25088/48700]	Loss: 1.1294	LR: 0.100000
Training Epoch: 9 [25344/48700]	Loss: 1.0463	LR: 0.100000
Training Epoch: 9 [25600/48700]	Loss: 1.1842	LR: 0.100000
Training Epoch: 9 [25856/48700]	Loss: 1.0637	LR: 0.100000
Training Epoch: 9 [26112/48700]	Loss: 1.0413	LR: 0.100000
Training Epoch: 9 [26368/48700]	Loss: 1.0267	LR: 0.100000
Training Epoch: 9 [26624/48700]	Loss: 1.1386	LR: 0.100000
Training Epoch: 9 [26880/48700]	Loss: 1.1827	LR: 0.100000
Training Epoch: 9 [27136/48700]	Loss: 1.2495	LR: 0.100000
Training Epoch: 9 [27392/48700]	Loss: 1.1722	LR: 0.100000
Training Epoch: 9 [27648/48700]	Loss: 1.0875	LR: 0.100000
Training Epoch: 9 [27904/48700]	Loss: 1.1341	LR: 0.100000
Training Epoch: 9 [28160/48700]	Loss: 1.2007	LR: 0.100000
Training Epoch: 9 [28416/48700]	Loss: 1.1258	LR: 0.100000
Training Epoch: 9 [28672/48700]	Loss: 1.0734	LR: 0.100000
Training Epoch: 9 [28928/48700]	Loss: 1.1277	LR: 0.100000
Training Epoch: 9 [29184/48700]	Loss: 1.2170	LR: 0.100000
Training Epoch: 9 [29440/48700]	Loss: 1.1293	LR: 0.100000
Training Epoch: 9 [29696/48700]	Loss: 1.1880	LR: 0.100000
Training Epoch: 9 [29952/48700]	Loss: 0.8801	LR: 0.100000
Training Epoch: 9 [30208/48700]	Loss: 1.1674	LR: 0.100000
Training Epoch: 9 [30464/48700]	Loss: 1.1782	LR: 0.100000
Training Epoch: 9 [30720/48700]	Loss: 1.1488	LR: 0.100000
Training Epoch: 9 [30976/48700]	Loss: 1.3473	LR: 0.100000
Training Epoch: 9 [31232/48700]	Loss: 1.1955	LR: 0.100000
Training Epoch: 9 [31488/48700]	Loss: 1.1322	LR: 0.100000
Training Epoch: 9 [31744/48700]	Loss: 1.2152	LR: 0.100000
Training Epoch: 9 [32000/48700]	Loss: 1.0953	LR: 0.100000
Training Epoch: 9 [32256/48700]	Loss: 1.0751	LR: 0.100000
Training Epoch: 9 [32512/48700]	Loss: 1.0362	LR: 0.100000
Training Epoch: 9 [32768/48700]	Loss: 1.0399	LR: 0.100000
Training Epoch: 9 [33024/48700]	Loss: 1.0685	LR: 0.100000
Training Epoch: 9 [33280/48700]	Loss: 0.9518	LR: 0.100000
Training Epoch: 9 [33536/48700]	Loss: 1.0812	LR: 0.100000
Training Epoch: 9 [33792/48700]	Loss: 1.1061	LR: 0.100000
Training Epoch: 9 [34048/48700]	Loss: 1.1566	LR: 0.100000
Training Epoch: 9 [34304/48700]	Loss: 1.0767	LR: 0.100000
Training Epoch: 9 [34560/48700]	Loss: 1.0023	LR: 0.100000
Training Epoch: 9 [34816/48700]	Loss: 1.0803	LR: 0.100000
Training Epoch: 9 [35072/48700]	Loss: 1.1068	LR: 0.100000
Training Epoch: 9 [35328/48700]	Loss: 1.0417	LR: 0.100000
Training Epoch: 9 [35584/48700]	Loss: 1.0332	LR: 0.100000
Training Epoch: 9 [35840/48700]	Loss: 1.0130	LR: 0.100000
Training Epoch: 9 [36096/48700]	Loss: 1.1063	LR: 0.100000
Training Epoch: 9 [36352/48700]	Loss: 1.0317	LR: 0.100000
Training Epoch: 9 [36608/48700]	Loss: 1.1163	LR: 0.100000
Training Epoch: 9 [36864/48700]	Loss: 1.0519	LR: 0.100000
Training Epoch: 9 [37120/48700]	Loss: 1.1043	LR: 0.100000
Training Epoch: 9 [37376/48700]	Loss: 0.9967	LR: 0.100000
Training Epoch: 9 [37632/48700]	Loss: 1.0172	LR: 0.100000
Training Epoch: 9 [37888/48700]	Loss: 1.1542	LR: 0.100000
Training Epoch: 9 [38144/48700]	Loss: 1.1279	LR: 0.100000
Training Epoch: 9 [38400/48700]	Loss: 1.0569	LR: 0.100000
Training Epoch: 9 [38656/48700]	Loss: 1.0046	LR: 0.100000
Training Epoch: 9 [38912/48700]	Loss: 0.9980	LR: 0.100000
Training Epoch: 9 [39168/48700]	Loss: 1.1814	LR: 0.100000
Training Epoch: 9 [39424/48700]	Loss: 0.9849	LR: 0.100000
Training Epoch: 9 [39680/48700]	Loss: 1.0169	LR: 0.100000
Training Epoch: 9 [39936/48700]	Loss: 1.1124	LR: 0.100000
Training Epoch: 9 [40192/48700]	Loss: 1.0767	LR: 0.100000
Training Epoch: 9 [40448/48700]	Loss: 1.0727	LR: 0.100000
Training Epoch: 9 [40704/48700]	Loss: 1.1300	LR: 0.100000
Training Epoch: 9 [40960/48700]	Loss: 1.1859	LR: 0.100000
Training Epoch: 9 [41216/48700]	Loss: 1.0943	LR: 0.100000
Training Epoch: 9 [41472/48700]	Loss: 1.1748	LR: 0.100000
Training Epoch: 9 [41728/48700]	Loss: 1.1042	LR: 0.100000
Training Epoch: 9 [41984/48700]	Loss: 1.0881	LR: 0.100000
Training Epoch: 9 [42240/48700]	Loss: 1.1058	LR: 0.100000
Training Epoch: 9 [42496/48700]	Loss: 1.1623	LR: 0.100000
Training Epoch: 9 [42752/48700]	Loss: 0.9314	LR: 0.100000
Training Epoch: 9 [43008/48700]	Loss: 1.0674	LR: 0.100000
Training Epoch: 9 [43264/48700]	Loss: 1.0528	LR: 0.100000
Training Epoch: 9 [43520/48700]	Loss: 0.9511	LR: 0.100000
Training Epoch: 9 [43776/48700]	Loss: 1.1068	LR: 0.100000
Training Epoch: 9 [44032/48700]	Loss: 1.0705	LR: 0.100000
Training Epoch: 9 [44288/48700]	Loss: 1.2923	LR: 0.100000
Training Epoch: 9 [44544/48700]	Loss: 1.0346	LR: 0.100000
Training Epoch: 9 [44800/48700]	Loss: 1.2532	LR: 0.100000
Training Epoch: 9 [45056/48700]	Loss: 1.0028	LR: 0.100000
Training Epoch: 9 [45312/48700]	Loss: 1.0303	LR: 0.100000
Training Epoch: 9 [45568/48700]	Loss: 1.1015	LR: 0.100000
Training Epoch: 9 [45824/48700]	Loss: 1.1769	LR: 0.100000
Training Epoch: 9 [46080/48700]	Loss: 1.1311	LR: 0.100000
Training Epoch: 9 [46336/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 1.1775	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.1061	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 1.0905	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.0803	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.1370	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.2403	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.1263	LR: 0.100000
Training Epoch: 9 [48384/48700]	Loss: 1.1030	LR: 0.100000
Training Epoch: 9 [48640/48700]	Loss: 1.1265	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.1877	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1085, Train Accuracy: 0.6440
Epoch 9 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0052, Accuracy: 0.5908, Time consumed:0.91s
Training Epoch: 10 [256/48700]	Loss: 1.1646	LR: 0.100000
Training Epoch: 10 [512/48700]	Loss: 1.0436	LR: 0.100000
Training Epoch: 10 [768/48700]	Loss: 1.1221	LR: 0.100000
Training Epoch: 10 [1024/48700]	Loss: 1.1796	LR: 0.100000
Training Epoch: 10 [1280/48700]	Loss: 1.0960	LR: 0.100000
Training Epoch: 10 [1536/48700]	Loss: 1.0264	LR: 0.100000
Training Epoch: 10 [1792/48700]	Loss: 1.0276	LR: 0.100000
Training Epoch: 10 [2048/48700]	Loss: 1.1652	LR: 0.100000
Training Epoch: 10 [2304/48700]	Loss: 0.9976	LR: 0.100000
Training Epoch: 10 [2560/48700]	Loss: 1.0338	LR: 0.100000
Training Epoch: 10 [2816/48700]	Loss: 1.1054	LR: 0.100000
Training Epoch: 10 [3072/48700]	Loss: 1.1039	LR: 0.100000
Training Epoch: 10 [3328/48700]	Loss: 1.1339	LR: 0.100000
Training Epoch: 10 [3584/48700]	Loss: 1.0520	LR: 0.100000
Training Epoch: 10 [3840/48700]	Loss: 1.0285	LR: 0.100000
Training Epoch: 10 [4096/48700]	Loss: 1.1738	LR: 0.100000
Training Epoch: 10 [4352/48700]	Loss: 0.9414	LR: 0.100000
Training Epoch: 10 [4608/48700]	Loss: 0.9624	LR: 0.100000
Training Epoch: 10 [4864/48700]	Loss: 1.0675	LR: 0.100000
Training Epoch: 10 [5120/48700]	Loss: 1.0750	LR: 0.100000
Training Epoch: 10 [5376/48700]	Loss: 1.0357	LR: 0.100000
Training Epoch: 10 [5632/48700]	Loss: 1.0106	LR: 0.100000
Training Epoch: 10 [5888/48700]	Loss: 1.1109	LR: 0.100000
Training Epoch: 10 [6144/48700]	Loss: 1.0387	LR: 0.100000
Training Epoch: 10 [6400/48700]	Loss: 1.2199	LR: 0.100000
Training Epoch: 10 [6656/48700]	Loss: 1.0712	LR: 0.100000
Training Epoch: 10 [6912/48700]	Loss: 1.1102	LR: 0.100000
Training Epoch: 10 [7168/48700]	Loss: 1.1170	LR: 0.100000
Training Epoch: 10 [7424/48700]	Loss: 1.0990	LR: 0.100000
Training Epoch: 10 [7680/48700]	Loss: 1.0397	LR: 0.100000
Training Epoch: 10 [7936/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 10 [8192/48700]	Loss: 1.0943	LR: 0.100000
Training Epoch: 10 [8448/48700]	Loss: 1.0477	LR: 0.100000
Training Epoch: 10 [8704/48700]	Loss: 1.1068	LR: 0.100000
Training Epoch: 10 [8960/48700]	Loss: 0.9768	LR: 0.100000
Training Epoch: 10 [9216/48700]	Loss: 1.0380	LR: 0.100000
Training Epoch: 10 [9472/48700]	Loss: 1.0540	LR: 0.100000
Training Epoch: 10 [9728/48700]	Loss: 1.0142	LR: 0.100000
Training Epoch: 10 [9984/48700]	Loss: 1.0818	LR: 0.100000
Training Epoch: 10 [10240/48700]	Loss: 1.0790	LR: 0.100000
Training Epoch: 10 [10496/48700]	Loss: 1.0212	LR: 0.100000
Training Epoch: 10 [10752/48700]	Loss: 1.1738	LR: 0.100000
Training Epoch: 10 [11008/48700]	Loss: 0.9941	LR: 0.100000
Training Epoch: 10 [11264/48700]	Loss: 0.8372	LR: 0.100000
Training Epoch: 10 [11520/48700]	Loss: 0.9865	LR: 0.100000
Training Epoch: 10 [11776/48700]	Loss: 1.0674	LR: 0.100000
Training Epoch: 10 [12032/48700]	Loss: 1.1066	LR: 0.100000
Training Epoch: 10 [12288/48700]	Loss: 1.1404	LR: 0.100000
Training Epoch: 10 [12544/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 10 [12800/48700]	Loss: 1.0872	LR: 0.100000
Training Epoch: 10 [13056/48700]	Loss: 1.1048	LR: 0.100000
Training Epoch: 10 [13312/48700]	Loss: 0.9326	LR: 0.100000
Training Epoch: 10 [13568/48700]	Loss: 0.9631	LR: 0.100000
Training Epoch: 10 [13824/48700]	Loss: 1.1506	LR: 0.100000
Training Epoch: 10 [14080/48700]	Loss: 1.0193	LR: 0.100000
Training Epoch: 10 [14336/48700]	Loss: 0.9932	LR: 0.100000
Training Epoch: 10 [14592/48700]	Loss: 1.1707	LR: 0.100000
Training Epoch: 10 [14848/48700]	Loss: 0.9502	LR: 0.100000
Training Epoch: 10 [15104/48700]	Loss: 0.9905	LR: 0.100000
Training Epoch: 10 [15360/48700]	Loss: 1.0719	LR: 0.100000
Training Epoch: 10 [15616/48700]	Loss: 0.9860	LR: 0.100000
Training Epoch: 10 [15872/48700]	Loss: 1.0317	LR: 0.100000
Training Epoch: 10 [16128/48700]	Loss: 1.0645	LR: 0.100000
Training Epoch: 10 [16384/48700]	Loss: 1.0240	LR: 0.100000
Training Epoch: 10 [16640/48700]	Loss: 1.0377	LR: 0.100000
Training Epoch: 10 [16896/48700]	Loss: 1.0676	LR: 0.100000
Training Epoch: 10 [17152/48700]	Loss: 1.1398	LR: 0.100000
Training Epoch: 10 [17408/48700]	Loss: 1.1527	LR: 0.100000
Training Epoch: 10 [17664/48700]	Loss: 1.0639	LR: 0.100000
Training Epoch: 10 [17920/48700]	Loss: 1.1705	LR: 0.100000
Training Epoch: 10 [18176/48700]	Loss: 1.0703	LR: 0.100000
Training Epoch: 10 [18432/48700]	Loss: 1.1408	LR: 0.100000
Training Epoch: 10 [18688/48700]	Loss: 1.0271	LR: 0.100000
Training Epoch: 10 [18944/48700]	Loss: 0.9793	LR: 0.100000
Training Epoch: 10 [19200/48700]	Loss: 0.8816	LR: 0.100000
Training Epoch: 10 [19456/48700]	Loss: 1.1410	LR: 0.100000
Training Epoch: 10 [19712/48700]	Loss: 0.9712	LR: 0.100000
Training Epoch: 10 [19968/48700]	Loss: 1.0421	LR: 0.100000
Training Epoch: 10 [20224/48700]	Loss: 1.0723	LR: 0.100000
Training Epoch: 10 [20480/48700]	Loss: 1.1155	LR: 0.100000
Training Epoch: 10 [20736/48700]	Loss: 1.1567	LR: 0.100000
Training Epoch: 10 [20992/48700]	Loss: 1.0237	LR: 0.100000
Training Epoch: 10 [21248/48700]	Loss: 1.0659	LR: 0.100000
Training Epoch: 10 [21504/48700]	Loss: 1.0587	LR: 0.100000
Training Epoch: 10 [21760/48700]	Loss: 0.9849	LR: 0.100000
Training Epoch: 10 [22016/48700]	Loss: 1.0380	LR: 0.100000
Training Epoch: 10 [22272/48700]	Loss: 1.0894	LR: 0.100000
Training Epoch: 10 [22528/48700]	Loss: 1.0012	LR: 0.100000
Training Epoch: 10 [22784/48700]	Loss: 1.1414	LR: 0.100000
Training Epoch: 10 [23040/48700]	Loss: 1.0799	LR: 0.100000
Training Epoch: 10 [23296/48700]	Loss: 1.0575	LR: 0.100000
Training Epoch: 10 [23552/48700]	Loss: 0.9913	LR: 0.100000
Training Epoch: 10 [23808/48700]	Loss: 1.1812	LR: 0.100000
Training Epoch: 10 [24064/48700]	Loss: 1.0281	LR: 0.100000
Training Epoch: 10 [24320/48700]	Loss: 1.1194	LR: 0.100000
Training Epoch: 10 [24576/48700]	Loss: 0.9001	LR: 0.100000
Training Epoch: 10 [24832/48700]	Loss: 0.9740	LR: 0.100000
Training Epoch: 10 [25088/48700]	Loss: 1.0321	LR: 0.100000
Training Epoch: 10 [25344/48700]	Loss: 1.1056	LR: 0.100000
Training Epoch: 10 [25600/48700]	Loss: 1.0444	LR: 0.100000
Training Epoch: 10 [25856/48700]	Loss: 0.9765	LR: 0.100000
Training Epoch: 10 [26112/48700]	Loss: 0.9058	LR: 0.100000
Training Epoch: 10 [26368/48700]	Loss: 0.9723	LR: 0.100000
Training Epoch: 10 [26624/48700]	Loss: 1.0922	LR: 0.100000
Training Epoch: 10 [26880/48700]	Loss: 1.1621	LR: 0.100000
Training Epoch: 10 [27136/48700]	Loss: 1.0414	LR: 0.100000
Training Epoch: 10 [27392/48700]	Loss: 1.0639	LR: 0.100000
Training Epoch: 10 [27648/48700]	Loss: 1.1269	LR: 0.100000
Training Epoch: 10 [27904/48700]	Loss: 0.9761	LR: 0.100000
Training Epoch: 10 [28160/48700]	Loss: 1.1600	LR: 0.100000
Training Epoch: 10 [28416/48700]	Loss: 0.9486	LR: 0.100000
Training Epoch: 10 [28672/48700]	Loss: 0.9743	LR: 0.100000
Training Epoch: 10 [28928/48700]	Loss: 1.0618	LR: 0.100000
Training Epoch: 10 [29184/48700]	Loss: 1.1248	LR: 0.100000
Training Epoch: 10 [29440/48700]	Loss: 1.0594	LR: 0.100000
Training Epoch: 10 [29696/48700]	Loss: 1.1426	LR: 0.100000
Training Epoch: 10 [29952/48700]	Loss: 1.0556	LR: 0.100000
Training Epoch: 10 [30208/48700]	Loss: 1.1321	LR: 0.100000
Training Epoch: 10 [30464/48700]	Loss: 1.0157	LR: 0.100000
Training Epoch: 10 [30720/48700]	Loss: 1.0668	LR: 0.100000
Training Epoch: 10 [30976/48700]	Loss: 0.9594	LR: 0.100000
Training Epoch: 10 [31232/48700]	Loss: 1.0055	LR: 0.100000
Training Epoch: 10 [31488/48700]	Loss: 0.9969	LR: 0.100000
Training Epoch: 10 [31744/48700]	Loss: 1.0261	LR: 0.100000
Training Epoch: 10 [32000/48700]	Loss: 0.9391	LR: 0.100000
Training Epoch: 10 [32256/48700]	Loss: 1.0656	LR: 0.100000
Training Epoch: 10 [32512/48700]	Loss: 0.9576	LR: 0.100000
Training Epoch: 10 [32768/48700]	Loss: 1.0321	LR: 0.100000
Training Epoch: 10 [33024/48700]	Loss: 0.9962	LR: 0.100000
Training Epoch: 10 [33280/48700]	Loss: 1.2622	LR: 0.100000
Training Epoch: 10 [33536/48700]	Loss: 1.1253	LR: 0.100000
Training Epoch: 10 [33792/48700]	Loss: 1.0573	LR: 0.100000
Training Epoch: 10 [34048/48700]	Loss: 1.1257	LR: 0.100000
Training Epoch: 10 [34304/48700]	Loss: 1.0650	LR: 0.100000
Training Epoch: 10 [34560/48700]	Loss: 1.1500	LR: 0.100000
Training Epoch: 10 [34816/48700]	Loss: 1.1409	LR: 0.100000
Training Epoch: 10 [35072/48700]	Loss: 1.1103	LR: 0.100000
Training Epoch: 10 [35328/48700]	Loss: 1.1217	LR: 0.100000
Training Epoch: 10 [35584/48700]	Loss: 1.0014	LR: 0.100000
Training Epoch: 10 [35840/48700]	Loss: 0.9676	LR: 0.100000
Training Epoch: 10 [36096/48700]	Loss: 0.8834	LR: 0.100000
Training Epoch: 10 [36352/48700]	Loss: 1.2072	LR: 0.100000
Training Epoch: 10 [36608/48700]	Loss: 0.9562	LR: 0.100000
Training Epoch: 10 [36864/48700]	Loss: 1.0308	LR: 0.100000
Training Epoch: 10 [37120/48700]	Loss: 1.0846	LR: 0.100000
Training Epoch: 10 [37376/48700]	Loss: 1.0879	LR: 0.100000
Training Epoch: 10 [37632/48700]	Loss: 1.1587	LR: 0.100000
Training Epoch: 10 [37888/48700]	Loss: 1.0698	LR: 0.100000
Training Epoch: 10 [38144/48700]	Loss: 1.1934	LR: 0.100000
Training Epoch: 10 [38400/48700]	Loss: 1.1625	LR: 0.100000
Training Epoch: 10 [38656/48700]	Loss: 1.1512	LR: 0.100000
Training Epoch: 10 [38912/48700]	Loss: 1.0337	LR: 0.100000
Training Epoch: 10 [39168/48700]	Loss: 1.0986	LR: 0.100000
Training Epoch: 10 [39424/48700]	Loss: 1.0157	LR: 0.100000
Training Epoch: 10 [39680/48700]	Loss: 1.0028	LR: 0.100000
Training Epoch: 10 [39936/48700]	Loss: 1.1177	LR: 0.100000
Training Epoch: 10 [40192/48700]	Loss: 1.0576	LR: 0.100000
Training Epoch: 10 [40448/48700]	Loss: 1.0278	LR: 0.100000
Training Epoch: 10 [40704/48700]	Loss: 1.0020	LR: 0.100000
Training Epoch: 10 [40960/48700]	Loss: 0.9311	LR: 0.100000
Training Epoch: 10 [41216/48700]	Loss: 1.1207	LR: 0.100000
Training Epoch: 10 [41472/48700]	Loss: 0.9868	LR: 0.100000
Training Epoch: 10 [41728/48700]	Loss: 1.0615	LR: 0.100000
Training Epoch: 10 [41984/48700]	Loss: 1.0862	LR: 0.100000
Training Epoch: 10 [42240/48700]	Loss: 1.0993	LR: 0.100000
Training Epoch: 10 [42496/48700]	Loss: 1.0597	LR: 0.100000
Training Epoch: 10 [42752/48700]	Loss: 0.9511	LR: 0.100000
Training Epoch: 10 [43008/48700]	Loss: 1.1571	LR: 0.100000
Training Epoch: 10 [43264/48700]	Loss: 0.9944	LR: 0.100000
Training Epoch: 10 [43520/48700]	Loss: 1.0314	LR: 0.100000
Training Epoch: 10 [43776/48700]	Loss: 1.0536	LR: 0.100000
Training Epoch: 10 [44032/48700]	Loss: 1.0472	LR: 0.100000
Training Epoch: 10 [44288/48700]	Loss: 1.0739	LR: 0.100000
Training Epoch: 10 [44544/48700]	Loss: 1.0644	LR: 0.100000
Training Epoch: 10 [44800/48700]	Loss: 0.9994	LR: 0.100000
Training Epoch: 10 [45056/48700]	Loss: 0.8751	LR: 0.100000
Training Epoch: 10 [45312/48700]	Loss: 1.1710	LR: 0.100000
Training Epoch: 10 [45568/48700]	Loss: 0.9537	LR: 0.100000
Training Epoch: 10 [45824/48700]	Loss: 1.0862	LR: 0.100000
Training Epoch: 10 [46080/48700]	Loss: 1.0932	LR: 0.100000
Training Epoch: 10 [46336/48700]	Loss: 1.1041	LR: 0.100000
Training Epoch: 10 [46592/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 10 [46848/48700]	Loss: 1.0630	LR: 0.100000
Training Epoch: 10 [47104/48700]	Loss: 0.9813	LR: 0.100000
Training Epoch: 10 [47360/48700]	Loss: 1.0410	LR: 0.100000
Training Epoch: 10 [47616/48700]	Loss: 1.0268	LR: 0.100000
Training Epoch: 10 [47872/48700]	Loss: 1.0961	LR: 0.100000
Training Epoch: 10 [48128/48700]	Loss: 1.0813	LR: 0.100000
Training Epoch: 10 [48384/48700]	Loss: 1.0207	LR: 0.100000
Training Epoch: 10 [48640/48700]	Loss: 1.1135	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.2410	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0572, Train Accuracy: 0.6569
Epoch 10 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0047, Accuracy: 0.6257, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 1.1330	LR: 0.100000
Training Epoch: 11 [512/48700]	Loss: 1.0039	LR: 0.100000
Training Epoch: 11 [768/48700]	Loss: 1.0787	LR: 0.100000
Training Epoch: 11 [1024/48700]	Loss: 0.9960	LR: 0.100000
Training Epoch: 11 [1280/48700]	Loss: 0.9645	LR: 0.100000
Training Epoch: 11 [1536/48700]	Loss: 1.0746	LR: 0.100000
Training Epoch: 11 [1792/48700]	Loss: 1.0255	LR: 0.100000
Training Epoch: 11 [2048/48700]	Loss: 1.1579	LR: 0.100000
Training Epoch: 11 [2304/48700]	Loss: 1.0474	LR: 0.100000
Training Epoch: 11 [2560/48700]	Loss: 1.0386	LR: 0.100000
Training Epoch: 11 [2816/48700]	Loss: 0.9392	LR: 0.100000
Training Epoch: 11 [3072/48700]	Loss: 1.0083	LR: 0.100000
Training Epoch: 11 [3328/48700]	Loss: 1.0733	LR: 0.100000
Training Epoch: 11 [3584/48700]	Loss: 1.0156	LR: 0.100000
Training Epoch: 11 [3840/48700]	Loss: 1.0046	LR: 0.100000
Training Epoch: 11 [4096/48700]	Loss: 0.9714	LR: 0.100000
Training Epoch: 11 [4352/48700]	Loss: 0.8333	LR: 0.100000
Training Epoch: 11 [4608/48700]	Loss: 0.9913	LR: 0.100000
Training Epoch: 11 [4864/48700]	Loss: 1.0267	LR: 0.100000
Training Epoch: 11 [5120/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 11 [5376/48700]	Loss: 0.9202	LR: 0.100000
Training Epoch: 11 [5632/48700]	Loss: 0.9399	LR: 0.100000
Training Epoch: 11 [5888/48700]	Loss: 0.9817	LR: 0.100000
Training Epoch: 11 [6144/48700]	Loss: 1.0062	LR: 0.100000
Training Epoch: 11 [6400/48700]	Loss: 1.0569	LR: 0.100000
Training Epoch: 11 [6656/48700]	Loss: 0.9993	LR: 0.100000
Training Epoch: 11 [6912/48700]	Loss: 0.9663	LR: 0.100000
Training Epoch: 11 [7168/48700]	Loss: 0.9628	LR: 0.100000
Training Epoch: 11 [7424/48700]	Loss: 1.0163	LR: 0.100000
Training Epoch: 11 [7680/48700]	Loss: 0.9356	LR: 0.100000
Training Epoch: 11 [7936/48700]	Loss: 1.0422	LR: 0.100000
Training Epoch: 11 [8192/48700]	Loss: 0.8420	LR: 0.100000
Training Epoch: 11 [8448/48700]	Loss: 0.9652	LR: 0.100000
Training Epoch: 11 [8704/48700]	Loss: 1.0630	LR: 0.100000
Training Epoch: 11 [8960/48700]	Loss: 0.8897	LR: 0.100000
Training Epoch: 11 [9216/48700]	Loss: 1.0663	LR: 0.100000
Training Epoch: 11 [9472/48700]	Loss: 0.7955	LR: 0.100000
Training Epoch: 11 [9728/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 11 [9984/48700]	Loss: 0.9435	LR: 0.100000
Training Epoch: 11 [10240/48700]	Loss: 1.0351	LR: 0.100000
Training Epoch: 11 [10496/48700]	Loss: 1.2358	LR: 0.100000
Training Epoch: 11 [10752/48700]	Loss: 0.9240	LR: 0.100000
Training Epoch: 11 [11008/48700]	Loss: 0.9810	LR: 0.100000
Training Epoch: 11 [11264/48700]	Loss: 0.9798	LR: 0.100000
Training Epoch: 11 [11520/48700]	Loss: 1.1925	LR: 0.100000
Training Epoch: 11 [11776/48700]	Loss: 1.0279	LR: 0.100000
Training Epoch: 11 [12032/48700]	Loss: 0.9340	LR: 0.100000
Training Epoch: 11 [12288/48700]	Loss: 0.8935	LR: 0.100000
Training Epoch: 11 [12544/48700]	Loss: 0.9751	LR: 0.100000
Training Epoch: 11 [12800/48700]	Loss: 0.9662	LR: 0.100000
Training Epoch: 11 [13056/48700]	Loss: 1.0036	LR: 0.100000
Training Epoch: 11 [13312/48700]	Loss: 1.0172	LR: 0.100000
Training Epoch: 11 [13568/48700]	Loss: 0.9245	LR: 0.100000
Training Epoch: 11 [13824/48700]	Loss: 1.0765	LR: 0.100000
Training Epoch: 11 [14080/48700]	Loss: 0.9677	LR: 0.100000
Training Epoch: 11 [14336/48700]	Loss: 0.8747	LR: 0.100000
Training Epoch: 11 [14592/48700]	Loss: 0.9737	LR: 0.100000
Training Epoch: 11 [14848/48700]	Loss: 0.8933	LR: 0.100000
Training Epoch: 11 [15104/48700]	Loss: 1.1100	LR: 0.100000
Training Epoch: 11 [15360/48700]	Loss: 1.0318	LR: 0.100000
Training Epoch: 11 [15616/48700]	Loss: 0.9882	LR: 0.100000
Training Epoch: 11 [15872/48700]	Loss: 1.0877	LR: 0.100000
Training Epoch: 11 [16128/48700]	Loss: 1.0431	LR: 0.100000
Training Epoch: 11 [16384/48700]	Loss: 1.2111	LR: 0.100000
Training Epoch: 11 [16640/48700]	Loss: 0.9548	LR: 0.100000
Training Epoch: 11 [16896/48700]	Loss: 0.9500	LR: 0.100000
Training Epoch: 11 [17152/48700]	Loss: 1.0944	LR: 0.100000
Training Epoch: 11 [17408/48700]	Loss: 0.9228	LR: 0.100000
Training Epoch: 11 [17664/48700]	Loss: 0.9655	LR: 0.100000
Training Epoch: 11 [17920/48700]	Loss: 0.9776	LR: 0.100000
Training Epoch: 11 [18176/48700]	Loss: 0.9943	LR: 0.100000
Training Epoch: 11 [18432/48700]	Loss: 1.0270	LR: 0.100000
Training Epoch: 11 [18688/48700]	Loss: 1.0461	LR: 0.100000
Training Epoch: 11 [18944/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 11 [19200/48700]	Loss: 1.0078	LR: 0.100000
Training Epoch: 11 [19456/48700]	Loss: 0.9111	LR: 0.100000
Training Epoch: 11 [19712/48700]	Loss: 0.9479	LR: 0.100000
Training Epoch: 11 [19968/48700]	Loss: 1.0295	LR: 0.100000
Training Epoch: 11 [20224/48700]	Loss: 1.0684	LR: 0.100000
Training Epoch: 11 [20480/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 11 [20736/48700]	Loss: 1.0734	LR: 0.100000
Training Epoch: 11 [20992/48700]	Loss: 1.0978	LR: 0.100000
Training Epoch: 11 [21248/48700]	Loss: 0.8809	LR: 0.100000
Training Epoch: 11 [21504/48700]	Loss: 1.0774	LR: 0.100000
Training Epoch: 11 [21760/48700]	Loss: 0.8829	LR: 0.100000
Training Epoch: 11 [22016/48700]	Loss: 1.0341	LR: 0.100000
Training Epoch: 11 [22272/48700]	Loss: 1.0769	LR: 0.100000
Training Epoch: 11 [22528/48700]	Loss: 1.0695	LR: 0.100000
Training Epoch: 11 [22784/48700]	Loss: 0.9616	LR: 0.100000
Training Epoch: 11 [23040/48700]	Loss: 1.0876	LR: 0.100000
Training Epoch: 11 [23296/48700]	Loss: 0.9780	LR: 0.100000
Training Epoch: 11 [23552/48700]	Loss: 0.9233	LR: 0.100000
Training Epoch: 11 [23808/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 11 [24064/48700]	Loss: 0.9945	LR: 0.100000
Training Epoch: 11 [24320/48700]	Loss: 1.0129	LR: 0.100000
Training Epoch: 11 [24576/48700]	Loss: 0.9763	LR: 0.100000
Training Epoch: 11 [24832/48700]	Loss: 1.1472	LR: 0.100000
Training Epoch: 11 [25088/48700]	Loss: 1.1062	LR: 0.100000
Training Epoch: 11 [25344/48700]	Loss: 0.9045	LR: 0.100000
Training Epoch: 11 [25600/48700]	Loss: 0.9973	LR: 0.100000
Training Epoch: 11 [25856/48700]	Loss: 1.0634	LR: 0.100000
Training Epoch: 11 [26112/48700]	Loss: 1.1398	LR: 0.100000
Training Epoch: 11 [26368/48700]	Loss: 1.0817	LR: 0.100000
Training Epoch: 11 [26624/48700]	Loss: 0.9769	LR: 0.100000
Training Epoch: 11 [26880/48700]	Loss: 1.0694	LR: 0.100000
Training Epoch: 11 [27136/48700]	Loss: 0.9889	LR: 0.100000
Training Epoch: 11 [27392/48700]	Loss: 0.9142	LR: 0.100000
Training Epoch: 11 [27648/48700]	Loss: 0.8916	LR: 0.100000
Training Epoch: 11 [27904/48700]	Loss: 0.9698	LR: 0.100000
Training Epoch: 11 [28160/48700]	Loss: 1.1100	LR: 0.100000
Training Epoch: 11 [28416/48700]	Loss: 0.9623	LR: 0.100000
Training Epoch: 11 [28672/48700]	Loss: 1.1033	LR: 0.100000
Training Epoch: 11 [28928/48700]	Loss: 1.1064	LR: 0.100000
Training Epoch: 11 [29184/48700]	Loss: 1.0709	LR: 0.100000
Training Epoch: 11 [29440/48700]	Loss: 1.0262	LR: 0.100000
Training Epoch: 11 [29696/48700]	Loss: 0.9836	LR: 0.100000
Training Epoch: 11 [29952/48700]	Loss: 1.0734	LR: 0.100000
Training Epoch: 11 [30208/48700]	Loss: 1.0322	LR: 0.100000
Training Epoch: 11 [30464/48700]	Loss: 1.0275	LR: 0.100000
Training Epoch: 11 [30720/48700]	Loss: 1.0365	LR: 0.100000
Training Epoch: 11 [30976/48700]	Loss: 0.9495	LR: 0.100000
Training Epoch: 11 [31232/48700]	Loss: 0.9684	LR: 0.100000
Training Epoch: 11 [31488/48700]	Loss: 0.8452	LR: 0.100000
Training Epoch: 11 [31744/48700]	Loss: 0.9415	LR: 0.100000
Training Epoch: 11 [32000/48700]	Loss: 1.0004	LR: 0.100000
Training Epoch: 11 [32256/48700]	Loss: 0.9586	LR: 0.100000
Training Epoch: 11 [32512/48700]	Loss: 0.9824	LR: 0.100000
Training Epoch: 11 [32768/48700]	Loss: 0.9813	LR: 0.100000
Training Epoch: 11 [33024/48700]	Loss: 0.9964	LR: 0.100000
Training Epoch: 11 [33280/48700]	Loss: 1.1173	LR: 0.100000
Training Epoch: 11 [33536/48700]	Loss: 0.9614	LR: 0.100000
Training Epoch: 11 [33792/48700]	Loss: 0.9147	LR: 0.100000
Training Epoch: 11 [34048/48700]	Loss: 0.9051	LR: 0.100000
Training Epoch: 11 [34304/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 11 [34560/48700]	Loss: 0.9900	LR: 0.100000
Training Epoch: 11 [34816/48700]	Loss: 1.1239	LR: 0.100000
Training Epoch: 11 [35072/48700]	Loss: 1.0082	LR: 0.100000
Training Epoch: 11 [35328/48700]	Loss: 1.0249	LR: 0.100000
Training Epoch: 11 [35584/48700]	Loss: 0.9251	LR: 0.100000
Training Epoch: 11 [35840/48700]	Loss: 0.9827	LR: 0.100000
Training Epoch: 11 [36096/48700]	Loss: 1.1115	LR: 0.100000
Training Epoch: 11 [36352/48700]	Loss: 1.1078	LR: 0.100000
Training Epoch: 11 [36608/48700]	Loss: 0.8949	LR: 0.100000
Training Epoch: 11 [36864/48700]	Loss: 1.0607	LR: 0.100000
Training Epoch: 11 [37120/48700]	Loss: 0.9039	LR: 0.100000
Training Epoch: 11 [37376/48700]	Loss: 1.0424	LR: 0.100000
Training Epoch: 11 [37632/48700]	Loss: 0.9261	LR: 0.100000
Training Epoch: 11 [37888/48700]	Loss: 0.8715	LR: 0.100000
Training Epoch: 11 [38144/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 11 [38400/48700]	Loss: 0.9875	LR: 0.100000
Training Epoch: 11 [38656/48700]	Loss: 1.0578	LR: 0.100000
Training Epoch: 11 [38912/48700]	Loss: 1.0793	LR: 0.100000
Training Epoch: 11 [39168/48700]	Loss: 0.9537	LR: 0.100000
Training Epoch: 11 [39424/48700]	Loss: 1.0384	LR: 0.100000
Training Epoch: 11 [39680/48700]	Loss: 0.9925	LR: 0.100000
Training Epoch: 11 [39936/48700]	Loss: 0.9281	LR: 0.100000
Training Epoch: 11 [40192/48700]	Loss: 1.1587	LR: 0.100000
Training Epoch: 11 [40448/48700]	Loss: 1.0428	LR: 0.100000
Training Epoch: 11 [40704/48700]	Loss: 1.0518	LR: 0.100000
Training Epoch: 11 [40960/48700]	Loss: 1.0428	LR: 0.100000
Training Epoch: 11 [41216/48700]	Loss: 0.9213	LR: 0.100000
Training Epoch: 11 [41472/48700]	Loss: 1.0116	LR: 0.100000
Training Epoch: 11 [41728/48700]	Loss: 1.0675	LR: 0.100000
Training Epoch: 11 [41984/48700]	Loss: 0.9396	LR: 0.100000
Training Epoch: 11 [42240/48700]	Loss: 1.0797	LR: 0.100000
Training Epoch: 11 [42496/48700]	Loss: 0.9855	LR: 0.100000
Training Epoch: 11 [42752/48700]	Loss: 0.9466	LR: 0.100000
Training Epoch: 11 [43008/48700]	Loss: 1.0572	LR: 0.100000
Training Epoch: 11 [43264/48700]	Loss: 1.0961	LR: 0.100000
Training Epoch: 11 [43520/48700]	Loss: 0.9249	LR: 0.100000
Training Epoch: 11 [43776/48700]	Loss: 0.9933	LR: 0.100000
Training Epoch: 11 [44032/48700]	Loss: 0.9841	LR: 0.100000
Training Epoch: 11 [44288/48700]	Loss: 1.0366	LR: 0.100000
Training Epoch: 11 [44544/48700]	Loss: 1.0257	LR: 0.100000
Training Epoch: 11 [44800/48700]	Loss: 0.9019	LR: 0.100000
Training Epoch: 11 [45056/48700]	Loss: 0.9497	LR: 0.100000
Training Epoch: 11 [45312/48700]	Loss: 1.0485	LR: 0.100000
Training Epoch: 11 [45568/48700]	Loss: 0.9096	LR: 0.100000
Training Epoch: 11 [45824/48700]	Loss: 1.0864	LR: 0.100000
Training Epoch: 11 [46080/48700]	Loss: 0.9323	LR: 0.100000
Training Epoch: 11 [46336/48700]	Loss: 1.0770	LR: 0.100000
Training Epoch: 11 [46592/48700]	Loss: 1.0016	LR: 0.100000
Training Epoch: 11 [46848/48700]	Loss: 0.9425	LR: 0.100000
Training Epoch: 11 [47104/48700]	Loss: 1.0789	LR: 0.100000
Training Epoch: 11 [47360/48700]	Loss: 1.1266	LR: 0.100000
Training Epoch: 11 [47616/48700]	Loss: 1.0169	LR: 0.100000
Training Epoch: 11 [47872/48700]	Loss: 1.0955	LR: 0.100000
Training Epoch: 11 [48128/48700]	Loss: 0.9978	LR: 0.100000
Training Epoch: 11 [48384/48700]	Loss: 1.0014	LR: 0.100000
Training Epoch: 11 [48640/48700]	Loss: 1.0112	LR: 0.100000
Training Epoch: 11 [48700/48700]	Loss: 1.2841	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0048, Train Accuracy: 0.6736
Epoch 11 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0053, Accuracy: 0.6009, Time consumed:0.89s
Training Epoch: 12 [256/48700]	Loss: 1.0393	LR: 0.100000
Training Epoch: 12 [512/48700]	Loss: 0.9426	LR: 0.100000
Training Epoch: 12 [768/48700]	Loss: 0.9696	LR: 0.100000
Training Epoch: 12 [1024/48700]	Loss: 1.0457	LR: 0.100000
Training Epoch: 12 [1280/48700]	Loss: 0.9875	LR: 0.100000
Training Epoch: 12 [1536/48700]	Loss: 0.9001	LR: 0.100000
Training Epoch: 12 [1792/48700]	Loss: 1.1734	LR: 0.100000
Training Epoch: 12 [2048/48700]	Loss: 1.0063	LR: 0.100000
Training Epoch: 12 [2304/48700]	Loss: 0.9899	LR: 0.100000
Training Epoch: 12 [2560/48700]	Loss: 1.1399	LR: 0.100000
Training Epoch: 12 [2816/48700]	Loss: 0.9947	LR: 0.100000
Training Epoch: 12 [3072/48700]	Loss: 0.9411	LR: 0.100000
Training Epoch: 12 [3328/48700]	Loss: 1.1121	LR: 0.100000
Training Epoch: 12 [3584/48700]	Loss: 0.9433	LR: 0.100000
Training Epoch: 12 [3840/48700]	Loss: 0.9709	LR: 0.100000
Training Epoch: 12 [4096/48700]	Loss: 1.0543	LR: 0.100000
Training Epoch: 12 [4352/48700]	Loss: 0.9312	LR: 0.100000
Training Epoch: 12 [4608/48700]	Loss: 0.9539	LR: 0.100000
Training Epoch: 12 [4864/48700]	Loss: 0.9740	LR: 0.100000
Training Epoch: 12 [5120/48700]	Loss: 0.9075	LR: 0.100000
Training Epoch: 12 [5376/48700]	Loss: 0.9428	LR: 0.100000
Training Epoch: 12 [5632/48700]	Loss: 0.9457	LR: 0.100000
Training Epoch: 12 [5888/48700]	Loss: 1.0440	LR: 0.100000
Training Epoch: 12 [6144/48700]	Loss: 0.8919	LR: 0.100000
Training Epoch: 12 [6400/48700]	Loss: 0.9564	LR: 0.100000
Training Epoch: 12 [6656/48700]	Loss: 0.9323	LR: 0.100000
Training Epoch: 12 [6912/48700]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [7168/48700]	Loss: 0.9044	LR: 0.100000
Training Epoch: 12 [7424/48700]	Loss: 0.9934	LR: 0.100000
Training Epoch: 12 [7680/48700]	Loss: 1.1509	LR: 0.100000
Training Epoch: 12 [7936/48700]	Loss: 0.9484	LR: 0.100000
Training Epoch: 12 [8192/48700]	Loss: 0.8827	LR: 0.100000
Training Epoch: 12 [8448/48700]	Loss: 0.8177	LR: 0.100000
Training Epoch: 12 [8704/48700]	Loss: 0.9427	LR: 0.100000
Training Epoch: 12 [8960/48700]	Loss: 0.9626	LR: 0.100000
Training Epoch: 12 [9216/48700]	Loss: 0.9397	LR: 0.100000
Training Epoch: 12 [9472/48700]	Loss: 1.0689	LR: 0.100000
Training Epoch: 12 [9728/48700]	Loss: 0.9034	LR: 0.100000
Training Epoch: 12 [9984/48700]	Loss: 0.8893	LR: 0.100000
Training Epoch: 12 [10240/48700]	Loss: 0.9230	LR: 0.100000
Training Epoch: 12 [10496/48700]	Loss: 0.9036	LR: 0.100000
Training Epoch: 12 [10752/48700]	Loss: 1.0789	LR: 0.100000
Training Epoch: 12 [11008/48700]	Loss: 0.9215	LR: 0.100000
Training Epoch: 12 [11264/48700]	Loss: 0.9070	LR: 0.100000
Training Epoch: 12 [11520/48700]	Loss: 0.9098	LR: 0.100000
Training Epoch: 12 [11776/48700]	Loss: 0.8662	LR: 0.100000
Training Epoch: 12 [12032/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 12 [12288/48700]	Loss: 0.9889	LR: 0.100000
Training Epoch: 12 [12544/48700]	Loss: 0.8847	LR: 0.100000
Training Epoch: 12 [12800/48700]	Loss: 0.9061	LR: 0.100000
Training Epoch: 12 [13056/48700]	Loss: 0.8366	LR: 0.100000
Training Epoch: 12 [13312/48700]	Loss: 1.1032	LR: 0.100000
Training Epoch: 12 [13568/48700]	Loss: 0.8916	LR: 0.100000
Training Epoch: 12 [13824/48700]	Loss: 1.0784	LR: 0.100000
Training Epoch: 12 [14080/48700]	Loss: 0.9187	LR: 0.100000
Training Epoch: 12 [14336/48700]	Loss: 0.9130	LR: 0.100000
Training Epoch: 12 [14592/48700]	Loss: 1.0317	LR: 0.100000
Training Epoch: 12 [14848/48700]	Loss: 0.9642	LR: 0.100000
Training Epoch: 12 [15104/48700]	Loss: 1.0245	LR: 0.100000
Training Epoch: 12 [15360/48700]	Loss: 0.9134	LR: 0.100000
Training Epoch: 12 [15616/48700]	Loss: 0.8771	LR: 0.100000
Training Epoch: 12 [15872/48700]	Loss: 0.9351	LR: 0.100000
Training Epoch: 12 [16128/48700]	Loss: 0.8473	LR: 0.100000
Training Epoch: 12 [16384/48700]	Loss: 0.9182	LR: 0.100000
Training Epoch: 12 [16640/48700]	Loss: 0.9757	LR: 0.100000
Training Epoch: 12 [16896/48700]	Loss: 1.0151	LR: 0.100000
Training Epoch: 12 [17152/48700]	Loss: 0.9083	LR: 0.100000
Training Epoch: 12 [17408/48700]	Loss: 0.9337	LR: 0.100000
Training Epoch: 12 [17664/48700]	Loss: 0.9021	LR: 0.100000
Training Epoch: 12 [17920/48700]	Loss: 0.9739	LR: 0.100000
Training Epoch: 12 [18176/48700]	Loss: 0.9948	LR: 0.100000
Training Epoch: 12 [18432/48700]	Loss: 0.9861	LR: 0.100000
Training Epoch: 12 [18688/48700]	Loss: 0.9208	LR: 0.100000
Training Epoch: 12 [18944/48700]	Loss: 1.0267	LR: 0.100000
Training Epoch: 12 [19200/48700]	Loss: 1.0230	LR: 0.100000
Training Epoch: 12 [19456/48700]	Loss: 0.9072	LR: 0.100000
Training Epoch: 12 [19712/48700]	Loss: 0.9076	LR: 0.100000
Training Epoch: 12 [19968/48700]	Loss: 1.0167	LR: 0.100000
Training Epoch: 12 [20224/48700]	Loss: 0.9707	LR: 0.100000
Training Epoch: 12 [20480/48700]	Loss: 0.8860	LR: 0.100000
Training Epoch: 12 [20736/48700]	Loss: 1.0275	LR: 0.100000
Training Epoch: 12 [20992/48700]	Loss: 0.9615	LR: 0.100000
Training Epoch: 12 [21248/48700]	Loss: 0.8828	LR: 0.100000
Training Epoch: 12 [21504/48700]	Loss: 0.8751	LR: 0.100000
Training Epoch: 12 [21760/48700]	Loss: 0.9155	LR: 0.100000
Training Epoch: 12 [22016/48700]	Loss: 1.0771	LR: 0.100000
Training Epoch: 12 [22272/48700]	Loss: 1.1342	LR: 0.100000
Training Epoch: 12 [22528/48700]	Loss: 0.9719	LR: 0.100000
Training Epoch: 12 [22784/48700]	Loss: 0.8682	LR: 0.100000
Training Epoch: 12 [23040/48700]	Loss: 0.8987	LR: 0.100000
Training Epoch: 12 [23296/48700]	Loss: 0.9239	LR: 0.100000
Training Epoch: 12 [23552/48700]	Loss: 1.0330	LR: 0.100000
Training Epoch: 12 [23808/48700]	Loss: 1.0649	LR: 0.100000
Training Epoch: 12 [24064/48700]	Loss: 1.1033	LR: 0.100000
Training Epoch: 12 [24320/48700]	Loss: 1.0187	LR: 0.100000
Training Epoch: 12 [24576/48700]	Loss: 0.9909	LR: 0.100000
Training Epoch: 12 [24832/48700]	Loss: 0.9194	LR: 0.100000
Training Epoch: 12 [25088/48700]	Loss: 0.8735	LR: 0.100000
Training Epoch: 12 [25344/48700]	Loss: 1.0770	LR: 0.100000
Training Epoch: 12 [25600/48700]	Loss: 0.9802	LR: 0.100000
Training Epoch: 12 [25856/48700]	Loss: 0.9429	LR: 0.100000
Training Epoch: 12 [26112/48700]	Loss: 0.9238	LR: 0.100000
Training Epoch: 12 [26368/48700]	Loss: 0.8753	LR: 0.100000
Training Epoch: 12 [26624/48700]	Loss: 0.8722	LR: 0.100000
Training Epoch: 12 [26880/48700]	Loss: 0.9335	LR: 0.100000
Training Epoch: 12 [27136/48700]	Loss: 0.9172	LR: 0.100000
Training Epoch: 12 [27392/48700]	Loss: 1.1048	LR: 0.100000
Training Epoch: 12 [27648/48700]	Loss: 0.9516	LR: 0.100000
Training Epoch: 12 [27904/48700]	Loss: 0.9338	LR: 0.100000
Training Epoch: 12 [28160/48700]	Loss: 0.9294	LR: 0.100000
Training Epoch: 12 [28416/48700]	Loss: 0.9804	LR: 0.100000
Training Epoch: 12 [28672/48700]	Loss: 0.8911	LR: 0.100000
Training Epoch: 12 [28928/48700]	Loss: 0.8753	LR: 0.100000
Training Epoch: 12 [29184/48700]	Loss: 0.9453	LR: 0.100000
Training Epoch: 12 [29440/48700]	Loss: 0.9259	LR: 0.100000
Training Epoch: 12 [29696/48700]	Loss: 0.9382	LR: 0.100000
Training Epoch: 12 [29952/48700]	Loss: 0.8923	LR: 0.100000
Training Epoch: 12 [30208/48700]	Loss: 0.9192	LR: 0.100000
Training Epoch: 12 [30464/48700]	Loss: 0.9749	LR: 0.100000
Training Epoch: 12 [30720/48700]	Loss: 1.0180	LR: 0.100000
Training Epoch: 12 [30976/48700]	Loss: 0.8502	LR: 0.100000
Training Epoch: 12 [31232/48700]	Loss: 0.8894	LR: 0.100000
Training Epoch: 12 [31488/48700]	Loss: 0.9130	LR: 0.100000
Training Epoch: 12 [31744/48700]	Loss: 0.9363	LR: 0.100000
Training Epoch: 12 [32000/48700]	Loss: 0.8230	LR: 0.100000
Training Epoch: 12 [32256/48700]	Loss: 0.8790	LR: 0.100000
Training Epoch: 12 [32512/48700]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [32768/48700]	Loss: 0.9680	LR: 0.100000
Training Epoch: 12 [33024/48700]	Loss: 0.9833	LR: 0.100000
Training Epoch: 12 [33280/48700]	Loss: 0.9520	LR: 0.100000
Training Epoch: 12 [33536/48700]	Loss: 1.0065	LR: 0.100000
Training Epoch: 12 [33792/48700]	Loss: 0.9552	LR: 0.100000
Training Epoch: 12 [34048/48700]	Loss: 0.9115	LR: 0.100000
Training Epoch: 12 [34304/48700]	Loss: 1.0125	LR: 0.100000
Training Epoch: 12 [34560/48700]	Loss: 0.9251	LR: 0.100000
Training Epoch: 12 [34816/48700]	Loss: 0.9030	LR: 0.100000
Training Epoch: 12 [35072/48700]	Loss: 1.0674	LR: 0.100000
Training Epoch: 12 [35328/48700]	Loss: 0.8992	LR: 0.100000
Training Epoch: 12 [35584/48700]	Loss: 0.8873	LR: 0.100000
Training Epoch: 12 [35840/48700]	Loss: 1.1030	LR: 0.100000
Training Epoch: 12 [36096/48700]	Loss: 1.0582	LR: 0.100000
Training Epoch: 12 [36352/48700]	Loss: 0.8609	LR: 0.100000
Training Epoch: 12 [36608/48700]	Loss: 1.1639	LR: 0.100000
Training Epoch: 12 [36864/48700]	Loss: 1.1319	LR: 0.100000
Training Epoch: 12 [37120/48700]	Loss: 0.8472	LR: 0.100000
Training Epoch: 12 [37376/48700]	Loss: 0.9976	LR: 0.100000
Training Epoch: 12 [37632/48700]	Loss: 0.9787	LR: 0.100000
Training Epoch: 12 [37888/48700]	Loss: 0.9486	LR: 0.100000
Training Epoch: 12 [38144/48700]	Loss: 0.9934	LR: 0.100000
Training Epoch: 12 [38400/48700]	Loss: 1.0475	LR: 0.100000
Training Epoch: 12 [38656/48700]	Loss: 1.0740	LR: 0.100000
Training Epoch: 12 [38912/48700]	Loss: 0.9670	LR: 0.100000
Training Epoch: 12 [39168/48700]	Loss: 1.0660	LR: 0.100000
Training Epoch: 12 [39424/48700]	Loss: 1.1124	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 0.9564	LR: 0.100000
Training Epoch: 12 [39936/48700]	Loss: 0.9896	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 0.9217	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 1.0039	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 1.1069	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 1.0403	LR: 0.100000
Training Epoch: 12 [41472/48700]	Loss: 0.9480	LR: 0.100000
Training Epoch: 12 [41728/48700]	Loss: 0.9992	LR: 0.100000
Training Epoch: 12 [41984/48700]	Loss: 1.0767	LR: 0.100000
Training Epoch: 12 [42240/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 12 [42496/48700]	Loss: 0.9850	LR: 0.100000
Training Epoch: 12 [42752/48700]	Loss: 1.0996	LR: 0.100000
Training Epoch: 12 [43008/48700]	Loss: 0.9080	LR: 0.100000
Training Epoch: 12 [43264/48700]	Loss: 0.9536	LR: 0.100000
Training Epoch: 12 [43520/48700]	Loss: 1.0375	LR: 0.100000
Training Epoch: 12 [43776/48700]	Loss: 0.9606	LR: 0.100000
Training Epoch: 12 [44032/48700]	Loss: 0.8975	LR: 0.100000
Training Epoch: 12 [44288/48700]	Loss: 0.9238	LR: 0.100000
Training Epoch: 12 [44544/48700]	Loss: 1.0958	LR: 0.100000
Training Epoch: 12 [44800/48700]	Loss: 0.9451	LR: 0.100000
Training Epoch: 12 [45056/48700]	Loss: 0.8835	LR: 0.100000
Training Epoch: 12 [45312/48700]	Loss: 1.0280	LR: 0.100000
Training Epoch: 12 [45568/48700]	Loss: 0.9394	LR: 0.100000
Training Epoch: 12 [45824/48700]	Loss: 0.8818	LR: 0.100000
Training Epoch: 12 [46080/48700]	Loss: 0.8825	LR: 0.100000
Training Epoch: 12 [46336/48700]	Loss: 0.8231	LR: 0.100000
Training Epoch: 12 [46592/48700]	Loss: 0.8535	LR: 0.100000
Training Epoch: 12 [46848/48700]	Loss: 0.9843	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 1.0447	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 0.9641	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 0.9727	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 0.9409	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 0.8342	LR: 0.100000
Training Epoch: 12 [48384/48700]	Loss: 0.9506	LR: 0.100000
Training Epoch: 12 [48640/48700]	Loss: 1.0052	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 1.0680	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9625, Train Accuracy: 0.6902
Epoch 12 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6518, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.8371	LR: 0.100000
Training Epoch: 13 [512/48700]	Loss: 0.8930	LR: 0.100000
Training Epoch: 13 [768/48700]	Loss: 0.9070	LR: 0.100000
Training Epoch: 13 [1024/48700]	Loss: 0.8783	LR: 0.100000
Training Epoch: 13 [1280/48700]	Loss: 0.9781	LR: 0.100000
Training Epoch: 13 [1536/48700]	Loss: 0.9454	LR: 0.100000
Training Epoch: 13 [1792/48700]	Loss: 0.7610	LR: 0.100000
Training Epoch: 13 [2048/48700]	Loss: 1.1029	LR: 0.100000
Training Epoch: 13 [2304/48700]	Loss: 0.9327	LR: 0.100000
Training Epoch: 13 [2560/48700]	Loss: 0.8720	LR: 0.100000
Training Epoch: 13 [2816/48700]	Loss: 1.0721	LR: 0.100000
Training Epoch: 13 [3072/48700]	Loss: 0.9896	LR: 0.100000
Training Epoch: 13 [3328/48700]	Loss: 1.0004	LR: 0.100000
Training Epoch: 13 [3584/48700]	Loss: 0.9457	LR: 0.100000
Training Epoch: 13 [3840/48700]	Loss: 0.9623	LR: 0.100000
Training Epoch: 13 [4096/48700]	Loss: 0.7964	LR: 0.100000
Training Epoch: 13 [4352/48700]	Loss: 1.0002	LR: 0.100000
Training Epoch: 13 [4608/48700]	Loss: 0.9648	LR: 0.100000
Training Epoch: 13 [4864/48700]	Loss: 0.9496	LR: 0.100000
Training Epoch: 13 [5120/48700]	Loss: 0.9325	LR: 0.100000
Training Epoch: 13 [5376/48700]	Loss: 0.9330	LR: 0.100000
Training Epoch: 13 [5632/48700]	Loss: 0.9239	LR: 0.100000
Training Epoch: 13 [5888/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 13 [6144/48700]	Loss: 0.8636	LR: 0.100000
Training Epoch: 13 [6400/48700]	Loss: 0.8107	LR: 0.100000
Training Epoch: 13 [6656/48700]	Loss: 0.9583	LR: 0.100000
Training Epoch: 13 [6912/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 13 [7168/48700]	Loss: 0.7318	LR: 0.100000
Training Epoch: 13 [7424/48700]	Loss: 0.9528	LR: 0.100000
Training Epoch: 13 [7680/48700]	Loss: 0.9891	LR: 0.100000
Training Epoch: 13 [7936/48700]	Loss: 0.9701	LR: 0.100000
Training Epoch: 13 [8192/48700]	Loss: 0.8453	LR: 0.100000
Training Epoch: 13 [8448/48700]	Loss: 0.9540	LR: 0.100000
Training Epoch: 13 [8704/48700]	Loss: 0.9620	LR: 0.100000
Training Epoch: 13 [8960/48700]	Loss: 0.9428	LR: 0.100000
Training Epoch: 13 [9216/48700]	Loss: 0.9718	LR: 0.100000
Training Epoch: 13 [9472/48700]	Loss: 0.8926	LR: 0.100000
Training Epoch: 13 [9728/48700]	Loss: 0.8093	LR: 0.100000
Training Epoch: 13 [9984/48700]	Loss: 0.9059	LR: 0.100000
Training Epoch: 13 [10240/48700]	Loss: 1.0090	LR: 0.100000
Training Epoch: 13 [10496/48700]	Loss: 0.7858	LR: 0.100000
Training Epoch: 13 [10752/48700]	Loss: 0.9111	LR: 0.100000
Training Epoch: 13 [11008/48700]	Loss: 0.8979	LR: 0.100000
Training Epoch: 13 [11264/48700]	Loss: 1.0135	LR: 0.100000
Training Epoch: 13 [11520/48700]	Loss: 0.9854	LR: 0.100000
Training Epoch: 13 [11776/48700]	Loss: 0.8176	LR: 0.100000
Training Epoch: 13 [12032/48700]	Loss: 1.0180	LR: 0.100000
Training Epoch: 13 [12288/48700]	Loss: 1.0020	LR: 0.100000
Training Epoch: 13 [12544/48700]	Loss: 0.9685	LR: 0.100000
Training Epoch: 13 [12800/48700]	Loss: 0.9958	LR: 0.100000
Training Epoch: 13 [13056/48700]	Loss: 0.8932	LR: 0.100000
Training Epoch: 13 [13312/48700]	Loss: 0.9047	LR: 0.100000
Training Epoch: 13 [13568/48700]	Loss: 0.8911	LR: 0.100000
Training Epoch: 13 [13824/48700]	Loss: 1.0085	LR: 0.100000
Training Epoch: 13 [14080/48700]	Loss: 0.8957	LR: 0.100000
Training Epoch: 13 [14336/48700]	Loss: 0.8820	LR: 0.100000
Training Epoch: 13 [14592/48700]	Loss: 0.8347	LR: 0.100000
Training Epoch: 13 [14848/48700]	Loss: 0.9819	LR: 0.100000
Training Epoch: 13 [15104/48700]	Loss: 0.8679	LR: 0.100000
Training Epoch: 13 [15360/48700]	Loss: 0.8481	LR: 0.100000
Training Epoch: 13 [15616/48700]	Loss: 0.9268	LR: 0.100000
Training Epoch: 13 [15872/48700]	Loss: 0.8932	LR: 0.100000
Training Epoch: 13 [16128/48700]	Loss: 0.8228	LR: 0.100000
Training Epoch: 13 [16384/48700]	Loss: 0.8940	LR: 0.100000
Training Epoch: 13 [16640/48700]	Loss: 0.8140	LR: 0.100000
Training Epoch: 13 [16896/48700]	Loss: 0.7827	LR: 0.100000
Training Epoch: 13 [17152/48700]	Loss: 0.7972	LR: 0.100000
Training Epoch: 13 [17408/48700]	Loss: 0.8976	LR: 0.100000
Training Epoch: 13 [17664/48700]	Loss: 0.9705	LR: 0.100000
Training Epoch: 13 [17920/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 13 [18176/48700]	Loss: 0.9640	LR: 0.100000
Training Epoch: 13 [18432/48700]	Loss: 0.8955	LR: 0.100000
Training Epoch: 13 [18688/48700]	Loss: 0.9776	LR: 0.100000
Training Epoch: 13 [18944/48700]	Loss: 0.8582	LR: 0.100000
Training Epoch: 13 [19200/48700]	Loss: 0.8356	LR: 0.100000
Training Epoch: 13 [19456/48700]	Loss: 0.8849	LR: 0.100000
Training Epoch: 13 [19712/48700]	Loss: 1.0669	LR: 0.100000
Training Epoch: 13 [19968/48700]	Loss: 0.9537	LR: 0.100000
Training Epoch: 13 [20224/48700]	Loss: 0.9765	LR: 0.100000
Training Epoch: 13 [20480/48700]	Loss: 0.9276	LR: 0.100000
Training Epoch: 13 [20736/48700]	Loss: 0.9377	LR: 0.100000
Training Epoch: 13 [20992/48700]	Loss: 0.9025	LR: 0.100000
Training Epoch: 13 [21248/48700]	Loss: 0.7951	LR: 0.100000
Training Epoch: 13 [21504/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 13 [21760/48700]	Loss: 0.8657	LR: 0.100000
Training Epoch: 13 [22016/48700]	Loss: 0.8882	LR: 0.100000
Training Epoch: 13 [22272/48700]	Loss: 1.0019	LR: 0.100000
Training Epoch: 13 [22528/48700]	Loss: 0.8521	LR: 0.100000
Training Epoch: 13 [22784/48700]	Loss: 0.9438	LR: 0.100000
Training Epoch: 13 [23040/48700]	Loss: 0.9405	LR: 0.100000
Training Epoch: 13 [23296/48700]	Loss: 0.8713	LR: 0.100000
Training Epoch: 13 [23552/48700]	Loss: 0.9363	LR: 0.100000
Training Epoch: 13 [23808/48700]	Loss: 0.8853	LR: 0.100000
Training Epoch: 13 [24064/48700]	Loss: 0.9138	LR: 0.100000
Training Epoch: 13 [24320/48700]	Loss: 0.7513	LR: 0.100000
Training Epoch: 13 [24576/48700]	Loss: 0.8816	LR: 0.100000
Training Epoch: 13 [24832/48700]	Loss: 0.9544	LR: 0.100000
Training Epoch: 13 [25088/48700]	Loss: 1.0105	LR: 0.100000
Training Epoch: 13 [25344/48700]	Loss: 0.9032	LR: 0.100000
Training Epoch: 13 [25600/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 13 [25856/48700]	Loss: 0.9671	LR: 0.100000
Training Epoch: 13 [26112/48700]	Loss: 0.8208	LR: 0.100000
Training Epoch: 13 [26368/48700]	Loss: 0.8317	LR: 0.100000
Training Epoch: 13 [26624/48700]	Loss: 0.8440	LR: 0.100000
Training Epoch: 13 [26880/48700]	Loss: 0.9229	LR: 0.100000
Training Epoch: 13 [27136/48700]	Loss: 1.0221	LR: 0.100000
Training Epoch: 13 [27392/48700]	Loss: 0.9593	LR: 0.100000
Training Epoch: 13 [27648/48700]	Loss: 0.8879	LR: 0.100000
Training Epoch: 13 [27904/48700]	Loss: 1.0561	LR: 0.100000
Training Epoch: 13 [28160/48700]	Loss: 0.8153	LR: 0.100000
Training Epoch: 13 [28416/48700]	Loss: 0.9881	LR: 0.100000
Training Epoch: 13 [28672/48700]	Loss: 1.0263	LR: 0.100000
Training Epoch: 13 [28928/48700]	Loss: 0.9753	LR: 0.100000
Training Epoch: 13 [29184/48700]	Loss: 0.9330	LR: 0.100000
Training Epoch: 13 [29440/48700]	Loss: 0.9496	LR: 0.100000
Training Epoch: 13 [29696/48700]	Loss: 0.8780	LR: 0.100000
Training Epoch: 13 [29952/48700]	Loss: 0.9587	LR: 0.100000
Training Epoch: 13 [30208/48700]	Loss: 0.8915	LR: 0.100000
Training Epoch: 13 [30464/48700]	Loss: 0.9090	LR: 0.100000
Training Epoch: 13 [30720/48700]	Loss: 0.9884	LR: 0.100000
Training Epoch: 13 [30976/48700]	Loss: 0.9727	LR: 0.100000
Training Epoch: 13 [31232/48700]	Loss: 0.9443	LR: 0.100000
Training Epoch: 13 [31488/48700]	Loss: 0.8730	LR: 0.100000
Training Epoch: 13 [31744/48700]	Loss: 0.8864	LR: 0.100000
Training Epoch: 13 [32000/48700]	Loss: 0.8474	LR: 0.100000
Training Epoch: 13 [32256/48700]	Loss: 0.9372	LR: 0.100000
Training Epoch: 13 [32512/48700]	Loss: 0.8000	LR: 0.100000
Training Epoch: 13 [32768/48700]	Loss: 1.0171	LR: 0.100000
Training Epoch: 13 [33024/48700]	Loss: 0.9939	LR: 0.100000
Training Epoch: 13 [33280/48700]	Loss: 0.9444	LR: 0.100000
Training Epoch: 13 [33536/48700]	Loss: 0.8271	LR: 0.100000
Training Epoch: 13 [33792/48700]	Loss: 0.9243	LR: 0.100000
Training Epoch: 13 [34048/48700]	Loss: 0.9432	LR: 0.100000
Training Epoch: 13 [34304/48700]	Loss: 0.9211	LR: 0.100000
Training Epoch: 13 [34560/48700]	Loss: 0.9940	LR: 0.100000
Training Epoch: 13 [34816/48700]	Loss: 0.9673	LR: 0.100000
Training Epoch: 13 [35072/48700]	Loss: 0.9152	LR: 0.100000
Training Epoch: 13 [35328/48700]	Loss: 0.7948	LR: 0.100000
Training Epoch: 13 [35584/48700]	Loss: 1.0520	LR: 0.100000
Training Epoch: 13 [35840/48700]	Loss: 0.9238	LR: 0.100000
Training Epoch: 13 [36096/48700]	Loss: 0.7825	LR: 0.100000
Training Epoch: 13 [36352/48700]	Loss: 0.8301	LR: 0.100000
Training Epoch: 13 [36608/48700]	Loss: 0.9905	LR: 0.100000
Training Epoch: 13 [36864/48700]	Loss: 0.8504	LR: 0.100000
Training Epoch: 13 [37120/48700]	Loss: 0.9991	LR: 0.100000
Training Epoch: 13 [37376/48700]	Loss: 1.0692	LR: 0.100000
Training Epoch: 13 [37632/48700]	Loss: 0.9087	LR: 0.100000
Training Epoch: 13 [37888/48700]	Loss: 0.9010	LR: 0.100000
Training Epoch: 13 [38144/48700]	Loss: 0.9464	LR: 0.100000
Training Epoch: 13 [38400/48700]	Loss: 0.8916	LR: 0.100000
Training Epoch: 13 [38656/48700]	Loss: 0.9498	LR: 0.100000
Training Epoch: 13 [38912/48700]	Loss: 0.8970	LR: 0.100000
Training Epoch: 13 [39168/48700]	Loss: 0.8554	LR: 0.100000
Training Epoch: 13 [39424/48700]	Loss: 0.9801	LR: 0.100000
Training Epoch: 13 [39680/48700]	Loss: 0.8461	LR: 0.100000
Training Epoch: 13 [39936/48700]	Loss: 1.0419	LR: 0.100000
Training Epoch: 13 [40192/48700]	Loss: 0.8290	LR: 0.100000
Training Epoch: 13 [40448/48700]	Loss: 0.8894	LR: 0.100000
Training Epoch: 13 [40704/48700]	Loss: 0.9046	LR: 0.100000
Training Epoch: 13 [40960/48700]	Loss: 0.9952	LR: 0.100000
Training Epoch: 13 [41216/48700]	Loss: 0.8936	LR: 0.100000
Training Epoch: 13 [41472/48700]	Loss: 0.9844	LR: 0.100000
Training Epoch: 13 [41728/48700]	Loss: 0.9494	LR: 0.100000
Training Epoch: 13 [41984/48700]	Loss: 1.0671	LR: 0.100000
Training Epoch: 13 [42240/48700]	Loss: 0.9403	LR: 0.100000
Training Epoch: 13 [42496/48700]	Loss: 0.8132	LR: 0.100000
Training Epoch: 13 [42752/48700]	Loss: 0.9700	LR: 0.100000
Training Epoch: 13 [43008/48700]	Loss: 0.9455	LR: 0.100000
Training Epoch: 13 [43264/48700]	Loss: 0.9745	LR: 0.100000
Training Epoch: 13 [43520/48700]	Loss: 0.9806	LR: 0.100000
Training Epoch: 13 [43776/48700]	Loss: 1.0134	LR: 0.100000
Training Epoch: 13 [44032/48700]	Loss: 0.9796	LR: 0.100000
Training Epoch: 13 [44288/48700]	Loss: 0.8324	LR: 0.100000
Training Epoch: 13 [44544/48700]	Loss: 0.9380	LR: 0.100000
Training Epoch: 13 [44800/48700]	Loss: 0.9373	LR: 0.100000
Training Epoch: 13 [45056/48700]	Loss: 1.0033	LR: 0.100000
Training Epoch: 13 [45312/48700]	Loss: 1.0096	LR: 0.100000
Training Epoch: 13 [45568/48700]	Loss: 1.0962	LR: 0.100000
Training Epoch: 13 [45824/48700]	Loss: 0.8379	LR: 0.100000
Training Epoch: 13 [46080/48700]	Loss: 0.8724	LR: 0.100000
Training Epoch: 13 [46336/48700]	Loss: 0.8476	LR: 0.100000
Training Epoch: 13 [46592/48700]	Loss: 0.9218	LR: 0.100000
Training Epoch: 13 [46848/48700]	Loss: 0.8759	LR: 0.100000
Training Epoch: 13 [47104/48700]	Loss: 0.9078	LR: 0.100000
Training Epoch: 13 [47360/48700]	Loss: 0.8841	LR: 0.100000
Training Epoch: 13 [47616/48700]	Loss: 0.9343	LR: 0.100000
Training Epoch: 13 [47872/48700]	Loss: 0.8531	LR: 0.100000
Training Epoch: 13 [48128/48700]	Loss: 0.7410	LR: 0.100000
Training Epoch: 13 [48384/48700]	Loss: 0.9551	LR: 0.100000
Training Epoch: 13 [48640/48700]	Loss: 0.9488	LR: 0.100000
Training Epoch: 13 [48700/48700]	Loss: 0.9329	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9221, Train Accuracy: 0.7017
Epoch 13 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0042, Accuracy: 0.6693, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.6914	LR: 0.100000
Training Epoch: 14 [512/48700]	Loss: 0.8868	LR: 0.100000
Training Epoch: 14 [768/48700]	Loss: 0.8701	LR: 0.100000
Training Epoch: 14 [1024/48700]	Loss: 0.7968	LR: 0.100000
Training Epoch: 14 [1280/48700]	Loss: 0.8853	LR: 0.100000
Training Epoch: 14 [1536/48700]	Loss: 0.9097	LR: 0.100000
Training Epoch: 14 [1792/48700]	Loss: 0.8037	LR: 0.100000
Training Epoch: 14 [2048/48700]	Loss: 0.9078	LR: 0.100000
Training Epoch: 14 [2304/48700]	Loss: 0.8536	LR: 0.100000
Training Epoch: 14 [2560/48700]	Loss: 0.8429	LR: 0.100000
Training Epoch: 14 [2816/48700]	Loss: 0.8874	LR: 0.100000
Training Epoch: 14 [3072/48700]	Loss: 0.7560	LR: 0.100000
Training Epoch: 14 [3328/48700]	Loss: 0.7513	LR: 0.100000
Training Epoch: 14 [3584/48700]	Loss: 0.9489	LR: 0.100000
Training Epoch: 14 [3840/48700]	Loss: 0.9485	LR: 0.100000
Training Epoch: 14 [4096/48700]	Loss: 0.9503	LR: 0.100000
Training Epoch: 14 [4352/48700]	Loss: 0.8753	LR: 0.100000
Training Epoch: 14 [4608/48700]	Loss: 0.9152	LR: 0.100000
Training Epoch: 14 [4864/48700]	Loss: 0.7534	LR: 0.100000
Training Epoch: 14 [5120/48700]	Loss: 0.9628	LR: 0.100000
Training Epoch: 14 [5376/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 14 [5632/48700]	Loss: 0.7131	LR: 0.100000
Training Epoch: 14 [5888/48700]	Loss: 0.8543	LR: 0.100000
Training Epoch: 14 [6144/48700]	Loss: 0.9284	LR: 0.100000
Training Epoch: 14 [6400/48700]	Loss: 0.9838	LR: 0.100000
Training Epoch: 14 [6656/48700]	Loss: 0.9063	LR: 0.100000
Training Epoch: 14 [6912/48700]	Loss: 0.9408	LR: 0.100000
Training Epoch: 14 [7168/48700]	Loss: 0.8322	LR: 0.100000
Training Epoch: 14 [7424/48700]	Loss: 0.8197	LR: 0.100000
Training Epoch: 14 [7680/48700]	Loss: 0.8551	LR: 0.100000
Training Epoch: 14 [7936/48700]	Loss: 0.8122	LR: 0.100000
Training Epoch: 14 [8192/48700]	Loss: 0.9030	LR: 0.100000
Training Epoch: 14 [8448/48700]	Loss: 0.9239	LR: 0.100000
Training Epoch: 14 [8704/48700]	Loss: 1.0117	LR: 0.100000
Training Epoch: 14 [8960/48700]	Loss: 0.8449	LR: 0.100000
Training Epoch: 14 [9216/48700]	Loss: 0.8099	LR: 0.100000
Training Epoch: 14 [9472/48700]	Loss: 0.9814	LR: 0.100000
Training Epoch: 14 [9728/48700]	Loss: 0.9194	LR: 0.100000
Training Epoch: 14 [9984/48700]	Loss: 0.8484	LR: 0.100000
Training Epoch: 14 [10240/48700]	Loss: 0.8365	LR: 0.100000
Training Epoch: 14 [10496/48700]	Loss: 0.9337	LR: 0.100000
Training Epoch: 14 [10752/48700]	Loss: 1.0163	LR: 0.100000
Training Epoch: 14 [11008/48700]	Loss: 0.9457	LR: 0.100000
Training Epoch: 14 [11264/48700]	Loss: 0.8887	LR: 0.100000
Training Epoch: 14 [11520/48700]	Loss: 0.8275	LR: 0.100000
Training Epoch: 14 [11776/48700]	Loss: 0.7640	LR: 0.100000
Training Epoch: 14 [12032/48700]	Loss: 0.9406	LR: 0.100000
Training Epoch: 14 [12288/48700]	Loss: 0.9123	LR: 0.100000
Training Epoch: 14 [12544/48700]	Loss: 0.8349	LR: 0.100000
Training Epoch: 14 [12800/48700]	Loss: 0.8354	LR: 0.100000
Training Epoch: 14 [13056/48700]	Loss: 1.0519	LR: 0.100000
Training Epoch: 14 [13312/48700]	Loss: 0.8698	LR: 0.100000
Training Epoch: 14 [13568/48700]	Loss: 0.7654	LR: 0.100000
Training Epoch: 14 [13824/48700]	Loss: 0.7921	LR: 0.100000
Training Epoch: 14 [14080/48700]	Loss: 0.7735	LR: 0.100000
Training Epoch: 14 [14336/48700]	Loss: 0.9160	LR: 0.100000
Training Epoch: 14 [14592/48700]	Loss: 0.9883	LR: 0.100000
Training Epoch: 14 [14848/48700]	Loss: 0.7893	LR: 0.100000
Training Epoch: 14 [15104/48700]	Loss: 0.8654	LR: 0.100000
Training Epoch: 14 [15360/48700]	Loss: 0.9434	LR: 0.100000
Training Epoch: 14 [15616/48700]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [15872/48700]	Loss: 0.9722	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 0.8514	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 0.9426	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 0.9471	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.9064	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 0.8689	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.8634	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.8598	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.8261	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.8320	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.8020	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 0.9326	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 0.9282	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 0.9368	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.8208	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 0.8846	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.9046	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.8385	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 1.0084	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 0.9796	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 0.9988	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 0.8568	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.7761	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 1.1435	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.8203	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 0.8053	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.8014	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 0.9875	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.9238	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.9145	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 0.8642	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.8160	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 1.0076	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 1.0229	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.9121	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.9505	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 0.8894	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.9678	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.7987	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.9233	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 0.8763	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.8895	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.9461	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 0.9767	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 0.8940	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.8189	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.8298	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.9291	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.8640	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.9649	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 0.8361	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.9736	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.9577	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.9975	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.9762	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 0.9169	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 0.7226	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.9571	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 0.9536	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 1.0018	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 0.7047	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.9531	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.8775	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 0.9122	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.8701	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 0.9799	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 1.0617	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.8626	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.7758	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 0.9553	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 0.9759	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.8109	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.9717	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9616	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9002	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 1.0140	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 0.9672	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 0.8122	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.9220	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.8474	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 0.9814	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 0.8730	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.8598	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.9374	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.9996	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 0.9128	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 0.8900	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 0.9223	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 0.9234	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.8675	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 0.9157	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 0.8069	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 0.8933	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 0.9751	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9331	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 0.8594	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.9622	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 0.8944	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.9264	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 0.8911	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 1.0973	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 0.8328	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.9777	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.8673	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 0.9370	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 0.9718	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 1.0292	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 0.8189	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.9289	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 0.8198	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 0.9167	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.8412	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.8483	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 1.0981	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 0.8133	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.9845	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 0.9221	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 1.0328	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 0.9210	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 0.8803	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 1.0228	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 0.9310	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9557	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 0.9160	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.7958	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.8923	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9016, Train Accuracy: 0.7077
Epoch 14 training time consumed: 29.53s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0046, Accuracy: 0.6431, Time consumed:0.90s
Training Epoch: 15 [256/48700]	Loss: 0.8414	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8380	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 0.7514	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.8551	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.9070	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.9802	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.6998	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.8830	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.9598	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.6904	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.7763	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.7545	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.8866	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.6733	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.8741	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.8634	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.9226	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.7615	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.7549	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.7840	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.8593	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.6239	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7696	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7756	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.7344	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.6759	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.6565	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.7391	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.7146	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.7207	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.6099	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.6714	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.7655	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7143	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.7356	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.7556	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.7331	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.8086	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.7268	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7485	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.6477	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.8331	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.7131	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7291	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.7342	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.6543	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.7096	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.8123	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.7087	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.7050	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.5859	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.6355	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.7066	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.7019	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.6536	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.7354	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.6060	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.5729	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.6811	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.6863	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.6196	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.7137	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.6656	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.6044	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.7010	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.7621	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.6137	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.5809	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.6122	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.6250	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.6697	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.6589	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.6840	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.6050	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.6688	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.6315	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.6275	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.7384	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.6385	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.5363	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.6764	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.6342	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.6930	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.6721	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.6330	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.7208	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.5652	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.5615	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.7276	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.7255	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.6492	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.7884	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.5958	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.5935	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6586	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.6400	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.6332	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.5791	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.6864	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.7206	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.6331	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.6116	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.6570	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.5766	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.6278	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.5871	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.6673	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.6827	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.6489	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.6863	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.6560	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.8007	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.7097	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.5946	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.5911	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.7736	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.6553	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.5685	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.5927	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.6607	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6263	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.6865	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.5897	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6458	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.6073	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.6741	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 15 [42240/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 15 [42496/48700]	Loss: 0.6157	LR: 0.020000
Training Epoch: 15 [42752/48700]	Loss: 0.6070	LR: 0.020000
Training Epoch: 15 [43008/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 15 [43264/48700]	Loss: 0.6596	LR: 0.020000
Training Epoch: 15 [43520/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 15 [43776/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 15 [44032/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [44288/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 15 [44544/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 15 [44800/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 15 [45056/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 15 [45312/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 15 [45568/48700]	Loss: 0.7911	LR: 0.020000
Training Epoch: 15 [45824/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 15 [46080/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 15 [46336/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 15 [46592/48700]	Loss: 0.6985	LR: 0.020000
Training Epoch: 15 [46848/48700]	Loss: 0.6703	LR: 0.020000
Training Epoch: 15 [47104/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 15 [47360/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 15 [47616/48700]	Loss: 0.6344	LR: 0.020000
Training Epoch: 15 [47872/48700]	Loss: 0.6942	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.5719	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.5710	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.6242	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6644, Train Accuracy: 0.7839
Epoch 15 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7675, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 16 [512/48700]	Loss: 0.5999	LR: 0.020000
Training Epoch: 16 [768/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 16 [1024/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 16 [1280/48700]	Loss: 0.6220	LR: 0.020000
Training Epoch: 16 [1536/48700]	Loss: 0.6694	LR: 0.020000
Training Epoch: 16 [1792/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 16 [2048/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 16 [2304/48700]	Loss: 0.6194	LR: 0.020000
Training Epoch: 16 [2560/48700]	Loss: 0.6016	LR: 0.020000
Training Epoch: 16 [2816/48700]	Loss: 0.6168	LR: 0.020000
Training Epoch: 16 [3072/48700]	Loss: 0.6411	LR: 0.020000
Training Epoch: 16 [3328/48700]	Loss: 0.5830	LR: 0.020000
Training Epoch: 16 [3584/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 16 [3840/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 16 [4096/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 16 [4352/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 16 [4608/48700]	Loss: 0.5214	LR: 0.020000
Training Epoch: 16 [4864/48700]	Loss: 0.6434	LR: 0.020000
Training Epoch: 16 [5120/48700]	Loss: 0.5681	LR: 0.020000
Training Epoch: 16 [5376/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 16 [5632/48700]	Loss: 0.4863	LR: 0.020000
Training Epoch: 16 [5888/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 16 [6144/48700]	Loss: 0.5782	LR: 0.020000
Training Epoch: 16 [6400/48700]	Loss: 0.6471	LR: 0.020000
Training Epoch: 16 [6656/48700]	Loss: 0.5931	LR: 0.020000
Training Epoch: 16 [6912/48700]	Loss: 0.6259	LR: 0.020000
Training Epoch: 16 [7168/48700]	Loss: 0.6790	LR: 0.020000
Training Epoch: 16 [7424/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 16 [7680/48700]	Loss: 0.5917	LR: 0.020000
Training Epoch: 16 [7936/48700]	Loss: 0.5502	LR: 0.020000
Training Epoch: 16 [8192/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 16 [8448/48700]	Loss: 0.6001	LR: 0.020000
Training Epoch: 16 [8704/48700]	Loss: 0.5820	LR: 0.020000
Training Epoch: 16 [8960/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 16 [9216/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 16 [9472/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 16 [9728/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 16 [9984/48700]	Loss: 0.6068	LR: 0.020000
Training Epoch: 16 [10240/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 16 [10496/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 16 [10752/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 16 [11008/48700]	Loss: 0.7098	LR: 0.020000
Training Epoch: 16 [11264/48700]	Loss: 0.5360	LR: 0.020000
Training Epoch: 16 [11520/48700]	Loss: 0.5975	LR: 0.020000
Training Epoch: 16 [11776/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 16 [12032/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 16 [12288/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 16 [12544/48700]	Loss: 0.6149	LR: 0.020000
Training Epoch: 16 [12800/48700]	Loss: 0.6746	LR: 0.020000
Training Epoch: 16 [13056/48700]	Loss: 0.5990	LR: 0.020000
Training Epoch: 16 [13312/48700]	Loss: 0.7210	LR: 0.020000
Training Epoch: 16 [13568/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 16 [13824/48700]	Loss: 0.6776	LR: 0.020000
Training Epoch: 16 [14080/48700]	Loss: 0.6540	LR: 0.020000
Training Epoch: 16 [14336/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 16 [14592/48700]	Loss: 0.5427	LR: 0.020000
Training Epoch: 16 [14848/48700]	Loss: 0.4931	LR: 0.020000
Training Epoch: 16 [15104/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 16 [15360/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 16 [15616/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 16 [15872/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 16 [16128/48700]	Loss: 0.5751	LR: 0.020000
Training Epoch: 16 [16384/48700]	Loss: 0.6140	LR: 0.020000
Training Epoch: 16 [16640/48700]	Loss: 0.5507	LR: 0.020000
Training Epoch: 16 [16896/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 16 [17152/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 16 [17408/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 16 [17664/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 16 [17920/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 16 [18176/48700]	Loss: 0.5628	LR: 0.020000
Training Epoch: 16 [18432/48700]	Loss: 0.5372	LR: 0.020000
Training Epoch: 16 [18688/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 16 [18944/48700]	Loss: 0.6249	LR: 0.020000
Training Epoch: 16 [19200/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 16 [19456/48700]	Loss: 0.7101	LR: 0.020000
Training Epoch: 16 [19712/48700]	Loss: 0.6432	LR: 0.020000
Training Epoch: 16 [19968/48700]	Loss: 0.6311	LR: 0.020000
Training Epoch: 16 [20224/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 16 [20480/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 16 [20736/48700]	Loss: 0.7352	LR: 0.020000
Training Epoch: 16 [20992/48700]	Loss: 0.5421	LR: 0.020000
Training Epoch: 16 [21248/48700]	Loss: 0.6355	LR: 0.020000
Training Epoch: 16 [21504/48700]	Loss: 0.5092	LR: 0.020000
Training Epoch: 16 [21760/48700]	Loss: 0.6561	LR: 0.020000
Training Epoch: 16 [22016/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 16 [22272/48700]	Loss: 0.5351	LR: 0.020000
Training Epoch: 16 [22528/48700]	Loss: 0.5849	LR: 0.020000
Training Epoch: 16 [22784/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 16 [23040/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 16 [23296/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 16 [23552/48700]	Loss: 0.6033	LR: 0.020000
Training Epoch: 16 [23808/48700]	Loss: 0.6611	LR: 0.020000
Training Epoch: 16 [24064/48700]	Loss: 0.6494	LR: 0.020000
Training Epoch: 16 [24320/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 16 [24576/48700]	Loss: 0.6329	LR: 0.020000
Training Epoch: 16 [24832/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 16 [25088/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 16 [25344/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 16 [25600/48700]	Loss: 0.5717	LR: 0.020000
Training Epoch: 16 [25856/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 16 [26112/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 16 [26368/48700]	Loss: 0.5973	LR: 0.020000
Training Epoch: 16 [26624/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 16 [26880/48700]	Loss: 0.5864	LR: 0.020000
Training Epoch: 16 [27136/48700]	Loss: 0.6244	LR: 0.020000
Training Epoch: 16 [27392/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 16 [27648/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 16 [27904/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 16 [28160/48700]	Loss: 0.6001	LR: 0.020000
Training Epoch: 16 [28416/48700]	Loss: 0.6257	LR: 0.020000
Training Epoch: 16 [28672/48700]	Loss: 0.6106	LR: 0.020000
Training Epoch: 16 [28928/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 16 [29184/48700]	Loss: 0.5008	LR: 0.020000
Training Epoch: 16 [29440/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 16 [29696/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 16 [29952/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 16 [30208/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 16 [30464/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 16 [30720/48700]	Loss: 0.6810	LR: 0.020000
Training Epoch: 16 [30976/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 16 [31232/48700]	Loss: 0.6978	LR: 0.020000
Training Epoch: 16 [31488/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 16 [31744/48700]	Loss: 0.6429	LR: 0.020000
Training Epoch: 16 [32000/48700]	Loss: 0.7217	LR: 0.020000
Training Epoch: 16 [32256/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 16 [32512/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 16 [32768/48700]	Loss: 0.5276	LR: 0.020000
Training Epoch: 16 [33024/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 16 [33280/48700]	Loss: 0.6789	LR: 0.020000
Training Epoch: 16 [33536/48700]	Loss: 0.6278	LR: 0.020000
Training Epoch: 16 [33792/48700]	Loss: 0.6055	LR: 0.020000
Training Epoch: 16 [34048/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 16 [34304/48700]	Loss: 0.5628	LR: 0.020000
Training Epoch: 16 [34560/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 16 [34816/48700]	Loss: 0.6247	LR: 0.020000
Training Epoch: 16 [35072/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 16 [35328/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 16 [35584/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 16 [35840/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 16 [36096/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 16 [36352/48700]	Loss: 0.6009	LR: 0.020000
Training Epoch: 16 [36608/48700]	Loss: 0.6152	LR: 0.020000
Training Epoch: 16 [36864/48700]	Loss: 0.6152	LR: 0.020000
Training Epoch: 16 [37120/48700]	Loss: 0.5495	LR: 0.020000
Training Epoch: 16 [37376/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 16 [37632/48700]	Loss: 0.6560	LR: 0.020000
Training Epoch: 16 [37888/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 16 [38144/48700]	Loss: 0.6162	LR: 0.020000
Training Epoch: 16 [38400/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 16 [38656/48700]	Loss: 0.6152	LR: 0.020000
Training Epoch: 16 [38912/48700]	Loss: 0.5767	LR: 0.020000
Training Epoch: 16 [39168/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 16 [39424/48700]	Loss: 0.5380	LR: 0.020000
Training Epoch: 16 [39680/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 16 [39936/48700]	Loss: 0.5183	LR: 0.020000
Training Epoch: 16 [40192/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 16 [40448/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 16 [40704/48700]	Loss: 0.5942	LR: 0.020000
Training Epoch: 16 [40960/48700]	Loss: 0.5852	LR: 0.020000
Training Epoch: 16 [41216/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 16 [41472/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 16 [41728/48700]	Loss: 0.6207	LR: 0.020000
Training Epoch: 16 [41984/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 16 [42240/48700]	Loss: 0.5464	LR: 0.020000
Training Epoch: 16 [42496/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 16 [42752/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 16 [43008/48700]	Loss: 0.7089	LR: 0.020000
Training Epoch: 16 [43264/48700]	Loss: 0.5653	LR: 0.020000
Training Epoch: 16 [43520/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 16 [43776/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 16 [44032/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 16 [44288/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 16 [44544/48700]	Loss: 0.5898	LR: 0.020000
Training Epoch: 16 [44800/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 16 [45056/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 16 [45312/48700]	Loss: 0.6450	LR: 0.020000
Training Epoch: 16 [45568/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 16 [45824/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 16 [46080/48700]	Loss: 0.4595	LR: 0.020000
Training Epoch: 16 [46336/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 16 [46592/48700]	Loss: 0.7070	LR: 0.020000
Training Epoch: 16 [46848/48700]	Loss: 0.6231	LR: 0.020000
Training Epoch: 16 [47104/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 16 [47360/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 16 [47616/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 16 [47872/48700]	Loss: 0.6062	LR: 0.020000
Training Epoch: 16 [48128/48700]	Loss: 0.6208	LR: 0.020000
Training Epoch: 16 [48384/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 16 [48640/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.6846	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5732, Train Accuracy: 0.8140
Epoch 16 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7741, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 17 [512/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 17 [768/48700]	Loss: 0.4553	LR: 0.020000
Training Epoch: 17 [1024/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 17 [1280/48700]	Loss: 0.4818	LR: 0.020000
Training Epoch: 17 [1536/48700]	Loss: 0.4497	LR: 0.020000
Training Epoch: 17 [1792/48700]	Loss: 0.5263	LR: 0.020000
Training Epoch: 17 [2048/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 17 [2304/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 17 [2560/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 17 [2816/48700]	Loss: 0.5468	LR: 0.020000
Training Epoch: 17 [3072/48700]	Loss: 0.6079	LR: 0.020000
Training Epoch: 17 [3328/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 17 [3584/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 17 [3840/48700]	Loss: 0.6016	LR: 0.020000
Training Epoch: 17 [4096/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 17 [4352/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 17 [4608/48700]	Loss: 0.5944	LR: 0.020000
Training Epoch: 17 [4864/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 17 [5120/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 17 [5376/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 17 [5632/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 17 [5888/48700]	Loss: 0.4545	LR: 0.020000
Training Epoch: 17 [6144/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 17 [6400/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 17 [6656/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 17 [6912/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 17 [7168/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 17 [7424/48700]	Loss: 0.4964	LR: 0.020000
Training Epoch: 17 [7680/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 17 [7936/48700]	Loss: 0.6394	LR: 0.020000
Training Epoch: 17 [8192/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 17 [8448/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 17 [8704/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 17 [8960/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 17 [9216/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 17 [9472/48700]	Loss: 0.6102	LR: 0.020000
Training Epoch: 17 [9728/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 17 [9984/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 17 [10240/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 17 [10496/48700]	Loss: 0.6623	LR: 0.020000
Training Epoch: 17 [10752/48700]	Loss: 0.5212	LR: 0.020000
Training Epoch: 17 [11008/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 17 [11264/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 17 [11520/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 17 [11776/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 17 [12032/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 17 [12288/48700]	Loss: 0.4771	LR: 0.020000
Training Epoch: 17 [12544/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 17 [12800/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 17 [13056/48700]	Loss: 0.5886	LR: 0.020000
Training Epoch: 17 [13312/48700]	Loss: 0.6272	LR: 0.020000
Training Epoch: 17 [13568/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 17 [13824/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 17 [14080/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 17 [14336/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 17 [14592/48700]	Loss: 0.5621	LR: 0.020000
Training Epoch: 17 [14848/48700]	Loss: 0.4399	LR: 0.020000
Training Epoch: 17 [15104/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 17 [15360/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 17 [15616/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 17 [15872/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 17 [16128/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 17 [16384/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 17 [16640/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 17 [16896/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 17 [17152/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 17 [17408/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 17 [17664/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 17 [17920/48700]	Loss: 0.6847	LR: 0.020000
Training Epoch: 17 [18176/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 17 [18432/48700]	Loss: 0.4526	LR: 0.020000
Training Epoch: 17 [18688/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 17 [18944/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 17 [19200/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 17 [19456/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 17 [19712/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 17 [19968/48700]	Loss: 0.6312	LR: 0.020000
Training Epoch: 17 [20224/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 17 [20480/48700]	Loss: 0.5134	LR: 0.020000
Training Epoch: 17 [20736/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 17 [20992/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 17 [21248/48700]	Loss: 0.5274	LR: 0.020000
Training Epoch: 17 [21504/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 17 [21760/48700]	Loss: 0.5979	LR: 0.020000
Training Epoch: 17 [22016/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 17 [22272/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 17 [22528/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 17 [22784/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 17 [23040/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 17 [23296/48700]	Loss: 0.6266	LR: 0.020000
Training Epoch: 17 [23552/48700]	Loss: 0.6502	LR: 0.020000
Training Epoch: 17 [23808/48700]	Loss: 0.5515	LR: 0.020000
Training Epoch: 17 [24064/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 17 [24320/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 17 [24576/48700]	Loss: 0.5114	LR: 0.020000
Training Epoch: 17 [24832/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 17 [25088/48700]	Loss: 0.5027	LR: 0.020000
Training Epoch: 17 [25344/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 17 [25600/48700]	Loss: 0.5810	LR: 0.020000
Training Epoch: 17 [25856/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 17 [26112/48700]	Loss: 0.4955	LR: 0.020000
Training Epoch: 17 [26368/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 17 [26624/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 17 [26880/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 17 [27136/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 17 [27392/48700]	Loss: 0.5108	LR: 0.020000
Training Epoch: 17 [27648/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 17 [27904/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 17 [28160/48700]	Loss: 0.5866	LR: 0.020000
Training Epoch: 17 [28416/48700]	Loss: 0.5947	LR: 0.020000
Training Epoch: 17 [28672/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 17 [28928/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 17 [29184/48700]	Loss: 0.6607	LR: 0.020000
Training Epoch: 17 [29440/48700]	Loss: 0.4832	LR: 0.020000
Training Epoch: 17 [29696/48700]	Loss: 0.7423	LR: 0.020000
Training Epoch: 17 [29952/48700]	Loss: 0.5021	LR: 0.020000
Training Epoch: 17 [30208/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 17 [30464/48700]	Loss: 0.5209	LR: 0.020000
Training Epoch: 17 [30720/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 17 [30976/48700]	Loss: 0.5943	LR: 0.020000
Training Epoch: 17 [31232/48700]	Loss: 0.6136	LR: 0.020000
Training Epoch: 17 [31488/48700]	Loss: 0.6737	LR: 0.020000
Training Epoch: 17 [31744/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 17 [32000/48700]	Loss: 0.5381	LR: 0.020000
Training Epoch: 17 [32256/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 17 [32512/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 17 [32768/48700]	Loss: 0.6197	LR: 0.020000
Training Epoch: 17 [33024/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 17 [33280/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 17 [33536/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 17 [33792/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 17 [34048/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 17 [34304/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 17 [34560/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 17 [34816/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 17 [35072/48700]	Loss: 0.5871	LR: 0.020000
Training Epoch: 17 [35328/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 17 [35584/48700]	Loss: 0.6554	LR: 0.020000
Training Epoch: 17 [35840/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 17 [36096/48700]	Loss: 0.6567	LR: 0.020000
Training Epoch: 17 [36352/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 17 [36608/48700]	Loss: 0.4284	LR: 0.020000
Training Epoch: 17 [36864/48700]	Loss: 0.4807	LR: 0.020000
Training Epoch: 17 [37120/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 17 [37376/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 17 [37632/48700]	Loss: 0.4562	LR: 0.020000
Training Epoch: 17 [37888/48700]	Loss: 0.4417	LR: 0.020000
Training Epoch: 17 [38144/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 17 [38400/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 17 [38656/48700]	Loss: 0.6310	LR: 0.020000
Training Epoch: 17 [38912/48700]	Loss: 0.6469	LR: 0.020000
Training Epoch: 17 [39168/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 17 [39424/48700]	Loss: 0.5148	LR: 0.020000
Training Epoch: 17 [39680/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 17 [39936/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 17 [40192/48700]	Loss: 0.6709	LR: 0.020000
Training Epoch: 17 [40448/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 17 [40704/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 17 [40960/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 17 [41216/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 17 [41472/48700]	Loss: 0.5816	LR: 0.020000
Training Epoch: 17 [41728/48700]	Loss: 0.3923	LR: 0.020000
Training Epoch: 17 [41984/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 17 [42240/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 17 [42496/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 17 [42752/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 17 [43008/48700]	Loss: 0.6120	LR: 0.020000
Training Epoch: 17 [43264/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 17 [43520/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 17 [43776/48700]	Loss: 0.6311	LR: 0.020000
Training Epoch: 17 [44032/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 17 [44288/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 17 [44544/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 17 [44800/48700]	Loss: 0.4189	LR: 0.020000
Training Epoch: 17 [45056/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 17 [45312/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 17 [45568/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 17 [45824/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 17 [46080/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 17 [46336/48700]	Loss: 0.5272	LR: 0.020000
Training Epoch: 17 [46592/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 17 [46848/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 17 [47104/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 17 [47360/48700]	Loss: 0.6610	LR: 0.020000
Training Epoch: 17 [47616/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 17 [47872/48700]	Loss: 0.6338	LR: 0.020000
Training Epoch: 17 [48128/48700]	Loss: 0.5427	LR: 0.020000
Training Epoch: 17 [48384/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 17 [48640/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 17 [48700/48700]	Loss: 0.7638	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5401, Train Accuracy: 0.8243
Epoch 17 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0030, Accuracy: 0.7648, Time consumed:0.94s
Training Epoch: 18 [256/48700]	Loss: 0.6057	LR: 0.020000
Training Epoch: 18 [512/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 18 [768/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 18 [1024/48700]	Loss: 0.4872	LR: 0.020000
Training Epoch: 18 [1280/48700]	Loss: 0.3738	LR: 0.020000
Training Epoch: 18 [1536/48700]	Loss: 0.6243	LR: 0.020000
Training Epoch: 18 [1792/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 18 [2048/48700]	Loss: 0.6287	LR: 0.020000
Training Epoch: 18 [2304/48700]	Loss: 0.4783	LR: 0.020000
Training Epoch: 18 [2560/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 18 [2816/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 18 [3072/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 18 [3328/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 18 [3584/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 18 [3840/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 18 [4096/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 18 [4352/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 18 [4608/48700]	Loss: 0.7013	LR: 0.020000
Training Epoch: 18 [4864/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 18 [5120/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 18 [5376/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 18 [5632/48700]	Loss: 0.4951	LR: 0.020000
Training Epoch: 18 [5888/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 18 [6144/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 18 [6400/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 18 [6656/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 18 [6912/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 18 [7168/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 18 [7424/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 18 [7680/48700]	Loss: 0.4628	LR: 0.020000
Training Epoch: 18 [7936/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 18 [8192/48700]	Loss: 0.5628	LR: 0.020000
Training Epoch: 18 [8448/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 18 [8704/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 18 [8960/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 18 [9216/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 18 [9472/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 18 [9728/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 18 [9984/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 18 [10240/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 18 [10496/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 18 [10752/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 18 [11008/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 18 [11264/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 18 [11520/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 18 [11776/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 18 [12032/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 18 [12288/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 18 [12544/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 18 [12800/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 18 [13056/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 18 [13312/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 18 [13568/48700]	Loss: 0.4210	LR: 0.020000
Training Epoch: 18 [13824/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 18 [14080/48700]	Loss: 0.5433	LR: 0.020000
Training Epoch: 18 [14336/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 18 [14592/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 18 [14848/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 18 [15104/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 18 [15360/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 18 [15616/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 18 [15872/48700]	Loss: 0.5219	LR: 0.020000
Training Epoch: 18 [16128/48700]	Loss: 0.4850	LR: 0.020000
Training Epoch: 18 [16384/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 18 [16640/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 18 [16896/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 18 [17152/48700]	Loss: 0.4264	LR: 0.020000
Training Epoch: 18 [17408/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 18 [17664/48700]	Loss: 0.6788	LR: 0.020000
Training Epoch: 18 [17920/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 18 [18176/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 18 [18432/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 18 [18688/48700]	Loss: 0.6119	LR: 0.020000
Training Epoch: 18 [18944/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 18 [19200/48700]	Loss: 0.4861	LR: 0.020000
Training Epoch: 18 [19456/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 18 [19712/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 18 [19968/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 18 [20224/48700]	Loss: 0.4897	LR: 0.020000
Training Epoch: 18 [20480/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 18 [20736/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 18 [20992/48700]	Loss: 0.5866	LR: 0.020000
Training Epoch: 18 [21248/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 18 [21504/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 18 [21760/48700]	Loss: 0.5681	LR: 0.020000
Training Epoch: 18 [22016/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 18 [22272/48700]	Loss: 0.4559	LR: 0.020000
Training Epoch: 18 [22528/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 18 [22784/48700]	Loss: 0.5181	LR: 0.020000
Training Epoch: 18 [23040/48700]	Loss: 0.6386	LR: 0.020000
Training Epoch: 18 [23296/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 18 [23552/48700]	Loss: 0.5807	LR: 0.020000
Training Epoch: 18 [23808/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 18 [24064/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 18 [24320/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 18 [24576/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 18 [24832/48700]	Loss: 0.4896	LR: 0.020000
Training Epoch: 18 [25088/48700]	Loss: 0.5777	LR: 0.020000
Training Epoch: 18 [25344/48700]	Loss: 0.5504	LR: 0.020000
Training Epoch: 18 [25600/48700]	Loss: 0.5101	LR: 0.020000
Training Epoch: 18 [25856/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 18 [26112/48700]	Loss: 0.3827	LR: 0.020000
Training Epoch: 18 [26368/48700]	Loss: 0.5377	LR: 0.020000
Training Epoch: 18 [26624/48700]	Loss: 0.6522	LR: 0.020000
Training Epoch: 18 [26880/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 18 [27136/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 18 [27392/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 18 [27648/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 18 [27904/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 18 [28160/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 18 [28416/48700]	Loss: 0.6018	LR: 0.020000
Training Epoch: 18 [28672/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 18 [28928/48700]	Loss: 0.4413	LR: 0.020000
Training Epoch: 18 [29184/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 18 [29440/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 18 [29696/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 18 [29952/48700]	Loss: 0.5098	LR: 0.020000
Training Epoch: 18 [30208/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 18 [30464/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 18 [30720/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 18 [30976/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 18 [31232/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 18 [31488/48700]	Loss: 0.5202	LR: 0.020000
Training Epoch: 18 [31744/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 18 [32000/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 18 [32256/48700]	Loss: 0.4277	LR: 0.020000
Training Epoch: 18 [32512/48700]	Loss: 0.5002	LR: 0.020000
Training Epoch: 18 [32768/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 18 [33024/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 18 [33280/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 18 [33536/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 18 [33792/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 18 [34048/48700]	Loss: 0.4802	LR: 0.020000
Training Epoch: 18 [34304/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 18 [34560/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 18 [34816/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 18 [35072/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 18 [35328/48700]	Loss: 0.5962	LR: 0.020000
Training Epoch: 18 [35584/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 18 [35840/48700]	Loss: 0.5015	LR: 0.020000
Training Epoch: 18 [36096/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 18 [36352/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 18 [36608/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 18 [36864/48700]	Loss: 0.5055	LR: 0.020000
Training Epoch: 18 [37120/48700]	Loss: 0.5639	LR: 0.020000
Training Epoch: 18 [37376/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 18 [37632/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 18 [37888/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 18 [38144/48700]	Loss: 0.6066	LR: 0.020000
Training Epoch: 18 [38400/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 18 [38656/48700]	Loss: 0.6370	LR: 0.020000
Training Epoch: 18 [38912/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 18 [39168/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 18 [39424/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 18 [39680/48700]	Loss: 0.5639	LR: 0.020000
Training Epoch: 18 [39936/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 18 [40192/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 18 [40448/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 18 [40704/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 18 [40960/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 18 [41216/48700]	Loss: 0.4860	LR: 0.020000
Training Epoch: 18 [41472/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 18 [41728/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 18 [41984/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 18 [42240/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 18 [42496/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 18 [42752/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 18 [43008/48700]	Loss: 0.5733	LR: 0.020000
Training Epoch: 18 [43264/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 18 [43520/48700]	Loss: 0.5253	LR: 0.020000
Training Epoch: 18 [43776/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 18 [44032/48700]	Loss: 0.5095	LR: 0.020000
Training Epoch: 18 [44288/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 18 [44544/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 18 [44800/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 18 [45056/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 18 [45312/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 18 [45824/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 18 [46080/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.5913	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5112, Train Accuracy: 0.8314
Epoch 18 training time consumed: 29.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7745, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 19 [512/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 19 [768/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 19 [1024/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 19 [1280/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 19 [1536/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 19 [1792/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 19 [2048/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 19 [2304/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 19 [2560/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 19 [2816/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 19 [3072/48700]	Loss: 0.4100	LR: 0.020000
Training Epoch: 19 [3328/48700]	Loss: 0.4994	LR: 0.020000
Training Epoch: 19 [3584/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 19 [3840/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 19 [4096/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 19 [4352/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 19 [4608/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 19 [4864/48700]	Loss: 0.4570	LR: 0.020000
Training Epoch: 19 [5120/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 19 [5376/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 19 [5632/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 19 [5888/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 19 [6144/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 19 [6400/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 19 [6656/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 19 [6912/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 19 [7168/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 19 [7424/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 19 [7680/48700]	Loss: 0.4321	LR: 0.020000
Training Epoch: 19 [7936/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 19 [8192/48700]	Loss: 0.4166	LR: 0.020000
Training Epoch: 19 [8448/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 19 [8704/48700]	Loss: 0.5188	LR: 0.020000
Training Epoch: 19 [8960/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 19 [9216/48700]	Loss: 0.6123	LR: 0.020000
Training Epoch: 19 [9472/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 19 [9728/48700]	Loss: 0.4064	LR: 0.020000
Training Epoch: 19 [9984/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 19 [10240/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 19 [10496/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 19 [10752/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 19 [11008/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 19 [11264/48700]	Loss: 0.4100	LR: 0.020000
Training Epoch: 19 [11520/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 19 [11776/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 19 [12032/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 19 [12288/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 19 [12544/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 19 [12800/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 19 [13056/48700]	Loss: 0.4044	LR: 0.020000
Training Epoch: 19 [13312/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 19 [13568/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 19 [13824/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 19 [14080/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 19 [14336/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 19 [14592/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 19 [14848/48700]	Loss: 0.4861	LR: 0.020000
Training Epoch: 19 [15104/48700]	Loss: 0.4931	LR: 0.020000
Training Epoch: 19 [15360/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 19 [15616/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 19 [15872/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 19 [16128/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 19 [16384/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 19 [16640/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 19 [16896/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 19 [17152/48700]	Loss: 0.4863	LR: 0.020000
Training Epoch: 19 [17408/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 19 [17664/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 19 [17920/48700]	Loss: 0.5520	LR: 0.020000
Training Epoch: 19 [18176/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 19 [18432/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 19 [18688/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 19 [18944/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 19 [19200/48700]	Loss: 0.4407	LR: 0.020000
Training Epoch: 19 [19456/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 19 [19712/48700]	Loss: 0.5406	LR: 0.020000
Training Epoch: 19 [19968/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 19 [20224/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 19 [20480/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 19 [20736/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 19 [20992/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 19 [21248/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 19 [21504/48700]	Loss: 0.4422	LR: 0.020000
Training Epoch: 19 [21760/48700]	Loss: 0.4287	LR: 0.020000
Training Epoch: 19 [22016/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 19 [22272/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 19 [22528/48700]	Loss: 0.4328	LR: 0.020000
Training Epoch: 19 [22784/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 19 [23040/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 19 [23296/48700]	Loss: 0.4312	LR: 0.020000
Training Epoch: 19 [23552/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 19 [23808/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 19 [24064/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 19 [24320/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 19 [24576/48700]	Loss: 0.5352	LR: 0.020000
Training Epoch: 19 [24832/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 19 [25088/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 19 [25344/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 19 [25600/48700]	Loss: 0.4412	LR: 0.020000
Training Epoch: 19 [25856/48700]	Loss: 0.4751	LR: 0.020000
Training Epoch: 19 [26112/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 19 [26368/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 19 [26624/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 19 [26880/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 19 [27136/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 19 [27392/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 19 [27648/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 19 [27904/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 19 [28160/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 19 [28416/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 19 [28672/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 19 [28928/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 19 [29184/48700]	Loss: 0.5507	LR: 0.020000
Training Epoch: 19 [29440/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 19 [29696/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 19 [29952/48700]	Loss: 0.4521	LR: 0.020000
Training Epoch: 19 [30208/48700]	Loss: 0.5750	LR: 0.020000
Training Epoch: 19 [30464/48700]	Loss: 0.4519	LR: 0.020000
Training Epoch: 19 [30720/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 19 [30976/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 19 [31232/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 19 [31488/48700]	Loss: 0.5279	LR: 0.020000
Training Epoch: 19 [31744/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 19 [32000/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 19 [32256/48700]	Loss: 0.5362	LR: 0.020000
Training Epoch: 19 [32512/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 19 [32768/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 19 [33024/48700]	Loss: 0.4786	LR: 0.020000
Training Epoch: 19 [33280/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 19 [33536/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 19 [33792/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 19 [34048/48700]	Loss: 0.4374	LR: 0.020000
Training Epoch: 19 [34304/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 19 [34560/48700]	Loss: 0.4704	LR: 0.020000
Training Epoch: 19 [34816/48700]	Loss: 0.6421	LR: 0.020000
Training Epoch: 19 [35072/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [35328/48700]	Loss: 0.6178	LR: 0.020000
Training Epoch: 19 [35584/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 19 [35840/48700]	Loss: 0.4969	LR: 0.020000
Training Epoch: 19 [36096/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 19 [36352/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 19 [36608/48700]	Loss: 0.4568	LR: 0.020000
Training Epoch: 19 [36864/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 19 [37120/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 19 [37376/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 19 [37632/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 19 [37888/48700]	Loss: 0.4316	LR: 0.020000
Training Epoch: 19 [38144/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 19 [38400/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 19 [38656/48700]	Loss: 0.5137	LR: 0.020000
Training Epoch: 19 [38912/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 19 [39168/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 19 [39424/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 19 [39680/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 19 [39936/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [40192/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 19 [40448/48700]	Loss: 0.4718	LR: 0.020000
Training Epoch: 19 [40704/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 19 [40960/48700]	Loss: 0.5326	LR: 0.020000
Training Epoch: 19 [41216/48700]	Loss: 0.4868	LR: 0.020000
Training Epoch: 19 [41472/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 19 [41728/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 19 [41984/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 19 [42240/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 19 [42496/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 19 [42752/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 19 [43008/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 19 [43264/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 19 [43520/48700]	Loss: 0.5903	LR: 0.020000
Training Epoch: 19 [43776/48700]	Loss: 0.4479	LR: 0.020000
Training Epoch: 19 [44032/48700]	Loss: 0.5280	LR: 0.020000
Training Epoch: 19 [44288/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 19 [44544/48700]	Loss: 0.4751	LR: 0.020000
Training Epoch: 19 [44800/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 19 [45056/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 19 [45312/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 19 [45568/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 19 [45824/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 19 [46080/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 19 [46336/48700]	Loss: 0.3792	LR: 0.020000
Training Epoch: 19 [46592/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 19 [46848/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 19 [47104/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.6542	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.4714	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.5736	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4836, Train Accuracy: 0.8413
Epoch 19 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7724, Time consumed:0.94s
Training Epoch: 20 [256/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.4601	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 20 [1792/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 20 [2048/48700]	Loss: 0.4443	LR: 0.020000
Training Epoch: 20 [2304/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 20 [2560/48700]	Loss: 0.4734	LR: 0.020000
Training Epoch: 20 [2816/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 20 [3072/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 20 [3328/48700]	Loss: 0.5117	LR: 0.020000
Training Epoch: 20 [3584/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 20 [3840/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 20 [4096/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 20 [4352/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 20 [4608/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 20 [4864/48700]	Loss: 0.4110	LR: 0.020000
Training Epoch: 20 [5120/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 20 [5376/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 20 [5632/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 20 [5888/48700]	Loss: 0.3961	LR: 0.020000
Training Epoch: 20 [6144/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 20 [6400/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 20 [6656/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 20 [6912/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 20 [7168/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 20 [7424/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 20 [7680/48700]	Loss: 0.4989	LR: 0.020000
Training Epoch: 20 [7936/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 20 [8192/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 20 [8448/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 20 [8704/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 20 [8960/48700]	Loss: 0.4840	LR: 0.020000
Training Epoch: 20 [9216/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 20 [9472/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 20 [9728/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 20 [9984/48700]	Loss: 0.4534	LR: 0.020000
Training Epoch: 20 [10240/48700]	Loss: 0.4659	LR: 0.020000
Training Epoch: 20 [10496/48700]	Loss: 0.5008	LR: 0.020000
Training Epoch: 20 [10752/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 20 [11008/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 20 [11264/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 20 [11520/48700]	Loss: 0.4875	LR: 0.020000
Training Epoch: 20 [11776/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 20 [12032/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 20 [12288/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 20 [12544/48700]	Loss: 0.4617	LR: 0.020000
Training Epoch: 20 [12800/48700]	Loss: 0.5275	LR: 0.020000
Training Epoch: 20 [13056/48700]	Loss: 0.4162	LR: 0.020000
Training Epoch: 20 [13312/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 20 [13568/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 20 [13824/48700]	Loss: 0.4338	LR: 0.020000
Training Epoch: 20 [14080/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 20 [14336/48700]	Loss: 0.4148	LR: 0.020000
Training Epoch: 20 [14592/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 20 [14848/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 20 [15104/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 20 [15360/48700]	Loss: 0.4160	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.4655	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.4795	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.5352	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.4675	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.3396	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.4842	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.6217	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.4466	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4478	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.4641	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.4031	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.3912	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.4148	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.4835	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.3471	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.4505	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.3721	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.4691	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4548	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.5490	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.5248	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.6249	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4617	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.5158	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.3466	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.3875	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.4734	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.4598	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.4842	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.5360	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.5628	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.4220	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.4693	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.4693	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.4385	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.6681	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4679, Train Accuracy: 0.8474
Epoch 20 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7715, Time consumed:0.94s
Training Epoch: 21 [256/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.4465	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.3855	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.3847	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.4170	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.3774	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.4067	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.5845	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.4808	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.3868	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.5253	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.4534	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.4335	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.3710	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.3964	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.3715	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.4453	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.4860	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.2971	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.5184	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.3198	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.4955	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.4696	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.5050	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.4763	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.4252	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.4253	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.3364	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.4865	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4925	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.4681	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.3443	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.4381	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.3267	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.4767	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.4404	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.4303	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.4987	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.4318	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4955	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.3162	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.4593	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.4842	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.6609	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.5095	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.5636	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.4140	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.4152	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.5854	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.4276	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.3707	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.3996	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4416, Train Accuracy: 0.8546
Epoch 21 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0032, Accuracy: 0.7631, Time consumed:0.93s
Training Epoch: 22 [256/48700]	Loss: 0.4735	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.3682	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.3985	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.3123	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.4223	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.4548	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.3038	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.3150	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.3656	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.4620	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.4321	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.3925	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.4034	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.4419	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.3193	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.3661	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.3382	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.4320	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.4534	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.3875	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.5219	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.4371	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.3746	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.3847	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.4815	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.4838	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.4757	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.3616	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.3045	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.4189	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.4030	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.4451	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.3414	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.4286	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.4718	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 22 [31488/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 22 [31744/48700]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 22 [32256/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 22 [32512/48700]	Loss: 0.4373	LR: 0.020000
Training Epoch: 22 [32768/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 22 [33024/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 22 [33280/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 22 [33536/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 22 [34048/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 22 [34304/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 22 [34560/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 22 [34816/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 22 [35072/48700]	Loss: 0.4784	LR: 0.020000
Training Epoch: 22 [35328/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 22 [35584/48700]	Loss: 0.4104	LR: 0.020000
Training Epoch: 22 [35840/48700]	Loss: 0.4667	LR: 0.020000
Training Epoch: 22 [36096/48700]	Loss: 0.3403	LR: 0.020000
Training Epoch: 22 [36352/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.5327	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.4100	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.3270	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.4758	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.4068	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.3557	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.4370	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.5980	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.3823	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.4273	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.5428	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.4613	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.4043	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.3582	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.3295	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4313, Train Accuracy: 0.8569
Epoch 22 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7698, Time consumed:0.89s
Training Epoch: 23 [256/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.4655	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.3817	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.3587	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.2651	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.2811	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.2874	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.3286	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.4349	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.3108	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.4228	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.4453	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.3371	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.3843	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.3624	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.4136	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.3317	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.2963	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.3808	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.3966	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.3722	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4243	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4373	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.4553	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.3356	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.3234	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.3496	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.3102	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.3406	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.4922	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.4040	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4676	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4808	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.4018	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.3821	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.5738	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.4742	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.3606	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.3042	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4314	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.4190	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.3770	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.3964	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5999	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.4397	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4058	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.3865	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.4423	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.5260	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.3597	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5168	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.6110	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4100, Train Accuracy: 0.8655
Epoch 23 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7664, Time consumed:0.91s
Training Epoch: 24 [256/48700]	Loss: 0.3289	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.3691	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.3528	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.3218	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.3652	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.3285	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.4420	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.2947	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.3471	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.3538	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4411	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.3181	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.4174	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.4540	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.4569	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.3782	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.4200	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.2883	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.4638	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3749	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.3856	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.3295	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.3177	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.4133	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.2314	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.3733	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.3878	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.3864	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.3600	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3828	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.4018	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.3421	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.2561	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.3305	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.4388	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.4104	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.3704	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.3434	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.3958	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.3796	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.3193	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.3509	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.3889	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4088	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.3753	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.3825	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.3789	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.4708	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.4858	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4375	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.4200	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4500	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.4728	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4749	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.2936	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.3908	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4328	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.4756	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.2999	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.4994	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4348	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.3920	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.4446	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.3048	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.3917	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.3661	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.3746	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.4199	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.3727	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.3700	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.3950	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.3581	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.4021	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4361	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.4505	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.2913	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4000, Train Accuracy: 0.8673
Epoch 24 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0030, Accuracy: 0.7704, Time consumed:0.90s
Training Epoch: 25 [256/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.4897	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.3110	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.4620	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4038	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.3008	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.3179	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.4264	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.3564	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.3291	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.3355	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.3306	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.2634	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.4139	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.3245	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3879	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.4582	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.3865	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.3997	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.3385	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3922	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.3639	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.2917	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.3444	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.2983	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.3965	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.4676	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3649	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.3723	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.3346	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.3567	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3912	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.3177	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.3480	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.3156	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.4886	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.4609	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.4751	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.3590	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.4028	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 25 [29952/48700]	Loss: 0.4152	LR: 0.020000
Training Epoch: 25 [30208/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.3313	LR: 0.020000
Training Epoch: 25 [32000/48700]	Loss: 0.3168	LR: 0.020000
Training Epoch: 25 [32256/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 25 [32512/48700]	Loss: 0.4332	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.2869	LR: 0.020000
Training Epoch: 25 [33024/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 25 [33280/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.4561	LR: 0.020000
Training Epoch: 25 [34048/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 25 [34304/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [34560/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 25 [34816/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 25 [35072/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 25 [35584/48700]	Loss: 0.3899	LR: 0.020000
Training Epoch: 25 [35840/48700]	Loss: 0.3432	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.4400	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.3824	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.4302	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.3682	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.3994	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.4173	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.3604	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.3728	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.3362	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.3936	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.3822	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.3979	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.4353	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3868, Train Accuracy: 0.8725
Epoch 25 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7678, Time consumed:0.94s
Training Epoch: 26 [256/48700]	Loss: 0.3730	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.3777	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.3548	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.3915	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3542	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4162	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.4228	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.3192	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4085	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.2979	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.2800	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.4395	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.4140	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.3300	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.2955	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.3706	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.3147	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.3109	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3051	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3472	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.3005	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.2697	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.2807	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.2634	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.4018	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3931	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.2846	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.3682	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.3147	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.2968	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.3165	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3859	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3650	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.2878	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.2711	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.3101	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.3248	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.3502	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.2827	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.2394	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.3546	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.3158	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3157	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3187	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.3143	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.3481	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.2815	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.4204	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.3578	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3776	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.2785	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.3280	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.2992	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.4370	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.3578	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.3492	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3019	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3546	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.3937	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.3348	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.2980	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.4150	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.3832	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.3490	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.4157	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.4802	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.4088	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.4374	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.2882	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4499	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.4316	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.3734	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.3935	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.3972	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.4452	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.2587	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.3790	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.2853	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.3816	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3519	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.4194	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3704, Train Accuracy: 0.8752
Epoch 26 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7674, Time consumed:0.89s
Training Epoch: 27 [256/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.3203	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.2461	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3281	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.2641	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.3146	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.2867	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.3396	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.2552	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.3432	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3059	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.2765	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.2959	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.3573	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.2501	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3382	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.2755	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3558	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.3435	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.3099	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.3069	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.3040	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.3618	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.3381	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3197	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3731	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.2447	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3696	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.3532	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.3199	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.2994	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.4471	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.3953	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.2850	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.4264	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.4685	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.4104	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.2838	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.2759	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3721	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3011	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3274	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.3162	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.2560	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3913	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.3569	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3510	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.3455	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3549	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3216	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.3412	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.2979	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3389	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.2969	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.3408	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.3601	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3501	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.3266	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.2564	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.4242	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.3597	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3096	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3362	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3500	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4215	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.4035	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.4360	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.3320	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3150	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.3222	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.3460	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.4068	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.3016	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.3942	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.2622	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.3128	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3929	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.4119	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4405	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.3960	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.4470	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.4329	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.4435	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.3738	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.3613	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.4209	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.2653	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.4097	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.4280	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.4063	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.3154	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.3595	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.4085	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.4288	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.4387	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.3034	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.4438	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3674, Train Accuracy: 0.8784
Epoch 27 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7659, Time consumed:0.94s
Training Epoch: 28 [256/48700]	Loss: 0.3644	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.3214	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.3577	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.3054	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.2824	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3722	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3174	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.2861	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.2795	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.2218	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3303	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.2785	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.3446	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.2784	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3301	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.2740	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.2877	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.2970	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.3568	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.3043	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.3306	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3881	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3756	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.2717	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.2757	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.2742	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3224	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.2630	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3220	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.4485	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.2690	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.3345	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.3174	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.3630	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.3716	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.2715	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.2562	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3470	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.2412	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.3338	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.2964	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3515	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.3072	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.2797	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.2822	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3778	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.3170	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.4281	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.2788	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.3729	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3329	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3295	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.2577	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3156	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3269	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.2743	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3372	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3025	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.2626	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.2434	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.2904	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.2849	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.3473	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.3471	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.2571	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3477	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.2943	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3258	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.3196	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.2885	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3034	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.3097	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.4008	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.2982	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.2866	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.2770	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.3951	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.3724	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.3504	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3886	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.3657	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3902	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3662	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.4403	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.3398	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.3510	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.3268	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.4517	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.3646	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.3061	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3272	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.4412	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.3039	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.3491	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.3333	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.4133	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3579	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.3206	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.2933	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.3827	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.3075	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.4407	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3963	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.3464	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.4149	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.3207	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.3254	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.2692	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.3573	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.3686	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.2850	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.4435	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.3260	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3463	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.3466	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.3132	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3478, Train Accuracy: 0.8829
Epoch 28 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7619, Time consumed:0.89s
Training Epoch: 29 [256/48700]	Loss: 0.2786	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.3215	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3516	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3573	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.3147	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.3758	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3098	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.2824	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.3226	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.2547	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.2833	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.2863	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.2626	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.2589	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.2992	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.3141	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3775	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.2796	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.3212	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.3244	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.3280	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.3404	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.4103	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.2603	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.4170	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.2687	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.2785	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.3119	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3026	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.2696	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.3409	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.2755	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.2155	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.3361	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.3148	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.2611	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3356	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.3195	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.2436	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.3009	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.2266	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3440	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.2856	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3194	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.2889	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3146	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.2887	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3184	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.2891	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.3686	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3129	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.3757	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.2778	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.2997	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.2753	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.4049	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.3109	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3318	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3773	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.2620	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3399	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.2928	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.3703	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3518	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.3403	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.2937	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.2824	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.3387	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.3333	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.2910	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.2644	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.2488	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3121	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3322	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.2456	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.2644	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.3198	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3267	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.4184	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3292	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.3045	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.2554	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.2919	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.2647	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.3712	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3546	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.2604	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.3459	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.2719	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3754	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3169	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4236	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.3635	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4925	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.3057	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.2925	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.2752	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.2213	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.3413	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.4466	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3132	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.2842	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.4364	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.3181	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4136	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3581	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3743	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.2768	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.3186	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.3180	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.2818	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.3142	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.3841	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.2941	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3864	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.3971	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.4059	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.3005	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.2690	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.3645	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.2971	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.2563	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.2645	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3362, Train Accuracy: 0.8866
Epoch 29 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7643, Time consumed:0.92s
Training Epoch: 30 [256/48700]	Loss: 0.3026	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.3243	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.2518	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.2873	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.2923	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.2531	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.2622	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.2931	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.2788	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.2496	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.2501	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.3600	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.3063	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.2787	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.3063	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2618	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2447	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.2417	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2964	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.2794	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.2174	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.1831	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.2554	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2801	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2792	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2094	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2562	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2544	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2162	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.2011	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2339	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2701	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2004	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2653	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.2546	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.1844	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.2914	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2265	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.2246	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2097	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.2406	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2515	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2862	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.2048	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2111	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2095	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.1787	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.2314	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.2495	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.3061	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.1802	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2286	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.2212	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.2570	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.2124	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.2899	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.1693	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2563	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.1947	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2391	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.2296	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.2140	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2461	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.1770	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.1646	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.2193	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.2217	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.3000	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2075	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.2527	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.2320	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.2228	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2834	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.1740	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.1833	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.1899	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.2323	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2358	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.2157	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.2743	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.2809	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.1636	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.2193	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.2213	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.2137	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.1927	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2315	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2631	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2403	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.2717	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.2698	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.1872	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2170	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2108	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.2004	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.1520	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.2476	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.2205	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.2166	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.2255	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.1606	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.2118	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2432	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.2250	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.1764	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.2744	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.1981	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1705	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.1628	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.2081	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.1616	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.2273	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.2404	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.1394	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.2318	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.2241	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.2129	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.2096	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2092	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.2215	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2208	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2248	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.1872	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.1473	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.2245	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.2204	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.2068	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.2213	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.1505	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.1849	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.2535	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.2464	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.2270	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.1968	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.2195	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.2319	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.2440	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.2543	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.1733	LR: 0.004000
Training Epoch: 30 [41216/48700]	Loss: 0.2021	LR: 0.004000
Training Epoch: 30 [41472/48700]	Loss: 0.2212	LR: 0.004000
Training Epoch: 30 [41728/48700]	Loss: 0.2132	LR: 0.004000
Training Epoch: 30 [41984/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 30 [42240/48700]	Loss: 0.1591	LR: 0.004000
Training Epoch: 30 [42496/48700]	Loss: 0.1743	LR: 0.004000
Training Epoch: 30 [42752/48700]	Loss: 0.2080	LR: 0.004000
Training Epoch: 30 [43008/48700]	Loss: 0.1946	LR: 0.004000
Training Epoch: 30 [43264/48700]	Loss: 0.2367	LR: 0.004000
Training Epoch: 30 [43520/48700]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [43776/48700]	Loss: 0.1646	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.1751	LR: 0.004000
Training Epoch: 30 [44288/48700]	Loss: 0.2094	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.1980	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.1848	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.2108	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.1805	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.1669	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2407	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.2331	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.1773	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.2245	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.2466	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.2469	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.1549	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.1758	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.1805	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.2815	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.1972	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.3090	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2233, Train Accuracy: 0.9293
Epoch 30 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0026, Accuracy: 0.8081, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.2122	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1858	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.1788	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.1838	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.1917	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.1574	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.1952	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 31 [3072/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 31 [3328/48700]	Loss: 0.2041	LR: 0.004000
Training Epoch: 31 [3584/48700]	Loss: 0.1896	LR: 0.004000
Training Epoch: 31 [3840/48700]	Loss: 0.1356	LR: 0.004000
Training Epoch: 31 [4096/48700]	Loss: 0.1719	LR: 0.004000
Training Epoch: 31 [4352/48700]	Loss: 0.1693	LR: 0.004000
Training Epoch: 31 [4608/48700]	Loss: 0.1474	LR: 0.004000
Training Epoch: 31 [4864/48700]	Loss: 0.1319	LR: 0.004000
Training Epoch: 31 [5120/48700]	Loss: 0.1693	LR: 0.004000
Training Epoch: 31 [5376/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 31 [5632/48700]	Loss: 0.1577	LR: 0.004000
Training Epoch: 31 [5888/48700]	Loss: 0.2154	LR: 0.004000
Training Epoch: 31 [6144/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 31 [6400/48700]	Loss: 0.1855	LR: 0.004000
Training Epoch: 31 [6656/48700]	Loss: 0.1611	LR: 0.004000
Training Epoch: 31 [6912/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 31 [7168/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 31 [7424/48700]	Loss: 0.2287	LR: 0.004000
Training Epoch: 31 [7680/48700]	Loss: 0.1606	LR: 0.004000
Training Epoch: 31 [7936/48700]	Loss: 0.1933	LR: 0.004000
Training Epoch: 31 [8192/48700]	Loss: 0.1548	LR: 0.004000
Training Epoch: 31 [8448/48700]	Loss: 0.1616	LR: 0.004000
Training Epoch: 31 [8704/48700]	Loss: 0.1698	LR: 0.004000
Training Epoch: 31 [8960/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 31 [9216/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 31 [9472/48700]	Loss: 0.2285	LR: 0.004000
Training Epoch: 31 [9728/48700]	Loss: 0.1954	LR: 0.004000
Training Epoch: 31 [9984/48700]	Loss: 0.1761	LR: 0.004000
Training Epoch: 31 [10240/48700]	Loss: 0.1699	LR: 0.004000
Training Epoch: 31 [10496/48700]	Loss: 0.1902	LR: 0.004000
Training Epoch: 31 [10752/48700]	Loss: 0.2116	LR: 0.004000
Training Epoch: 31 [11008/48700]	Loss: 0.1921	LR: 0.004000
Training Epoch: 31 [11264/48700]	Loss: 0.1839	LR: 0.004000
Training Epoch: 31 [11520/48700]	Loss: 0.1892	LR: 0.004000
Training Epoch: 31 [11776/48700]	Loss: 0.1808	LR: 0.004000
Training Epoch: 31 [12032/48700]	Loss: 0.2149	LR: 0.004000
Training Epoch: 31 [12288/48700]	Loss: 0.1942	LR: 0.004000
Training Epoch: 31 [12544/48700]	Loss: 0.1709	LR: 0.004000
Training Epoch: 31 [12800/48700]	Loss: 0.2145	LR: 0.004000
Training Epoch: 31 [13056/48700]	Loss: 0.1348	LR: 0.004000
Training Epoch: 31 [13312/48700]	Loss: 0.2117	LR: 0.004000
Training Epoch: 31 [13568/48700]	Loss: 0.1635	LR: 0.004000
Training Epoch: 31 [13824/48700]	Loss: 0.1836	LR: 0.004000
Training Epoch: 31 [14080/48700]	Loss: 0.1755	LR: 0.004000
Training Epoch: 31 [14336/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 31 [14592/48700]	Loss: 0.1870	LR: 0.004000
Training Epoch: 31 [14848/48700]	Loss: 0.1451	LR: 0.004000
Training Epoch: 31 [15104/48700]	Loss: 0.1413	LR: 0.004000
Training Epoch: 31 [15360/48700]	Loss: 0.1446	LR: 0.004000
Training Epoch: 31 [15616/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 31 [15872/48700]	Loss: 0.1657	LR: 0.004000
Training Epoch: 31 [16128/48700]	Loss: 0.1272	LR: 0.004000
Training Epoch: 31 [16384/48700]	Loss: 0.1905	LR: 0.004000
Training Epoch: 31 [16640/48700]	Loss: 0.1724	LR: 0.004000
Training Epoch: 31 [16896/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 31 [17152/48700]	Loss: 0.1221	LR: 0.004000
Training Epoch: 31 [17408/48700]	Loss: 0.2036	LR: 0.004000
Training Epoch: 31 [17664/48700]	Loss: 0.1733	LR: 0.004000
Training Epoch: 31 [17920/48700]	Loss: 0.1784	LR: 0.004000
Training Epoch: 31 [18176/48700]	Loss: 0.2146	LR: 0.004000
Training Epoch: 31 [18432/48700]	Loss: 0.1886	LR: 0.004000
Training Epoch: 31 [18688/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [18944/48700]	Loss: 0.1559	LR: 0.004000
Training Epoch: 31 [19200/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 31 [19456/48700]	Loss: 0.1546	LR: 0.004000
Training Epoch: 31 [19712/48700]	Loss: 0.1200	LR: 0.004000
Training Epoch: 31 [19968/48700]	Loss: 0.1910	LR: 0.004000
Training Epoch: 31 [20224/48700]	Loss: 0.1929	LR: 0.004000
Training Epoch: 31 [20480/48700]	Loss: 0.1913	LR: 0.004000
Training Epoch: 31 [20736/48700]	Loss: 0.1662	LR: 0.004000
Training Epoch: 31 [20992/48700]	Loss: 0.1863	LR: 0.004000
Training Epoch: 31 [21248/48700]	Loss: 0.2260	LR: 0.004000
Training Epoch: 31 [21504/48700]	Loss: 0.2013	LR: 0.004000
Training Epoch: 31 [21760/48700]	Loss: 0.1663	LR: 0.004000
Training Epoch: 31 [22016/48700]	Loss: 0.1689	LR: 0.004000
Training Epoch: 31 [22272/48700]	Loss: 0.1468	LR: 0.004000
Training Epoch: 31 [22528/48700]	Loss: 0.1873	LR: 0.004000
Training Epoch: 31 [22784/48700]	Loss: 0.1988	LR: 0.004000
Training Epoch: 31 [23040/48700]	Loss: 0.2285	LR: 0.004000
Training Epoch: 31 [23296/48700]	Loss: 0.1495	LR: 0.004000
Training Epoch: 31 [23552/48700]	Loss: 0.2047	LR: 0.004000
Training Epoch: 31 [23808/48700]	Loss: 0.1903	LR: 0.004000
Training Epoch: 31 [24064/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 31 [24320/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 31 [24576/48700]	Loss: 0.1816	LR: 0.004000
Training Epoch: 31 [24832/48700]	Loss: 0.2422	LR: 0.004000
Training Epoch: 31 [25088/48700]	Loss: 0.1961	LR: 0.004000
Training Epoch: 31 [25344/48700]	Loss: 0.1586	LR: 0.004000
Training Epoch: 31 [25600/48700]	Loss: 0.2449	LR: 0.004000
Training Epoch: 31 [25856/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 31 [26112/48700]	Loss: 0.2734	LR: 0.004000
Training Epoch: 31 [26368/48700]	Loss: 0.1655	LR: 0.004000
Training Epoch: 31 [26624/48700]	Loss: 0.1389	LR: 0.004000
Training Epoch: 31 [26880/48700]	Loss: 0.1981	LR: 0.004000
Training Epoch: 31 [27136/48700]	Loss: 0.1561	LR: 0.004000
Training Epoch: 31 [27392/48700]	Loss: 0.1788	LR: 0.004000
Training Epoch: 31 [27648/48700]	Loss: 0.2249	LR: 0.004000
Training Epoch: 31 [27904/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 31 [28160/48700]	Loss: 0.1912	LR: 0.004000
Training Epoch: 31 [28416/48700]	Loss: 0.1579	LR: 0.004000
Training Epoch: 31 [28672/48700]	Loss: 0.1980	LR: 0.004000
Training Epoch: 31 [28928/48700]	Loss: 0.1935	LR: 0.004000
Training Epoch: 31 [29184/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 31 [29440/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 31 [29696/48700]	Loss: 0.1786	LR: 0.004000
Training Epoch: 31 [29952/48700]	Loss: 0.1838	LR: 0.004000
Training Epoch: 31 [30208/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 31 [30464/48700]	Loss: 0.1977	LR: 0.004000
Training Epoch: 31 [30720/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 31 [30976/48700]	Loss: 0.1849	LR: 0.004000
Training Epoch: 31 [31232/48700]	Loss: 0.1756	LR: 0.004000
Training Epoch: 31 [31488/48700]	Loss: 0.1754	LR: 0.004000
Training Epoch: 31 [31744/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 31 [32000/48700]	Loss: 0.1605	LR: 0.004000
Training Epoch: 31 [32256/48700]	Loss: 0.1417	LR: 0.004000
Training Epoch: 31 [32512/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 31 [32768/48700]	Loss: 0.1469	LR: 0.004000
Training Epoch: 31 [33024/48700]	Loss: 0.2448	LR: 0.004000
Training Epoch: 31 [33280/48700]	Loss: 0.1980	LR: 0.004000
Training Epoch: 31 [33536/48700]	Loss: 0.1899	LR: 0.004000
Training Epoch: 31 [33792/48700]	Loss: 0.2248	LR: 0.004000
Training Epoch: 31 [34048/48700]	Loss: 0.2166	LR: 0.004000
Training Epoch: 31 [34304/48700]	Loss: 0.2289	LR: 0.004000
Training Epoch: 31 [34560/48700]	Loss: 0.1382	LR: 0.004000
Training Epoch: 31 [34816/48700]	Loss: 0.2225	LR: 0.004000
Training Epoch: 31 [35072/48700]	Loss: 0.1960	LR: 0.004000
Training Epoch: 31 [35328/48700]	Loss: 0.1316	LR: 0.004000
Training Epoch: 31 [35584/48700]	Loss: 0.1709	LR: 0.004000
Training Epoch: 31 [35840/48700]	Loss: 0.1853	LR: 0.004000
Training Epoch: 31 [36096/48700]	Loss: 0.1923	LR: 0.004000
Training Epoch: 31 [36352/48700]	Loss: 0.1877	LR: 0.004000
Training Epoch: 31 [36608/48700]	Loss: 0.1973	LR: 0.004000
Training Epoch: 31 [36864/48700]	Loss: 0.2026	LR: 0.004000
Training Epoch: 31 [37120/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 31 [37376/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 31 [37632/48700]	Loss: 0.2376	LR: 0.004000
Training Epoch: 31 [37888/48700]	Loss: 0.1922	LR: 0.004000
Training Epoch: 31 [38144/48700]	Loss: 0.1710	LR: 0.004000
Training Epoch: 31 [38400/48700]	Loss: 0.1997	LR: 0.004000
Training Epoch: 31 [38656/48700]	Loss: 0.1425	LR: 0.004000
Training Epoch: 31 [38912/48700]	Loss: 0.1582	LR: 0.004000
Training Epoch: 31 [39168/48700]	Loss: 0.1854	LR: 0.004000
Training Epoch: 31 [39424/48700]	Loss: 0.1362	LR: 0.004000
Training Epoch: 31 [39680/48700]	Loss: 0.2088	LR: 0.004000
Training Epoch: 31 [39936/48700]	Loss: 0.1540	LR: 0.004000
Training Epoch: 31 [40192/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 31 [40448/48700]	Loss: 0.0986	LR: 0.004000
Training Epoch: 31 [40704/48700]	Loss: 0.1673	LR: 0.004000
Training Epoch: 31 [40960/48700]	Loss: 0.1323	LR: 0.004000
Training Epoch: 31 [41216/48700]	Loss: 0.2191	LR: 0.004000
Training Epoch: 31 [41472/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 31 [41728/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 31 [41984/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 31 [42240/48700]	Loss: 0.1681	LR: 0.004000
Training Epoch: 31 [42496/48700]	Loss: 0.1757	LR: 0.004000
Training Epoch: 31 [42752/48700]	Loss: 0.1403	LR: 0.004000
Training Epoch: 31 [43008/48700]	Loss: 0.1575	LR: 0.004000
Training Epoch: 31 [43264/48700]	Loss: 0.1202	LR: 0.004000
Training Epoch: 31 [43520/48700]	Loss: 0.1974	LR: 0.004000
Training Epoch: 31 [43776/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 31 [44032/48700]	Loss: 0.2021	LR: 0.004000
Training Epoch: 31 [44288/48700]	Loss: 0.1861	LR: 0.004000
Training Epoch: 31 [44544/48700]	Loss: 0.2065	LR: 0.004000
Training Epoch: 31 [44800/48700]	Loss: 0.1560	LR: 0.004000
Training Epoch: 31 [45056/48700]	Loss: 0.1973	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.1510	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.1785	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.1711	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.2183	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1225	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.2111	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.1130	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1957	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1366	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.1385	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1759, Train Accuracy: 0.9459
Epoch 31 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8087, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1308	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1964	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1381	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1260	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1254	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.1735	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.1757	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.1714	LR: 0.004000
Training Epoch: 32 [2304/48700]	Loss: 0.1402	LR: 0.004000
Training Epoch: 32 [2560/48700]	Loss: 0.1342	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.1535	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.1204	LR: 0.004000
Training Epoch: 32 [3328/48700]	Loss: 0.1659	LR: 0.004000
Training Epoch: 32 [3584/48700]	Loss: 0.1456	LR: 0.004000
Training Epoch: 32 [3840/48700]	Loss: 0.1894	LR: 0.004000
Training Epoch: 32 [4096/48700]	Loss: 0.1693	LR: 0.004000
Training Epoch: 32 [4352/48700]	Loss: 0.1830	LR: 0.004000
Training Epoch: 32 [4608/48700]	Loss: 0.1208	LR: 0.004000
Training Epoch: 32 [4864/48700]	Loss: 0.1559	LR: 0.004000
Training Epoch: 32 [5120/48700]	Loss: 0.1783	LR: 0.004000
Training Epoch: 32 [5376/48700]	Loss: 0.1408	LR: 0.004000
Training Epoch: 32 [5632/48700]	Loss: 0.1635	LR: 0.004000
Training Epoch: 32 [5888/48700]	Loss: 0.1002	LR: 0.004000
Training Epoch: 32 [6144/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 32 [6400/48700]	Loss: 0.1647	LR: 0.004000
Training Epoch: 32 [6656/48700]	Loss: 0.1688	LR: 0.004000
Training Epoch: 32 [6912/48700]	Loss: 0.1533	LR: 0.004000
Training Epoch: 32 [7168/48700]	Loss: 0.1608	LR: 0.004000
Training Epoch: 32 [7424/48700]	Loss: 0.2121	LR: 0.004000
Training Epoch: 32 [7680/48700]	Loss: 0.1269	LR: 0.004000
Training Epoch: 32 [7936/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 32 [8192/48700]	Loss: 0.1195	LR: 0.004000
Training Epoch: 32 [8448/48700]	Loss: 0.1707	LR: 0.004000
Training Epoch: 32 [8704/48700]	Loss: 0.1744	LR: 0.004000
Training Epoch: 32 [8960/48700]	Loss: 0.1290	LR: 0.004000
Training Epoch: 32 [9216/48700]	Loss: 0.1756	LR: 0.004000
Training Epoch: 32 [9472/48700]	Loss: 0.1078	LR: 0.004000
Training Epoch: 32 [9728/48700]	Loss: 0.1542	LR: 0.004000
Training Epoch: 32 [9984/48700]	Loss: 0.1831	LR: 0.004000
Training Epoch: 32 [10240/48700]	Loss: 0.1513	LR: 0.004000
Training Epoch: 32 [10496/48700]	Loss: 0.1586	LR: 0.004000
Training Epoch: 32 [10752/48700]	Loss: 0.1799	LR: 0.004000
Training Epoch: 32 [11008/48700]	Loss: 0.1842	LR: 0.004000
Training Epoch: 32 [11264/48700]	Loss: 0.1356	LR: 0.004000
Training Epoch: 32 [11520/48700]	Loss: 0.1900	LR: 0.004000
Training Epoch: 32 [11776/48700]	Loss: 0.2206	LR: 0.004000
Training Epoch: 32 [12032/48700]	Loss: 0.1882	LR: 0.004000
Training Epoch: 32 [12288/48700]	Loss: 0.1624	LR: 0.004000
Training Epoch: 32 [12544/48700]	Loss: 0.1763	LR: 0.004000
Training Epoch: 32 [12800/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 32 [13056/48700]	Loss: 0.2189	LR: 0.004000
Training Epoch: 32 [13312/48700]	Loss: 0.1513	LR: 0.004000
Training Epoch: 32 [13568/48700]	Loss: 0.1753	LR: 0.004000
Training Epoch: 32 [13824/48700]	Loss: 0.1196	LR: 0.004000
Training Epoch: 32 [14080/48700]	Loss: 0.1815	LR: 0.004000
Training Epoch: 32 [14336/48700]	Loss: 0.1335	LR: 0.004000
Training Epoch: 32 [14592/48700]	Loss: 0.1895	LR: 0.004000
Training Epoch: 32 [14848/48700]	Loss: 0.1522	LR: 0.004000
Training Epoch: 32 [15104/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 32 [15360/48700]	Loss: 0.1741	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.1339	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.1763	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.1867	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.1523	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.1710	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.1363	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.2361	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.1514	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.2054	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.1783	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.1227	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.1477	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.1292	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.1181	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.1504	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.1032	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.1530	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.1523	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.1526	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.0908	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.1845	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.2071	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.1570	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.1802	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.1194	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.1681	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.1296	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.1170	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.1427	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.1319	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.1189	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.0993	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.1772	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.1720	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.1307	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.1898	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.1327	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.1740	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.1819	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.1610	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.1413	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.1886	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.1263	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.1445	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.1294	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.1927	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.1709	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.1581	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.1022	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.2140	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.0973	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.1497	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.0948	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.1637	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.1564	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.1158	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.1428	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.1955	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.1387	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.2145	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.1495	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.1903	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.1498	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.1767	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.1716	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.1479	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.1432	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.1434	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.2003	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.1879	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.1404	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.1176	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.1111	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.1758	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.1595	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.1700	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.1486	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.1391	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.1736	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.1696	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.2593	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.1676	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.1409	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.1648	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.2160	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.1465	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.1653	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.1508	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.1587	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.1835	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.1240	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.1438	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.1637	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.1473	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.1071	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.1837	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.1371	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.2032	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.1338	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.1903	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.2041	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.1696	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.1591	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.1260	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.1184	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.3182	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1573, Train Accuracy: 0.9535
Epoch 32 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8102, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.1496	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.1593	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.1569	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.1907	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.1615	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.1214	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.1474	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.1701	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.1744	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.1352	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.1745	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.1676	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.1588	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.1962	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.1403	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.1457	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.1159	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.1237	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.1267	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.1871	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.1053	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.1312	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.1673	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.1620	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.1792	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.1558	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.1876	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.0765	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.1712	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.1067	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.1726	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.1138	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.1185	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.1332	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.1028	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.1637	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.1019	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.1515	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.0993	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.2037	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.1337	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.1206	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.1417	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.1931	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.1626	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.1685	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.1495	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.1008	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.1478	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.1800	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.1801	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.1684	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.1903	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.1529	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.1142	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.1327	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.1841	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.1620	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.1447	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.1539	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.1398	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.1954	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.2016	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.1259	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.1247	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.1438	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.2002	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.1636	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.1124	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.0895	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.1577	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.1785	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.1099	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.2010	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.1340	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.1106	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.1288	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.1900	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.1707	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.1447	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.1247	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.1074	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.1917	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.1420	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.1605	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.1148	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.1988	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.1762	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.1411	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.1172	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.1585	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.1648	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.1299	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.1384	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.1921	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.1528	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.1086	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.1188	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.1540	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.1353	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.0996	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.1589	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.1762	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.1336	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.1319	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.1644	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.1452	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.1403	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.1104	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.1838	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.1394	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.1455	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.1417	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.0899	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.1643	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.1517	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.1490	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.1068	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.1314	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.1926	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.1183	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.1558	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.0946	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1464	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.1505	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.1904	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.1694	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.1253	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.1323	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1257	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1488	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.1014	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1005	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1421	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1151	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.1100	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1435	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.0904	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1713	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1575	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.2013	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1567	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1600	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.1065	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1471, Train Accuracy: 0.9554
Epoch 33 training time consumed: 29.45s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0027, Accuracy: 0.8092, Time consumed:0.94s
Training Epoch: 34 [256/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.1227	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.0914	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1148	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1241	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1164	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1371	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1533	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1382	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.1329	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.1083	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.1084	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.1532	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.1029	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.1635	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1336	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.0903	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.1298	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.1090	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.1399	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.1373	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.1066	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.0976	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.1135	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.1680	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.1582	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.1231	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.1318	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.0910	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.1626	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.1386	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.1700	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.1398	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.0785	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.0899	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.1893	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.1204	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.1438	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.1219	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.1394	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.0876	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.1385	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.0799	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.1888	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.1517	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.1634	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.0871	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.1304	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.0799	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.1129	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.1079	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.1307	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.1094	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.1535	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.1895	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.1429	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.2089	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.1335	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.1076	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.1220	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.1184	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.1573	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.1205	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.1804	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.1245	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.1493	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.1953	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.1443	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.1327	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.0818	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.1690	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.1421	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.1755	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.1692	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.1577	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.1078	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.1197	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.1674	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.1201	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.1651	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.1564	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.2050	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.1526	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.1305	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.1444	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.1305	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.1125	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.1535	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.0968	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.1457	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.1555	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.1266	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.1375	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.1740	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.1629	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.1046	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.1617	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.1469	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.1408	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.1717	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.1077	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.0852	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.1194	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.1295	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.1033	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.1702	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.1199	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.1293	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.1707	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.1286	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.1400	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.1209	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.1251	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.1392	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.1078	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.1435	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.2463	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.1067	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.1233	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.1728	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.1455	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.1118	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.1557	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.1267	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.1194	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.1947	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.1549	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.1067	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.1299	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.1203	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.1179	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.1092	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.1147	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.2093	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.1157	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.1150	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1377	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1558	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1476	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.0989	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1089	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1065	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.1473	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.1889	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1701	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.1757	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1361, Train Accuracy: 0.9589
Epoch 34 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8102, Time consumed:0.90s
Training Epoch: 35 [256/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1210	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1568	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.1178	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.1417	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.1299	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.1653	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.0964	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.1298	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.1358	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.1295	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.1367	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.1256	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.0816	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.0798	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.1025	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.1641	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.1443	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.1327	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.0971	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 35 [14592/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [14848/48700]	Loss: 0.1251	LR: 0.000800
Training Epoch: 35 [15104/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 35 [15360/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [15616/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 35 [15872/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 35 [16128/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 35 [16384/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 35 [16640/48700]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [16896/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 35 [17152/48700]	Loss: 0.1746	LR: 0.000800
Training Epoch: 35 [17408/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 35 [17664/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [17920/48700]	Loss: 0.1389	LR: 0.000800
Training Epoch: 35 [18176/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [18432/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 35 [18688/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 35 [18944/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 35 [19200/48700]	Loss: 0.1378	LR: 0.000800
Training Epoch: 35 [19456/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 35 [19712/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 35 [19968/48700]	Loss: 0.1285	LR: 0.000800
Training Epoch: 35 [20224/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 35 [20480/48700]	Loss: 0.0626	LR: 0.000800
Training Epoch: 35 [20736/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [20992/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 35 [21248/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [21504/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 35 [21760/48700]	Loss: 0.1542	LR: 0.000800
Training Epoch: 35 [22016/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 35 [22272/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 35 [22528/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [22784/48700]	Loss: 0.1393	LR: 0.000800
Training Epoch: 35 [23040/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 35 [23296/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 35 [23552/48700]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [23808/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 35 [24064/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [24320/48700]	Loss: 0.1598	LR: 0.000800
Training Epoch: 35 [24576/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 35 [24832/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 35 [25088/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 35 [25344/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [25600/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [25856/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 35 [26112/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 35 [26368/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 35 [26624/48700]	Loss: 0.1175	LR: 0.000800
Training Epoch: 35 [26880/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 35 [27136/48700]	Loss: 0.1460	LR: 0.000800
Training Epoch: 35 [27392/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 35 [27648/48700]	Loss: 0.1021	LR: 0.000800
Training Epoch: 35 [27904/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 35 [28160/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [28416/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 35 [28672/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 35 [28928/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 35 [29184/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [29440/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 35 [29696/48700]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [29952/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 35 [30208/48700]	Loss: 0.1642	LR: 0.000800
Training Epoch: 35 [30464/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 35 [30720/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [30976/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 35 [31232/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 35 [31488/48700]	Loss: 0.0805	LR: 0.000800
Training Epoch: 35 [31744/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 35 [32000/48700]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [32256/48700]	Loss: 0.1272	LR: 0.000800
Training Epoch: 35 [32512/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 35 [32768/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 35 [33024/48700]	Loss: 0.1169	LR: 0.000800
Training Epoch: 35 [33280/48700]	Loss: 0.1796	LR: 0.000800
Training Epoch: 35 [33536/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 35 [33792/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 35 [34048/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [34304/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 35 [34560/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [34816/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 35 [35072/48700]	Loss: 0.1603	LR: 0.000800
Training Epoch: 35 [35328/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [35584/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 35 [35840/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 35 [36096/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 35 [36352/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [36608/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 35 [36864/48700]	Loss: 0.1318	LR: 0.000800
Training Epoch: 35 [37120/48700]	Loss: 0.0951	LR: 0.000800
Training Epoch: 35 [37376/48700]	Loss: 0.1328	LR: 0.000800
Training Epoch: 35 [37632/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 35 [37888/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 35 [38144/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [38400/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 35 [38656/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 35 [38912/48700]	Loss: 0.1387	LR: 0.000800
Training Epoch: 35 [39168/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 35 [39424/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 35 [39680/48700]	Loss: 0.1677	LR: 0.000800
Training Epoch: 35 [39936/48700]	Loss: 0.1386	LR: 0.000800
Training Epoch: 35 [40192/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 35 [40448/48700]	Loss: 0.1359	LR: 0.000800
Training Epoch: 35 [40704/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 35 [40960/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 35 [41216/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [41472/48700]	Loss: 0.0889	LR: 0.000800
Training Epoch: 35 [41728/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 35 [41984/48700]	Loss: 0.1511	LR: 0.000800
Training Epoch: 35 [42240/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 35 [42496/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 35 [42752/48700]	Loss: 0.1375	LR: 0.000800
Training Epoch: 35 [43008/48700]	Loss: 0.1498	LR: 0.000800
Training Epoch: 35 [43264/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 35 [43520/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [43776/48700]	Loss: 0.1512	LR: 0.000800
Training Epoch: 35 [44032/48700]	Loss: 0.1577	LR: 0.000800
Training Epoch: 35 [44288/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 35 [44544/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 35 [44800/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [45056/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.0723	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.1714	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.1333	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1370	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1166	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1139	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.0775	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1165, Train Accuracy: 0.9666
Epoch 35 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8136, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_07h_33m_15s/ResNet18-Cifar20-seed5-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 36 [512/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 36 [768/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 36 [1024/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [1280/48700]	Loss: 0.1423	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.1428	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.0836	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.1439	LR: 0.000800
Training Epoch: 36 [2304/48700]	Loss: 0.0594	LR: 0.000800
Training Epoch: 36 [2560/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 36 [2816/48700]	Loss: 0.1364	LR: 0.000800
Training Epoch: 36 [3072/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 36 [3328/48700]	Loss: 0.1337	LR: 0.000800
Training Epoch: 36 [3584/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [3840/48700]	Loss: 0.0766	LR: 0.000800
Training Epoch: 36 [4096/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [4352/48700]	Loss: 0.1534	LR: 0.000800
Training Epoch: 36 [4608/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 36 [4864/48700]	Loss: 0.1429	LR: 0.000800
Training Epoch: 36 [5120/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [5376/48700]	Loss: 0.1075	LR: 0.000800
Training Epoch: 36 [5632/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 36 [5888/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 36 [6144/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 36 [6400/48700]	Loss: 0.0772	LR: 0.000800
Training Epoch: 36 [6656/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [6912/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 36 [7168/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 36 [7424/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 36 [7680/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 36 [7936/48700]	Loss: 0.1659	LR: 0.000800
Training Epoch: 36 [8192/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 36 [8448/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [8704/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 36 [8960/48700]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [9216/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 36 [9472/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 36 [9728/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 36 [9984/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 36 [10240/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [10496/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 36 [10752/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 36 [11008/48700]	Loss: 0.1581	LR: 0.000800
Training Epoch: 36 [11264/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [11520/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [11776/48700]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [12032/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 36 [12288/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [12544/48700]	Loss: 0.1274	LR: 0.000800
Training Epoch: 36 [12800/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 36 [13056/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 36 [13312/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 36 [13568/48700]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [13824/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 36 [14080/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 36 [14336/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 36 [14592/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 36 [14848/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 36 [15104/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 36 [15360/48700]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [15616/48700]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [15872/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 36 [16128/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 36 [16384/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 36 [16640/48700]	Loss: 0.1339	LR: 0.000800
Training Epoch: 36 [16896/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [17152/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 36 [17408/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 36 [17664/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 36 [17920/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 36 [18176/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 36 [18432/48700]	Loss: 0.0741	LR: 0.000800
Training Epoch: 36 [18688/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 36 [18944/48700]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [19200/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 36 [19456/48700]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [19712/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 36 [19968/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [20224/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 36 [20480/48700]	Loss: 0.1776	LR: 0.000800
Training Epoch: 36 [20736/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 36 [20992/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 36 [21248/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 36 [21504/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [21760/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 36 [22016/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [22272/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 36 [22528/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [22784/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 36 [23040/48700]	Loss: 0.1264	LR: 0.000800
Training Epoch: 36 [23296/48700]	Loss: 0.0704	LR: 0.000800
Training Epoch: 36 [23552/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 36 [23808/48700]	Loss: 0.1283	LR: 0.000800
Training Epoch: 36 [24064/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 36 [24320/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 36 [24576/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 36 [24832/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 36 [25088/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 36 [25344/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 36 [25600/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [25856/48700]	Loss: 0.1244	LR: 0.000800
Training Epoch: 36 [26112/48700]	Loss: 0.1367	LR: 0.000800
Training Epoch: 36 [26368/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 36 [26624/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 36 [26880/48700]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [27136/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 36 [27392/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 36 [27648/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 36 [27904/48700]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [28160/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [28416/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [28672/48700]	Loss: 0.1409	LR: 0.000800
Training Epoch: 36 [28928/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [29184/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 36 [29440/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [29696/48700]	Loss: 0.1292	LR: 0.000800
Training Epoch: 36 [29952/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [30208/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [30464/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 36 [30720/48700]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [30976/48700]	Loss: 0.1511	LR: 0.000800
Training Epoch: 36 [31232/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 36 [31488/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 36 [31744/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [32000/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 36 [32256/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 36 [32512/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 36 [32768/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 36 [33024/48700]	Loss: 0.0712	LR: 0.000800
Training Epoch: 36 [33280/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 36 [33536/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 36 [33792/48700]	Loss: 0.1380	LR: 0.000800
Training Epoch: 36 [34048/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 36 [34304/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 36 [34560/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 36 [34816/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 36 [35072/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 36 [35328/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 36 [35584/48700]	Loss: 0.1567	LR: 0.000800
Training Epoch: 36 [35840/48700]	Loss: 0.1384	LR: 0.000800
Training Epoch: 36 [36096/48700]	Loss: 0.1453	LR: 0.000800
Training Epoch: 36 [36352/48700]	Loss: 0.1504	LR: 0.000800
Training Epoch: 36 [36608/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 36 [36864/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [37120/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 36 [37376/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [37632/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 36 [37888/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 36 [38144/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [38400/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 36 [38656/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 36 [38912/48700]	Loss: 0.1496	LR: 0.000800
Training Epoch: 36 [39168/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 36 [39424/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 36 [39680/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.1405	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.1289	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.1629	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.1444	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.1250	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.0781	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.1346	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.0984	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.1173	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.0989	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.1200	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.0753	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.1539	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.1885	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1144, Train Accuracy: 0.9671
Epoch 36 training time consumed: 29.89s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8122, Time consumed:0.89s
Training Epoch: 37 [256/48700]	Loss: 0.1540	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.0878	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.0713	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.1484	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.0767	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.1489	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.1397	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.1510	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.0727	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.1366	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.0887	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.0691	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.1494	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.1264	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.0781	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.1064	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.1374	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.1013	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 37 [17920/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [18176/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.1220	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.1383	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 37 [20992/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 37 [21248/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 37 [21504/48700]	Loss: 0.1100	LR: 0.000800
Training Epoch: 37 [21760/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [22016/48700]	Loss: 0.1420	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 37 [22784/48700]	Loss: 0.1400	LR: 0.000800
Training Epoch: 37 [23040/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 37 [23552/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 37 [23808/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [24320/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [24576/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [24832/48700]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 37 [25344/48700]	Loss: 0.0678	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.0769	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.0780	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.1255	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.1290	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.1259	LR: 0.000800
Training Epoch: 37 [29184/48700]	Loss: 0.1602	LR: 0.000800
Training Epoch: 37 [29440/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.0850	LR: 0.000800
Training Epoch: 37 [29952/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 37 [30208/48700]	Loss: 0.0580	LR: 0.000800
Training Epoch: 37 [30464/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [31232/48700]	Loss: 0.1385	LR: 0.000800
Training Epoch: 37 [31488/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 37 [31744/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 37 [32000/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 37 [32256/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [32512/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [32768/48700]	Loss: 0.1376	LR: 0.000800
Training Epoch: 37 [33024/48700]	Loss: 0.1530	LR: 0.000800
Training Epoch: 37 [33280/48700]	Loss: 0.1401	LR: 0.000800
Training Epoch: 37 [33536/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [33792/48700]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [34048/48700]	Loss: 0.0737	LR: 0.000800
Training Epoch: 37 [34304/48700]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [34560/48700]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [34816/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 37 [35072/48700]	Loss: 0.1614	LR: 0.000800
Training Epoch: 37 [35328/48700]	Loss: 0.0861	LR: 0.000800
Training Epoch: 37 [35584/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 37 [35840/48700]	Loss: 0.0916	LR: 0.000800
Training Epoch: 37 [36096/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 37 [36352/48700]	Loss: 0.1028	LR: 0.000800
Training Epoch: 37 [36608/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 37 [36864/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.0807	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.0703	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.0604	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.0927	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.1209	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.1589	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 37 [40960/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [41216/48700]	Loss: 0.1388	LR: 0.000800
Training Epoch: 37 [41472/48700]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 37 [41984/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 37 [42240/48700]	Loss: 0.1759	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.1633	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.1779	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.0825	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1397	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.0743	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1092, Train Accuracy: 0.9689
Epoch 37 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0027, Accuracy: 0.8130, Time consumed:0.90s
Training Epoch: 38 [256/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.1576	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.1035	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.1267	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.0886	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.0705	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.0703	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.0779	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.0872	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.1412	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.1434	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 38 [6912/48700]	Loss: 0.1020	LR: 0.000800
Training Epoch: 38 [7168/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 38 [7424/48700]	Loss: 0.1449	LR: 0.000800
Training Epoch: 38 [7680/48700]	Loss: 0.0892	LR: 0.000800
Training Epoch: 38 [7936/48700]	Loss: 0.1615	LR: 0.000800
Training Epoch: 38 [8192/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 38 [8448/48700]	Loss: 0.0665	LR: 0.000800
Training Epoch: 38 [8704/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 38 [8960/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 38 [9216/48700]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [9472/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [9728/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 38 [9984/48700]	Loss: 0.0701	LR: 0.000800
Training Epoch: 38 [10240/48700]	Loss: 0.1235	LR: 0.000800
Training Epoch: 38 [10496/48700]	Loss: 0.0720	LR: 0.000800
Training Epoch: 38 [10752/48700]	Loss: 0.1021	LR: 0.000800
Training Epoch: 38 [11008/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 38 [11264/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 38 [11520/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 38 [11776/48700]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [12032/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.1276	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.1153	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.1481	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.1082	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.0749	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.0895	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.0977	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.0771	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1311	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.1560	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.0830	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.1482	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.1287	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.1021	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.1177	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.0540	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.1039	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.1288	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.0858	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.1088	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.1005	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.1444	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.1349	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.0853	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.1530	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1397	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1498	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.1337	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.1396	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.1525	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.1586	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.1576	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.1364	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.0815	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.0843	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.1326	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.1214	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.1480	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.0826	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.1334	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.1144	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.1121	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.1274	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.1479	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.1412	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.0928	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1022	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.0705	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.0674	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.1198	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.0742	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.1000	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.0975	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.0927	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.0690	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.1065	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.0761	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.1175	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.0898	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.0814	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2012	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1067, Train Accuracy: 0.9689
Epoch 38 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0027, Accuracy: 0.8129, Time consumed:0.89s
Training Epoch: 39 [256/48700]	Loss: 0.1179	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.0786	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.1241	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.1621	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.0685	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.1356	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.0747	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.1172	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.1295	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.0639	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.0731	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.0808	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.0808	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.0752	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.0558	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.0697	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.0589	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.0738	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.0982	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.1654	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.1198	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.0787	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.0807	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.1545	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.1097	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.1242	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.1557	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.0906	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.0967	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.0928	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1006	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.0859	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.0972	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.1573	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.1012	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0786	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.1402	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.0894	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.1364	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.1188	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.0848	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.1180	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.1390	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.1345	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.0741	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.0898	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.0708	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.1050	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.1334	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.0807	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.0850	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1136	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.0746	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.0970	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.1559	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.1176	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.1219	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.1417	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.0947	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1152	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.0820	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.1509	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.1182	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.0860	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.1647	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.0697	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.0838	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.1107	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.1244	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.1456	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.1032	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1151	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1140	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1052, Train Accuracy: 0.9713
Epoch 39 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8095, Time consumed:0.93s
Training Epoch: 40 [256/48700]	Loss: 0.0699	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.1024	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.0604	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.1154	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.0731	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.0597	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.0833	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.1233	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.1361	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.1016	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1531	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.0906	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.1413	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.1015	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.0743	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.1373	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.1440	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.0913	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.0712	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.0751	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.1026	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.0769	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.1054	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.0722	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.0826	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1272	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.1208	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.0834	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.0808	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.1580	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.1555	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.0954	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.0949	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.0884	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.1164	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.0707	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.1254	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.0821	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.0806	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.0711	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.0603	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.1168	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.0925	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.0581	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.0762	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.0728	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.1266	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.0552	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.1277	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.1444	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.0533	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.1589	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.0978	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.0617	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.0561	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.1330	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.0622	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.0945	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1716	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.0725	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.0859	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.0723	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.0736	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.1357	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.0991	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.0695	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.1063	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.0769	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.1103	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.1185	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.1441	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.0789	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.0791	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.1198	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.0530	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.0804	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.0870	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.1198	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.0776	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.1132	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.0917	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1001, Train Accuracy: 0.9719
Epoch 40 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8119, Time consumed:0.91s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.19140625
Retain Accuracy: 97.6413803100586
Zero-Retain Forget (ZRF): 0.8995671272277832
Membership Inference Attack (MIA): 0.6046153846153847
Forget vs Retain Membership Inference Attack (MIA): 0.6096153846153847
Forget vs Test Membership Inference Attack (MIA): 0.525
Test vs Retain Membership Inference Attack (MIA): 0.5635
Train vs Test Membership Inference Attack (MIA): 0.60825
Forget Set Accuracy (Df): 78.05989837646484
Method Execution Time: 2181.41 seconds
