
📌 Retain class distribution for seed 4:
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 4:
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: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.1360	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1409	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.1131	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0809	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0501	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0139	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0008	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9384	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9594	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9151	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9004	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9142	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 3.0228	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8803	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.9751	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.9366	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 3.0085	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8622	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8369	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8794	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.9273	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.9395	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.8109	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7537	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6391	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7092	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7496	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7638	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6300	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7204	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6229	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6843	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.7816	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.8152	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5430	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.7211	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.7024	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.4598	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.6748	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.5812	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6219	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5493	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6183	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6085	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.4801	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6093	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.5333	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.6146	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6111	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.5831	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5060	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.4949	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4994	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.4615	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5340	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.6004	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5630	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5303	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.6429	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.6326	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5795	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5943	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5194	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5787	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5304	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5898	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.6285	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5864	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.6338	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.6202	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5945	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.6834	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5277	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.6417	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5587	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.7070	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5419	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.6474	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5212	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.6095	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.6330	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.5658	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.7520	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.5966	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.6077	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.6172	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5350	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.6158	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.5281	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.7181	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5838	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4093	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4737	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5431	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.5035	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4951	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.6109	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5110	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.6210	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.6677	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5452	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.5431	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4777	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5845	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3481	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.5784	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.5595	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.5437	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4596	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.6165	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4073	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4188	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4944	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5393	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3940	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.5491	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.6318	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.4771	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4945	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5226	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.5375	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4213	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4975	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.5010	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3900	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4789	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4354	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4055	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4698	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4354	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4480	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3260	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4929	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.3844	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.4024	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4162	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4174	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.3759	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3723	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4741	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4062	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3711	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.5177	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.2838	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.4034	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4686	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3699	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3673	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.5803	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.6725	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4994	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4511	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4118	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.4677	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4014	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.5947	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4766	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2893	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3463	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3934	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.4683	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3235	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.2820	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3636	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.2130	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4563	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.2826	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4331	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4425	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3385	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3736	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.4319	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3276	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3494	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3964	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.4394	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.2896	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2074	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.4299	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3309	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.5629	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5744, Train Accuracy: 0.2093
Epoch 1 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0109, Accuracy: 0.2174, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.5037	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.4446	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3952	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.4031	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.5696	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2726	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.2171	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.5054	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.3232	LR: 0.100000
Training Epoch: 2 [2560/46200]	Loss: 2.4259	LR: 0.100000
Training Epoch: 2 [2816/46200]	Loss: 2.4624	LR: 0.100000
Training Epoch: 2 [3072/46200]	Loss: 2.3689	LR: 0.100000
Training Epoch: 2 [3328/46200]	Loss: 2.3141	LR: 0.100000
Training Epoch: 2 [3584/46200]	Loss: 2.3645	LR: 0.100000
Training Epoch: 2 [3840/46200]	Loss: 2.3667	LR: 0.100000
Training Epoch: 2 [4096/46200]	Loss: 2.3564	LR: 0.100000
Training Epoch: 2 [4352/46200]	Loss: 2.3315	LR: 0.100000
Training Epoch: 2 [4608/46200]	Loss: 2.3654	LR: 0.100000
Training Epoch: 2 [4864/46200]	Loss: 2.4623	LR: 0.100000
Training Epoch: 2 [5120/46200]	Loss: 2.1941	LR: 0.100000
Training Epoch: 2 [5376/46200]	Loss: 2.2895	LR: 0.100000
Training Epoch: 2 [5632/46200]	Loss: 2.2876	LR: 0.100000
Training Epoch: 2 [5888/46200]	Loss: 2.3907	LR: 0.100000
Training Epoch: 2 [6144/46200]	Loss: 2.3228	LR: 0.100000
Training Epoch: 2 [6400/46200]	Loss: 2.2556	LR: 0.100000
Training Epoch: 2 [6656/46200]	Loss: 2.4229	LR: 0.100000
Training Epoch: 2 [6912/46200]	Loss: 2.2220	LR: 0.100000
Training Epoch: 2 [7168/46200]	Loss: 2.3678	LR: 0.100000
Training Epoch: 2 [7424/46200]	Loss: 2.4388	LR: 0.100000
Training Epoch: 2 [7680/46200]	Loss: 2.2845	LR: 0.100000
Training Epoch: 2 [7936/46200]	Loss: 2.3041	LR: 0.100000
Training Epoch: 2 [8192/46200]	Loss: 2.1703	LR: 0.100000
Training Epoch: 2 [8448/46200]	Loss: 2.2170	LR: 0.100000
Training Epoch: 2 [8704/46200]	Loss: 2.1293	LR: 0.100000
Training Epoch: 2 [8960/46200]	Loss: 2.3314	LR: 0.100000
Training Epoch: 2 [9216/46200]	Loss: 2.1359	LR: 0.100000
Training Epoch: 2 [9472/46200]	Loss: 2.3119	LR: 0.100000
Training Epoch: 2 [9728/46200]	Loss: 2.2587	LR: 0.100000
Training Epoch: 2 [9984/46200]	Loss: 2.3357	LR: 0.100000
Training Epoch: 2 [10240/46200]	Loss: 2.1157	LR: 0.100000
Training Epoch: 2 [10496/46200]	Loss: 2.1833	LR: 0.100000
Training Epoch: 2 [10752/46200]	Loss: 2.2327	LR: 0.100000
Training Epoch: 2 [11008/46200]	Loss: 2.1954	LR: 0.100000
Training Epoch: 2 [11264/46200]	Loss: 2.3501	LR: 0.100000
Training Epoch: 2 [11520/46200]	Loss: 2.2267	LR: 0.100000
Training Epoch: 2 [11776/46200]	Loss: 2.3664	LR: 0.100000
Training Epoch: 2 [12032/46200]	Loss: 2.3184	LR: 0.100000
Training Epoch: 2 [12288/46200]	Loss: 2.1295	LR: 0.100000
Training Epoch: 2 [12544/46200]	Loss: 2.3123	LR: 0.100000
Training Epoch: 2 [12800/46200]	Loss: 2.2062	LR: 0.100000
Training Epoch: 2 [13056/46200]	Loss: 2.2492	LR: 0.100000
Training Epoch: 2 [13312/46200]	Loss: 2.2407	LR: 0.100000
Training Epoch: 2 [13568/46200]	Loss: 2.2632	LR: 0.100000
Training Epoch: 2 [13824/46200]	Loss: 2.3221	LR: 0.100000
Training Epoch: 2 [14080/46200]	Loss: 2.2086	LR: 0.100000
Training Epoch: 2 [14336/46200]	Loss: 2.1827	LR: 0.100000
Training Epoch: 2 [14592/46200]	Loss: 2.1037	LR: 0.100000
Training Epoch: 2 [14848/46200]	Loss: 2.2925	LR: 0.100000
Training Epoch: 2 [15104/46200]	Loss: 2.2517	LR: 0.100000
Training Epoch: 2 [15360/46200]	Loss: 2.2644	LR: 0.100000
Training Epoch: 2 [15616/46200]	Loss: 2.1711	LR: 0.100000
Training Epoch: 2 [15872/46200]	Loss: 2.2531	LR: 0.100000
Training Epoch: 2 [16128/46200]	Loss: 2.2935	LR: 0.100000
Training Epoch: 2 [16384/46200]	Loss: 2.3510	LR: 0.100000
Training Epoch: 2 [16640/46200]	Loss: 2.1961	LR: 0.100000
Training Epoch: 2 [16896/46200]	Loss: 2.1333	LR: 0.100000
Training Epoch: 2 [17152/46200]	Loss: 2.2165	LR: 0.100000
Training Epoch: 2 [17408/46200]	Loss: 2.2146	LR: 0.100000
Training Epoch: 2 [17664/46200]	Loss: 2.2890	LR: 0.100000
Training Epoch: 2 [17920/46200]	Loss: 2.0877	LR: 0.100000
Training Epoch: 2 [18176/46200]	Loss: 2.1976	LR: 0.100000
Training Epoch: 2 [18432/46200]	Loss: 2.1344	LR: 0.100000
Training Epoch: 2 [18688/46200]	Loss: 2.0761	LR: 0.100000
Training Epoch: 2 [18944/46200]	Loss: 2.1121	LR: 0.100000
Training Epoch: 2 [19200/46200]	Loss: 2.1477	LR: 0.100000
Training Epoch: 2 [19456/46200]	Loss: 2.2616	LR: 0.100000
Training Epoch: 2 [19712/46200]	Loss: 2.1331	LR: 0.100000
Training Epoch: 2 [19968/46200]	Loss: 2.1719	LR: 0.100000
Training Epoch: 2 [20224/46200]	Loss: 2.1876	LR: 0.100000
Training Epoch: 2 [20480/46200]	Loss: 2.0737	LR: 0.100000
Training Epoch: 2 [20736/46200]	Loss: 2.2122	LR: 0.100000
Training Epoch: 2 [20992/46200]	Loss: 2.1762	LR: 0.100000
Training Epoch: 2 [21248/46200]	Loss: 2.2679	LR: 0.100000
Training Epoch: 2 [21504/46200]	Loss: 2.1934	LR: 0.100000
Training Epoch: 2 [21760/46200]	Loss: 2.0306	LR: 0.100000
Training Epoch: 2 [22016/46200]	Loss: 2.2879	LR: 0.100000
Training Epoch: 2 [22272/46200]	Loss: 2.1044	LR: 0.100000
Training Epoch: 2 [22528/46200]	Loss: 2.2201	LR: 0.100000
Training Epoch: 2 [22784/46200]	Loss: 2.2951	LR: 0.100000
Training Epoch: 2 [23040/46200]	Loss: 2.0999	LR: 0.100000
Training Epoch: 2 [23296/46200]	Loss: 2.1205	LR: 0.100000
Training Epoch: 2 [23552/46200]	Loss: 2.2150	LR: 0.100000
Training Epoch: 2 [23808/46200]	Loss: 2.2196	LR: 0.100000
Training Epoch: 2 [24064/46200]	Loss: 2.1321	LR: 0.100000
Training Epoch: 2 [24320/46200]	Loss: 2.1225	LR: 0.100000
Training Epoch: 2 [24576/46200]	Loss: 2.2237	LR: 0.100000
Training Epoch: 2 [24832/46200]	Loss: 2.1004	LR: 0.100000
Training Epoch: 2 [25088/46200]	Loss: 2.2322	LR: 0.100000
Training Epoch: 2 [25344/46200]	Loss: 2.2173	LR: 0.100000
Training Epoch: 2 [25600/46200]	Loss: 2.1971	LR: 0.100000
Training Epoch: 2 [25856/46200]	Loss: 2.2402	LR: 0.100000
Training Epoch: 2 [26112/46200]	Loss: 2.1572	LR: 0.100000
Training Epoch: 2 [26368/46200]	Loss: 2.2409	LR: 0.100000
Training Epoch: 2 [26624/46200]	Loss: 2.1202	LR: 0.100000
Training Epoch: 2 [26880/46200]	Loss: 2.0887	LR: 0.100000
Training Epoch: 2 [27136/46200]	Loss: 2.1682	LR: 0.100000
Training Epoch: 2 [27392/46200]	Loss: 2.1946	LR: 0.100000
Training Epoch: 2 [27648/46200]	Loss: 2.2208	LR: 0.100000
Training Epoch: 2 [27904/46200]	Loss: 2.0766	LR: 0.100000
Training Epoch: 2 [28160/46200]	Loss: 2.1337	LR: 0.100000
Training Epoch: 2 [28416/46200]	Loss: 2.1764	LR: 0.100000
Training Epoch: 2 [28672/46200]	Loss: 2.1493	LR: 0.100000
Training Epoch: 2 [28928/46200]	Loss: 2.0495	LR: 0.100000
Training Epoch: 2 [29184/46200]	Loss: 2.0864	LR: 0.100000
Training Epoch: 2 [29440/46200]	Loss: 2.0814	LR: 0.100000
Training Epoch: 2 [29696/46200]	Loss: 2.2015	LR: 0.100000
Training Epoch: 2 [29952/46200]	Loss: 2.2249	LR: 0.100000
Training Epoch: 2 [30208/46200]	Loss: 2.2574	LR: 0.100000
Training Epoch: 2 [30464/46200]	Loss: 2.1039	LR: 0.100000
Training Epoch: 2 [30720/46200]	Loss: 2.0641	LR: 0.100000
Training Epoch: 2 [30976/46200]	Loss: 2.1703	LR: 0.100000
Training Epoch: 2 [31232/46200]	Loss: 2.1303	LR: 0.100000
Training Epoch: 2 [31488/46200]	Loss: 2.1561	LR: 0.100000
Training Epoch: 2 [31744/46200]	Loss: 2.0652	LR: 0.100000
Training Epoch: 2 [32000/46200]	Loss: 2.1455	LR: 0.100000
Training Epoch: 2 [32256/46200]	Loss: 2.2736	LR: 0.100000
Training Epoch: 2 [32512/46200]	Loss: 2.1374	LR: 0.100000
Training Epoch: 2 [32768/46200]	Loss: 2.0545	LR: 0.100000
Training Epoch: 2 [33024/46200]	Loss: 2.1826	LR: 0.100000
Training Epoch: 2 [33280/46200]	Loss: 2.0060	LR: 0.100000
Training Epoch: 2 [33536/46200]	Loss: 2.1291	LR: 0.100000
Training Epoch: 2 [33792/46200]	Loss: 2.0256	LR: 0.100000
Training Epoch: 2 [34048/46200]	Loss: 2.0136	LR: 0.100000
Training Epoch: 2 [34304/46200]	Loss: 2.0704	LR: 0.100000
Training Epoch: 2 [34560/46200]	Loss: 2.1297	LR: 0.100000
Training Epoch: 2 [34816/46200]	Loss: 2.1288	LR: 0.100000
Training Epoch: 2 [35072/46200]	Loss: 2.1671	LR: 0.100000
Training Epoch: 2 [35328/46200]	Loss: 2.2277	LR: 0.100000
Training Epoch: 2 [35584/46200]	Loss: 2.0715	LR: 0.100000
Training Epoch: 2 [35840/46200]	Loss: 2.1457	LR: 0.100000
Training Epoch: 2 [36096/46200]	Loss: 2.0426	LR: 0.100000
Training Epoch: 2 [36352/46200]	Loss: 2.1522	LR: 0.100000
Training Epoch: 2 [36608/46200]	Loss: 2.1544	LR: 0.100000
Training Epoch: 2 [36864/46200]	Loss: 2.0660	LR: 0.100000
Training Epoch: 2 [37120/46200]	Loss: 2.1451	LR: 0.100000
Training Epoch: 2 [37376/46200]	Loss: 2.0033	LR: 0.100000
Training Epoch: 2 [37632/46200]	Loss: 2.2349	LR: 0.100000
Training Epoch: 2 [37888/46200]	Loss: 1.9273	LR: 0.100000
Training Epoch: 2 [38144/46200]	Loss: 2.1086	LR: 0.100000
Training Epoch: 2 [38400/46200]	Loss: 2.0120	LR: 0.100000
Training Epoch: 2 [38656/46200]	Loss: 2.1123	LR: 0.100000
Training Epoch: 2 [38912/46200]	Loss: 2.1240	LR: 0.100000
Training Epoch: 2 [39168/46200]	Loss: 2.2602	LR: 0.100000
Training Epoch: 2 [39424/46200]	Loss: 2.0831	LR: 0.100000
Training Epoch: 2 [39680/46200]	Loss: 2.1005	LR: 0.100000
Training Epoch: 2 [39936/46200]	Loss: 2.1164	LR: 0.100000
Training Epoch: 2 [40192/46200]	Loss: 2.0253	LR: 0.100000
Training Epoch: 2 [40448/46200]	Loss: 2.1433	LR: 0.100000
Training Epoch: 2 [40704/46200]	Loss: 2.0555	LR: 0.100000
Training Epoch: 2 [40960/46200]	Loss: 2.1789	LR: 0.100000
Training Epoch: 2 [41216/46200]	Loss: 2.1220	LR: 0.100000
Training Epoch: 2 [41472/46200]	Loss: 1.9589	LR: 0.100000
Training Epoch: 2 [41728/46200]	Loss: 2.1651	LR: 0.100000
Training Epoch: 2 [41984/46200]	Loss: 2.1085	LR: 0.100000
Training Epoch: 2 [42240/46200]	Loss: 2.1169	LR: 0.100000
Training Epoch: 2 [42496/46200]	Loss: 2.0699	LR: 0.100000
Training Epoch: 2 [42752/46200]	Loss: 2.1536	LR: 0.100000
Training Epoch: 2 [43008/46200]	Loss: 2.1884	LR: 0.100000
Training Epoch: 2 [43264/46200]	Loss: 1.9979	LR: 0.100000
Training Epoch: 2 [43520/46200]	Loss: 2.0863	LR: 0.100000
Training Epoch: 2 [43776/46200]	Loss: 2.1260	LR: 0.100000
Training Epoch: 2 [44032/46200]	Loss: 2.1508	LR: 0.100000
Training Epoch: 2 [44288/46200]	Loss: 2.1485	LR: 0.100000
Training Epoch: 2 [44544/46200]	Loss: 2.0871	LR: 0.100000
Training Epoch: 2 [44800/46200]	Loss: 2.1271	LR: 0.100000
Training Epoch: 2 [45056/46200]	Loss: 2.0050	LR: 0.100000
Training Epoch: 2 [45312/46200]	Loss: 2.0337	LR: 0.100000
Training Epoch: 2 [45568/46200]	Loss: 2.1377	LR: 0.100000
Training Epoch: 2 [45824/46200]	Loss: 1.9802	LR: 0.100000
Training Epoch: 2 [46080/46200]	Loss: 1.9724	LR: 0.100000
Training Epoch: 2 [46200/46200]	Loss: 2.0060	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1926, Train Accuracy: 0.3184
Epoch 2 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3591, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-2-best.pth
Training Epoch: 3 [256/46200]	Loss: 2.1071	LR: 0.100000
Training Epoch: 3 [512/46200]	Loss: 2.0439	LR: 0.100000
Training Epoch: 3 [768/46200]	Loss: 2.1240	LR: 0.100000
Training Epoch: 3 [1024/46200]	Loss: 2.1495	LR: 0.100000
Training Epoch: 3 [1280/46200]	Loss: 2.0181	LR: 0.100000
Training Epoch: 3 [1536/46200]	Loss: 2.1688	LR: 0.100000
Training Epoch: 3 [1792/46200]	Loss: 2.0374	LR: 0.100000
Training Epoch: 3 [2048/46200]	Loss: 2.0329	LR: 0.100000
Training Epoch: 3 [2304/46200]	Loss: 2.0868	LR: 0.100000
Training Epoch: 3 [2560/46200]	Loss: 2.0504	LR: 0.100000
Training Epoch: 3 [2816/46200]	Loss: 2.1244	LR: 0.100000
Training Epoch: 3 [3072/46200]	Loss: 2.1726	LR: 0.100000
Training Epoch: 3 [3328/46200]	Loss: 2.1903	LR: 0.100000
Training Epoch: 3 [3584/46200]	Loss: 1.9408	LR: 0.100000
Training Epoch: 3 [3840/46200]	Loss: 1.9948	LR: 0.100000
Training Epoch: 3 [4096/46200]	Loss: 2.0993	LR: 0.100000
Training Epoch: 3 [4352/46200]	Loss: 2.0373	LR: 0.100000
Training Epoch: 3 [4608/46200]	Loss: 1.9568	LR: 0.100000
Training Epoch: 3 [4864/46200]	Loss: 1.9767	LR: 0.100000
Training Epoch: 3 [5120/46200]	Loss: 2.0421	LR: 0.100000
Training Epoch: 3 [5376/46200]	Loss: 2.1015	LR: 0.100000
Training Epoch: 3 [5632/46200]	Loss: 2.0614	LR: 0.100000
Training Epoch: 3 [5888/46200]	Loss: 1.9160	LR: 0.100000
Training Epoch: 3 [6144/46200]	Loss: 2.0722	LR: 0.100000
Training Epoch: 3 [6400/46200]	Loss: 1.9605	LR: 0.100000
Training Epoch: 3 [6656/46200]	Loss: 2.1755	LR: 0.100000
Training Epoch: 3 [6912/46200]	Loss: 2.1260	LR: 0.100000
Training Epoch: 3 [7168/46200]	Loss: 2.0293	LR: 0.100000
Training Epoch: 3 [7424/46200]	Loss: 1.9594	LR: 0.100000
Training Epoch: 3 [7680/46200]	Loss: 2.0114	LR: 0.100000
Training Epoch: 3 [7936/46200]	Loss: 1.9626	LR: 0.100000
Training Epoch: 3 [8192/46200]	Loss: 1.8644	LR: 0.100000
Training Epoch: 3 [8448/46200]	Loss: 2.0272	LR: 0.100000
Training Epoch: 3 [8704/46200]	Loss: 2.0690	LR: 0.100000
Training Epoch: 3 [8960/46200]	Loss: 2.0193	LR: 0.100000
Training Epoch: 3 [9216/46200]	Loss: 2.2367	LR: 0.100000
Training Epoch: 3 [9472/46200]	Loss: 2.0132	LR: 0.100000
Training Epoch: 3 [9728/46200]	Loss: 1.9398	LR: 0.100000
Training Epoch: 3 [9984/46200]	Loss: 2.0704	LR: 0.100000
Training Epoch: 3 [10240/46200]	Loss: 1.9832	LR: 0.100000
Training Epoch: 3 [10496/46200]	Loss: 2.0828	LR: 0.100000
Training Epoch: 3 [10752/46200]	Loss: 1.9039	LR: 0.100000
Training Epoch: 3 [11008/46200]	Loss: 2.1330	LR: 0.100000
Training Epoch: 3 [11264/46200]	Loss: 1.9306	LR: 0.100000
Training Epoch: 3 [11520/46200]	Loss: 2.1036	LR: 0.100000
Training Epoch: 3 [11776/46200]	Loss: 2.0000	LR: 0.100000
Training Epoch: 3 [12032/46200]	Loss: 2.0037	LR: 0.100000
Training Epoch: 3 [12288/46200]	Loss: 2.0746	LR: 0.100000
Training Epoch: 3 [12544/46200]	Loss: 2.0390	LR: 0.100000
Training Epoch: 3 [12800/46200]	Loss: 2.0088	LR: 0.100000
Training Epoch: 3 [13056/46200]	Loss: 2.0126	LR: 0.100000
Training Epoch: 3 [13312/46200]	Loss: 2.0051	LR: 0.100000
Training Epoch: 3 [13568/46200]	Loss: 1.9439	LR: 0.100000
Training Epoch: 3 [13824/46200]	Loss: 1.9854	LR: 0.100000
Training Epoch: 3 [14080/46200]	Loss: 1.9693	LR: 0.100000
Training Epoch: 3 [14336/46200]	Loss: 1.8994	LR: 0.100000
Training Epoch: 3 [14592/46200]	Loss: 2.0610	LR: 0.100000
Training Epoch: 3 [14848/46200]	Loss: 1.8066	LR: 0.100000
Training Epoch: 3 [15104/46200]	Loss: 1.9437	LR: 0.100000
Training Epoch: 3 [15360/46200]	Loss: 1.9135	LR: 0.100000
Training Epoch: 3 [15616/46200]	Loss: 2.0351	LR: 0.100000
Training Epoch: 3 [15872/46200]	Loss: 1.8161	LR: 0.100000
Training Epoch: 3 [16128/46200]	Loss: 1.9353	LR: 0.100000
Training Epoch: 3 [16384/46200]	Loss: 2.0229	LR: 0.100000
Training Epoch: 3 [16640/46200]	Loss: 1.9466	LR: 0.100000
Training Epoch: 3 [16896/46200]	Loss: 1.8669	LR: 0.100000
Training Epoch: 3 [17152/46200]	Loss: 1.9398	LR: 0.100000
Training Epoch: 3 [17408/46200]	Loss: 1.9497	LR: 0.100000
Training Epoch: 3 [17664/46200]	Loss: 2.0052	LR: 0.100000
Training Epoch: 3 [17920/46200]	Loss: 1.9791	LR: 0.100000
Training Epoch: 3 [18176/46200]	Loss: 2.0810	LR: 0.100000
Training Epoch: 3 [18432/46200]	Loss: 2.0575	LR: 0.100000
Training Epoch: 3 [18688/46200]	Loss: 1.9283	LR: 0.100000
Training Epoch: 3 [18944/46200]	Loss: 2.0941	LR: 0.100000
Training Epoch: 3 [19200/46200]	Loss: 1.8596	LR: 0.100000
Training Epoch: 3 [19456/46200]	Loss: 2.0009	LR: 0.100000
Training Epoch: 3 [19712/46200]	Loss: 2.0189	LR: 0.100000
Training Epoch: 3 [19968/46200]	Loss: 1.8904	LR: 0.100000
Training Epoch: 3 [20224/46200]	Loss: 1.8796	LR: 0.100000
Training Epoch: 3 [20480/46200]	Loss: 1.8970	LR: 0.100000
Training Epoch: 3 [20736/46200]	Loss: 1.9295	LR: 0.100000
Training Epoch: 3 [20992/46200]	Loss: 1.6996	LR: 0.100000
Training Epoch: 3 [21248/46200]	Loss: 1.9304	LR: 0.100000
Training Epoch: 3 [21504/46200]	Loss: 1.9995	LR: 0.100000
Training Epoch: 3 [21760/46200]	Loss: 2.0202	LR: 0.100000
Training Epoch: 3 [22016/46200]	Loss: 1.7823	LR: 0.100000
Training Epoch: 3 [22272/46200]	Loss: 1.9179	LR: 0.100000
Training Epoch: 3 [22528/46200]	Loss: 2.0312	LR: 0.100000
Training Epoch: 3 [22784/46200]	Loss: 2.0955	LR: 0.100000
Training Epoch: 3 [23040/46200]	Loss: 1.9699	LR: 0.100000
Training Epoch: 3 [23296/46200]	Loss: 1.9080	LR: 0.100000
Training Epoch: 3 [23552/46200]	Loss: 1.9645	LR: 0.100000
Training Epoch: 3 [23808/46200]	Loss: 1.8811	LR: 0.100000
Training Epoch: 3 [24064/46200]	Loss: 2.1163	LR: 0.100000
Training Epoch: 3 [24320/46200]	Loss: 2.0045	LR: 0.100000
Training Epoch: 3 [24576/46200]	Loss: 1.8247	LR: 0.100000
Training Epoch: 3 [24832/46200]	Loss: 1.8381	LR: 0.100000
Training Epoch: 3 [25088/46200]	Loss: 1.8595	LR: 0.100000
Training Epoch: 3 [25344/46200]	Loss: 1.9257	LR: 0.100000
Training Epoch: 3 [25600/46200]	Loss: 2.0258	LR: 0.100000
Training Epoch: 3 [25856/46200]	Loss: 1.8749	LR: 0.100000
Training Epoch: 3 [26112/46200]	Loss: 1.9130	LR: 0.100000
Training Epoch: 3 [26368/46200]	Loss: 1.8816	LR: 0.100000
Training Epoch: 3 [26624/46200]	Loss: 1.8755	LR: 0.100000
Training Epoch: 3 [26880/46200]	Loss: 2.0133	LR: 0.100000
Training Epoch: 3 [27136/46200]	Loss: 1.9854	LR: 0.100000
Training Epoch: 3 [27392/46200]	Loss: 1.8872	LR: 0.100000
Training Epoch: 3 [27648/46200]	Loss: 1.9023	LR: 0.100000
Training Epoch: 3 [27904/46200]	Loss: 1.9644	LR: 0.100000
Training Epoch: 3 [28160/46200]	Loss: 1.8811	LR: 0.100000
Training Epoch: 3 [28416/46200]	Loss: 1.9772	LR: 0.100000
Training Epoch: 3 [28672/46200]	Loss: 1.9155	LR: 0.100000
Training Epoch: 3 [28928/46200]	Loss: 2.0324	LR: 0.100000
Training Epoch: 3 [29184/46200]	Loss: 1.9294	LR: 0.100000
Training Epoch: 3 [29440/46200]	Loss: 1.9341	LR: 0.100000
Training Epoch: 3 [29696/46200]	Loss: 1.8853	LR: 0.100000
Training Epoch: 3 [29952/46200]	Loss: 1.8413	LR: 0.100000
Training Epoch: 3 [30208/46200]	Loss: 1.8693	LR: 0.100000
Training Epoch: 3 [30464/46200]	Loss: 1.9315	LR: 0.100000
Training Epoch: 3 [30720/46200]	Loss: 1.9809	LR: 0.100000
Training Epoch: 3 [30976/46200]	Loss: 1.8572	LR: 0.100000
Training Epoch: 3 [31232/46200]	Loss: 1.8336	LR: 0.100000
Training Epoch: 3 [31488/46200]	Loss: 1.7777	LR: 0.100000
Training Epoch: 3 [31744/46200]	Loss: 1.8867	LR: 0.100000
Training Epoch: 3 [32000/46200]	Loss: 1.7566	LR: 0.100000
Training Epoch: 3 [32256/46200]	Loss: 1.9018	LR: 0.100000
Training Epoch: 3 [32512/46200]	Loss: 1.8578	LR: 0.100000
Training Epoch: 3 [32768/46200]	Loss: 1.9331	LR: 0.100000
Training Epoch: 3 [33024/46200]	Loss: 1.8988	LR: 0.100000
Training Epoch: 3 [33280/46200]	Loss: 1.8846	LR: 0.100000
Training Epoch: 3 [33536/46200]	Loss: 2.1559	LR: 0.100000
Training Epoch: 3 [33792/46200]	Loss: 1.9760	LR: 0.100000
Training Epoch: 3 [34048/46200]	Loss: 1.8738	LR: 0.100000
Training Epoch: 3 [34304/46200]	Loss: 1.8926	LR: 0.100000
Training Epoch: 3 [34560/46200]	Loss: 1.8815	LR: 0.100000
Training Epoch: 3 [34816/46200]	Loss: 1.8530	LR: 0.100000
Training Epoch: 3 [35072/46200]	Loss: 1.7874	LR: 0.100000
Training Epoch: 3 [35328/46200]	Loss: 2.0086	LR: 0.100000
Training Epoch: 3 [35584/46200]	Loss: 1.8785	LR: 0.100000
Training Epoch: 3 [35840/46200]	Loss: 1.9189	LR: 0.100000
Training Epoch: 3 [36096/46200]	Loss: 1.8150	LR: 0.100000
Training Epoch: 3 [36352/46200]	Loss: 1.9429	LR: 0.100000
Training Epoch: 3 [36608/46200]	Loss: 1.8726	LR: 0.100000
Training Epoch: 3 [36864/46200]	Loss: 1.8166	LR: 0.100000
Training Epoch: 3 [37120/46200]	Loss: 1.8416	LR: 0.100000
Training Epoch: 3 [37376/46200]	Loss: 2.0402	LR: 0.100000
Training Epoch: 3 [37632/46200]	Loss: 1.8457	LR: 0.100000
Training Epoch: 3 [37888/46200]	Loss: 1.9758	LR: 0.100000
Training Epoch: 3 [38144/46200]	Loss: 1.8796	LR: 0.100000
Training Epoch: 3 [38400/46200]	Loss: 1.8941	LR: 0.100000
Training Epoch: 3 [38656/46200]	Loss: 2.0074	LR: 0.100000
Training Epoch: 3 [38912/46200]	Loss: 1.9066	LR: 0.100000
Training Epoch: 3 [39168/46200]	Loss: 1.8561	LR: 0.100000
Training Epoch: 3 [39424/46200]	Loss: 1.9330	LR: 0.100000
Training Epoch: 3 [39680/46200]	Loss: 1.8567	LR: 0.100000
Training Epoch: 3 [39936/46200]	Loss: 2.0316	LR: 0.100000
Training Epoch: 3 [40192/46200]	Loss: 1.8265	LR: 0.100000
Training Epoch: 3 [40448/46200]	Loss: 2.0914	LR: 0.100000
Training Epoch: 3 [40704/46200]	Loss: 1.9107	LR: 0.100000
Training Epoch: 3 [40960/46200]	Loss: 1.8537	LR: 0.100000
Training Epoch: 3 [41216/46200]	Loss: 1.9823	LR: 0.100000
Training Epoch: 3 [41472/46200]	Loss: 1.8286	LR: 0.100000
Training Epoch: 3 [41728/46200]	Loss: 1.7412	LR: 0.100000
Training Epoch: 3 [41984/46200]	Loss: 1.9640	LR: 0.100000
Training Epoch: 3 [42240/46200]	Loss: 1.7640	LR: 0.100000
Training Epoch: 3 [42496/46200]	Loss: 1.8923	LR: 0.100000
Training Epoch: 3 [42752/46200]	Loss: 1.9035	LR: 0.100000
Training Epoch: 3 [43008/46200]	Loss: 1.8724	LR: 0.100000
Training Epoch: 3 [43264/46200]	Loss: 1.7416	LR: 0.100000
Training Epoch: 3 [43520/46200]	Loss: 1.9571	LR: 0.100000
Training Epoch: 3 [43776/46200]	Loss: 1.9156	LR: 0.100000
Training Epoch: 3 [44032/46200]	Loss: 1.8162	LR: 0.100000
Training Epoch: 3 [44288/46200]	Loss: 1.7567	LR: 0.100000
Training Epoch: 3 [44544/46200]	Loss: 1.7989	LR: 0.100000
Training Epoch: 3 [44800/46200]	Loss: 1.8183	LR: 0.100000
Training Epoch: 3 [45056/46200]	Loss: 1.9328	LR: 0.100000
Training Epoch: 3 [45312/46200]	Loss: 1.7453	LR: 0.100000
Training Epoch: 3 [45568/46200]	Loss: 1.6867	LR: 0.100000
Training Epoch: 3 [45824/46200]	Loss: 1.8896	LR: 0.100000
Training Epoch: 3 [46080/46200]	Loss: 1.8960	LR: 0.100000
Training Epoch: 3 [46200/46200]	Loss: 1.8162	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9502, Train Accuracy: 0.3903
Epoch 3 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0086, Accuracy: 0.3603, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.7731	LR: 0.100000
Training Epoch: 4 [512/46200]	Loss: 1.6653	LR: 0.100000
Training Epoch: 4 [768/46200]	Loss: 1.9338	LR: 0.100000
Training Epoch: 4 [1024/46200]	Loss: 1.9211	LR: 0.100000
Training Epoch: 4 [1280/46200]	Loss: 1.8289	LR: 0.100000
Training Epoch: 4 [1536/46200]	Loss: 1.8754	LR: 0.100000
Training Epoch: 4 [1792/46200]	Loss: 1.9634	LR: 0.100000
Training Epoch: 4 [2048/46200]	Loss: 1.7594	LR: 0.100000
Training Epoch: 4 [2304/46200]	Loss: 1.9655	LR: 0.100000
Training Epoch: 4 [2560/46200]	Loss: 1.9274	LR: 0.100000
Training Epoch: 4 [2816/46200]	Loss: 1.8713	LR: 0.100000
Training Epoch: 4 [3072/46200]	Loss: 1.9694	LR: 0.100000
Training Epoch: 4 [3328/46200]	Loss: 1.9919	LR: 0.100000
Training Epoch: 4 [3584/46200]	Loss: 1.7487	LR: 0.100000
Training Epoch: 4 [3840/46200]	Loss: 1.6923	LR: 0.100000
Training Epoch: 4 [4096/46200]	Loss: 1.9437	LR: 0.100000
Training Epoch: 4 [4352/46200]	Loss: 1.7347	LR: 0.100000
Training Epoch: 4 [4608/46200]	Loss: 1.9470	LR: 0.100000
Training Epoch: 4 [4864/46200]	Loss: 1.8850	LR: 0.100000
Training Epoch: 4 [5120/46200]	Loss: 1.9372	LR: 0.100000
Training Epoch: 4 [5376/46200]	Loss: 1.8414	LR: 0.100000
Training Epoch: 4 [5632/46200]	Loss: 1.8522	LR: 0.100000
Training Epoch: 4 [5888/46200]	Loss: 1.8091	LR: 0.100000
Training Epoch: 4 [6144/46200]	Loss: 1.9325	LR: 0.100000
Training Epoch: 4 [6400/46200]	Loss: 1.6875	LR: 0.100000
Training Epoch: 4 [6656/46200]	Loss: 1.8280	LR: 0.100000
Training Epoch: 4 [6912/46200]	Loss: 1.9441	LR: 0.100000
Training Epoch: 4 [7168/46200]	Loss: 1.9069	LR: 0.100000
Training Epoch: 4 [7424/46200]	Loss: 1.8609	LR: 0.100000
Training Epoch: 4 [7680/46200]	Loss: 1.8435	LR: 0.100000
Training Epoch: 4 [7936/46200]	Loss: 1.8041	LR: 0.100000
Training Epoch: 4 [8192/46200]	Loss: 1.7738	LR: 0.100000
Training Epoch: 4 [8448/46200]	Loss: 1.7926	LR: 0.100000
Training Epoch: 4 [8704/46200]	Loss: 1.9284	LR: 0.100000
Training Epoch: 4 [8960/46200]	Loss: 1.7816	LR: 0.100000
Training Epoch: 4 [9216/46200]	Loss: 1.8055	LR: 0.100000
Training Epoch: 4 [9472/46200]	Loss: 1.7523	LR: 0.100000
Training Epoch: 4 [9728/46200]	Loss: 1.9348	LR: 0.100000
Training Epoch: 4 [9984/46200]	Loss: 1.8080	LR: 0.100000
Training Epoch: 4 [10240/46200]	Loss: 1.7921	LR: 0.100000
Training Epoch: 4 [10496/46200]	Loss: 1.7551	LR: 0.100000
Training Epoch: 4 [10752/46200]	Loss: 1.8214	LR: 0.100000
Training Epoch: 4 [11008/46200]	Loss: 1.7984	LR: 0.100000
Training Epoch: 4 [11264/46200]	Loss: 1.7534	LR: 0.100000
Training Epoch: 4 [11520/46200]	Loss: 1.7488	LR: 0.100000
Training Epoch: 4 [11776/46200]	Loss: 1.7263	LR: 0.100000
Training Epoch: 4 [12032/46200]	Loss: 1.8254	LR: 0.100000
Training Epoch: 4 [12288/46200]	Loss: 1.8150	LR: 0.100000
Training Epoch: 4 [12544/46200]	Loss: 1.7120	LR: 0.100000
Training Epoch: 4 [12800/46200]	Loss: 1.8328	LR: 0.100000
Training Epoch: 4 [13056/46200]	Loss: 1.8280	LR: 0.100000
Training Epoch: 4 [13312/46200]	Loss: 1.7469	LR: 0.100000
Training Epoch: 4 [13568/46200]	Loss: 1.7479	LR: 0.100000
Training Epoch: 4 [13824/46200]	Loss: 1.7413	LR: 0.100000
Training Epoch: 4 [14080/46200]	Loss: 1.7287	LR: 0.100000
Training Epoch: 4 [14336/46200]	Loss: 1.8081	LR: 0.100000
Training Epoch: 4 [14592/46200]	Loss: 1.7138	LR: 0.100000
Training Epoch: 4 [14848/46200]	Loss: 1.7511	LR: 0.100000
Training Epoch: 4 [15104/46200]	Loss: 1.6808	LR: 0.100000
Training Epoch: 4 [15360/46200]	Loss: 1.7106	LR: 0.100000
Training Epoch: 4 [15616/46200]	Loss: 1.7864	LR: 0.100000
Training Epoch: 4 [15872/46200]	Loss: 1.8127	LR: 0.100000
Training Epoch: 4 [16128/46200]	Loss: 1.7379	LR: 0.100000
Training Epoch: 4 [16384/46200]	Loss: 1.7811	LR: 0.100000
Training Epoch: 4 [16640/46200]	Loss: 1.7669	LR: 0.100000
Training Epoch: 4 [16896/46200]	Loss: 1.8660	LR: 0.100000
Training Epoch: 4 [17152/46200]	Loss: 1.7312	LR: 0.100000
Training Epoch: 4 [17408/46200]	Loss: 1.7413	LR: 0.100000
Training Epoch: 4 [17664/46200]	Loss: 1.8323	LR: 0.100000
Training Epoch: 4 [17920/46200]	Loss: 1.7549	LR: 0.100000
Training Epoch: 4 [18176/46200]	Loss: 1.6999	LR: 0.100000
Training Epoch: 4 [18432/46200]	Loss: 1.8460	LR: 0.100000
Training Epoch: 4 [18688/46200]	Loss: 1.7227	LR: 0.100000
Training Epoch: 4 [18944/46200]	Loss: 1.7223	LR: 0.100000
Training Epoch: 4 [19200/46200]	Loss: 1.7465	LR: 0.100000
Training Epoch: 4 [19456/46200]	Loss: 1.7467	LR: 0.100000
Training Epoch: 4 [19712/46200]	Loss: 1.7110	LR: 0.100000
Training Epoch: 4 [19968/46200]	Loss: 1.6458	LR: 0.100000
Training Epoch: 4 [20224/46200]	Loss: 1.8117	LR: 0.100000
Training Epoch: 4 [20480/46200]	Loss: 1.7571	LR: 0.100000
Training Epoch: 4 [20736/46200]	Loss: 1.8302	LR: 0.100000
Training Epoch: 4 [20992/46200]	Loss: 1.7591	LR: 0.100000
Training Epoch: 4 [21248/46200]	Loss: 1.7874	LR: 0.100000
Training Epoch: 4 [21504/46200]	Loss: 1.7398	LR: 0.100000
Training Epoch: 4 [21760/46200]	Loss: 1.7002	LR: 0.100000
Training Epoch: 4 [22016/46200]	Loss: 1.8206	LR: 0.100000
Training Epoch: 4 [22272/46200]	Loss: 1.8302	LR: 0.100000
Training Epoch: 4 [22528/46200]	Loss: 1.7065	LR: 0.100000
Training Epoch: 4 [22784/46200]	Loss: 1.8686	LR: 0.100000
Training Epoch: 4 [23040/46200]	Loss: 1.6764	LR: 0.100000
Training Epoch: 4 [23296/46200]	Loss: 1.6517	LR: 0.100000
Training Epoch: 4 [23552/46200]	Loss: 1.7506	LR: 0.100000
Training Epoch: 4 [23808/46200]	Loss: 1.5948	LR: 0.100000
Training Epoch: 4 [24064/46200]	Loss: 1.6402	LR: 0.100000
Training Epoch: 4 [24320/46200]	Loss: 1.6804	LR: 0.100000
Training Epoch: 4 [24576/46200]	Loss: 1.6439	LR: 0.100000
Training Epoch: 4 [24832/46200]	Loss: 1.7696	LR: 0.100000
Training Epoch: 4 [25088/46200]	Loss: 1.8055	LR: 0.100000
Training Epoch: 4 [25344/46200]	Loss: 1.8873	LR: 0.100000
Training Epoch: 4 [25600/46200]	Loss: 1.6775	LR: 0.100000
Training Epoch: 4 [25856/46200]	Loss: 1.7828	LR: 0.100000
Training Epoch: 4 [26112/46200]	Loss: 1.5588	LR: 0.100000
Training Epoch: 4 [26368/46200]	Loss: 1.7917	LR: 0.100000
Training Epoch: 4 [26624/46200]	Loss: 1.8392	LR: 0.100000
Training Epoch: 4 [26880/46200]	Loss: 1.8774	LR: 0.100000
Training Epoch: 4 [27136/46200]	Loss: 1.7358	LR: 0.100000
Training Epoch: 4 [27392/46200]	Loss: 1.7606	LR: 0.100000
Training Epoch: 4 [27648/46200]	Loss: 1.7034	LR: 0.100000
Training Epoch: 4 [27904/46200]	Loss: 1.8000	LR: 0.100000
Training Epoch: 4 [28160/46200]	Loss: 1.8230	LR: 0.100000
Training Epoch: 4 [28416/46200]	Loss: 1.7796	LR: 0.100000
Training Epoch: 4 [28672/46200]	Loss: 1.6506	LR: 0.100000
Training Epoch: 4 [28928/46200]	Loss: 1.7595	LR: 0.100000
Training Epoch: 4 [29184/46200]	Loss: 1.8836	LR: 0.100000
Training Epoch: 4 [29440/46200]	Loss: 1.7265	LR: 0.100000
Training Epoch: 4 [29696/46200]	Loss: 1.6896	LR: 0.100000
Training Epoch: 4 [29952/46200]	Loss: 1.6816	LR: 0.100000
Training Epoch: 4 [30208/46200]	Loss: 1.8412	LR: 0.100000
Training Epoch: 4 [30464/46200]	Loss: 1.7418	LR: 0.100000
Training Epoch: 4 [30720/46200]	Loss: 1.7956	LR: 0.100000
Training Epoch: 4 [30976/46200]	Loss: 1.7074	LR: 0.100000
Training Epoch: 4 [31232/46200]	Loss: 1.7855	LR: 0.100000
Training Epoch: 4 [31488/46200]	Loss: 1.6874	LR: 0.100000
Training Epoch: 4 [31744/46200]	Loss: 1.5026	LR: 0.100000
Training Epoch: 4 [32000/46200]	Loss: 1.7685	LR: 0.100000
Training Epoch: 4 [32256/46200]	Loss: 1.8282	LR: 0.100000
Training Epoch: 4 [32512/46200]	Loss: 1.8101	LR: 0.100000
Training Epoch: 4 [32768/46200]	Loss: 1.6726	LR: 0.100000
Training Epoch: 4 [33024/46200]	Loss: 1.6291	LR: 0.100000
Training Epoch: 4 [33280/46200]	Loss: 1.7609	LR: 0.100000
Training Epoch: 4 [33536/46200]	Loss: 1.7253	LR: 0.100000
Training Epoch: 4 [33792/46200]	Loss: 1.6038	LR: 0.100000
Training Epoch: 4 [34048/46200]	Loss: 1.6992	LR: 0.100000
Training Epoch: 4 [34304/46200]	Loss: 1.7493	LR: 0.100000
Training Epoch: 4 [34560/46200]	Loss: 1.8029	LR: 0.100000
Training Epoch: 4 [34816/46200]	Loss: 1.8109	LR: 0.100000
Training Epoch: 4 [35072/46200]	Loss: 1.8401	LR: 0.100000
Training Epoch: 4 [35328/46200]	Loss: 1.7457	LR: 0.100000
Training Epoch: 4 [35584/46200]	Loss: 1.7381	LR: 0.100000
Training Epoch: 4 [35840/46200]	Loss: 1.7237	LR: 0.100000
Training Epoch: 4 [36096/46200]	Loss: 1.7233	LR: 0.100000
Training Epoch: 4 [36352/46200]	Loss: 1.7637	LR: 0.100000
Training Epoch: 4 [36608/46200]	Loss: 1.7625	LR: 0.100000
Training Epoch: 4 [36864/46200]	Loss: 1.6480	LR: 0.100000
Training Epoch: 4 [37120/46200]	Loss: 1.6836	LR: 0.100000
Training Epoch: 4 [37376/46200]	Loss: 1.6718	LR: 0.100000
Training Epoch: 4 [37632/46200]	Loss: 1.6658	LR: 0.100000
Training Epoch: 4 [37888/46200]	Loss: 1.7751	LR: 0.100000
Training Epoch: 4 [38144/46200]	Loss: 1.6540	LR: 0.100000
Training Epoch: 4 [38400/46200]	Loss: 1.6558	LR: 0.100000
Training Epoch: 4 [38656/46200]	Loss: 1.7103	LR: 0.100000
Training Epoch: 4 [38912/46200]	Loss: 1.7216	LR: 0.100000
Training Epoch: 4 [39168/46200]	Loss: 1.5814	LR: 0.100000
Training Epoch: 4 [39424/46200]	Loss: 1.6934	LR: 0.100000
Training Epoch: 4 [39680/46200]	Loss: 1.6998	LR: 0.100000
Training Epoch: 4 [39936/46200]	Loss: 1.7784	LR: 0.100000
Training Epoch: 4 [40192/46200]	Loss: 1.7668	LR: 0.100000
Training Epoch: 4 [40448/46200]	Loss: 1.6380	LR: 0.100000
Training Epoch: 4 [40704/46200]	Loss: 1.7814	LR: 0.100000
Training Epoch: 4 [40960/46200]	Loss: 1.5278	LR: 0.100000
Training Epoch: 4 [41216/46200]	Loss: 1.8791	LR: 0.100000
Training Epoch: 4 [41472/46200]	Loss: 1.8333	LR: 0.100000
Training Epoch: 4 [41728/46200]	Loss: 1.7333	LR: 0.100000
Training Epoch: 4 [41984/46200]	Loss: 1.7883	LR: 0.100000
Training Epoch: 4 [42240/46200]	Loss: 1.6492	LR: 0.100000
Training Epoch: 4 [42496/46200]	Loss: 1.8309	LR: 0.100000
Training Epoch: 4 [42752/46200]	Loss: 1.6191	LR: 0.100000
Training Epoch: 4 [43008/46200]	Loss: 1.5754	LR: 0.100000
Training Epoch: 4 [43264/46200]	Loss: 1.6714	LR: 0.100000
Training Epoch: 4 [43520/46200]	Loss: 1.6546	LR: 0.100000
Training Epoch: 4 [43776/46200]	Loss: 1.6150	LR: 0.100000
Training Epoch: 4 [44032/46200]	Loss: 1.7773	LR: 0.100000
Training Epoch: 4 [44288/46200]	Loss: 1.5840	LR: 0.100000
Training Epoch: 4 [44544/46200]	Loss: 1.6651	LR: 0.100000
Training Epoch: 4 [44800/46200]	Loss: 1.7402	LR: 0.100000
Training Epoch: 4 [45056/46200]	Loss: 1.7687	LR: 0.100000
Training Epoch: 4 [45312/46200]	Loss: 1.8678	LR: 0.100000
Training Epoch: 4 [45568/46200]	Loss: 1.7862	LR: 0.100000
Training Epoch: 4 [45824/46200]	Loss: 1.6911	LR: 0.100000
Training Epoch: 4 [46080/46200]	Loss: 1.7443	LR: 0.100000
Training Epoch: 4 [46200/46200]	Loss: 1.6535	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7636, Train Accuracy: 0.4413
Epoch 4 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0074, Accuracy: 0.4317, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6421	LR: 0.100000
Training Epoch: 5 [512/46200]	Loss: 1.6507	LR: 0.100000
Training Epoch: 5 [768/46200]	Loss: 1.7654	LR: 0.100000
Training Epoch: 5 [1024/46200]	Loss: 1.6988	LR: 0.100000
Training Epoch: 5 [1280/46200]	Loss: 1.5809	LR: 0.100000
Training Epoch: 5 [1536/46200]	Loss: 1.8675	LR: 0.100000
Training Epoch: 5 [1792/46200]	Loss: 1.5401	LR: 0.100000
Training Epoch: 5 [2048/46200]	Loss: 1.5916	LR: 0.100000
Training Epoch: 5 [2304/46200]	Loss: 1.7039	LR: 0.100000
Training Epoch: 5 [2560/46200]	Loss: 1.7861	LR: 0.100000
Training Epoch: 5 [2816/46200]	Loss: 1.7129	LR: 0.100000
Training Epoch: 5 [3072/46200]	Loss: 1.4939	LR: 0.100000
Training Epoch: 5 [3328/46200]	Loss: 1.5967	LR: 0.100000
Training Epoch: 5 [3584/46200]	Loss: 1.4858	LR: 0.100000
Training Epoch: 5 [3840/46200]	Loss: 1.5335	LR: 0.100000
Training Epoch: 5 [4096/46200]	Loss: 1.6803	LR: 0.100000
Training Epoch: 5 [4352/46200]	Loss: 1.7829	LR: 0.100000
Training Epoch: 5 [4608/46200]	Loss: 1.6559	LR: 0.100000
Training Epoch: 5 [4864/46200]	Loss: 1.6984	LR: 0.100000
Training Epoch: 5 [5120/46200]	Loss: 1.6862	LR: 0.100000
Training Epoch: 5 [5376/46200]	Loss: 1.6509	LR: 0.100000
Training Epoch: 5 [5632/46200]	Loss: 1.5768	LR: 0.100000
Training Epoch: 5 [5888/46200]	Loss: 1.6115	LR: 0.100000
Training Epoch: 5 [6144/46200]	Loss: 1.5743	LR: 0.100000
Training Epoch: 5 [6400/46200]	Loss: 1.7654	LR: 0.100000
Training Epoch: 5 [6656/46200]	Loss: 1.8159	LR: 0.100000
Training Epoch: 5 [6912/46200]	Loss: 1.7320	LR: 0.100000
Training Epoch: 5 [7168/46200]	Loss: 1.5080	LR: 0.100000
Training Epoch: 5 [7424/46200]	Loss: 1.5478	LR: 0.100000
Training Epoch: 5 [7680/46200]	Loss: 1.6748	LR: 0.100000
Training Epoch: 5 [7936/46200]	Loss: 1.6942	LR: 0.100000
Training Epoch: 5 [8192/46200]	Loss: 1.5722	LR: 0.100000
Training Epoch: 5 [8448/46200]	Loss: 1.6597	LR: 0.100000
Training Epoch: 5 [8704/46200]	Loss: 1.5485	LR: 0.100000
Training Epoch: 5 [8960/46200]	Loss: 1.6108	LR: 0.100000
Training Epoch: 5 [9216/46200]	Loss: 1.6715	LR: 0.100000
Training Epoch: 5 [9472/46200]	Loss: 1.5675	LR: 0.100000
Training Epoch: 5 [9728/46200]	Loss: 1.5157	LR: 0.100000
Training Epoch: 5 [9984/46200]	Loss: 1.7432	LR: 0.100000
Training Epoch: 5 [10240/46200]	Loss: 1.6998	LR: 0.100000
Training Epoch: 5 [10496/46200]	Loss: 1.4705	LR: 0.100000
Training Epoch: 5 [10752/46200]	Loss: 1.6523	LR: 0.100000
Training Epoch: 5 [11008/46200]	Loss: 1.6835	LR: 0.100000
Training Epoch: 5 [11264/46200]	Loss: 1.6686	LR: 0.100000
Training Epoch: 5 [11520/46200]	Loss: 1.4376	LR: 0.100000
Training Epoch: 5 [11776/46200]	Loss: 1.6649	LR: 0.100000
Training Epoch: 5 [12032/46200]	Loss: 1.6098	LR: 0.100000
Training Epoch: 5 [12288/46200]	Loss: 1.5453	LR: 0.100000
Training Epoch: 5 [12544/46200]	Loss: 1.5679	LR: 0.100000
Training Epoch: 5 [12800/46200]	Loss: 1.6040	LR: 0.100000
Training Epoch: 5 [13056/46200]	Loss: 1.6842	LR: 0.100000
Training Epoch: 5 [13312/46200]	Loss: 1.5449	LR: 0.100000
Training Epoch: 5 [13568/46200]	Loss: 1.5078	LR: 0.100000
Training Epoch: 5 [13824/46200]	Loss: 1.6148	LR: 0.100000
Training Epoch: 5 [14080/46200]	Loss: 1.7506	LR: 0.100000
Training Epoch: 5 [14336/46200]	Loss: 1.6560	LR: 0.100000
Training Epoch: 5 [14592/46200]	Loss: 1.5903	LR: 0.100000
Training Epoch: 5 [14848/46200]	Loss: 1.6315	LR: 0.100000
Training Epoch: 5 [15104/46200]	Loss: 1.7117	LR: 0.100000
Training Epoch: 5 [15360/46200]	Loss: 1.6479	LR: 0.100000
Training Epoch: 5 [15616/46200]	Loss: 1.4173	LR: 0.100000
Training Epoch: 5 [15872/46200]	Loss: 1.7153	LR: 0.100000
Training Epoch: 5 [16128/46200]	Loss: 1.5587	LR: 0.100000
Training Epoch: 5 [16384/46200]	Loss: 1.5997	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.6479	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.6682	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.5482	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.5733	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.6427	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.6615	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.6500	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.5558	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.4579	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.6100	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.4833	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.6221	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.6108	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.6508	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.5994	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.5150	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.4883	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.6231	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.5313	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.5107	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.3974	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.5151	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.5311	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.5935	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.6873	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.5654	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.6194	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.5453	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.6402	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.4970	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.6978	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.5584	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.7457	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.6155	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.5229	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.5117	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.5037	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.6665	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.6697	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.5831	LR: 0.100000
Training Epoch: 5 [26880/46200]	Loss: 1.6076	LR: 0.100000
Training Epoch: 5 [27136/46200]	Loss: 1.6951	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.6155	LR: 0.100000
Training Epoch: 5 [27648/46200]	Loss: 1.4847	LR: 0.100000
Training Epoch: 5 [27904/46200]	Loss: 1.5157	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.5545	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.5724	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.5535	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.6838	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.5581	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.5399	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.5134	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.4400	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.5445	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.6200	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.5655	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.5911	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.4960	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.5264	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.6165	LR: 0.100000
Training Epoch: 5 [32000/46200]	Loss: 1.5445	LR: 0.100000
Training Epoch: 5 [32256/46200]	Loss: 1.4667	LR: 0.100000
Training Epoch: 5 [32512/46200]	Loss: 1.6302	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.6622	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.7075	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.5902	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.5808	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.5172	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.4651	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.5612	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.6222	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.4745	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.5075	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.4167	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.4579	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.4581	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.6970	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.4965	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.7344	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.6419	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.6476	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.7301	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.5139	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.5361	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.4980	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.5234	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.5540	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.4903	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.4852	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.5468	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.4336	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.5683	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.6138	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.6145	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.5893	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.6306	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.5153	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.2785	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.4887	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.3839	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.5929	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.6394	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.4349	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.4839	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.5222	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.5692	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.4331	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.3714	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.5149	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.6156	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.5139	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.6200	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.2987	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.5069	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.4424	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.5133	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.6494	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5834, Train Accuracy: 0.4989
Epoch 5 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0070, Accuracy: 0.4556, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-5-best.pth
Training Epoch: 6 [256/46200]	Loss: 1.6182	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.6267	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.4913	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.6229	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.4987	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.5314	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.5399	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.4481	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.4414	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.4558	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.3572	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.4305	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.4245	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.5316	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.4716	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.3742	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.5079	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.3986	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.5984	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.5332	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.4603	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.4333	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.5127	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.3851	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.4992	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.4628	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.4477	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.4097	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.6338	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.6046	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.5018	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.4847	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.5425	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.4689	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.4590	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.5333	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.4182	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.5579	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.5569	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.4156	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.4258	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.3846	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.6473	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.4574	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.3979	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.2716	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.5291	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.4917	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.4553	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.5862	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.3807	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.4669	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.3614	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.4127	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.5125	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.4747	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.4013	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.4501	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.4687	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.5288	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.4758	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.4585	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.4928	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.4896	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.4508	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.5541	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.4290	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.5520	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.3610	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.6806	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.4410	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.4399	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.4098	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.4370	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.4141	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.4283	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.4353	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.4358	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.5385	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.3395	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.4005	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.3623	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.3495	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.3188	LR: 0.100000
Training Epoch: 6 [21760/46200]	Loss: 1.4388	LR: 0.100000
Training Epoch: 6 [22016/46200]	Loss: 1.4641	LR: 0.100000
Training Epoch: 6 [22272/46200]	Loss: 1.4737	LR: 0.100000
Training Epoch: 6 [22528/46200]	Loss: 1.3529	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.3049	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.5414	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.4093	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.3799	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.3855	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.3056	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.4776	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.5585	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.5502	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.4411	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.4322	LR: 0.100000
Training Epoch: 6 [25600/46200]	Loss: 1.3254	LR: 0.100000
Training Epoch: 6 [25856/46200]	Loss: 1.4232	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.5193	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.4105	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.3421	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.3570	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.5845	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.5133	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.2894	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.4713	LR: 0.100000
Training Epoch: 6 [28160/46200]	Loss: 1.3575	LR: 0.100000
Training Epoch: 6 [28416/46200]	Loss: 1.4237	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.4287	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.2212	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.4159	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.4446	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.3287	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.6067	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.4652	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.3164	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.4182	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.4247	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.4711	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.4532	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.3658	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.4154	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.4107	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.4326	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.5065	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.4028	LR: 0.100000
Training Epoch: 6 [33280/46200]	Loss: 1.3029	LR: 0.100000
Training Epoch: 6 [33536/46200]	Loss: 1.5154	LR: 0.100000
Training Epoch: 6 [33792/46200]	Loss: 1.3434	LR: 0.100000
Training Epoch: 6 [34048/46200]	Loss: 1.3180	LR: 0.100000
Training Epoch: 6 [34304/46200]	Loss: 1.4061	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.4271	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.4311	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.4579	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.3042	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.3539	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.5900	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.5582	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.3602	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.4802	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.4005	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.2696	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.4764	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.4308	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.2984	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.5041	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.2985	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.2406	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.4724	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.3035	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.2641	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.3053	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.2190	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.2502	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.3569	LR: 0.100000
Training Epoch: 6 [40704/46200]	Loss: 1.2920	LR: 0.100000
Training Epoch: 6 [40960/46200]	Loss: 1.3885	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.4561	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.4490	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.4283	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.4768	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.4107	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.5535	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.4538	LR: 0.100000
Training Epoch: 6 [43008/46200]	Loss: 1.4227	LR: 0.100000
Training Epoch: 6 [43264/46200]	Loss: 1.4990	LR: 0.100000
Training Epoch: 6 [43520/46200]	Loss: 1.5203	LR: 0.100000
Training Epoch: 6 [43776/46200]	Loss: 1.3844	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.3490	LR: 0.100000
Training Epoch: 6 [44288/46200]	Loss: 1.3265	LR: 0.100000
Training Epoch: 6 [44544/46200]	Loss: 1.3469	LR: 0.100000
Training Epoch: 6 [44800/46200]	Loss: 1.2261	LR: 0.100000
Training Epoch: 6 [45056/46200]	Loss: 1.3186	LR: 0.100000
Training Epoch: 6 [45312/46200]	Loss: 1.2404	LR: 0.100000
Training Epoch: 6 [45568/46200]	Loss: 1.3103	LR: 0.100000
Training Epoch: 6 [45824/46200]	Loss: 1.3771	LR: 0.100000
Training Epoch: 6 [46080/46200]	Loss: 1.2967	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.4017	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4333, Train Accuracy: 0.5431
Epoch 6 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0062, Accuracy: 0.5330, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3711	LR: 0.100000
Training Epoch: 7 [512/46200]	Loss: 1.3751	LR: 0.100000
Training Epoch: 7 [768/46200]	Loss: 1.3958	LR: 0.100000
Training Epoch: 7 [1024/46200]	Loss: 1.2724	LR: 0.100000
Training Epoch: 7 [1280/46200]	Loss: 1.4075	LR: 0.100000
Training Epoch: 7 [1536/46200]	Loss: 1.3524	LR: 0.100000
Training Epoch: 7 [1792/46200]	Loss: 1.3372	LR: 0.100000
Training Epoch: 7 [2048/46200]	Loss: 1.3284	LR: 0.100000
Training Epoch: 7 [2304/46200]	Loss: 1.2556	LR: 0.100000
Training Epoch: 7 [2560/46200]	Loss: 1.3768	LR: 0.100000
Training Epoch: 7 [2816/46200]	Loss: 1.2594	LR: 0.100000
Training Epoch: 7 [3072/46200]	Loss: 1.3443	LR: 0.100000
Training Epoch: 7 [3328/46200]	Loss: 1.4544	LR: 0.100000
Training Epoch: 7 [3584/46200]	Loss: 1.2549	LR: 0.100000
Training Epoch: 7 [3840/46200]	Loss: 1.4072	LR: 0.100000
Training Epoch: 7 [4096/46200]	Loss: 1.4155	LR: 0.100000
Training Epoch: 7 [4352/46200]	Loss: 1.3625	LR: 0.100000
Training Epoch: 7 [4608/46200]	Loss: 1.3070	LR: 0.100000
Training Epoch: 7 [4864/46200]	Loss: 1.4229	LR: 0.100000
Training Epoch: 7 [5120/46200]	Loss: 1.2865	LR: 0.100000
Training Epoch: 7 [5376/46200]	Loss: 1.3015	LR: 0.100000
Training Epoch: 7 [5632/46200]	Loss: 1.4268	LR: 0.100000
Training Epoch: 7 [5888/46200]	Loss: 1.3629	LR: 0.100000
Training Epoch: 7 [6144/46200]	Loss: 1.4307	LR: 0.100000
Training Epoch: 7 [6400/46200]	Loss: 1.3053	LR: 0.100000
Training Epoch: 7 [6656/46200]	Loss: 1.3262	LR: 0.100000
Training Epoch: 7 [6912/46200]	Loss: 1.3254	LR: 0.100000
Training Epoch: 7 [7168/46200]	Loss: 1.3927	LR: 0.100000
Training Epoch: 7 [7424/46200]	Loss: 1.3363	LR: 0.100000
Training Epoch: 7 [7680/46200]	Loss: 1.3714	LR: 0.100000
Training Epoch: 7 [7936/46200]	Loss: 1.3942	LR: 0.100000
Training Epoch: 7 [8192/46200]	Loss: 1.4125	LR: 0.100000
Training Epoch: 7 [8448/46200]	Loss: 1.4996	LR: 0.100000
Training Epoch: 7 [8704/46200]	Loss: 1.3153	LR: 0.100000
Training Epoch: 7 [8960/46200]	Loss: 1.2092	LR: 0.100000
Training Epoch: 7 [9216/46200]	Loss: 1.3756	LR: 0.100000
Training Epoch: 7 [9472/46200]	Loss: 1.3270	LR: 0.100000
Training Epoch: 7 [9728/46200]	Loss: 1.3473	LR: 0.100000
Training Epoch: 7 [9984/46200]	Loss: 1.2517	LR: 0.100000
Training Epoch: 7 [10240/46200]	Loss: 1.3137	LR: 0.100000
Training Epoch: 7 [10496/46200]	Loss: 1.2654	LR: 0.100000
Training Epoch: 7 [10752/46200]	Loss: 1.3690	LR: 0.100000
Training Epoch: 7 [11008/46200]	Loss: 1.4329	LR: 0.100000
Training Epoch: 7 [11264/46200]	Loss: 1.3352	LR: 0.100000
Training Epoch: 7 [11520/46200]	Loss: 1.3241	LR: 0.100000
Training Epoch: 7 [11776/46200]	Loss: 1.3694	LR: 0.100000
Training Epoch: 7 [12032/46200]	Loss: 1.3227	LR: 0.100000
Training Epoch: 7 [12288/46200]	Loss: 1.4580	LR: 0.100000
Training Epoch: 7 [12544/46200]	Loss: 1.3074	LR: 0.100000
Training Epoch: 7 [12800/46200]	Loss: 1.3743	LR: 0.100000
Training Epoch: 7 [13056/46200]	Loss: 1.4416	LR: 0.100000
Training Epoch: 7 [13312/46200]	Loss: 1.3548	LR: 0.100000
Training Epoch: 7 [13568/46200]	Loss: 1.3828	LR: 0.100000
Training Epoch: 7 [13824/46200]	Loss: 1.4205	LR: 0.100000
Training Epoch: 7 [14080/46200]	Loss: 1.3967	LR: 0.100000
Training Epoch: 7 [14336/46200]	Loss: 1.3547	LR: 0.100000
Training Epoch: 7 [14592/46200]	Loss: 1.2729	LR: 0.100000
Training Epoch: 7 [14848/46200]	Loss: 1.1182	LR: 0.100000
Training Epoch: 7 [15104/46200]	Loss: 1.3817	LR: 0.100000
Training Epoch: 7 [15360/46200]	Loss: 1.5014	LR: 0.100000
Training Epoch: 7 [15616/46200]	Loss: 1.2340	LR: 0.100000
Training Epoch: 7 [15872/46200]	Loss: 1.4071	LR: 0.100000
Training Epoch: 7 [16128/46200]	Loss: 1.4738	LR: 0.100000
Training Epoch: 7 [16384/46200]	Loss: 1.3481	LR: 0.100000
Training Epoch: 7 [16640/46200]	Loss: 1.3554	LR: 0.100000
Training Epoch: 7 [16896/46200]	Loss: 1.3371	LR: 0.100000
Training Epoch: 7 [17152/46200]	Loss: 1.3338	LR: 0.100000
Training Epoch: 7 [17408/46200]	Loss: 1.3039	LR: 0.100000
Training Epoch: 7 [17664/46200]	Loss: 1.2914	LR: 0.100000
Training Epoch: 7 [17920/46200]	Loss: 1.4757	LR: 0.100000
Training Epoch: 7 [18176/46200]	Loss: 1.3890	LR: 0.100000
Training Epoch: 7 [18432/46200]	Loss: 1.3358	LR: 0.100000
Training Epoch: 7 [18688/46200]	Loss: 1.3177	LR: 0.100000
Training Epoch: 7 [18944/46200]	Loss: 1.3540	LR: 0.100000
Training Epoch: 7 [19200/46200]	Loss: 1.2941	LR: 0.100000
Training Epoch: 7 [19456/46200]	Loss: 1.2502	LR: 0.100000
Training Epoch: 7 [19712/46200]	Loss: 1.3429	LR: 0.100000
Training Epoch: 7 [19968/46200]	Loss: 1.2977	LR: 0.100000
Training Epoch: 7 [20224/46200]	Loss: 1.3236	LR: 0.100000
Training Epoch: 7 [20480/46200]	Loss: 1.3124	LR: 0.100000
Training Epoch: 7 [20736/46200]	Loss: 1.2160	LR: 0.100000
Training Epoch: 7 [20992/46200]	Loss: 1.3314	LR: 0.100000
Training Epoch: 7 [21248/46200]	Loss: 1.3298	LR: 0.100000
Training Epoch: 7 [21504/46200]	Loss: 1.4092	LR: 0.100000
Training Epoch: 7 [21760/46200]	Loss: 1.3037	LR: 0.100000
Training Epoch: 7 [22016/46200]	Loss: 1.3840	LR: 0.100000
Training Epoch: 7 [22272/46200]	Loss: 1.4667	LR: 0.100000
Training Epoch: 7 [22528/46200]	Loss: 1.2338	LR: 0.100000
Training Epoch: 7 [22784/46200]	Loss: 1.3817	LR: 0.100000
Training Epoch: 7 [23040/46200]	Loss: 1.4914	LR: 0.100000
Training Epoch: 7 [23296/46200]	Loss: 1.2591	LR: 0.100000
Training Epoch: 7 [23552/46200]	Loss: 1.3124	LR: 0.100000
Training Epoch: 7 [23808/46200]	Loss: 1.3193	LR: 0.100000
Training Epoch: 7 [24064/46200]	Loss: 1.2563	LR: 0.100000
Training Epoch: 7 [24320/46200]	Loss: 1.3106	LR: 0.100000
Training Epoch: 7 [24576/46200]	Loss: 1.2986	LR: 0.100000
Training Epoch: 7 [24832/46200]	Loss: 1.3832	LR: 0.100000
Training Epoch: 7 [25088/46200]	Loss: 1.5019	LR: 0.100000
Training Epoch: 7 [25344/46200]	Loss: 1.2548	LR: 0.100000
Training Epoch: 7 [25600/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 7 [25856/46200]	Loss: 1.4340	LR: 0.100000
Training Epoch: 7 [26112/46200]	Loss: 1.3475	LR: 0.100000
Training Epoch: 7 [26368/46200]	Loss: 1.2002	LR: 0.100000
Training Epoch: 7 [26624/46200]	Loss: 1.1951	LR: 0.100000
Training Epoch: 7 [26880/46200]	Loss: 1.2290	LR: 0.100000
Training Epoch: 7 [27136/46200]	Loss: 1.2206	LR: 0.100000
Training Epoch: 7 [27392/46200]	Loss: 1.3506	LR: 0.100000
Training Epoch: 7 [27648/46200]	Loss: 1.3830	LR: 0.100000
Training Epoch: 7 [27904/46200]	Loss: 1.1300	LR: 0.100000
Training Epoch: 7 [28160/46200]	Loss: 1.3895	LR: 0.100000
Training Epoch: 7 [28416/46200]	Loss: 1.3088	LR: 0.100000
Training Epoch: 7 [28672/46200]	Loss: 1.3311	LR: 0.100000
Training Epoch: 7 [28928/46200]	Loss: 1.2833	LR: 0.100000
Training Epoch: 7 [29184/46200]	Loss: 1.1256	LR: 0.100000
Training Epoch: 7 [29440/46200]	Loss: 1.1724	LR: 0.100000
Training Epoch: 7 [29696/46200]	Loss: 1.3028	LR: 0.100000
Training Epoch: 7 [29952/46200]	Loss: 1.2930	LR: 0.100000
Training Epoch: 7 [30208/46200]	Loss: 1.2426	LR: 0.100000
Training Epoch: 7 [30464/46200]	Loss: 1.1797	LR: 0.100000
Training Epoch: 7 [30720/46200]	Loss: 1.3661	LR: 0.100000
Training Epoch: 7 [30976/46200]	Loss: 1.4896	LR: 0.100000
Training Epoch: 7 [31232/46200]	Loss: 1.3027	LR: 0.100000
Training Epoch: 7 [31488/46200]	Loss: 1.4235	LR: 0.100000
Training Epoch: 7 [31744/46200]	Loss: 1.4094	LR: 0.100000
Training Epoch: 7 [32000/46200]	Loss: 1.3011	LR: 0.100000
Training Epoch: 7 [32256/46200]	Loss: 1.2941	LR: 0.100000
Training Epoch: 7 [32512/46200]	Loss: 1.3265	LR: 0.100000
Training Epoch: 7 [32768/46200]	Loss: 1.2564	LR: 0.100000
Training Epoch: 7 [33024/46200]	Loss: 1.3585	LR: 0.100000
Training Epoch: 7 [33280/46200]	Loss: 1.2954	LR: 0.100000
Training Epoch: 7 [33536/46200]	Loss: 1.3128	LR: 0.100000
Training Epoch: 7 [33792/46200]	Loss: 1.2899	LR: 0.100000
Training Epoch: 7 [34048/46200]	Loss: 1.5627	LR: 0.100000
Training Epoch: 7 [34304/46200]	Loss: 1.3257	LR: 0.100000
Training Epoch: 7 [34560/46200]	Loss: 1.1931	LR: 0.100000
Training Epoch: 7 [34816/46200]	Loss: 1.3749	LR: 0.100000
Training Epoch: 7 [35072/46200]	Loss: 1.3030	LR: 0.100000
Training Epoch: 7 [35328/46200]	Loss: 1.3938	LR: 0.100000
Training Epoch: 7 [35584/46200]	Loss: 1.3779	LR: 0.100000
Training Epoch: 7 [35840/46200]	Loss: 1.2531	LR: 0.100000
Training Epoch: 7 [36096/46200]	Loss: 1.4472	LR: 0.100000
Training Epoch: 7 [36352/46200]	Loss: 1.2866	LR: 0.100000
Training Epoch: 7 [36608/46200]	Loss: 1.3534	LR: 0.100000
Training Epoch: 7 [36864/46200]	Loss: 1.3128	LR: 0.100000
Training Epoch: 7 [37120/46200]	Loss: 1.2984	LR: 0.100000
Training Epoch: 7 [37376/46200]	Loss: 1.1634	LR: 0.100000
Training Epoch: 7 [37632/46200]	Loss: 1.2855	LR: 0.100000
Training Epoch: 7 [37888/46200]	Loss: 1.3374	LR: 0.100000
Training Epoch: 7 [38144/46200]	Loss: 1.2524	LR: 0.100000
Training Epoch: 7 [38400/46200]	Loss: 1.2735	LR: 0.100000
Training Epoch: 7 [38656/46200]	Loss: 1.2114	LR: 0.100000
Training Epoch: 7 [38912/46200]	Loss: 1.3792	LR: 0.100000
Training Epoch: 7 [39168/46200]	Loss: 1.2401	LR: 0.100000
Training Epoch: 7 [39424/46200]	Loss: 1.2863	LR: 0.100000
Training Epoch: 7 [39680/46200]	Loss: 1.3626	LR: 0.100000
Training Epoch: 7 [39936/46200]	Loss: 1.2450	LR: 0.100000
Training Epoch: 7 [40192/46200]	Loss: 1.1885	LR: 0.100000
Training Epoch: 7 [40448/46200]	Loss: 1.4218	LR: 0.100000
Training Epoch: 7 [40704/46200]	Loss: 1.4074	LR: 0.100000
Training Epoch: 7 [40960/46200]	Loss: 1.3415	LR: 0.100000
Training Epoch: 7 [41216/46200]	Loss: 1.3036	LR: 0.100000
Training Epoch: 7 [41472/46200]	Loss: 1.3803	LR: 0.100000
Training Epoch: 7 [41728/46200]	Loss: 1.3482	LR: 0.100000
Training Epoch: 7 [41984/46200]	Loss: 1.4185	LR: 0.100000
Training Epoch: 7 [42240/46200]	Loss: 1.4727	LR: 0.100000
Training Epoch: 7 [42496/46200]	Loss: 1.3679	LR: 0.100000
Training Epoch: 7 [42752/46200]	Loss: 1.1493	LR: 0.100000
Training Epoch: 7 [43008/46200]	Loss: 1.2247	LR: 0.100000
Training Epoch: 7 [43264/46200]	Loss: 1.2606	LR: 0.100000
Training Epoch: 7 [43520/46200]	Loss: 1.2865	LR: 0.100000
Training Epoch: 7 [43776/46200]	Loss: 1.2462	LR: 0.100000
Training Epoch: 7 [44032/46200]	Loss: 1.3223	LR: 0.100000
Training Epoch: 7 [44288/46200]	Loss: 1.3243	LR: 0.100000
Training Epoch: 7 [44544/46200]	Loss: 1.2477	LR: 0.100000
Training Epoch: 7 [44800/46200]	Loss: 1.3440	LR: 0.100000
Training Epoch: 7 [45056/46200]	Loss: 1.1953	LR: 0.100000
Training Epoch: 7 [45312/46200]	Loss: 1.3313	LR: 0.100000
Training Epoch: 7 [45568/46200]	Loss: 1.2144	LR: 0.100000
Training Epoch: 7 [45824/46200]	Loss: 1.3737	LR: 0.100000
Training Epoch: 7 [46080/46200]	Loss: 1.1542	LR: 0.100000
Training Epoch: 7 [46200/46200]	Loss: 1.3798	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3289, Train Accuracy: 0.5754
Epoch 7 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5319, Time consumed:1.01s
Training Epoch: 8 [256/46200]	Loss: 1.2059	LR: 0.100000
Training Epoch: 8 [512/46200]	Loss: 1.2576	LR: 0.100000
Training Epoch: 8 [768/46200]	Loss: 1.1780	LR: 0.100000
Training Epoch: 8 [1024/46200]	Loss: 1.2623	LR: 0.100000
Training Epoch: 8 [1280/46200]	Loss: 1.3362	LR: 0.100000
Training Epoch: 8 [1536/46200]	Loss: 1.2879	LR: 0.100000
Training Epoch: 8 [1792/46200]	Loss: 1.1913	LR: 0.100000
Training Epoch: 8 [2048/46200]	Loss: 1.1633	LR: 0.100000
Training Epoch: 8 [2304/46200]	Loss: 1.3568	LR: 0.100000
Training Epoch: 8 [2560/46200]	Loss: 1.2908	LR: 0.100000
Training Epoch: 8 [2816/46200]	Loss: 1.3330	LR: 0.100000
Training Epoch: 8 [3072/46200]	Loss: 1.3273	LR: 0.100000
Training Epoch: 8 [3328/46200]	Loss: 1.2321	LR: 0.100000
Training Epoch: 8 [3584/46200]	Loss: 1.0934	LR: 0.100000
Training Epoch: 8 [3840/46200]	Loss: 1.2117	LR: 0.100000
Training Epoch: 8 [4096/46200]	Loss: 1.2587	LR: 0.100000
Training Epoch: 8 [4352/46200]	Loss: 1.2566	LR: 0.100000
Training Epoch: 8 [4608/46200]	Loss: 1.2410	LR: 0.100000
Training Epoch: 8 [4864/46200]	Loss: 1.3691	LR: 0.100000
Training Epoch: 8 [5120/46200]	Loss: 1.2710	LR: 0.100000
Training Epoch: 8 [5376/46200]	Loss: 1.1618	LR: 0.100000
Training Epoch: 8 [5632/46200]	Loss: 1.3915	LR: 0.100000
Training Epoch: 8 [5888/46200]	Loss: 1.2689	LR: 0.100000
Training Epoch: 8 [6144/46200]	Loss: 1.3058	LR: 0.100000
Training Epoch: 8 [6400/46200]	Loss: 1.2847	LR: 0.100000
Training Epoch: 8 [6656/46200]	Loss: 1.1682	LR: 0.100000
Training Epoch: 8 [6912/46200]	Loss: 1.1058	LR: 0.100000
Training Epoch: 8 [7168/46200]	Loss: 1.2298	LR: 0.100000
Training Epoch: 8 [7424/46200]	Loss: 1.3386	LR: 0.100000
Training Epoch: 8 [7680/46200]	Loss: 1.1978	LR: 0.100000
Training Epoch: 8 [7936/46200]	Loss: 1.2177	LR: 0.100000
Training Epoch: 8 [8192/46200]	Loss: 1.1545	LR: 0.100000
Training Epoch: 8 [8448/46200]	Loss: 1.2422	LR: 0.100000
Training Epoch: 8 [8704/46200]	Loss: 1.2021	LR: 0.100000
Training Epoch: 8 [8960/46200]	Loss: 1.3647	LR: 0.100000
Training Epoch: 8 [9216/46200]	Loss: 1.1802	LR: 0.100000
Training Epoch: 8 [9472/46200]	Loss: 1.1223	LR: 0.100000
Training Epoch: 8 [9728/46200]	Loss: 1.2943	LR: 0.100000
Training Epoch: 8 [9984/46200]	Loss: 1.2042	LR: 0.100000
Training Epoch: 8 [10240/46200]	Loss: 1.2607	LR: 0.100000
Training Epoch: 8 [10496/46200]	Loss: 1.0850	LR: 0.100000
Training Epoch: 8 [10752/46200]	Loss: 1.2800	LR: 0.100000
Training Epoch: 8 [11008/46200]	Loss: 1.2962	LR: 0.100000
Training Epoch: 8 [11264/46200]	Loss: 1.2053	LR: 0.100000
Training Epoch: 8 [11520/46200]	Loss: 1.0980	LR: 0.100000
Training Epoch: 8 [11776/46200]	Loss: 1.2291	LR: 0.100000
Training Epoch: 8 [12032/46200]	Loss: 1.1878	LR: 0.100000
Training Epoch: 8 [12288/46200]	Loss: 1.2978	LR: 0.100000
Training Epoch: 8 [12544/46200]	Loss: 1.3043	LR: 0.100000
Training Epoch: 8 [12800/46200]	Loss: 1.2013	LR: 0.100000
Training Epoch: 8 [13056/46200]	Loss: 1.2301	LR: 0.100000
Training Epoch: 8 [13312/46200]	Loss: 1.3106	LR: 0.100000
Training Epoch: 8 [13568/46200]	Loss: 1.2596	LR: 0.100000
Training Epoch: 8 [13824/46200]	Loss: 1.1048	LR: 0.100000
Training Epoch: 8 [14080/46200]	Loss: 1.2284	LR: 0.100000
Training Epoch: 8 [14336/46200]	Loss: 1.2489	LR: 0.100000
Training Epoch: 8 [14592/46200]	Loss: 1.0985	LR: 0.100000
Training Epoch: 8 [14848/46200]	Loss: 1.2866	LR: 0.100000
Training Epoch: 8 [15104/46200]	Loss: 1.3541	LR: 0.100000
Training Epoch: 8 [15360/46200]	Loss: 1.2800	LR: 0.100000
Training Epoch: 8 [15616/46200]	Loss: 1.3073	LR: 0.100000
Training Epoch: 8 [15872/46200]	Loss: 1.3050	LR: 0.100000
Training Epoch: 8 [16128/46200]	Loss: 1.1622	LR: 0.100000
Training Epoch: 8 [16384/46200]	Loss: 1.1890	LR: 0.100000
Training Epoch: 8 [16640/46200]	Loss: 1.4245	LR: 0.100000
Training Epoch: 8 [16896/46200]	Loss: 1.1847	LR: 0.100000
Training Epoch: 8 [17152/46200]	Loss: 1.2289	LR: 0.100000
Training Epoch: 8 [17408/46200]	Loss: 1.1686	LR: 0.100000
Training Epoch: 8 [17664/46200]	Loss: 1.2027	LR: 0.100000
Training Epoch: 8 [17920/46200]	Loss: 1.2910	LR: 0.100000
Training Epoch: 8 [18176/46200]	Loss: 1.1853	LR: 0.100000
Training Epoch: 8 [18432/46200]	Loss: 1.2220	LR: 0.100000
Training Epoch: 8 [18688/46200]	Loss: 1.2624	LR: 0.100000
Training Epoch: 8 [18944/46200]	Loss: 1.2058	LR: 0.100000
Training Epoch: 8 [19200/46200]	Loss: 1.2856	LR: 0.100000
Training Epoch: 8 [19456/46200]	Loss: 1.1261	LR: 0.100000
Training Epoch: 8 [19712/46200]	Loss: 1.1855	LR: 0.100000
Training Epoch: 8 [19968/46200]	Loss: 1.2288	LR: 0.100000
Training Epoch: 8 [20224/46200]	Loss: 1.2919	LR: 0.100000
Training Epoch: 8 [20480/46200]	Loss: 1.2175	LR: 0.100000
Training Epoch: 8 [20736/46200]	Loss: 1.1073	LR: 0.100000
Training Epoch: 8 [20992/46200]	Loss: 1.2682	LR: 0.100000
Training Epoch: 8 [21248/46200]	Loss: 1.3177	LR: 0.100000
Training Epoch: 8 [21504/46200]	Loss: 1.2731	LR: 0.100000
Training Epoch: 8 [21760/46200]	Loss: 1.1669	LR: 0.100000
Training Epoch: 8 [22016/46200]	Loss: 1.2479	LR: 0.100000
Training Epoch: 8 [22272/46200]	Loss: 1.2446	LR: 0.100000
Training Epoch: 8 [22528/46200]	Loss: 1.1982	LR: 0.100000
Training Epoch: 8 [22784/46200]	Loss: 1.1719	LR: 0.100000
Training Epoch: 8 [23040/46200]	Loss: 1.3268	LR: 0.100000
Training Epoch: 8 [23296/46200]	Loss: 1.1904	LR: 0.100000
Training Epoch: 8 [23552/46200]	Loss: 1.2555	LR: 0.100000
Training Epoch: 8 [23808/46200]	Loss: 1.2399	LR: 0.100000
Training Epoch: 8 [24064/46200]	Loss: 1.2041	LR: 0.100000
Training Epoch: 8 [24320/46200]	Loss: 1.2292	LR: 0.100000
Training Epoch: 8 [24576/46200]	Loss: 1.1497	LR: 0.100000
Training Epoch: 8 [24832/46200]	Loss: 1.1375	LR: 0.100000
Training Epoch: 8 [25088/46200]	Loss: 1.2527	LR: 0.100000
Training Epoch: 8 [25344/46200]	Loss: 1.1398	LR: 0.100000
Training Epoch: 8 [25600/46200]	Loss: 1.2456	LR: 0.100000
Training Epoch: 8 [25856/46200]	Loss: 1.3447	LR: 0.100000
Training Epoch: 8 [26112/46200]	Loss: 1.1831	LR: 0.100000
Training Epoch: 8 [26368/46200]	Loss: 1.2690	LR: 0.100000
Training Epoch: 8 [26624/46200]	Loss: 1.3307	LR: 0.100000
Training Epoch: 8 [26880/46200]	Loss: 1.1935	LR: 0.100000
Training Epoch: 8 [27136/46200]	Loss: 1.2581	LR: 0.100000
Training Epoch: 8 [27392/46200]	Loss: 1.2353	LR: 0.100000
Training Epoch: 8 [27648/46200]	Loss: 1.0817	LR: 0.100000
Training Epoch: 8 [27904/46200]	Loss: 1.3298	LR: 0.100000
Training Epoch: 8 [28160/46200]	Loss: 1.2661	LR: 0.100000
Training Epoch: 8 [28416/46200]	Loss: 1.2995	LR: 0.100000
Training Epoch: 8 [28672/46200]	Loss: 1.1880	LR: 0.100000
Training Epoch: 8 [28928/46200]	Loss: 1.2209	LR: 0.100000
Training Epoch: 8 [29184/46200]	Loss: 1.0879	LR: 0.100000
Training Epoch: 8 [29440/46200]	Loss: 1.1288	LR: 0.100000
Training Epoch: 8 [29696/46200]	Loss: 1.0576	LR: 0.100000
Training Epoch: 8 [29952/46200]	Loss: 1.2863	LR: 0.100000
Training Epoch: 8 [30208/46200]	Loss: 1.2081	LR: 0.100000
Training Epoch: 8 [30464/46200]	Loss: 1.3895	LR: 0.100000
Training Epoch: 8 [30720/46200]	Loss: 1.2752	LR: 0.100000
Training Epoch: 8 [30976/46200]	Loss: 1.4008	LR: 0.100000
Training Epoch: 8 [31232/46200]	Loss: 1.2332	LR: 0.100000
Training Epoch: 8 [31488/46200]	Loss: 1.2430	LR: 0.100000
Training Epoch: 8 [31744/46200]	Loss: 1.2793	LR: 0.100000
Training Epoch: 8 [32000/46200]	Loss: 1.3212	LR: 0.100000
Training Epoch: 8 [32256/46200]	Loss: 1.2156	LR: 0.100000
Training Epoch: 8 [32512/46200]	Loss: 1.1149	LR: 0.100000
Training Epoch: 8 [32768/46200]	Loss: 1.2563	LR: 0.100000
Training Epoch: 8 [33024/46200]	Loss: 1.2883	LR: 0.100000
Training Epoch: 8 [33280/46200]	Loss: 1.2452	LR: 0.100000
Training Epoch: 8 [33536/46200]	Loss: 1.1943	LR: 0.100000
Training Epoch: 8 [33792/46200]	Loss: 1.2749	LR: 0.100000
Training Epoch: 8 [34048/46200]	Loss: 1.4050	LR: 0.100000
Training Epoch: 8 [34304/46200]	Loss: 1.3120	LR: 0.100000
Training Epoch: 8 [34560/46200]	Loss: 1.1709	LR: 0.100000
Training Epoch: 8 [34816/46200]	Loss: 1.2204	LR: 0.100000
Training Epoch: 8 [35072/46200]	Loss: 1.2733	LR: 0.100000
Training Epoch: 8 [35328/46200]	Loss: 1.2674	LR: 0.100000
Training Epoch: 8 [35584/46200]	Loss: 1.1808	LR: 0.100000
Training Epoch: 8 [35840/46200]	Loss: 1.2051	LR: 0.100000
Training Epoch: 8 [36096/46200]	Loss: 1.2341	LR: 0.100000
Training Epoch: 8 [36352/46200]	Loss: 1.2779	LR: 0.100000
Training Epoch: 8 [36608/46200]	Loss: 1.2492	LR: 0.100000
Training Epoch: 8 [36864/46200]	Loss: 1.1512	LR: 0.100000
Training Epoch: 8 [37120/46200]	Loss: 1.0946	LR: 0.100000
Training Epoch: 8 [37376/46200]	Loss: 1.1454	LR: 0.100000
Training Epoch: 8 [37632/46200]	Loss: 1.2386	LR: 0.100000
Training Epoch: 8 [37888/46200]	Loss: 1.0610	LR: 0.100000
Training Epoch: 8 [38144/46200]	Loss: 1.1935	LR: 0.100000
Training Epoch: 8 [38400/46200]	Loss: 1.3822	LR: 0.100000
Training Epoch: 8 [38656/46200]	Loss: 1.0679	LR: 0.100000
Training Epoch: 8 [38912/46200]	Loss: 1.0143	LR: 0.100000
Training Epoch: 8 [39168/46200]	Loss: 1.1043	LR: 0.100000
Training Epoch: 8 [39424/46200]	Loss: 1.2746	LR: 0.100000
Training Epoch: 8 [39680/46200]	Loss: 1.2306	LR: 0.100000
Training Epoch: 8 [39936/46200]	Loss: 1.2545	LR: 0.100000
Training Epoch: 8 [40192/46200]	Loss: 1.2410	LR: 0.100000
Training Epoch: 8 [40448/46200]	Loss: 1.1884	LR: 0.100000
Training Epoch: 8 [40704/46200]	Loss: 1.1141	LR: 0.100000
Training Epoch: 8 [40960/46200]	Loss: 1.2910	LR: 0.100000
Training Epoch: 8 [41216/46200]	Loss: 1.1714	LR: 0.100000
Training Epoch: 8 [41472/46200]	Loss: 1.3525	LR: 0.100000
Training Epoch: 8 [41728/46200]	Loss: 1.1177	LR: 0.100000
Training Epoch: 8 [41984/46200]	Loss: 1.2170	LR: 0.100000
Training Epoch: 8 [42240/46200]	Loss: 1.2537	LR: 0.100000
Training Epoch: 8 [42496/46200]	Loss: 1.1988	LR: 0.100000
Training Epoch: 8 [42752/46200]	Loss: 1.1468	LR: 0.100000
Training Epoch: 8 [43008/46200]	Loss: 1.3442	LR: 0.100000
Training Epoch: 8 [43264/46200]	Loss: 1.2531	LR: 0.100000
Training Epoch: 8 [43520/46200]	Loss: 1.2720	LR: 0.100000
Training Epoch: 8 [43776/46200]	Loss: 1.1998	LR: 0.100000
Training Epoch: 8 [44032/46200]	Loss: 1.2903	LR: 0.100000
Training Epoch: 8 [44288/46200]	Loss: 1.3135	LR: 0.100000
Training Epoch: 8 [44544/46200]	Loss: 1.2329	LR: 0.100000
Training Epoch: 8 [44800/46200]	Loss: 1.0655	LR: 0.100000
Training Epoch: 8 [45056/46200]	Loss: 1.0857	LR: 0.100000
Training Epoch: 8 [45312/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 8 [45568/46200]	Loss: 1.1738	LR: 0.100000
Training Epoch: 8 [45824/46200]	Loss: 1.0789	LR: 0.100000
Training Epoch: 8 [46080/46200]	Loss: 1.1640	LR: 0.100000
Training Epoch: 8 [46200/46200]	Loss: 1.2405	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2285, Train Accuracy: 0.6058
Epoch 8 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0055, Accuracy: 0.5864, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-8-best.pth
Training Epoch: 9 [256/46200]	Loss: 1.0231	LR: 0.100000
Training Epoch: 9 [512/46200]	Loss: 1.2305	LR: 0.100000
Training Epoch: 9 [768/46200]	Loss: 1.1223	LR: 0.100000
Training Epoch: 9 [1024/46200]	Loss: 0.9199	LR: 0.100000
Training Epoch: 9 [1280/46200]	Loss: 1.1091	LR: 0.100000
Training Epoch: 9 [1536/46200]	Loss: 0.9329	LR: 0.100000
Training Epoch: 9 [1792/46200]	Loss: 1.1241	LR: 0.100000
Training Epoch: 9 [2048/46200]	Loss: 1.1674	LR: 0.100000
Training Epoch: 9 [2304/46200]	Loss: 1.1208	LR: 0.100000
Training Epoch: 9 [2560/46200]	Loss: 1.2308	LR: 0.100000
Training Epoch: 9 [2816/46200]	Loss: 1.0724	LR: 0.100000
Training Epoch: 9 [3072/46200]	Loss: 1.1597	LR: 0.100000
Training Epoch: 9 [3328/46200]	Loss: 1.0325	LR: 0.100000
Training Epoch: 9 [3584/46200]	Loss: 1.1955	LR: 0.100000
Training Epoch: 9 [3840/46200]	Loss: 1.0550	LR: 0.100000
Training Epoch: 9 [4096/46200]	Loss: 1.2283	LR: 0.100000
Training Epoch: 9 [4352/46200]	Loss: 1.2135	LR: 0.100000
Training Epoch: 9 [4608/46200]	Loss: 1.2059	LR: 0.100000
Training Epoch: 9 [4864/46200]	Loss: 1.1069	LR: 0.100000
Training Epoch: 9 [5120/46200]	Loss: 1.0446	LR: 0.100000
Training Epoch: 9 [5376/46200]	Loss: 1.1476	LR: 0.100000
Training Epoch: 9 [5632/46200]	Loss: 1.1063	LR: 0.100000
Training Epoch: 9 [5888/46200]	Loss: 1.1399	LR: 0.100000
Training Epoch: 9 [6144/46200]	Loss: 1.2425	LR: 0.100000
Training Epoch: 9 [6400/46200]	Loss: 1.1884	LR: 0.100000
Training Epoch: 9 [6656/46200]	Loss: 1.2003	LR: 0.100000
Training Epoch: 9 [6912/46200]	Loss: 1.1209	LR: 0.100000
Training Epoch: 9 [7168/46200]	Loss: 1.1149	LR: 0.100000
Training Epoch: 9 [7424/46200]	Loss: 1.1403	LR: 0.100000
Training Epoch: 9 [7680/46200]	Loss: 1.1729	LR: 0.100000
Training Epoch: 9 [7936/46200]	Loss: 1.1126	LR: 0.100000
Training Epoch: 9 [8192/46200]	Loss: 1.2799	LR: 0.100000
Training Epoch: 9 [8448/46200]	Loss: 1.1979	LR: 0.100000
Training Epoch: 9 [8704/46200]	Loss: 1.2750	LR: 0.100000
Training Epoch: 9 [8960/46200]	Loss: 1.1231	LR: 0.100000
Training Epoch: 9 [9216/46200]	Loss: 1.2828	LR: 0.100000
Training Epoch: 9 [9472/46200]	Loss: 1.2169	LR: 0.100000
Training Epoch: 9 [9728/46200]	Loss: 1.1458	LR: 0.100000
Training Epoch: 9 [9984/46200]	Loss: 1.1917	LR: 0.100000
Training Epoch: 9 [10240/46200]	Loss: 1.3446	LR: 0.100000
Training Epoch: 9 [10496/46200]	Loss: 1.1731	LR: 0.100000
Training Epoch: 9 [10752/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 9 [11008/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 9 [11264/46200]	Loss: 1.1374	LR: 0.100000
Training Epoch: 9 [11520/46200]	Loss: 1.0995	LR: 0.100000
Training Epoch: 9 [11776/46200]	Loss: 1.3197	LR: 0.100000
Training Epoch: 9 [12032/46200]	Loss: 1.1390	LR: 0.100000
Training Epoch: 9 [12288/46200]	Loss: 0.9910	LR: 0.100000
Training Epoch: 9 [12544/46200]	Loss: 1.3562	LR: 0.100000
Training Epoch: 9 [12800/46200]	Loss: 1.1370	LR: 0.100000
Training Epoch: 9 [13056/46200]	Loss: 1.1063	LR: 0.100000
Training Epoch: 9 [13312/46200]	Loss: 1.2526	LR: 0.100000
Training Epoch: 9 [13568/46200]	Loss: 1.2723	LR: 0.100000
Training Epoch: 9 [13824/46200]	Loss: 1.2080	LR: 0.100000
Training Epoch: 9 [14080/46200]	Loss: 1.3551	LR: 0.100000
Training Epoch: 9 [14336/46200]	Loss: 1.2099	LR: 0.100000
Training Epoch: 9 [14592/46200]	Loss: 1.1720	LR: 0.100000
Training Epoch: 9 [14848/46200]	Loss: 1.1922	LR: 0.100000
Training Epoch: 9 [15104/46200]	Loss: 1.2520	LR: 0.100000
Training Epoch: 9 [15360/46200]	Loss: 1.2398	LR: 0.100000
Training Epoch: 9 [15616/46200]	Loss: 1.1395	LR: 0.100000
Training Epoch: 9 [15872/46200]	Loss: 1.2141	LR: 0.100000
Training Epoch: 9 [16128/46200]	Loss: 1.0688	LR: 0.100000
Training Epoch: 9 [16384/46200]	Loss: 1.3323	LR: 0.100000
Training Epoch: 9 [16640/46200]	Loss: 1.1160	LR: 0.100000
Training Epoch: 9 [16896/46200]	Loss: 1.2030	LR: 0.100000
Training Epoch: 9 [17152/46200]	Loss: 1.2019	LR: 0.100000
Training Epoch: 9 [17408/46200]	Loss: 1.1441	LR: 0.100000
Training Epoch: 9 [17664/46200]	Loss: 1.1343	LR: 0.100000
Training Epoch: 9 [17920/46200]	Loss: 1.2058	LR: 0.100000
Training Epoch: 9 [18176/46200]	Loss: 1.1258	LR: 0.100000
Training Epoch: 9 [18432/46200]	Loss: 1.1196	LR: 0.100000
Training Epoch: 9 [18688/46200]	Loss: 1.1830	LR: 0.100000
Training Epoch: 9 [18944/46200]	Loss: 1.2053	LR: 0.100000
Training Epoch: 9 [19200/46200]	Loss: 1.0953	LR: 0.100000
Training Epoch: 9 [19456/46200]	Loss: 1.0553	LR: 0.100000
Training Epoch: 9 [19712/46200]	Loss: 1.2471	LR: 0.100000
Training Epoch: 9 [19968/46200]	Loss: 1.1664	LR: 0.100000
Training Epoch: 9 [20224/46200]	Loss: 1.2838	LR: 0.100000
Training Epoch: 9 [20480/46200]	Loss: 1.2453	LR: 0.100000
Training Epoch: 9 [20736/46200]	Loss: 1.1260	LR: 0.100000
Training Epoch: 9 [20992/46200]	Loss: 1.1433	LR: 0.100000
Training Epoch: 9 [21248/46200]	Loss: 1.0966	LR: 0.100000
Training Epoch: 9 [21504/46200]	Loss: 1.2381	LR: 0.100000
Training Epoch: 9 [21760/46200]	Loss: 1.0987	LR: 0.100000
Training Epoch: 9 [22016/46200]	Loss: 1.1595	LR: 0.100000
Training Epoch: 9 [22272/46200]	Loss: 1.1541	LR: 0.100000
Training Epoch: 9 [22528/46200]	Loss: 1.0809	LR: 0.100000
Training Epoch: 9 [22784/46200]	Loss: 1.2523	LR: 0.100000
Training Epoch: 9 [23040/46200]	Loss: 1.2729	LR: 0.100000
Training Epoch: 9 [23296/46200]	Loss: 1.2364	LR: 0.100000
Training Epoch: 9 [23552/46200]	Loss: 1.2940	LR: 0.100000
Training Epoch: 9 [23808/46200]	Loss: 1.0976	LR: 0.100000
Training Epoch: 9 [24064/46200]	Loss: 1.1385	LR: 0.100000
Training Epoch: 9 [24320/46200]	Loss: 1.2471	LR: 0.100000
Training Epoch: 9 [24576/46200]	Loss: 1.0796	LR: 0.100000
Training Epoch: 9 [24832/46200]	Loss: 1.0836	LR: 0.100000
Training Epoch: 9 [25088/46200]	Loss: 1.1808	LR: 0.100000
Training Epoch: 9 [25344/46200]	Loss: 1.1236	LR: 0.100000
Training Epoch: 9 [25600/46200]	Loss: 1.1272	LR: 0.100000
Training Epoch: 9 [25856/46200]	Loss: 1.2466	LR: 0.100000
Training Epoch: 9 [26112/46200]	Loss: 1.2074	LR: 0.100000
Training Epoch: 9 [26368/46200]	Loss: 1.2563	LR: 0.100000
Training Epoch: 9 [26624/46200]	Loss: 1.0793	LR: 0.100000
Training Epoch: 9 [26880/46200]	Loss: 1.1316	LR: 0.100000
Training Epoch: 9 [27136/46200]	Loss: 1.2625	LR: 0.100000
Training Epoch: 9 [27392/46200]	Loss: 1.1514	LR: 0.100000
Training Epoch: 9 [27648/46200]	Loss: 1.1326	LR: 0.100000
Training Epoch: 9 [27904/46200]	Loss: 1.2950	LR: 0.100000
Training Epoch: 9 [28160/46200]	Loss: 1.0882	LR: 0.100000
Training Epoch: 9 [28416/46200]	Loss: 1.0096	LR: 0.100000
Training Epoch: 9 [28672/46200]	Loss: 1.2238	LR: 0.100000
Training Epoch: 9 [28928/46200]	Loss: 1.0991	LR: 0.100000
Training Epoch: 9 [29184/46200]	Loss: 1.1631	LR: 0.100000
Training Epoch: 9 [29440/46200]	Loss: 1.0146	LR: 0.100000
Training Epoch: 9 [29696/46200]	Loss: 1.0778	LR: 0.100000
Training Epoch: 9 [29952/46200]	Loss: 1.1382	LR: 0.100000
Training Epoch: 9 [30208/46200]	Loss: 1.1594	LR: 0.100000
Training Epoch: 9 [30464/46200]	Loss: 1.1092	LR: 0.100000
Training Epoch: 9 [30720/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 9 [30976/46200]	Loss: 0.9794	LR: 0.100000
Training Epoch: 9 [31232/46200]	Loss: 1.0303	LR: 0.100000
Training Epoch: 9 [31488/46200]	Loss: 1.0996	LR: 0.100000
Training Epoch: 9 [31744/46200]	Loss: 1.1988	LR: 0.100000
Training Epoch: 9 [32000/46200]	Loss: 1.1629	LR: 0.100000
Training Epoch: 9 [32256/46200]	Loss: 1.1820	LR: 0.100000
Training Epoch: 9 [32512/46200]	Loss: 1.0849	LR: 0.100000
Training Epoch: 9 [32768/46200]	Loss: 1.3160	LR: 0.100000
Training Epoch: 9 [33024/46200]	Loss: 1.1234	LR: 0.100000
Training Epoch: 9 [33280/46200]	Loss: 1.2193	LR: 0.100000
Training Epoch: 9 [33536/46200]	Loss: 0.9737	LR: 0.100000
Training Epoch: 9 [33792/46200]	Loss: 1.0806	LR: 0.100000
Training Epoch: 9 [34048/46200]	Loss: 1.2768	LR: 0.100000
Training Epoch: 9 [34304/46200]	Loss: 1.2599	LR: 0.100000
Training Epoch: 9 [34560/46200]	Loss: 1.1692	LR: 0.100000
Training Epoch: 9 [34816/46200]	Loss: 1.0996	LR: 0.100000
Training Epoch: 9 [35072/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 9 [35328/46200]	Loss: 0.9747	LR: 0.100000
Training Epoch: 9 [35584/46200]	Loss: 1.1161	LR: 0.100000
Training Epoch: 9 [35840/46200]	Loss: 1.1035	LR: 0.100000
Training Epoch: 9 [36096/46200]	Loss: 1.0432	LR: 0.100000
Training Epoch: 9 [36352/46200]	Loss: 1.1155	LR: 0.100000
Training Epoch: 9 [36608/46200]	Loss: 1.0823	LR: 0.100000
Training Epoch: 9 [36864/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 9 [37120/46200]	Loss: 1.0740	LR: 0.100000
Training Epoch: 9 [37376/46200]	Loss: 1.1856	LR: 0.100000
Training Epoch: 9 [37632/46200]	Loss: 1.0773	LR: 0.100000
Training Epoch: 9 [37888/46200]	Loss: 1.0317	LR: 0.100000
Training Epoch: 9 [38144/46200]	Loss: 1.0556	LR: 0.100000
Training Epoch: 9 [38400/46200]	Loss: 1.0499	LR: 0.100000
Training Epoch: 9 [38656/46200]	Loss: 1.2200	LR: 0.100000
Training Epoch: 9 [38912/46200]	Loss: 1.2438	LR: 0.100000
Training Epoch: 9 [39168/46200]	Loss: 1.1834	LR: 0.100000
Training Epoch: 9 [39424/46200]	Loss: 1.1805	LR: 0.100000
Training Epoch: 9 [39680/46200]	Loss: 1.1952	LR: 0.100000
Training Epoch: 9 [39936/46200]	Loss: 1.1210	LR: 0.100000
Training Epoch: 9 [40192/46200]	Loss: 1.1967	LR: 0.100000
Training Epoch: 9 [40448/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 9 [40704/46200]	Loss: 1.0483	LR: 0.100000
Training Epoch: 9 [40960/46200]	Loss: 1.2139	LR: 0.100000
Training Epoch: 9 [41216/46200]	Loss: 1.0265	LR: 0.100000
Training Epoch: 9 [41472/46200]	Loss: 1.1589	LR: 0.100000
Training Epoch: 9 [41728/46200]	Loss: 1.0017	LR: 0.100000
Training Epoch: 9 [41984/46200]	Loss: 1.1375	LR: 0.100000
Training Epoch: 9 [42240/46200]	Loss: 0.9872	LR: 0.100000
Training Epoch: 9 [42496/46200]	Loss: 1.0747	LR: 0.100000
Training Epoch: 9 [42752/46200]	Loss: 1.0616	LR: 0.100000
Training Epoch: 9 [43008/46200]	Loss: 1.1946	LR: 0.100000
Training Epoch: 9 [43264/46200]	Loss: 1.0670	LR: 0.100000
Training Epoch: 9 [43520/46200]	Loss: 1.0628	LR: 0.100000
Training Epoch: 9 [43776/46200]	Loss: 1.0728	LR: 0.100000
Training Epoch: 9 [44032/46200]	Loss: 1.0737	LR: 0.100000
Training Epoch: 9 [44288/46200]	Loss: 1.0811	LR: 0.100000
Training Epoch: 9 [44544/46200]	Loss: 1.2472	LR: 0.100000
Training Epoch: 9 [44800/46200]	Loss: 1.0785	LR: 0.100000
Training Epoch: 9 [45056/46200]	Loss: 1.0816	LR: 0.100000
Training Epoch: 9 [45312/46200]	Loss: 1.1279	LR: 0.100000
Training Epoch: 9 [45568/46200]	Loss: 1.1778	LR: 0.100000
Training Epoch: 9 [45824/46200]	Loss: 1.1602	LR: 0.100000
Training Epoch: 9 [46080/46200]	Loss: 1.1101	LR: 0.100000
Training Epoch: 9 [46200/46200]	Loss: 1.0502	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1456, Train Accuracy: 0.6335
Epoch 9 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0049, Accuracy: 0.6169, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1390	LR: 0.100000
Training Epoch: 10 [512/46200]	Loss: 0.9734	LR: 0.100000
Training Epoch: 10 [768/46200]	Loss: 1.0832	LR: 0.100000
Training Epoch: 10 [1024/46200]	Loss: 1.0215	LR: 0.100000
Training Epoch: 10 [1280/46200]	Loss: 1.0599	LR: 0.100000
Training Epoch: 10 [1536/46200]	Loss: 1.0823	LR: 0.100000
Training Epoch: 10 [1792/46200]	Loss: 1.0006	LR: 0.100000
Training Epoch: 10 [2048/46200]	Loss: 0.9885	LR: 0.100000
Training Epoch: 10 [2304/46200]	Loss: 1.1487	LR: 0.100000
Training Epoch: 10 [2560/46200]	Loss: 1.1162	LR: 0.100000
Training Epoch: 10 [2816/46200]	Loss: 1.0925	LR: 0.100000
Training Epoch: 10 [3072/46200]	Loss: 1.1152	LR: 0.100000
Training Epoch: 10 [3328/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 10 [3584/46200]	Loss: 1.0173	LR: 0.100000
Training Epoch: 10 [3840/46200]	Loss: 1.1847	LR: 0.100000
Training Epoch: 10 [4096/46200]	Loss: 1.0688	LR: 0.100000
Training Epoch: 10 [4352/46200]	Loss: 1.0943	LR: 0.100000
Training Epoch: 10 [4608/46200]	Loss: 1.2240	LR: 0.100000
Training Epoch: 10 [4864/46200]	Loss: 0.9890	LR: 0.100000
Training Epoch: 10 [5120/46200]	Loss: 1.0280	LR: 0.100000
Training Epoch: 10 [5376/46200]	Loss: 1.0816	LR: 0.100000
Training Epoch: 10 [5632/46200]	Loss: 1.1734	LR: 0.100000
Training Epoch: 10 [5888/46200]	Loss: 1.0998	LR: 0.100000
Training Epoch: 10 [6144/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 10 [6400/46200]	Loss: 1.1383	LR: 0.100000
Training Epoch: 10 [6656/46200]	Loss: 0.9981	LR: 0.100000
Training Epoch: 10 [6912/46200]	Loss: 1.1095	LR: 0.100000
Training Epoch: 10 [7168/46200]	Loss: 1.0837	LR: 0.100000
Training Epoch: 10 [7424/46200]	Loss: 1.0326	LR: 0.100000
Training Epoch: 10 [7680/46200]	Loss: 1.1792	LR: 0.100000
Training Epoch: 10 [7936/46200]	Loss: 1.1359	LR: 0.100000
Training Epoch: 10 [8192/46200]	Loss: 1.0632	LR: 0.100000
Training Epoch: 10 [8448/46200]	Loss: 1.0429	LR: 0.100000
Training Epoch: 10 [8704/46200]	Loss: 1.0486	LR: 0.100000
Training Epoch: 10 [8960/46200]	Loss: 0.9421	LR: 0.100000
Training Epoch: 10 [9216/46200]	Loss: 1.0137	LR: 0.100000
Training Epoch: 10 [9472/46200]	Loss: 1.2201	LR: 0.100000
Training Epoch: 10 [9728/46200]	Loss: 1.0565	LR: 0.100000
Training Epoch: 10 [9984/46200]	Loss: 0.9753	LR: 0.100000
Training Epoch: 10 [10240/46200]	Loss: 1.0157	LR: 0.100000
Training Epoch: 10 [10496/46200]	Loss: 1.1791	LR: 0.100000
Training Epoch: 10 [10752/46200]	Loss: 1.0540	LR: 0.100000
Training Epoch: 10 [11008/46200]	Loss: 1.0427	LR: 0.100000
Training Epoch: 10 [11264/46200]	Loss: 1.1090	LR: 0.100000
Training Epoch: 10 [11520/46200]	Loss: 1.0270	LR: 0.100000
Training Epoch: 10 [11776/46200]	Loss: 1.2119	LR: 0.100000
Training Epoch: 10 [12032/46200]	Loss: 0.9852	LR: 0.100000
Training Epoch: 10 [12288/46200]	Loss: 1.0213	LR: 0.100000
Training Epoch: 10 [12544/46200]	Loss: 1.0725	LR: 0.100000
Training Epoch: 10 [12800/46200]	Loss: 1.0480	LR: 0.100000
Training Epoch: 10 [13056/46200]	Loss: 0.9923	LR: 0.100000
Training Epoch: 10 [13312/46200]	Loss: 1.0838	LR: 0.100000
Training Epoch: 10 [13568/46200]	Loss: 1.1299	LR: 0.100000
Training Epoch: 10 [13824/46200]	Loss: 1.0812	LR: 0.100000
Training Epoch: 10 [14080/46200]	Loss: 1.1381	LR: 0.100000
Training Epoch: 10 [14336/46200]	Loss: 1.1152	LR: 0.100000
Training Epoch: 10 [14592/46200]	Loss: 1.0491	LR: 0.100000
Training Epoch: 10 [14848/46200]	Loss: 1.0630	LR: 0.100000
Training Epoch: 10 [15104/46200]	Loss: 1.1922	LR: 0.100000
Training Epoch: 10 [15360/46200]	Loss: 0.8820	LR: 0.100000
Training Epoch: 10 [15616/46200]	Loss: 0.9856	LR: 0.100000
Training Epoch: 10 [15872/46200]	Loss: 1.1203	LR: 0.100000
Training Epoch: 10 [16128/46200]	Loss: 0.9924	LR: 0.100000
Training Epoch: 10 [16384/46200]	Loss: 1.2153	LR: 0.100000
Training Epoch: 10 [16640/46200]	Loss: 1.1830	LR: 0.100000
Training Epoch: 10 [16896/46200]	Loss: 1.0641	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 0.9271	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.0004	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.1365	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.0667	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.0703	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.1516	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 0.9906	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.0348	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.0126	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1003	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.0183	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.2161	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 0.9568	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 0.9210	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 1.0148	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 0.9621	LR: 0.100000
Training Epoch: 10 [21248/46200]	Loss: 1.0743	LR: 0.100000
Training Epoch: 10 [21504/46200]	Loss: 1.1120	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.0823	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 1.0111	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.1031	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.0190	LR: 0.100000
Training Epoch: 10 [22784/46200]	Loss: 1.0795	LR: 0.100000
Training Epoch: 10 [23040/46200]	Loss: 1.0801	LR: 0.100000
Training Epoch: 10 [23296/46200]	Loss: 1.0737	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.1341	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 0.9878	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.1708	LR: 0.100000
Training Epoch: 10 [24320/46200]	Loss: 1.0652	LR: 0.100000
Training Epoch: 10 [24576/46200]	Loss: 1.0758	LR: 0.100000
Training Epoch: 10 [24832/46200]	Loss: 1.1144	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.0078	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 1.1764	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.0873	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.1352	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 1.0248	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 1.1830	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.0179	LR: 0.100000
Training Epoch: 10 [26880/46200]	Loss: 1.1342	LR: 0.100000
Training Epoch: 10 [27136/46200]	Loss: 1.1141	LR: 0.100000
Training Epoch: 10 [27392/46200]	Loss: 1.1999	LR: 0.100000
Training Epoch: 10 [27648/46200]	Loss: 1.1616	LR: 0.100000
Training Epoch: 10 [27904/46200]	Loss: 0.9838	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.0674	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.1048	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.1913	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.1529	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.0665	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.0838	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 0.9591	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.1007	LR: 0.100000
Training Epoch: 10 [30208/46200]	Loss: 1.0098	LR: 0.100000
Training Epoch: 10 [30464/46200]	Loss: 0.9156	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.0476	LR: 0.100000
Training Epoch: 10 [30976/46200]	Loss: 1.0465	LR: 0.100000
Training Epoch: 10 [31232/46200]	Loss: 1.0748	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 0.9086	LR: 0.100000
Training Epoch: 10 [31744/46200]	Loss: 1.0229	LR: 0.100000
Training Epoch: 10 [32000/46200]	Loss: 1.2530	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 0.9890	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 0.8831	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 1.0583	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.0826	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 1.1329	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 0.9411	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.1869	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.0392	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 0.9919	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.2026	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 1.1409	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.0739	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.0502	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.0285	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.0856	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.0340	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 1.0939	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.1003	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.0403	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.1344	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.2305	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.1358	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.0613	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.1123	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 1.1116	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1279	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.1611	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 0.9804	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0070	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.1884	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.1474	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.1948	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.1265	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.1432	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.1589	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.0193	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.0251	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.2040	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.1059	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.1233	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.0526	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.0855	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.0396	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.0266	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.2341	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.0453	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.0635	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.0130	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.1919	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.0827	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1919	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 0.9850	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0772, Train Accuracy: 0.6515
Epoch 10 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0046, Accuracy: 0.6312, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-10-best.pth
Training Epoch: 11 [256/46200]	Loss: 1.0521	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 0.9714	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 0.9694	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.1900	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 1.0050	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.0057	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.0185	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 1.0163	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.0397	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.0227	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.0338	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 0.9289	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 1.0787	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 0.9683	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 0.9352	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 0.9471	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 0.9722	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 1.1020	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 0.9096	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 0.9874	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 1.1025	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.0031	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.0269	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 1.0716	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 0.9364	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 0.9971	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 0.9813	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 1.0261	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.0363	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.1089	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 1.1699	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.0533	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 0.9447	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.0401	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 0.8244	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.0869	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 0.8702	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 0.9567	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 0.9907	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 1.0849	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 1.0287	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.0605	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 1.0867	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 1.1070	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 0.9737	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 0.9302	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.0624	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 0.9824	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 0.9171	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 0.9177	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.0540	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 0.9974	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.0622	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.1089	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 0.9501	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 0.9860	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 0.9336	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 0.9794	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.0137	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.1071	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 1.1203	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.1717	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0200	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 0.8955	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.0298	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.1946	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 0.8301	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.0319	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.0419	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 0.9311	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 0.8716	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 0.9198	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.0382	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 0.9939	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 0.9906	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.0624	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 0.9788	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 0.9463	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 0.9433	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 0.9525	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 1.0311	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 0.9793	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 0.9928	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 0.9388	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 1.0676	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.0629	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 0.9708	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.1906	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.1875	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.0563	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 1.0395	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 1.0380	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 0.9674	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 1.1111	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.1007	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 1.1366	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 0.9492	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 1.1047	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 1.0599	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 1.0123	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 0.9557	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 1.0440	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.0967	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.0002	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.0035	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.0924	LR: 0.100000
Training Epoch: 11 [28160/46200]	Loss: 1.1174	LR: 0.100000
Training Epoch: 11 [28416/46200]	Loss: 1.0199	LR: 0.100000
Training Epoch: 11 [28672/46200]	Loss: 1.0963	LR: 0.100000
Training Epoch: 11 [28928/46200]	Loss: 1.0181	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 0.8756	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.0315	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 0.9840	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 1.0065	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 1.0504	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.0645	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 1.1862	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 1.1483	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 1.1456	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 1.1229	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 1.0261	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 0.9142	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.1307	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.0195	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.1143	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.0647	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 0.8695	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 0.9518	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 0.9869	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 0.9770	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 0.9870	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.9330	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.0933	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 1.1217	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 0.9258	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.2242	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 0.9961	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 1.0908	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.0960	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 0.8947	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.1806	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0548	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.0836	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 0.9903	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.0694	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.0461	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 0.9995	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0263	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 1.0155	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 1.0926	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.0515	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 0.9535	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 0.8839	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 0.9189	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.0510	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 0.9942	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 0.8717	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 0.9109	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.1584	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 1.0305	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 0.9016	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.0084	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.0993	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 1.0094	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 1.0061	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 1.2127	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.0232	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 1.0434	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 0.9963	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 1.0511	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 1.1639	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.0363	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 1.0556	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0246, Train Accuracy: 0.6695
Epoch 11 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0045, Accuracy: 0.6441, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 0.8841	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 0.9911	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 0.9451	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 0.9433	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 1.0288	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 1.2393	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 0.9232	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 0.9926	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 1.0505	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 1.0475	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 0.9608	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 1.0575	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 0.9694	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 0.9856	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 1.1112	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 1.0041	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 0.8934	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 1.0055	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 0.9687	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 1.0174	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 1.0411	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 1.0627	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 0.9612	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 0.9163	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 1.1461	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 0.9436	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 0.8754	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 1.0144	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 0.8497	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 0.8576	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 1.0748	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 1.0854	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 1.1072	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 1.0447	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 0.8509	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 0.9730	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 1.0742	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 1.0189	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 0.9873	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 0.9723	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 0.9956	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 1.0577	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 1.0485	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 1.0845	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 1.0353	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 0.9782	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 0.9125	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.0225	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 0.9143	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 0.9558	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0298	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 1.0591	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 0.9109	LR: 0.100000
Training Epoch: 12 [14848/46200]	Loss: 1.0386	LR: 0.100000
Training Epoch: 12 [15104/46200]	Loss: 0.9419	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 0.9503	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 0.7986	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 1.0033	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 0.9679	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 1.0012	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 1.0375	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.0284	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 0.9527	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 0.9351	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 0.9398	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 1.1341	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 1.0703	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 0.9876	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 0.9369	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 0.8607	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 1.0335	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 0.9072	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 0.9221	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 0.8210	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 1.0350	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 1.0289	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 0.9976	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 0.9217	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 0.9910	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 0.8745	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 0.9602	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 0.8376	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 0.9604	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 1.0258	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 0.9197	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 0.9521	LR: 0.100000
Training Epoch: 12 [23552/46200]	Loss: 0.9460	LR: 0.100000
Training Epoch: 12 [23808/46200]	Loss: 0.9657	LR: 0.100000
Training Epoch: 12 [24064/46200]	Loss: 1.1504	LR: 0.100000
Training Epoch: 12 [24320/46200]	Loss: 1.0690	LR: 0.100000
Training Epoch: 12 [24576/46200]	Loss: 1.0113	LR: 0.100000
Training Epoch: 12 [24832/46200]	Loss: 0.9452	LR: 0.100000
Training Epoch: 12 [25088/46200]	Loss: 1.0674	LR: 0.100000
Training Epoch: 12 [25344/46200]	Loss: 1.0006	LR: 0.100000
Training Epoch: 12 [25600/46200]	Loss: 1.1247	LR: 0.100000
Training Epoch: 12 [25856/46200]	Loss: 0.8180	LR: 0.100000
Training Epoch: 12 [26112/46200]	Loss: 1.1249	LR: 0.100000
Training Epoch: 12 [26368/46200]	Loss: 0.7546	LR: 0.100000
Training Epoch: 12 [26624/46200]	Loss: 1.0075	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9812	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 0.9420	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 0.9911	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 1.0368	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 0.9823	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 0.9376	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 0.8813	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 1.0590	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 0.9204	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 0.9096	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 1.1636	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 1.0368	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 0.9432	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 0.8427	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 0.9081	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.1312	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 1.0139	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 0.9321	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 1.1628	LR: 0.100000
Training Epoch: 12 [31744/46200]	Loss: 0.8757	LR: 0.100000
Training Epoch: 12 [32000/46200]	Loss: 0.9706	LR: 0.100000
Training Epoch: 12 [32256/46200]	Loss: 0.9625	LR: 0.100000
Training Epoch: 12 [32512/46200]	Loss: 0.8559	LR: 0.100000
Training Epoch: 12 [32768/46200]	Loss: 0.9796	LR: 0.100000
Training Epoch: 12 [33024/46200]	Loss: 1.0862	LR: 0.100000
Training Epoch: 12 [33280/46200]	Loss: 1.0018	LR: 0.100000
Training Epoch: 12 [33536/46200]	Loss: 0.8776	LR: 0.100000
Training Epoch: 12 [33792/46200]	Loss: 0.9838	LR: 0.100000
Training Epoch: 12 [34048/46200]	Loss: 1.1160	LR: 0.100000
Training Epoch: 12 [34304/46200]	Loss: 0.9642	LR: 0.100000
Training Epoch: 12 [34560/46200]	Loss: 1.0232	LR: 0.100000
Training Epoch: 12 [34816/46200]	Loss: 1.0009	LR: 0.100000
Training Epoch: 12 [35072/46200]	Loss: 0.9963	LR: 0.100000
Training Epoch: 12 [35328/46200]	Loss: 1.1063	LR: 0.100000
Training Epoch: 12 [35584/46200]	Loss: 1.0623	LR: 0.100000
Training Epoch: 12 [35840/46200]	Loss: 0.8609	LR: 0.100000
Training Epoch: 12 [36096/46200]	Loss: 0.9697	LR: 0.100000
Training Epoch: 12 [36352/46200]	Loss: 0.9944	LR: 0.100000
Training Epoch: 12 [36608/46200]	Loss: 1.0147	LR: 0.100000
Training Epoch: 12 [36864/46200]	Loss: 1.0832	LR: 0.100000
Training Epoch: 12 [37120/46200]	Loss: 1.0193	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 1.1021	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 0.8811	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 0.9784	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 0.8419	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 1.0687	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 0.9054	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 0.8713	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 1.0045	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 0.9726	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 0.9197	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 0.9109	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 0.9593	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 0.9041	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 0.8627	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 0.9619	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 0.9625	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 0.9567	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 0.8535	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 0.9935	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 0.9205	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 1.0922	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 0.9856	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 0.9605	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 0.8344	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 0.8748	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 0.9548	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 1.0369	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 1.0016	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 0.8731	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.0517	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 0.9454	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 0.9631	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 0.9863	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 1.0694	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9807, Train Accuracy: 0.6808
Epoch 12 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0049, Accuracy: 0.6203, Time consumed:0.92s
Training Epoch: 13 [256/46200]	Loss: 0.9186	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 0.8524	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 1.0628	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 0.9573	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 0.9039	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 0.9358	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 0.8911	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 0.8720	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 0.8898	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 0.9997	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 0.7979	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 0.9966	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 0.7921	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 0.9426	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 0.7976	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 0.8844	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 0.9308	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 0.9800	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 0.9169	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 0.8445	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 1.0414	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 0.9916	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 0.9683	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 1.0410	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 0.9990	LR: 0.100000
Training Epoch: 13 [6912/46200]	Loss: 0.9970	LR: 0.100000
Training Epoch: 13 [7168/46200]	Loss: 1.0329	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 1.0042	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 1.0350	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 0.9095	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 0.8282	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 0.9168	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 0.8919	LR: 0.100000
Training Epoch: 13 [8960/46200]	Loss: 1.0166	LR: 0.100000
Training Epoch: 13 [9216/46200]	Loss: 0.8838	LR: 0.100000
Training Epoch: 13 [9472/46200]	Loss: 0.9532	LR: 0.100000
Training Epoch: 13 [9728/46200]	Loss: 0.8762	LR: 0.100000
Training Epoch: 13 [9984/46200]	Loss: 0.8741	LR: 0.100000
Training Epoch: 13 [10240/46200]	Loss: 0.8562	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.9583	LR: 0.100000
Training Epoch: 13 [10752/46200]	Loss: 0.9231	LR: 0.100000
Training Epoch: 13 [11008/46200]	Loss: 1.0484	LR: 0.100000
Training Epoch: 13 [11264/46200]	Loss: 1.0559	LR: 0.100000
Training Epoch: 13 [11520/46200]	Loss: 0.9190	LR: 0.100000
Training Epoch: 13 [11776/46200]	Loss: 1.0724	LR: 0.100000
Training Epoch: 13 [12032/46200]	Loss: 0.8290	LR: 0.100000
Training Epoch: 13 [12288/46200]	Loss: 0.9863	LR: 0.100000
Training Epoch: 13 [12544/46200]	Loss: 0.9405	LR: 0.100000
Training Epoch: 13 [12800/46200]	Loss: 0.9265	LR: 0.100000
Training Epoch: 13 [13056/46200]	Loss: 0.9147	LR: 0.100000
Training Epoch: 13 [13312/46200]	Loss: 0.8997	LR: 0.100000
Training Epoch: 13 [13568/46200]	Loss: 0.9402	LR: 0.100000
Training Epoch: 13 [13824/46200]	Loss: 0.9614	LR: 0.100000
Training Epoch: 13 [14080/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 13 [14336/46200]	Loss: 1.1120	LR: 0.100000
Training Epoch: 13 [14592/46200]	Loss: 0.8714	LR: 0.100000
Training Epoch: 13 [14848/46200]	Loss: 0.9487	LR: 0.100000
Training Epoch: 13 [15104/46200]	Loss: 0.9245	LR: 0.100000
Training Epoch: 13 [15360/46200]	Loss: 0.9716	LR: 0.100000
Training Epoch: 13 [15616/46200]	Loss: 0.8449	LR: 0.100000
Training Epoch: 13 [15872/46200]	Loss: 0.8454	LR: 0.100000
Training Epoch: 13 [16128/46200]	Loss: 1.2143	LR: 0.100000
Training Epoch: 13 [16384/46200]	Loss: 0.9566	LR: 0.100000
Training Epoch: 13 [16640/46200]	Loss: 1.0055	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 0.8635	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 0.8255	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 1.0023	LR: 0.100000
Training Epoch: 13 [17664/46200]	Loss: 0.9679	LR: 0.100000
Training Epoch: 13 [17920/46200]	Loss: 1.0594	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 0.9935	LR: 0.100000
Training Epoch: 13 [18432/46200]	Loss: 1.0259	LR: 0.100000
Training Epoch: 13 [18688/46200]	Loss: 0.9738	LR: 0.100000
Training Epoch: 13 [18944/46200]	Loss: 0.9056	LR: 0.100000
Training Epoch: 13 [19200/46200]	Loss: 0.8768	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 0.9059	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 0.8690	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 0.8497	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 0.8959	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 1.0088	LR: 0.100000
Training Epoch: 13 [20736/46200]	Loss: 0.9304	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 0.8090	LR: 0.100000
Training Epoch: 13 [21248/46200]	Loss: 0.9909	LR: 0.100000
Training Epoch: 13 [21504/46200]	Loss: 0.9949	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 0.9155	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.8716	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 0.9797	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 0.9356	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 0.8470	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 0.8855	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 0.9683	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 0.8718	LR: 0.100000
Training Epoch: 13 [23808/46200]	Loss: 0.9612	LR: 0.100000
Training Epoch: 13 [24064/46200]	Loss: 0.9723	LR: 0.100000
Training Epoch: 13 [24320/46200]	Loss: 0.9977	LR: 0.100000
Training Epoch: 13 [24576/46200]	Loss: 0.8980	LR: 0.100000
Training Epoch: 13 [24832/46200]	Loss: 0.8996	LR: 0.100000
Training Epoch: 13 [25088/46200]	Loss: 0.9327	LR: 0.100000
Training Epoch: 13 [25344/46200]	Loss: 1.0615	LR: 0.100000
Training Epoch: 13 [25600/46200]	Loss: 1.0339	LR: 0.100000
Training Epoch: 13 [25856/46200]	Loss: 0.8646	LR: 0.100000
Training Epoch: 13 [26112/46200]	Loss: 1.0106	LR: 0.100000
Training Epoch: 13 [26368/46200]	Loss: 0.9579	LR: 0.100000
Training Epoch: 13 [26624/46200]	Loss: 0.8243	LR: 0.100000
Training Epoch: 13 [26880/46200]	Loss: 0.9616	LR: 0.100000
Training Epoch: 13 [27136/46200]	Loss: 0.9720	LR: 0.100000
Training Epoch: 13 [27392/46200]	Loss: 1.0002	LR: 0.100000
Training Epoch: 13 [27648/46200]	Loss: 0.9653	LR: 0.100000
Training Epoch: 13 [27904/46200]	Loss: 1.0069	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 1.0013	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 0.9330	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 0.8991	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 0.9752	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.0158	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.0108	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 1.0293	LR: 0.100000
Training Epoch: 13 [30208/46200]	Loss: 0.8749	LR: 0.100000
Training Epoch: 13 [30464/46200]	Loss: 1.0336	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 1.0274	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 0.9293	LR: 0.100000
Training Epoch: 13 [31232/46200]	Loss: 1.0353	LR: 0.100000
Training Epoch: 13 [31488/46200]	Loss: 1.1343	LR: 0.100000
Training Epoch: 13 [31744/46200]	Loss: 1.0649	LR: 0.100000
Training Epoch: 13 [32000/46200]	Loss: 0.9646	LR: 0.100000
Training Epoch: 13 [32256/46200]	Loss: 0.9262	LR: 0.100000
Training Epoch: 13 [32512/46200]	Loss: 1.0270	LR: 0.100000
Training Epoch: 13 [32768/46200]	Loss: 0.9017	LR: 0.100000
Training Epoch: 13 [33024/46200]	Loss: 1.0019	LR: 0.100000
Training Epoch: 13 [33280/46200]	Loss: 0.8524	LR: 0.100000
Training Epoch: 13 [33536/46200]	Loss: 0.9920	LR: 0.100000
Training Epoch: 13 [33792/46200]	Loss: 0.9748	LR: 0.100000
Training Epoch: 13 [34048/46200]	Loss: 1.1161	LR: 0.100000
Training Epoch: 13 [34304/46200]	Loss: 0.9738	LR: 0.100000
Training Epoch: 13 [34560/46200]	Loss: 0.9326	LR: 0.100000
Training Epoch: 13 [34816/46200]	Loss: 0.8289	LR: 0.100000
Training Epoch: 13 [35072/46200]	Loss: 0.9902	LR: 0.100000
Training Epoch: 13 [35328/46200]	Loss: 0.9033	LR: 0.100000
Training Epoch: 13 [35584/46200]	Loss: 0.9158	LR: 0.100000
Training Epoch: 13 [35840/46200]	Loss: 1.0905	LR: 0.100000
Training Epoch: 13 [36096/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 13 [36352/46200]	Loss: 1.0270	LR: 0.100000
Training Epoch: 13 [36608/46200]	Loss: 0.8336	LR: 0.100000
Training Epoch: 13 [36864/46200]	Loss: 0.9932	LR: 0.100000
Training Epoch: 13 [37120/46200]	Loss: 0.8221	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 0.8159	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 0.9172	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 1.0143	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 0.9076	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 1.0018	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 1.0348	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 0.8661	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 0.9762	LR: 0.100000
Training Epoch: 13 [39424/46200]	Loss: 0.8801	LR: 0.100000
Training Epoch: 13 [39680/46200]	Loss: 1.0519	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 0.8555	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 0.9699	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 0.9034	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 0.9204	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 0.9052	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 0.8841	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 0.9892	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 0.8713	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 0.8002	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 0.8149	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.9161	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 0.9567	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 0.8943	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 1.0659	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 0.8022	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 0.9319	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 0.9721	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 1.0836	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 0.9143	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 1.0143	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0607	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 0.8781	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 0.8492	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 0.9686	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.9276	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 1.0726	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9461, Train Accuracy: 0.6943
Epoch 13 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0054, Accuracy: 0.5988, Time consumed:0.90s
Training Epoch: 14 [256/46200]	Loss: 0.7148	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 1.0093	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.8950	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.7667	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9374	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 1.0775	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 0.9646	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 1.1097	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 0.7682	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 0.8768	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 0.7054	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.9790	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 0.8558	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 0.8541	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 0.8961	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.8644	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 0.9441	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 0.8012	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 0.9823	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 0.9330	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.8963	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.9156	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 0.9881	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.8333	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.8432	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.8616	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 0.7807	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.8472	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 0.8378	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.7752	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 0.8127	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 0.9742	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.9854	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 0.7883	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.7579	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.8431	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 0.8216	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 0.9803	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 0.7844	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9472	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 0.8613	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 1.1395	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 0.8849	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 0.9916	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 0.8362	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 0.8584	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9756	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.8763	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.7545	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.8548	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 0.8757	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 0.9027	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 0.9003	LR: 0.100000
Training Epoch: 14 [14080/46200]	Loss: 1.0686	LR: 0.100000
Training Epoch: 14 [14336/46200]	Loss: 0.9120	LR: 0.100000
Training Epoch: 14 [14592/46200]	Loss: 0.9806	LR: 0.100000
Training Epoch: 14 [14848/46200]	Loss: 0.9502	LR: 0.100000
Training Epoch: 14 [15104/46200]	Loss: 0.9550	LR: 0.100000
Training Epoch: 14 [15360/46200]	Loss: 0.9386	LR: 0.100000
Training Epoch: 14 [15616/46200]	Loss: 0.9838	LR: 0.100000
Training Epoch: 14 [15872/46200]	Loss: 0.8578	LR: 0.100000
Training Epoch: 14 [16128/46200]	Loss: 0.7874	LR: 0.100000
Training Epoch: 14 [16384/46200]	Loss: 0.7820	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 0.8229	LR: 0.100000
Training Epoch: 14 [16896/46200]	Loss: 0.8589	LR: 0.100000
Training Epoch: 14 [17152/46200]	Loss: 0.8191	LR: 0.100000
Training Epoch: 14 [17408/46200]	Loss: 0.9442	LR: 0.100000
Training Epoch: 14 [17664/46200]	Loss: 0.8162	LR: 0.100000
Training Epoch: 14 [17920/46200]	Loss: 0.9820	LR: 0.100000
Training Epoch: 14 [18176/46200]	Loss: 0.9003	LR: 0.100000
Training Epoch: 14 [18432/46200]	Loss: 0.8753	LR: 0.100000
Training Epoch: 14 [18688/46200]	Loss: 0.7697	LR: 0.100000
Training Epoch: 14 [18944/46200]	Loss: 0.8049	LR: 0.100000
Training Epoch: 14 [19200/46200]	Loss: 0.9749	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 0.9327	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 0.9311	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 0.8262	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 0.9425	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 0.8568	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 0.8742	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 0.9979	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 0.9857	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0829	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 0.8136	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 1.0403	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.8791	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 0.9604	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 0.8721	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 0.9352	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 1.0418	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.9067	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 1.0301	LR: 0.100000
Training Epoch: 14 [24064/46200]	Loss: 0.9789	LR: 0.100000
Training Epoch: 14 [24320/46200]	Loss: 0.9068	LR: 0.100000
Training Epoch: 14 [24576/46200]	Loss: 0.8199	LR: 0.100000
Training Epoch: 14 [24832/46200]	Loss: 1.0269	LR: 0.100000
Training Epoch: 14 [25088/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 14 [25344/46200]	Loss: 0.8976	LR: 0.100000
Training Epoch: 14 [25600/46200]	Loss: 0.9368	LR: 0.100000
Training Epoch: 14 [25856/46200]	Loss: 0.8719	LR: 0.100000
Training Epoch: 14 [26112/46200]	Loss: 0.9890	LR: 0.100000
Training Epoch: 14 [26368/46200]	Loss: 0.8520	LR: 0.100000
Training Epoch: 14 [26624/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 14 [26880/46200]	Loss: 0.9271	LR: 0.100000
Training Epoch: 14 [27136/46200]	Loss: 1.0313	LR: 0.100000
Training Epoch: 14 [27392/46200]	Loss: 0.8394	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 0.7659	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 0.9184	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 0.8934	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 0.8001	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 0.9777	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 0.8997	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 0.9842	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.8419	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 0.9893	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 0.9009	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 1.0177	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 0.8432	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 0.8910	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 0.8872	LR: 0.100000
Training Epoch: 14 [31488/46200]	Loss: 0.8851	LR: 0.100000
Training Epoch: 14 [31744/46200]	Loss: 0.8696	LR: 0.100000
Training Epoch: 14 [32000/46200]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [32256/46200]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [32512/46200]	Loss: 0.9419	LR: 0.100000
Training Epoch: 14 [32768/46200]	Loss: 0.8649	LR: 0.100000
Training Epoch: 14 [33024/46200]	Loss: 0.8807	LR: 0.100000
Training Epoch: 14 [33280/46200]	Loss: 0.9040	LR: 0.100000
Training Epoch: 14 [33536/46200]	Loss: 1.0318	LR: 0.100000
Training Epoch: 14 [33792/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 14 [34048/46200]	Loss: 0.9595	LR: 0.100000
Training Epoch: 14 [34304/46200]	Loss: 0.9845	LR: 0.100000
Training Epoch: 14 [34560/46200]	Loss: 0.7803	LR: 0.100000
Training Epoch: 14 [34816/46200]	Loss: 0.9535	LR: 0.100000
Training Epoch: 14 [35072/46200]	Loss: 0.8603	LR: 0.100000
Training Epoch: 14 [35328/46200]	Loss: 0.8446	LR: 0.100000
Training Epoch: 14 [35584/46200]	Loss: 0.7591	LR: 0.100000
Training Epoch: 14 [35840/46200]	Loss: 1.0092	LR: 0.100000
Training Epoch: 14 [36096/46200]	Loss: 0.8543	LR: 0.100000
Training Epoch: 14 [36352/46200]	Loss: 0.8525	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 0.9274	LR: 0.100000
Training Epoch: 14 [36864/46200]	Loss: 1.1650	LR: 0.100000
Training Epoch: 14 [37120/46200]	Loss: 0.9756	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 0.8360	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 0.9154	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 0.9235	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 0.9317	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 0.9344	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 0.7956	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.8278	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 0.8575	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 0.9224	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 0.7721	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 0.9683	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.9934	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 0.8870	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 1.0206	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 0.9184	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 0.8656	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 0.8114	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.9700	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 1.0148	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.9963	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 1.0098	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 0.8703	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 0.8982	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 0.9596	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 1.0190	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 0.8587	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.8641	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 0.9796	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 1.0651	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 0.8891	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.9755	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 0.9312	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 0.8513	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 1.0542	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 0.9852	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.8981	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9106, Train Accuracy: 0.7046
Epoch 14 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0042, Accuracy: 0.6697, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.8072	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.8119	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.9806	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.9161	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.9002	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.8214	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.7990	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.8115	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.8235	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.7968	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 0.7628	LR: 0.020000
Training Epoch: 15 [3072/46200]	Loss: 0.7450	LR: 0.020000
Training Epoch: 15 [3328/46200]	Loss: 0.6916	LR: 0.020000
Training Epoch: 15 [3584/46200]	Loss: 0.7250	LR: 0.020000
Training Epoch: 15 [3840/46200]	Loss: 0.7468	LR: 0.020000
Training Epoch: 15 [4096/46200]	Loss: 0.7763	LR: 0.020000
Training Epoch: 15 [4352/46200]	Loss: 0.6672	LR: 0.020000
Training Epoch: 15 [4608/46200]	Loss: 0.6969	LR: 0.020000
Training Epoch: 15 [4864/46200]	Loss: 0.8486	LR: 0.020000
Training Epoch: 15 [5120/46200]	Loss: 0.7358	LR: 0.020000
Training Epoch: 15 [5376/46200]	Loss: 0.6789	LR: 0.020000
Training Epoch: 15 [5632/46200]	Loss: 0.7644	LR: 0.020000
Training Epoch: 15 [5888/46200]	Loss: 0.7515	LR: 0.020000
Training Epoch: 15 [6144/46200]	Loss: 0.8771	LR: 0.020000
Training Epoch: 15 [6400/46200]	Loss: 0.8144	LR: 0.020000
Training Epoch: 15 [6656/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 15 [6912/46200]	Loss: 0.7166	LR: 0.020000
Training Epoch: 15 [7168/46200]	Loss: 0.7188	LR: 0.020000
Training Epoch: 15 [7424/46200]	Loss: 0.8180	LR: 0.020000
Training Epoch: 15 [7680/46200]	Loss: 0.7282	LR: 0.020000
Training Epoch: 15 [7936/46200]	Loss: 0.8154	LR: 0.020000
Training Epoch: 15 [8192/46200]	Loss: 0.9056	LR: 0.020000
Training Epoch: 15 [8448/46200]	Loss: 0.7509	LR: 0.020000
Training Epoch: 15 [8704/46200]	Loss: 0.7808	LR: 0.020000
Training Epoch: 15 [8960/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 15 [9216/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 15 [9472/46200]	Loss: 0.6095	LR: 0.020000
Training Epoch: 15 [9728/46200]	Loss: 0.6597	LR: 0.020000
Training Epoch: 15 [9984/46200]	Loss: 0.6522	LR: 0.020000
Training Epoch: 15 [10240/46200]	Loss: 0.6874	LR: 0.020000
Training Epoch: 15 [10496/46200]	Loss: 0.7692	LR: 0.020000
Training Epoch: 15 [10752/46200]	Loss: 0.6157	LR: 0.020000
Training Epoch: 15 [11008/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 15 [11264/46200]	Loss: 0.7323	LR: 0.020000
Training Epoch: 15 [11520/46200]	Loss: 0.6537	LR: 0.020000
Training Epoch: 15 [11776/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 15 [12032/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 15 [12288/46200]	Loss: 0.6924	LR: 0.020000
Training Epoch: 15 [12544/46200]	Loss: 0.6815	LR: 0.020000
Training Epoch: 15 [12800/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 15 [13056/46200]	Loss: 0.7317	LR: 0.020000
Training Epoch: 15 [13312/46200]	Loss: 0.6165	LR: 0.020000
Training Epoch: 15 [13568/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 15 [13824/46200]	Loss: 0.7345	LR: 0.020000
Training Epoch: 15 [14080/46200]	Loss: 0.7634	LR: 0.020000
Training Epoch: 15 [14336/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 15 [14592/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 15 [14848/46200]	Loss: 0.7023	LR: 0.020000
Training Epoch: 15 [15104/46200]	Loss: 0.8046	LR: 0.020000
Training Epoch: 15 [15360/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 15 [15616/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 15 [15872/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 15 [16128/46200]	Loss: 0.6988	LR: 0.020000
Training Epoch: 15 [16384/46200]	Loss: 0.7044	LR: 0.020000
Training Epoch: 15 [16640/46200]	Loss: 0.7878	LR: 0.020000
Training Epoch: 15 [16896/46200]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [17152/46200]	Loss: 0.7491	LR: 0.020000
Training Epoch: 15 [17408/46200]	Loss: 0.6939	LR: 0.020000
Training Epoch: 15 [17664/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 15 [17920/46200]	Loss: 0.7859	LR: 0.020000
Training Epoch: 15 [18176/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 15 [18432/46200]	Loss: 0.6503	LR: 0.020000
Training Epoch: 15 [18688/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 15 [18944/46200]	Loss: 0.6550	LR: 0.020000
Training Epoch: 15 [19200/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 15 [19456/46200]	Loss: 0.7226	LR: 0.020000
Training Epoch: 15 [19712/46200]	Loss: 0.6284	LR: 0.020000
Training Epoch: 15 [19968/46200]	Loss: 0.6857	LR: 0.020000
Training Epoch: 15 [20224/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 15 [20480/46200]	Loss: 0.6717	LR: 0.020000
Training Epoch: 15 [20736/46200]	Loss: 0.6183	LR: 0.020000
Training Epoch: 15 [20992/46200]	Loss: 0.6593	LR: 0.020000
Training Epoch: 15 [21248/46200]	Loss: 0.6484	LR: 0.020000
Training Epoch: 15 [21504/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 15 [21760/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 15 [22016/46200]	Loss: 0.7529	LR: 0.020000
Training Epoch: 15 [22272/46200]	Loss: 0.6979	LR: 0.020000
Training Epoch: 15 [22528/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 15 [22784/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 15 [23040/46200]	Loss: 0.6796	LR: 0.020000
Training Epoch: 15 [23296/46200]	Loss: 0.6514	LR: 0.020000
Training Epoch: 15 [23552/46200]	Loss: 0.6535	LR: 0.020000
Training Epoch: 15 [23808/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 15 [24064/46200]	Loss: 0.7669	LR: 0.020000
Training Epoch: 15 [24320/46200]	Loss: 0.6664	LR: 0.020000
Training Epoch: 15 [24576/46200]	Loss: 0.7297	LR: 0.020000
Training Epoch: 15 [24832/46200]	Loss: 0.6265	LR: 0.020000
Training Epoch: 15 [25088/46200]	Loss: 0.5801	LR: 0.020000
Training Epoch: 15 [25344/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 15 [25600/46200]	Loss: 0.6222	LR: 0.020000
Training Epoch: 15 [25856/46200]	Loss: 0.7201	LR: 0.020000
Training Epoch: 15 [26112/46200]	Loss: 0.7374	LR: 0.020000
Training Epoch: 15 [26368/46200]	Loss: 0.7133	LR: 0.020000
Training Epoch: 15 [26624/46200]	Loss: 0.5606	LR: 0.020000
Training Epoch: 15 [26880/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 15 [27136/46200]	Loss: 0.7386	LR: 0.020000
Training Epoch: 15 [27392/46200]	Loss: 0.6774	LR: 0.020000
Training Epoch: 15 [27648/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 15 [27904/46200]	Loss: 0.6082	LR: 0.020000
Training Epoch: 15 [28160/46200]	Loss: 0.6795	LR: 0.020000
Training Epoch: 15 [28416/46200]	Loss: 0.6457	LR: 0.020000
Training Epoch: 15 [28672/46200]	Loss: 0.6801	LR: 0.020000
Training Epoch: 15 [28928/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 15 [29184/46200]	Loss: 0.6758	LR: 0.020000
Training Epoch: 15 [29440/46200]	Loss: 0.7346	LR: 0.020000
Training Epoch: 15 [29696/46200]	Loss: 0.6463	LR: 0.020000
Training Epoch: 15 [29952/46200]	Loss: 0.7953	LR: 0.020000
Training Epoch: 15 [30208/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 15 [30464/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 15 [30720/46200]	Loss: 0.6567	LR: 0.020000
Training Epoch: 15 [30976/46200]	Loss: 0.8015	LR: 0.020000
Training Epoch: 15 [31232/46200]	Loss: 0.6632	LR: 0.020000
Training Epoch: 15 [31488/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 15 [31744/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 15 [32000/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 15 [32256/46200]	Loss: 0.7205	LR: 0.020000
Training Epoch: 15 [32512/46200]	Loss: 0.7990	LR: 0.020000
Training Epoch: 15 [32768/46200]	Loss: 0.6416	LR: 0.020000
Training Epoch: 15 [33024/46200]	Loss: 0.6900	LR: 0.020000
Training Epoch: 15 [33280/46200]	Loss: 0.5788	LR: 0.020000
Training Epoch: 15 [33536/46200]	Loss: 0.6026	LR: 0.020000
Training Epoch: 15 [33792/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 15 [34048/46200]	Loss: 0.7120	LR: 0.020000
Training Epoch: 15 [34304/46200]	Loss: 0.6085	LR: 0.020000
Training Epoch: 15 [34560/46200]	Loss: 0.6794	LR: 0.020000
Training Epoch: 15 [34816/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 15 [35072/46200]	Loss: 0.5667	LR: 0.020000
Training Epoch: 15 [35328/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 15 [35584/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 15 [35840/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 15 [36096/46200]	Loss: 0.5977	LR: 0.020000
Training Epoch: 15 [36352/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 15 [36608/46200]	Loss: 0.6475	LR: 0.020000
Training Epoch: 15 [36864/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 15 [37120/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 15 [37376/46200]	Loss: 0.7501	LR: 0.020000
Training Epoch: 15 [37632/46200]	Loss: 0.6437	LR: 0.020000
Training Epoch: 15 [37888/46200]	Loss: 0.6715	LR: 0.020000
Training Epoch: 15 [38144/46200]	Loss: 0.6914	LR: 0.020000
Training Epoch: 15 [38400/46200]	Loss: 0.7052	LR: 0.020000
Training Epoch: 15 [38656/46200]	Loss: 0.6884	LR: 0.020000
Training Epoch: 15 [38912/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 15 [39168/46200]	Loss: 0.6779	LR: 0.020000
Training Epoch: 15 [39424/46200]	Loss: 0.6688	LR: 0.020000
Training Epoch: 15 [39680/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 15 [39936/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 15 [40192/46200]	Loss: 0.7564	LR: 0.020000
Training Epoch: 15 [40448/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 15 [40704/46200]	Loss: 0.6583	LR: 0.020000
Training Epoch: 15 [40960/46200]	Loss: 0.6620	LR: 0.020000
Training Epoch: 15 [41216/46200]	Loss: 0.6592	LR: 0.020000
Training Epoch: 15 [41472/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 15 [41728/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 15 [41984/46200]	Loss: 0.6165	LR: 0.020000
Training Epoch: 15 [42240/46200]	Loss: 0.6614	LR: 0.020000
Training Epoch: 15 [42496/46200]	Loss: 0.7114	LR: 0.020000
Training Epoch: 15 [42752/46200]	Loss: 0.6569	LR: 0.020000
Training Epoch: 15 [43008/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 15 [43264/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 15 [43520/46200]	Loss: 0.7731	LR: 0.020000
Training Epoch: 15 [43776/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 15 [44032/46200]	Loss: 0.6795	LR: 0.020000
Training Epoch: 15 [44288/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 15 [44544/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 15 [44800/46200]	Loss: 0.6941	LR: 0.020000
Training Epoch: 15 [45056/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 15 [45312/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 15 [45568/46200]	Loss: 0.6548	LR: 0.020000
Training Epoch: 15 [45824/46200]	Loss: 0.7322	LR: 0.020000
Training Epoch: 15 [46080/46200]	Loss: 0.6382	LR: 0.020000
Training Epoch: 15 [46200/46200]	Loss: 0.7682	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6765, Train Accuracy: 0.7798
Epoch 15 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7624, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 16 [512/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 16 [768/46200]	Loss: 0.6030	LR: 0.020000
Training Epoch: 16 [1024/46200]	Loss: 0.6682	LR: 0.020000
Training Epoch: 16 [1280/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 16 [1536/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 16 [1792/46200]	Loss: 0.5777	LR: 0.020000
Training Epoch: 16 [2048/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 16 [2304/46200]	Loss: 0.6160	LR: 0.020000
Training Epoch: 16 [2560/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 16 [2816/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 16 [3072/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 16 [3328/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 16 [3584/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 16 [3840/46200]	Loss: 0.6302	LR: 0.020000
Training Epoch: 16 [4096/46200]	Loss: 0.6337	LR: 0.020000
Training Epoch: 16 [4352/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 16 [4608/46200]	Loss: 0.6053	LR: 0.020000
Training Epoch: 16 [4864/46200]	Loss: 0.6575	LR: 0.020000
Training Epoch: 16 [5120/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 16 [5376/46200]	Loss: 0.6473	LR: 0.020000
Training Epoch: 16 [5632/46200]	Loss: 0.6344	LR: 0.020000
Training Epoch: 16 [5888/46200]	Loss: 0.6333	LR: 0.020000
Training Epoch: 16 [6144/46200]	Loss: 0.5556	LR: 0.020000
Training Epoch: 16 [6400/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 16 [6656/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 16 [6912/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 16 [7168/46200]	Loss: 0.5850	LR: 0.020000
Training Epoch: 16 [7424/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 16 [7680/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 16 [7936/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 16 [8192/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 16 [8448/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 16 [8704/46200]	Loss: 0.6723	LR: 0.020000
Training Epoch: 16 [8960/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 16 [9216/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 16 [9472/46200]	Loss: 0.5938	LR: 0.020000
Training Epoch: 16 [9728/46200]	Loss: 0.6712	LR: 0.020000
Training Epoch: 16 [9984/46200]	Loss: 0.5762	LR: 0.020000
Training Epoch: 16 [10240/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 16 [10496/46200]	Loss: 0.5751	LR: 0.020000
Training Epoch: 16 [10752/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 16 [11008/46200]	Loss: 0.6724	LR: 0.020000
Training Epoch: 16 [11264/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 16 [11520/46200]	Loss: 0.6667	LR: 0.020000
Training Epoch: 16 [11776/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 16 [12032/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 16 [12288/46200]	Loss: 0.7160	LR: 0.020000
Training Epoch: 16 [12544/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 16 [12800/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 16 [13056/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 16 [13312/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 16 [13568/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 16 [13824/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 16 [14080/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 16 [14336/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 16 [14592/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 16 [14848/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 16 [15104/46200]	Loss: 0.6544	LR: 0.020000
Training Epoch: 16 [15360/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 16 [15616/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 16 [15872/46200]	Loss: 0.7134	LR: 0.020000
Training Epoch: 16 [16128/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 16 [16384/46200]	Loss: 0.6854	LR: 0.020000
Training Epoch: 16 [16640/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 16 [16896/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 16 [17152/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 16 [17408/46200]	Loss: 0.4342	LR: 0.020000
Training Epoch: 16 [17664/46200]	Loss: 0.5943	LR: 0.020000
Training Epoch: 16 [17920/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 16 [18176/46200]	Loss: 0.5776	LR: 0.020000
Training Epoch: 16 [18432/46200]	Loss: 0.5348	LR: 0.020000
Training Epoch: 16 [18688/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 16 [18944/46200]	Loss: 0.5831	LR: 0.020000
Training Epoch: 16 [19200/46200]	Loss: 0.5949	LR: 0.020000
Training Epoch: 16 [19456/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 16 [19712/46200]	Loss: 0.6356	LR: 0.020000
Training Epoch: 16 [19968/46200]	Loss: 0.4817	LR: 0.020000
Training Epoch: 16 [20224/46200]	Loss: 0.7232	LR: 0.020000
Training Epoch: 16 [20480/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 16 [20736/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 16 [20992/46200]	Loss: 0.6142	LR: 0.020000
Training Epoch: 16 [21248/46200]	Loss: 0.6765	LR: 0.020000
Training Epoch: 16 [21504/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 16 [21760/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 16 [22016/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 16 [22272/46200]	Loss: 0.6270	LR: 0.020000
Training Epoch: 16 [22528/46200]	Loss: 0.6251	LR: 0.020000
Training Epoch: 16 [22784/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 16 [23040/46200]	Loss: 0.6237	LR: 0.020000
Training Epoch: 16 [23296/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 16 [23552/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 16 [23808/46200]	Loss: 0.6384	LR: 0.020000
Training Epoch: 16 [24064/46200]	Loss: 0.6639	LR: 0.020000
Training Epoch: 16 [24320/46200]	Loss: 0.5829	LR: 0.020000
Training Epoch: 16 [24576/46200]	Loss: 0.7796	LR: 0.020000
Training Epoch: 16 [24832/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 16 [25088/46200]	Loss: 0.5623	LR: 0.020000
Training Epoch: 16 [25344/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 16 [25600/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 16 [25856/46200]	Loss: 0.7168	LR: 0.020000
Training Epoch: 16 [26112/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 16 [26368/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 16 [26624/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 16 [26880/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 16 [27136/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 16 [27392/46200]	Loss: 0.5856	LR: 0.020000
Training Epoch: 16 [27648/46200]	Loss: 0.6215	LR: 0.020000
Training Epoch: 16 [27904/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 16 [28160/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 16 [28416/46200]	Loss: 0.6937	LR: 0.020000
Training Epoch: 16 [28672/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 16 [28928/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 16 [29184/46200]	Loss: 0.6271	LR: 0.020000
Training Epoch: 16 [29440/46200]	Loss: 0.6661	LR: 0.020000
Training Epoch: 16 [29696/46200]	Loss: 0.5337	LR: 0.020000
Training Epoch: 16 [29952/46200]	Loss: 0.6840	LR: 0.020000
Training Epoch: 16 [30208/46200]	Loss: 0.5437	LR: 0.020000
Training Epoch: 16 [30464/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 16 [30720/46200]	Loss: 0.5857	LR: 0.020000
Training Epoch: 16 [30976/46200]	Loss: 0.7353	LR: 0.020000
Training Epoch: 16 [31232/46200]	Loss: 0.5210	LR: 0.020000
Training Epoch: 16 [31488/46200]	Loss: 0.7021	LR: 0.020000
Training Epoch: 16 [31744/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 16 [32000/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 16 [32256/46200]	Loss: 0.6822	LR: 0.020000
Training Epoch: 16 [32512/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 16 [32768/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 16 [33024/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 16 [33280/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 16 [33536/46200]	Loss: 0.7074	LR: 0.020000
Training Epoch: 16 [33792/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 16 [34048/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 16 [34304/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 16 [34560/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 16 [34816/46200]	Loss: 0.6769	LR: 0.020000
Training Epoch: 16 [35072/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 16 [35328/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 16 [35584/46200]	Loss: 0.6445	LR: 0.020000
Training Epoch: 16 [35840/46200]	Loss: 0.6143	LR: 0.020000
Training Epoch: 16 [36096/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 16 [36352/46200]	Loss: 0.6815	LR: 0.020000
Training Epoch: 16 [36608/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 16 [36864/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 16 [37120/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 16 [37376/46200]	Loss: 0.6061	LR: 0.020000
Training Epoch: 16 [37632/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 16 [37888/46200]	Loss: 0.6496	LR: 0.020000
Training Epoch: 16 [38144/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 16 [38400/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 16 [38656/46200]	Loss: 0.7125	LR: 0.020000
Training Epoch: 16 [38912/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 16 [39168/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 16 [39424/46200]	Loss: 0.6229	LR: 0.020000
Training Epoch: 16 [39680/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 16 [39936/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 16 [40192/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 16 [40448/46200]	Loss: 0.6285	LR: 0.020000
Training Epoch: 16 [40704/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 16 [40960/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 16 [41216/46200]	Loss: 0.5755	LR: 0.020000
Training Epoch: 16 [41472/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 16 [41728/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 16 [41984/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 16 [42240/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 16 [42496/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 16 [42752/46200]	Loss: 0.7575	LR: 0.020000
Training Epoch: 16 [43008/46200]	Loss: 0.6053	LR: 0.020000
Training Epoch: 16 [43264/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 16 [43520/46200]	Loss: 0.6490	LR: 0.020000
Training Epoch: 16 [43776/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 16 [44032/46200]	Loss: 0.6643	LR: 0.020000
Training Epoch: 16 [44288/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 16 [44544/46200]	Loss: 0.6656	LR: 0.020000
Training Epoch: 16 [44800/46200]	Loss: 0.4988	LR: 0.020000
Training Epoch: 16 [45056/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 16 [45312/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 16 [45568/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 16 [45824/46200]	Loss: 0.4925	LR: 0.020000
Training Epoch: 16 [46080/46200]	Loss: 0.4782	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.5316	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5925, Train Accuracy: 0.8065
Epoch 16 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7617, Time consumed:0.91s
Training Epoch: 17 [256/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 17 [512/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 17 [768/46200]	Loss: 0.5584	LR: 0.020000
Training Epoch: 17 [1024/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 17 [1280/46200]	Loss: 0.6220	LR: 0.020000
Training Epoch: 17 [1536/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 17 [1792/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 17 [2048/46200]	Loss: 0.6616	LR: 0.020000
Training Epoch: 17 [2304/46200]	Loss: 0.6253	LR: 0.020000
Training Epoch: 17 [2560/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 17 [2816/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 17 [3072/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 17 [3328/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 17 [3584/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 17 [3840/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 17 [4096/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 17 [4352/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 17 [4608/46200]	Loss: 0.5236	LR: 0.020000
Training Epoch: 17 [4864/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 17 [5120/46200]	Loss: 0.4721	LR: 0.020000
Training Epoch: 17 [5376/46200]	Loss: 0.6528	LR: 0.020000
Training Epoch: 17 [5632/46200]	Loss: 0.6157	LR: 0.020000
Training Epoch: 17 [5888/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 17 [6144/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 17 [6400/46200]	Loss: 0.5990	LR: 0.020000
Training Epoch: 17 [6656/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 17 [6912/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 17 [7168/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 17 [7424/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 17 [7680/46200]	Loss: 0.5856	LR: 0.020000
Training Epoch: 17 [7936/46200]	Loss: 0.6442	LR: 0.020000
Training Epoch: 17 [8192/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 17 [8448/46200]	Loss: 0.5270	LR: 0.020000
Training Epoch: 17 [8704/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 17 [8960/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 17 [9216/46200]	Loss: 0.6051	LR: 0.020000
Training Epoch: 17 [9472/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 17 [9728/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 17 [9984/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 17 [10240/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 17 [10496/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 17 [10752/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 17 [11008/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 17 [11264/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 17 [11520/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 17 [11776/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 17 [12032/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 17 [12288/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 17 [12544/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 17 [12800/46200]	Loss: 0.6210	LR: 0.020000
Training Epoch: 17 [13056/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 17 [13312/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 17 [13568/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 17 [13824/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 17 [14080/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 17 [14336/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 17 [14592/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 17 [14848/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 17 [15104/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 17 [15360/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 17 [15616/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 17 [15872/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 17 [16128/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 17 [16384/46200]	Loss: 0.6013	LR: 0.020000
Training Epoch: 17 [16640/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 17 [16896/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 17 [17152/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 17 [17408/46200]	Loss: 0.6210	LR: 0.020000
Training Epoch: 17 [17664/46200]	Loss: 0.5780	LR: 0.020000
Training Epoch: 17 [17920/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 17 [18176/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 17 [18432/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 17 [18688/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 17 [18944/46200]	Loss: 0.5573	LR: 0.020000
Training Epoch: 17 [19200/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 17 [19456/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 17 [19712/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 17 [19968/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 17 [20224/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 17 [20480/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 17 [20736/46200]	Loss: 0.6716	LR: 0.020000
Training Epoch: 17 [20992/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 17 [21248/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 17 [21504/46200]	Loss: 0.5874	LR: 0.020000
Training Epoch: 17 [21760/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 17 [22016/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 17 [22272/46200]	Loss: 0.5270	LR: 0.020000
Training Epoch: 17 [22528/46200]	Loss: 0.4727	LR: 0.020000
Training Epoch: 17 [22784/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 17 [23040/46200]	Loss: 0.6714	LR: 0.020000
Training Epoch: 17 [23296/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 17 [23552/46200]	Loss: 0.6680	LR: 0.020000
Training Epoch: 17 [23808/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 17 [24064/46200]	Loss: 0.5374	LR: 0.020000
Training Epoch: 17 [24320/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 17 [24576/46200]	Loss: 0.6789	LR: 0.020000
Training Epoch: 17 [24832/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 17 [25088/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 17 [25344/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 17 [25600/46200]	Loss: 0.6326	LR: 0.020000
Training Epoch: 17 [25856/46200]	Loss: 0.5269	LR: 0.020000
Training Epoch: 17 [26112/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 17 [26368/46200]	Loss: 0.6274	LR: 0.020000
Training Epoch: 17 [26624/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 17 [26880/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 17 [27136/46200]	Loss: 0.6663	LR: 0.020000
Training Epoch: 17 [27392/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 17 [27648/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 17 [27904/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 17 [28160/46200]	Loss: 0.4875	LR: 0.020000
Training Epoch: 17 [28416/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 17 [28672/46200]	Loss: 0.6602	LR: 0.020000
Training Epoch: 17 [28928/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 17 [29184/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 17 [29440/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 17 [29696/46200]	Loss: 0.6268	LR: 0.020000
Training Epoch: 17 [29952/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 17 [30208/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 17 [30464/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 17 [30720/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 17 [30976/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 17 [31232/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 17 [31488/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 17 [31744/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 17 [32000/46200]	Loss: 0.5040	LR: 0.020000
Training Epoch: 17 [32256/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 17 [32512/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 17 [32768/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 17 [33024/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 17 [33280/46200]	Loss: 0.6464	LR: 0.020000
Training Epoch: 17 [33536/46200]	Loss: 0.6267	LR: 0.020000
Training Epoch: 17 [33792/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 17 [34048/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 17 [34304/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 17 [34560/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 17 [34816/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 17 [35072/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 17 [35328/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 17 [35584/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 17 [35840/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 17 [36096/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 17 [36352/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 17 [36608/46200]	Loss: 0.5060	LR: 0.020000
Training Epoch: 17 [36864/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 17 [37120/46200]	Loss: 0.5904	LR: 0.020000
Training Epoch: 17 [37376/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 17 [37632/46200]	Loss: 0.4635	LR: 0.020000
Training Epoch: 17 [37888/46200]	Loss: 0.6785	LR: 0.020000
Training Epoch: 17 [38144/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 17 [38400/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 17 [38656/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 17 [38912/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 17 [39168/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 17 [39424/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 17 [39680/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 17 [39936/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 17 [40192/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 17 [40448/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 17 [40704/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 17 [40960/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 17 [41216/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 17 [41472/46200]	Loss: 0.6100	LR: 0.020000
Training Epoch: 17 [41728/46200]	Loss: 0.5861	LR: 0.020000
Training Epoch: 17 [41984/46200]	Loss: 0.5498	LR: 0.020000
Training Epoch: 17 [42240/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 17 [42496/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 17 [42752/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 17 [43008/46200]	Loss: 0.6745	LR: 0.020000
Training Epoch: 17 [43264/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 17 [43520/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 17 [43776/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 17 [44032/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 17 [44288/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 17 [44544/46200]	Loss: 0.4576	LR: 0.020000
Training Epoch: 17 [44800/46200]	Loss: 0.6374	LR: 0.020000
Training Epoch: 17 [45056/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 17 [45312/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 17 [45568/46200]	Loss: 0.5629	LR: 0.020000
Training Epoch: 17 [45824/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 17 [46080/46200]	Loss: 0.7557	LR: 0.020000
Training Epoch: 17 [46200/46200]	Loss: 0.7540	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5515, Train Accuracy: 0.8195
Epoch 17 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7653, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 18 [512/46200]	Loss: 0.4927	LR: 0.020000
Training Epoch: 18 [768/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 18 [1024/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 18 [1280/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 18 [1536/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 18 [1792/46200]	Loss: 0.5245	LR: 0.020000
Training Epoch: 18 [2048/46200]	Loss: 0.5398	LR: 0.020000
Training Epoch: 18 [2304/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 18 [2560/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 18 [2816/46200]	Loss: 0.4102	LR: 0.020000
Training Epoch: 18 [3072/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 18 [3328/46200]	Loss: 0.4558	LR: 0.020000
Training Epoch: 18 [3584/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 18 [3840/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 18 [4096/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 18 [4352/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 18 [4608/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 18 [4864/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 18 [5120/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 18 [5376/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 18 [5632/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 18 [5888/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 18 [6144/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 18 [6400/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 18 [6656/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 18 [6912/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 18 [7168/46200]	Loss: 0.4475	LR: 0.020000
Training Epoch: 18 [7424/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 18 [7680/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 18 [7936/46200]	Loss: 0.5252	LR: 0.020000
Training Epoch: 18 [8192/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 18 [8448/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 18 [8704/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 18 [8960/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 18 [9216/46200]	Loss: 0.5952	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.4759	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.6369	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.4903	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.6117	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.4480	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5471	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.5771	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.6102	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.6303	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.4289	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.4977	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.5759	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.7039	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.5634	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.4299	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.5164	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.4699	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.4268	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.6295	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.6500	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.6651	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.5126	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.6020	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.4755	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.4908	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.6459	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.4563	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6343	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5201	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.7083	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.5582	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.4449	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.4243	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.6130	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.6993	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.3841	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5245, Train Accuracy: 0.8287
Epoch 18 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7638, Time consumed:0.90s
Training Epoch: 19 [256/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.4607	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.5307	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.4659	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.4567	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.4047	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.3808	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5383	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.4816	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.4877	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.5006	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.4608	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.4094	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.6388	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.3924	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.4822	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.4410	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.4636	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.5065	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6666	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.5027	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.4521	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.6204	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.4638	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.4463	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.4875	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.4811	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.5215	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.6006	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.6007	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.4504	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.4592	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.6630	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.5222	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4976, Train Accuracy: 0.8376
Epoch 19 training time consumed: 28.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7669, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.4381	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.4633	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.5017	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.4465	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.4262	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.4221	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.5077	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.4565	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.4258	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.4779	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.5803	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.4492	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.4497	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.4508	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.4779	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.4003	LR: 0.020000
Training Epoch: 20 [14592/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 20 [14848/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 20 [15104/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 20 [17664/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 20 [17920/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 20 [18176/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 20 [18432/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.4560	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 20 [20992/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 20 [21248/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 20 [21504/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 20 [21760/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.5000	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 20 [23552/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 20 [23808/46200]	Loss: 0.5353	LR: 0.020000
Training Epoch: 20 [24064/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 20 [24320/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 20 [24576/46200]	Loss: 0.4689	LR: 0.020000
Training Epoch: 20 [24832/46200]	Loss: 0.5277	LR: 0.020000
Training Epoch: 20 [25088/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 20 [25344/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 20 [25600/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 20 [25856/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 20 [26112/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 20 [26368/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 20 [26624/46200]	Loss: 0.4663	LR: 0.020000
Training Epoch: 20 [26880/46200]	Loss: 0.5318	LR: 0.020000
Training Epoch: 20 [27136/46200]	Loss: 0.4511	LR: 0.020000
Training Epoch: 20 [27392/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 20 [27648/46200]	Loss: 0.4961	LR: 0.020000
Training Epoch: 20 [27904/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.3830	LR: 0.020000
Training Epoch: 20 [29696/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 20 [29952/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 20 [30208/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 20 [30464/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 20 [30720/46200]	Loss: 0.4552	LR: 0.020000
Training Epoch: 20 [30976/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 20 [31232/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 20 [31488/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 20 [31744/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 20 [32000/46200]	Loss: 0.4595	LR: 0.020000
Training Epoch: 20 [32256/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 20 [32512/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 20 [32768/46200]	Loss: 0.4519	LR: 0.020000
Training Epoch: 20 [33024/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 20 [33280/46200]	Loss: 0.4236	LR: 0.020000
Training Epoch: 20 [33536/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 20 [33792/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 20 [34048/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 20 [34304/46200]	Loss: 0.4181	LR: 0.020000
Training Epoch: 20 [34560/46200]	Loss: 0.5399	LR: 0.020000
Training Epoch: 20 [34816/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [35072/46200]	Loss: 0.6271	LR: 0.020000
Training Epoch: 20 [35328/46200]	Loss: 0.4547	LR: 0.020000
Training Epoch: 20 [35584/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 20 [35840/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 20 [36096/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 20 [36352/46200]	Loss: 0.4653	LR: 0.020000
Training Epoch: 20 [36608/46200]	Loss: 0.4117	LR: 0.020000
Training Epoch: 20 [36864/46200]	Loss: 0.3832	LR: 0.020000
Training Epoch: 20 [37120/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 20 [37376/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.5154	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.3921	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.4058	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.5024	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.4802	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.4835	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.5041	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.5310	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.4174	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4767, Train Accuracy: 0.8405
Epoch 20 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7677, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.4623	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.4352	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.4554	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.5243	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.4809	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.3748	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.3582	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.4150	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.4423	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.3978	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.4273	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.3847	LR: 0.020000
Training Epoch: 21 [9728/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 21 [9984/46200]	Loss: 0.4365	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.4580	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.4333	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.4390	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.4876	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.4786	LR: 0.020000
Training Epoch: 21 [12544/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 21 [12800/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 21 [13056/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.4455	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.3483	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.3174	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.3869	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4447	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.5028	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4995	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4546	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5217	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4458	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4189	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5169	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.3805	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4072	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.3711	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.4298	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4505	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4447	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4488	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.5119	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.3815	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.4882	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.4514	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.4447	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4916	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.3793	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4695	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5131	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.4736	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4436	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.5394	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.4355	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.5975	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5761	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4576, Train Accuracy: 0.8494
Epoch 21 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0030, Accuracy: 0.7693, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-21-best.pth
Training Epoch: 22 [256/46200]	Loss: 0.4283	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.3875	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.4278	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.4996	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.4072	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4057	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.4360	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.2961	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.4695	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.4238	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.4399	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.4441	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.5021	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.4819	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.3695	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.2985	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.4884	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.3712	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.3613	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.4812	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4423	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.3489	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4506	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.4795	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.5372	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.4466	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4467	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4055	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.4547	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.5179	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.4639	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.3952	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4414	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.4703	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.4194	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.5019	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.4698	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5123	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.5243	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.4769	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.5084	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.4393	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4421	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 22 [41728/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 22 [41984/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 22 [42240/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 22 [42496/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 22 [42752/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 22 [43008/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.4208	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4921	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4763	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.4734	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.4156	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4440, Train Accuracy: 0.8530
Epoch 22 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7656, Time consumed:0.89s
Training Epoch: 23 [256/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.2718	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.3503	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4316	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.3953	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.4664	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.3254	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.4453	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.4103	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.4288	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.4068	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.4607	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3751	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.3868	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4339	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.3705	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.4422	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.3737	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.4371	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.4295	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.4017	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.3388	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4170	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.4487	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3871	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4049	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4318	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.3945	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.4600	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.3995	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.3508	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.4346	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.3723	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 23 [25088/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 23 [25344/46200]	Loss: 0.3905	LR: 0.020000
Training Epoch: 23 [25600/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 23 [25856/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 23 [26112/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 23 [26368/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 23 [26624/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 23 [26880/46200]	Loss: 0.3731	LR: 0.020000
Training Epoch: 23 [27136/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 23 [27648/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.3438	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.4446	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.4517	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 23 [29952/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 23 [30208/46200]	Loss: 0.4142	LR: 0.020000
Training Epoch: 23 [30464/46200]	Loss: 0.3436	LR: 0.020000
Training Epoch: 23 [30720/46200]	Loss: 0.4217	LR: 0.020000
Training Epoch: 23 [30976/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 23 [31488/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 23 [31744/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 23 [32000/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 23 [32256/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 23 [32512/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 23 [32768/46200]	Loss: 0.4964	LR: 0.020000
Training Epoch: 23 [33024/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 23 [33280/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 23 [33536/46200]	Loss: 0.3848	LR: 0.020000
Training Epoch: 23 [33792/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 23 [34048/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 23 [34304/46200]	Loss: 0.3710	LR: 0.020000
Training Epoch: 23 [34560/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 23 [34816/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [35072/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.4575	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 23 [35840/46200]	Loss: 0.4998	LR: 0.020000
Training Epoch: 23 [36096/46200]	Loss: 0.3563	LR: 0.020000
Training Epoch: 23 [36352/46200]	Loss: 0.3978	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.4167	LR: 0.020000
Training Epoch: 23 [36864/46200]	Loss: 0.4572	LR: 0.020000
Training Epoch: 23 [37120/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 23 [37376/46200]	Loss: 0.4793	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 23 [38912/46200]	Loss: 0.5197	LR: 0.020000
Training Epoch: 23 [39168/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.4695	LR: 0.020000
Training Epoch: 23 [39680/46200]	Loss: 0.4969	LR: 0.020000
Training Epoch: 23 [39936/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.3507	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.4437	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4691	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.4606	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4241	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.4914	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.4543	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4889	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4223, Train Accuracy: 0.8602
Epoch 23 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7622, Time consumed:0.87s
Training Epoch: 24 [256/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.3230	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3714	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3900	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.4373	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5371	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.2731	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.3739	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.3077	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.3598	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.3519	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.3720	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.4087	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [12800/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 24 [13056/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 24 [13824/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 24 [14080/46200]	Loss: 0.4109	LR: 0.020000
Training Epoch: 24 [14336/46200]	Loss: 0.4136	LR: 0.020000
Training Epoch: 24 [14592/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 24 [14848/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 24 [15104/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 24 [15360/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.4670	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.3943	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4142	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.4080	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.3094	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.3859	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4041	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.4448	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 24 [21248/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 24 [21504/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.3359	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.4741	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.3654	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.3255	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.4306	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 24 [26112/46200]	Loss: 0.3107	LR: 0.020000
Training Epoch: 24 [26368/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.4445	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.3079	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.4813	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.3915	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.3811	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5069	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.4036	LR: 0.020000
Training Epoch: 24 [32768/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 24 [33024/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 24 [33280/46200]	Loss: 0.3991	LR: 0.020000
Training Epoch: 24 [33536/46200]	Loss: 0.4579	LR: 0.020000
Training Epoch: 24 [33792/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 24 [34048/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 24 [34304/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 24 [34560/46200]	Loss: 0.4868	LR: 0.020000
Training Epoch: 24 [34816/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [35072/46200]	Loss: 0.3617	LR: 0.020000
Training Epoch: 24 [35328/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 24 [35584/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 24 [35840/46200]	Loss: 0.4454	LR: 0.020000
Training Epoch: 24 [36096/46200]	Loss: 0.3164	LR: 0.020000
Training Epoch: 24 [36352/46200]	Loss: 0.3567	LR: 0.020000
Training Epoch: 24 [36608/46200]	Loss: 0.3585	LR: 0.020000
Training Epoch: 24 [36864/46200]	Loss: 0.3845	LR: 0.020000
Training Epoch: 24 [37120/46200]	Loss: 0.3141	LR: 0.020000
Training Epoch: 24 [37376/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 24 [37888/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 24 [38144/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.3950	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.4154	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.3807	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.4458	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.4383	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.3844	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.4256	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.3718	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.4315	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.5071	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.4041	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.3922	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.3558	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.4528	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.3879	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.2975	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4074, Train Accuracy: 0.8633
Epoch 24 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0032, Accuracy: 0.7663, Time consumed:0.88s
Training Epoch: 25 [256/46200]	Loss: 0.2949	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.4552	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.3343	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.3186	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.4223	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.2809	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3471	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.3217	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.2802	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.4056	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.3256	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.4034	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.4530	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.3897	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.4250	LR: 0.020000
Training Epoch: 25 [10496/46200]	Loss: 0.3227	LR: 0.020000
Training Epoch: 25 [10752/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.3241	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.4034	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.4475	LR: 0.020000
Training Epoch: 25 [12800/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 25 [13056/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 25 [13312/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 25 [13568/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 25 [13824/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 25 [14080/46200]	Loss: 0.3884	LR: 0.020000
Training Epoch: 25 [14336/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 25 [14592/46200]	Loss: 0.4081	LR: 0.020000
Training Epoch: 25 [14848/46200]	Loss: 0.4800	LR: 0.020000
Training Epoch: 25 [15104/46200]	Loss: 0.3926	LR: 0.020000
Training Epoch: 25 [15360/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 25 [15616/46200]	Loss: 0.4271	LR: 0.020000
Training Epoch: 25 [15872/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 25 [16128/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 25 [16384/46200]	Loss: 0.3575	LR: 0.020000
Training Epoch: 25 [16640/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 25 [16896/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 25 [17152/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 25 [17408/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 25 [17664/46200]	Loss: 0.3449	LR: 0.020000
Training Epoch: 25 [17920/46200]	Loss: 0.3031	LR: 0.020000
Training Epoch: 25 [18176/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 25 [18432/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 25 [18688/46200]	Loss: 0.4024	LR: 0.020000
Training Epoch: 25 [18944/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.4337	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 25 [19712/46200]	Loss: 0.3701	LR: 0.020000
Training Epoch: 25 [19968/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 25 [20224/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 25 [20480/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 25 [20736/46200]	Loss: 0.4151	LR: 0.020000
Training Epoch: 25 [20992/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 25 [21248/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 25 [21504/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 25 [21760/46200]	Loss: 0.3713	LR: 0.020000
Training Epoch: 25 [22016/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 25 [22272/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 25 [22528/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 25 [22784/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 25 [23040/46200]	Loss: 0.3260	LR: 0.020000
Training Epoch: 25 [23296/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 25 [23552/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 25 [23808/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 25 [24064/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 25 [24320/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 25 [24576/46200]	Loss: 0.2785	LR: 0.020000
Training Epoch: 25 [24832/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 25 [25088/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 25 [25344/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 25 [25600/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 25 [25856/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 25 [26112/46200]	Loss: 0.5047	LR: 0.020000
Training Epoch: 25 [26368/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 25 [26624/46200]	Loss: 0.3137	LR: 0.020000
Training Epoch: 25 [26880/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 25 [27136/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 25 [27392/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.4134	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.2944	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.4072	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.3556	LR: 0.020000
Training Epoch: 25 [30208/46200]	Loss: 0.3818	LR: 0.020000
Training Epoch: 25 [30464/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 25 [30720/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 25 [30976/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 25 [31232/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 25 [31488/46200]	Loss: 0.4183	LR: 0.020000
Training Epoch: 25 [31744/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 25 [32000/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 25 [32256/46200]	Loss: 0.4514	LR: 0.020000
Training Epoch: 25 [32512/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 25 [32768/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 25 [33024/46200]	Loss: 0.4511	LR: 0.020000
Training Epoch: 25 [33280/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 25 [33536/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 25 [33792/46200]	Loss: 0.2961	LR: 0.020000
Training Epoch: 25 [34048/46200]	Loss: 0.4433	LR: 0.020000
Training Epoch: 25 [34304/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 25 [34560/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 25 [34816/46200]	Loss: 0.3454	LR: 0.020000
Training Epoch: 25 [35072/46200]	Loss: 0.4407	LR: 0.020000
Training Epoch: 25 [35328/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 25 [35584/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 25 [35840/46200]	Loss: 0.4339	LR: 0.020000
Training Epoch: 25 [36096/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 25 [36352/46200]	Loss: 0.4231	LR: 0.020000
Training Epoch: 25 [36608/46200]	Loss: 0.4720	LR: 0.020000
Training Epoch: 25 [36864/46200]	Loss: 0.3929	LR: 0.020000
Training Epoch: 25 [37120/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 25 [37376/46200]	Loss: 0.4592	LR: 0.020000
Training Epoch: 25 [37632/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 25 [37888/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [38144/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 25 [38400/46200]	Loss: 0.3612	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.4991	LR: 0.020000
Training Epoch: 25 [38912/46200]	Loss: 0.3757	LR: 0.020000
Training Epoch: 25 [39168/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 25 [39424/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 25 [39680/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 25 [39936/46200]	Loss: 0.4525	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.3243	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.3627	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.4046	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.3265	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.4449	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.3888	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.3159	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.4521	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.3811	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.4035	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3935, Train Accuracy: 0.8677
Epoch 25 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0033, Accuracy: 0.7610, Time consumed:0.95s
Training Epoch: 26 [256/46200]	Loss: 0.3198	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.2309	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3097	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3791	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3477	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3093	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.2741	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 26 [4864/46200]	Loss: 0.4162	LR: 0.020000
Training Epoch: 26 [5120/46200]	Loss: 0.3552	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 26 [5632/46200]	Loss: 0.3635	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.3670	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.3628	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [6912/46200]	Loss: 0.3348	LR: 0.020000
Training Epoch: 26 [7168/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.3153	LR: 0.020000
Training Epoch: 26 [7680/46200]	Loss: 0.3036	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.3890	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3201	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.3427	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3073	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.2532	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.2921	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.3098	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.2962	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4063	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.3586	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.3034	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3975	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3096	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4318	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.2715	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.4088	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.3566	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4152	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.4104	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.4417	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.4419	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3856	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.3775	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.4320	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.4126	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3149	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3389	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.3827	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3156	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.3398	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3470	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.3634	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3154	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3674	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.4790	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.3880	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.3911	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4032	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.3778	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.4247	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3837	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3306	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.3480	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3729	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.2967	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.3611	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4203	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3637	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.3065	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.3493	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.3116	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.3446	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.3944	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.2686	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.3852	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.2380	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4586	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4487	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3191	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3787	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.4499	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.4404	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.3616	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.3796	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.3523	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4086	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.3170	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4292	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.4825	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.4064	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4254	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.3538	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.4014	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.3932	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3777, Train Accuracy: 0.8737
Epoch 26 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7603, Time consumed:0.87s
Training Epoch: 27 [256/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.2816	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.3016	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3183	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.3730	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3609	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3137	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.4401	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3881	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.4049	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.3193	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.4007	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3214	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.4095	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.2903	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3593	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3215	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.3398	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.3556	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3521	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.2690	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3021	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.2996	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.2935	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.4319	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.4002	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3505	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.2697	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.2902	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3416	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3356	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.2805	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.2840	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3375	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3918	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.3831	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.2827	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.3311	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4010	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3333	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.2836	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.3331	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.3648	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.4597	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3418	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.3598	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3405	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.4069	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3361	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3706	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3123	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.3390	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3853	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3690	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3295	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3783	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3541	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.3122	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3286	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3442	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.4360	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.3680	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4235	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.3115	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.4121	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.3755	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.3425	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.3605	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.3390	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.4325	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.3653	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.3226	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.2814	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.3201	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.4603	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.3444	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.4894	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.4718	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.3669	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.2829	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.4106	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.3668	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.4317	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.4371	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.4274	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.3439	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.4414	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3710, Train Accuracy: 0.8737
Epoch 27 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0035, Accuracy: 0.7489, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.3130	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.3271	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.3069	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.3532	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.3344	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.3780	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.2797	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.3426	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.3199	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.2558	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.3367	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.3535	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.4005	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.3091	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.2627	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.3202	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.3187	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.2955	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.3266	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.2628	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.3817	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.2330	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.3443	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.2945	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.2974	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.3022	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.3689	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.3182	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.3243	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.2696	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.2994	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.3016	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.2780	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.4135	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.2645	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.3624	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.4337	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.3194	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.4293	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.3369	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.2936	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.3456	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.3374	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.2967	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4117	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.4395	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.2874	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.3401	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.3347	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.2727	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.4259	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.3741	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.3488	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 28 [24320/46200]	Loss: 0.3891	LR: 0.020000
Training Epoch: 28 [24576/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [24832/46200]	Loss: 0.3175	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.3833	LR: 0.020000
Training Epoch: 28 [25344/46200]	Loss: 0.3384	LR: 0.020000
Training Epoch: 28 [25600/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 28 [25856/46200]	Loss: 0.4003	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.2702	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.2880	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.4115	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.4056	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.3621	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.3099	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.4200	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.3983	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.3308	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.3169	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.4308	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.3382	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.3150	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.4155	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.3894	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.3699	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.3914	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.2488	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.3963	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.3407	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.3715	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.3142	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3057	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.3346	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.3646	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.3329	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.4484	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.3139	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.4102	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.3640	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.3313	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.3597	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.3068	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.3208	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.3647	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.3760	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.3582	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.3700	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.4026	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.3572	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.3606	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.4242	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.3801	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.3210	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.4171	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.3111	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.3828	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.4112	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.4251	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.3932	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.3479	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3525, Train Accuracy: 0.8824
Epoch 28 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0033, Accuracy: 0.7678, Time consumed:0.94s
Training Epoch: 29 [256/46200]	Loss: 0.4172	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2647	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.2347	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.2906	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3189	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.4042	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.3472	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.3132	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.3289	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.2807	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.3092	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.3278	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.3620	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.4300	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.3451	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.2826	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.2769	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.3218	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.2784	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.3802	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.2983	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.4050	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.2012	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.2812	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.3285	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.3476	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.2821	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.3346	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.2819	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.2855	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.2982	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.2926	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.2362	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.3168	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3345	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.3394	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.3499	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.2343	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3288	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.2369	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3039	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.3172	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3258	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.2549	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3722	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.2724	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.3930	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.2947	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.2797	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4366	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3124	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3322	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3224	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3994	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.2752	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3927	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.4669	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.2923	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3458	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3056	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.2939	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3366	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3082	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.3834	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.3199	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.4037	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.2743	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3118	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.2458	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.2840	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3055	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.3381	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.4895	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.3664	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.3180	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.3740	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3626	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.2842	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3184	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.3095	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3676	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.4344	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3237	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3024	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3675	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3001	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3803	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3795	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.3176	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.3240	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3274	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.2943	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3465	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.3962	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3415	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3254	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.3469	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.3512	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.4083	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4119	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3779	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3348	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3958	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.2843	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3578	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.2950	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3858	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.3392	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3800	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.4827	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.3386	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.3259	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.2836	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.2921	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.4001	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3882	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3228	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.3054	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.3014	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.3411	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.2938	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.2499	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3465, Train Accuracy: 0.8842
Epoch 29 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7658, Time consumed:0.91s
Training Epoch: 30 [256/46200]	Loss: 0.3454	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3088	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4332	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3170	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.2802	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.2949	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2871	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.2578	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2836	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3431	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2630	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.3598	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2036	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2269	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2928	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2624	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.3143	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2641	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.1984	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.2337	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2430	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.2366	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.2388	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.2131	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2931	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.1750	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.3258	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2554	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2431	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2915	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2111	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.1881	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2614	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2481	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.2381	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2086	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2594	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2398	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.2130	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2688	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2447	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3054	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2083	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.1929	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2180	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2242	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2408	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2322	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2550	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2682	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.1795	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2647	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2125	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2634	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.1787	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2331	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2378	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.2319	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.1779	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2552	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.1592	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.2020	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3019	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.2804	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1978	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2454	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2236	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3172	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.1786	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.1908	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.2531	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.1950	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.1773	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.2666	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.2031	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.1928	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.1949	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2138	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2652	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2226	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2445	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.1973	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.2549	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.2426	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.2344	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.2586	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2388	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2272	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2108	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2377	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.2105	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.2123	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.1752	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2356	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2127	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.2111	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1755	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2670	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.1932	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.1575	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.2020	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.1959	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.2263	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2287	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.2285	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.1926	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2128	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2728	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.2573	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3274	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.1515	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1727	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.1844	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.1926	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2422	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.2069	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.2326	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.1919	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2655	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2071	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.1759	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2251	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2455	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.1946	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.2580	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.2655	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2030	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.1875	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.2664	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2237	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.2067	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2516	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1796	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.2896	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2118	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.1956	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2566	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.2103	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.2068	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.1687	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.2235	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.1731	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.2006	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.2304	LR: 0.004000
Training Epoch: 30 [39936/46200]	Loss: 0.1736	LR: 0.004000
Training Epoch: 30 [40192/46200]	Loss: 0.2147	LR: 0.004000
Training Epoch: 30 [40448/46200]	Loss: 0.1994	LR: 0.004000
Training Epoch: 30 [40704/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 30 [40960/46200]	Loss: 0.2025	LR: 0.004000
Training Epoch: 30 [41216/46200]	Loss: 0.2157	LR: 0.004000
Training Epoch: 30 [41472/46200]	Loss: 0.1886	LR: 0.004000
Training Epoch: 30 [41728/46200]	Loss: 0.3264	LR: 0.004000
Training Epoch: 30 [41984/46200]	Loss: 0.1998	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.1548	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.2119	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.2491	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.2965	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.2199	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.1843	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.1628	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.1960	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.2244	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1970	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2371	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2147	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.2109	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.1857	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1816	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2291, Train Accuracy: 0.9274
Epoch 30 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.7979, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.2182	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.1784	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.1840	LR: 0.004000
Training Epoch: 31 [1280/46200]	Loss: 0.2065	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.1828	LR: 0.004000
Training Epoch: 31 [1792/46200]	Loss: 0.1763	LR: 0.004000
Training Epoch: 31 [2048/46200]	Loss: 0.1763	LR: 0.004000
Training Epoch: 31 [2304/46200]	Loss: 0.1527	LR: 0.004000
Training Epoch: 31 [2560/46200]	Loss: 0.1939	LR: 0.004000
Training Epoch: 31 [2816/46200]	Loss: 0.1473	LR: 0.004000
Training Epoch: 31 [3072/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 31 [3328/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 31 [3584/46200]	Loss: 0.2022	LR: 0.004000
Training Epoch: 31 [3840/46200]	Loss: 0.1986	LR: 0.004000
Training Epoch: 31 [4096/46200]	Loss: 0.2196	LR: 0.004000
Training Epoch: 31 [4352/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 31 [4608/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 31 [4864/46200]	Loss: 0.1879	LR: 0.004000
Training Epoch: 31 [5120/46200]	Loss: 0.1651	LR: 0.004000
Training Epoch: 31 [5376/46200]	Loss: 0.1928	LR: 0.004000
Training Epoch: 31 [5632/46200]	Loss: 0.2259	LR: 0.004000
Training Epoch: 31 [5888/46200]	Loss: 0.1769	LR: 0.004000
Training Epoch: 31 [6144/46200]	Loss: 0.1685	LR: 0.004000
Training Epoch: 31 [6400/46200]	Loss: 0.1252	LR: 0.004000
Training Epoch: 31 [6656/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 31 [6912/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 31 [7168/46200]	Loss: 0.1252	LR: 0.004000
Training Epoch: 31 [7424/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 31 [7680/46200]	Loss: 0.1832	LR: 0.004000
Training Epoch: 31 [7936/46200]	Loss: 0.1655	LR: 0.004000
Training Epoch: 31 [8192/46200]	Loss: 0.1986	LR: 0.004000
Training Epoch: 31 [8448/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 31 [8704/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 31 [8960/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 31 [9216/46200]	Loss: 0.2155	LR: 0.004000
Training Epoch: 31 [9472/46200]	Loss: 0.1291	LR: 0.004000
Training Epoch: 31 [9728/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 31 [9984/46200]	Loss: 0.1824	LR: 0.004000
Training Epoch: 31 [10240/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 31 [10496/46200]	Loss: 0.2046	LR: 0.004000
Training Epoch: 31 [10752/46200]	Loss: 0.1783	LR: 0.004000
Training Epoch: 31 [11008/46200]	Loss: 0.1540	LR: 0.004000
Training Epoch: 31 [11264/46200]	Loss: 0.1762	LR: 0.004000
Training Epoch: 31 [11520/46200]	Loss: 0.2257	LR: 0.004000
Training Epoch: 31 [11776/46200]	Loss: 0.2221	LR: 0.004000
Training Epoch: 31 [12032/46200]	Loss: 0.2091	LR: 0.004000
Training Epoch: 31 [12288/46200]	Loss: 0.1585	LR: 0.004000
Training Epoch: 31 [12544/46200]	Loss: 0.2388	LR: 0.004000
Training Epoch: 31 [12800/46200]	Loss: 0.1783	LR: 0.004000
Training Epoch: 31 [13056/46200]	Loss: 0.1546	LR: 0.004000
Training Epoch: 31 [13312/46200]	Loss: 0.2409	LR: 0.004000
Training Epoch: 31 [13568/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 31 [13824/46200]	Loss: 0.1652	LR: 0.004000
Training Epoch: 31 [14080/46200]	Loss: 0.1857	LR: 0.004000
Training Epoch: 31 [14336/46200]	Loss: 0.1600	LR: 0.004000
Training Epoch: 31 [14592/46200]	Loss: 0.1942	LR: 0.004000
Training Epoch: 31 [14848/46200]	Loss: 0.1913	LR: 0.004000
Training Epoch: 31 [15104/46200]	Loss: 0.2007	LR: 0.004000
Training Epoch: 31 [15360/46200]	Loss: 0.1701	LR: 0.004000
Training Epoch: 31 [15616/46200]	Loss: 0.2074	LR: 0.004000
Training Epoch: 31 [15872/46200]	Loss: 0.1969	LR: 0.004000
Training Epoch: 31 [16128/46200]	Loss: 0.2082	LR: 0.004000
Training Epoch: 31 [16384/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 31 [16640/46200]	Loss: 0.2175	LR: 0.004000
Training Epoch: 31 [16896/46200]	Loss: 0.1372	LR: 0.004000
Training Epoch: 31 [17152/46200]	Loss: 0.1695	LR: 0.004000
Training Epoch: 31 [17408/46200]	Loss: 0.1660	LR: 0.004000
Training Epoch: 31 [17664/46200]	Loss: 0.2213	LR: 0.004000
Training Epoch: 31 [17920/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 31 [18176/46200]	Loss: 0.2200	LR: 0.004000
Training Epoch: 31 [18432/46200]	Loss: 0.1648	LR: 0.004000
Training Epoch: 31 [18688/46200]	Loss: 0.1793	LR: 0.004000
Training Epoch: 31 [18944/46200]	Loss: 0.1206	LR: 0.004000
Training Epoch: 31 [19200/46200]	Loss: 0.2345	LR: 0.004000
Training Epoch: 31 [19456/46200]	Loss: 0.1802	LR: 0.004000
Training Epoch: 31 [19712/46200]	Loss: 0.1647	LR: 0.004000
Training Epoch: 31 [19968/46200]	Loss: 0.2255	LR: 0.004000
Training Epoch: 31 [20224/46200]	Loss: 0.1976	LR: 0.004000
Training Epoch: 31 [20480/46200]	Loss: 0.1461	LR: 0.004000
Training Epoch: 31 [20736/46200]	Loss: 0.2147	LR: 0.004000
Training Epoch: 31 [20992/46200]	Loss: 0.2137	LR: 0.004000
Training Epoch: 31 [21248/46200]	Loss: 0.1767	LR: 0.004000
Training Epoch: 31 [21504/46200]	Loss: 0.1683	LR: 0.004000
Training Epoch: 31 [21760/46200]	Loss: 0.1680	LR: 0.004000
Training Epoch: 31 [22016/46200]	Loss: 0.2086	LR: 0.004000
Training Epoch: 31 [22272/46200]	Loss: 0.1758	LR: 0.004000
Training Epoch: 31 [22528/46200]	Loss: 0.1595	LR: 0.004000
Training Epoch: 31 [22784/46200]	Loss: 0.1795	LR: 0.004000
Training Epoch: 31 [23040/46200]	Loss: 0.2520	LR: 0.004000
Training Epoch: 31 [23296/46200]	Loss: 0.1970	LR: 0.004000
Training Epoch: 31 [23552/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 31 [23808/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 31 [24064/46200]	Loss: 0.2022	LR: 0.004000
Training Epoch: 31 [24320/46200]	Loss: 0.1711	LR: 0.004000
Training Epoch: 31 [24576/46200]	Loss: 0.1821	LR: 0.004000
Training Epoch: 31 [24832/46200]	Loss: 0.1911	LR: 0.004000
Training Epoch: 31 [25088/46200]	Loss: 0.2581	LR: 0.004000
Training Epoch: 31 [25344/46200]	Loss: 0.2013	LR: 0.004000
Training Epoch: 31 [25600/46200]	Loss: 0.1883	LR: 0.004000
Training Epoch: 31 [25856/46200]	Loss: 0.1712	LR: 0.004000
Training Epoch: 31 [26112/46200]	Loss: 0.2587	LR: 0.004000
Training Epoch: 31 [26368/46200]	Loss: 0.1853	LR: 0.004000
Training Epoch: 31 [26624/46200]	Loss: 0.1733	LR: 0.004000
Training Epoch: 31 [26880/46200]	Loss: 0.1644	LR: 0.004000
Training Epoch: 31 [27136/46200]	Loss: 0.2291	LR: 0.004000
Training Epoch: 31 [27392/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 31 [27648/46200]	Loss: 0.1762	LR: 0.004000
Training Epoch: 31 [27904/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 31 [28160/46200]	Loss: 0.2135	LR: 0.004000
Training Epoch: 31 [28416/46200]	Loss: 0.2212	LR: 0.004000
Training Epoch: 31 [28672/46200]	Loss: 0.1699	LR: 0.004000
Training Epoch: 31 [28928/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 31 [29184/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 31 [29440/46200]	Loss: 0.2197	LR: 0.004000
Training Epoch: 31 [29696/46200]	Loss: 0.1993	LR: 0.004000
Training Epoch: 31 [29952/46200]	Loss: 0.1606	LR: 0.004000
Training Epoch: 31 [30208/46200]	Loss: 0.1958	LR: 0.004000
Training Epoch: 31 [30464/46200]	Loss: 0.1902	LR: 0.004000
Training Epoch: 31 [30720/46200]	Loss: 0.2078	LR: 0.004000
Training Epoch: 31 [30976/46200]	Loss: 0.2012	LR: 0.004000
Training Epoch: 31 [31232/46200]	Loss: 0.1769	LR: 0.004000
Training Epoch: 31 [31488/46200]	Loss: 0.2165	LR: 0.004000
Training Epoch: 31 [31744/46200]	Loss: 0.1756	LR: 0.004000
Training Epoch: 31 [32000/46200]	Loss: 0.1433	LR: 0.004000
Training Epoch: 31 [32256/46200]	Loss: 0.1882	LR: 0.004000
Training Epoch: 31 [32512/46200]	Loss: 0.1840	LR: 0.004000
Training Epoch: 31 [32768/46200]	Loss: 0.2004	LR: 0.004000
Training Epoch: 31 [33024/46200]	Loss: 0.2406	LR: 0.004000
Training Epoch: 31 [33280/46200]	Loss: 0.1817	LR: 0.004000
Training Epoch: 31 [33536/46200]	Loss: 0.2360	LR: 0.004000
Training Epoch: 31 [33792/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 31 [34048/46200]	Loss: 0.2292	LR: 0.004000
Training Epoch: 31 [34304/46200]	Loss: 0.2243	LR: 0.004000
Training Epoch: 31 [34560/46200]	Loss: 0.2379	LR: 0.004000
Training Epoch: 31 [34816/46200]	Loss: 0.1918	LR: 0.004000
Training Epoch: 31 [35072/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 31 [35328/46200]	Loss: 0.2402	LR: 0.004000
Training Epoch: 31 [35584/46200]	Loss: 0.1749	LR: 0.004000
Training Epoch: 31 [35840/46200]	Loss: 0.1693	LR: 0.004000
Training Epoch: 31 [36096/46200]	Loss: 0.1712	LR: 0.004000
Training Epoch: 31 [36352/46200]	Loss: 0.2462	LR: 0.004000
Training Epoch: 31 [36608/46200]	Loss: 0.1849	LR: 0.004000
Training Epoch: 31 [36864/46200]	Loss: 0.1643	LR: 0.004000
Training Epoch: 31 [37120/46200]	Loss: 0.1540	LR: 0.004000
Training Epoch: 31 [37376/46200]	Loss: 0.1542	LR: 0.004000
Training Epoch: 31 [37632/46200]	Loss: 0.1708	LR: 0.004000
Training Epoch: 31 [37888/46200]	Loss: 0.1865	LR: 0.004000
Training Epoch: 31 [38144/46200]	Loss: 0.1744	LR: 0.004000
Training Epoch: 31 [38400/46200]	Loss: 0.1576	LR: 0.004000
Training Epoch: 31 [38656/46200]	Loss: 0.1703	LR: 0.004000
Training Epoch: 31 [38912/46200]	Loss: 0.2710	LR: 0.004000
Training Epoch: 31 [39168/46200]	Loss: 0.1698	LR: 0.004000
Training Epoch: 31 [39424/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 31 [39680/46200]	Loss: 0.1895	LR: 0.004000
Training Epoch: 31 [39936/46200]	Loss: 0.1124	LR: 0.004000
Training Epoch: 31 [40192/46200]	Loss: 0.1499	LR: 0.004000
Training Epoch: 31 [40448/46200]	Loss: 0.2267	LR: 0.004000
Training Epoch: 31 [40704/46200]	Loss: 0.2463	LR: 0.004000
Training Epoch: 31 [40960/46200]	Loss: 0.1659	LR: 0.004000
Training Epoch: 31 [41216/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 31 [41472/46200]	Loss: 0.1804	LR: 0.004000
Training Epoch: 31 [41728/46200]	Loss: 0.1954	LR: 0.004000
Training Epoch: 31 [41984/46200]	Loss: 0.1366	LR: 0.004000
Training Epoch: 31 [42240/46200]	Loss: 0.1586	LR: 0.004000
Training Epoch: 31 [42496/46200]	Loss: 0.1662	LR: 0.004000
Training Epoch: 31 [42752/46200]	Loss: 0.1101	LR: 0.004000
Training Epoch: 31 [43008/46200]	Loss: 0.2001	LR: 0.004000
Training Epoch: 31 [43264/46200]	Loss: 0.2055	LR: 0.004000
Training Epoch: 31 [43520/46200]	Loss: 0.2340	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.1867	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.1588	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.1331	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.2296	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1767	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.2194	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3074	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.1714	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.1824	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1856, Train Accuracy: 0.9434
Epoch 31 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0028, Accuracy: 0.7995, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.1986	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.2002	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.1271	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.1844	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.2408	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.2078	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 32 [2304/46200]	Loss: 0.1613	LR: 0.004000
Training Epoch: 32 [2560/46200]	Loss: 0.1508	LR: 0.004000
Training Epoch: 32 [2816/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 32 [3072/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 32 [3328/46200]	Loss: 0.1788	LR: 0.004000
Training Epoch: 32 [3584/46200]	Loss: 0.1387	LR: 0.004000
Training Epoch: 32 [3840/46200]	Loss: 0.1874	LR: 0.004000
Training Epoch: 32 [4096/46200]	Loss: 0.1730	LR: 0.004000
Training Epoch: 32 [4352/46200]	Loss: 0.1581	LR: 0.004000
Training Epoch: 32 [4608/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 32 [4864/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 32 [5120/46200]	Loss: 0.1296	LR: 0.004000
Training Epoch: 32 [5376/46200]	Loss: 0.1835	LR: 0.004000
Training Epoch: 32 [5632/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 32 [5888/46200]	Loss: 0.2291	LR: 0.004000
Training Epoch: 32 [6144/46200]	Loss: 0.1317	LR: 0.004000
Training Epoch: 32 [6400/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 32 [6656/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 32 [6912/46200]	Loss: 0.1406	LR: 0.004000
Training Epoch: 32 [7168/46200]	Loss: 0.1344	LR: 0.004000
Training Epoch: 32 [7424/46200]	Loss: 0.1528	LR: 0.004000
Training Epoch: 32 [7680/46200]	Loss: 0.1272	LR: 0.004000
Training Epoch: 32 [7936/46200]	Loss: 0.1110	LR: 0.004000
Training Epoch: 32 [8192/46200]	Loss: 0.1485	LR: 0.004000
Training Epoch: 32 [8448/46200]	Loss: 0.1681	LR: 0.004000
Training Epoch: 32 [8704/46200]	Loss: 0.1418	LR: 0.004000
Training Epoch: 32 [8960/46200]	Loss: 0.1863	LR: 0.004000
Training Epoch: 32 [9216/46200]	Loss: 0.1734	LR: 0.004000
Training Epoch: 32 [9472/46200]	Loss: 0.1447	LR: 0.004000
Training Epoch: 32 [9728/46200]	Loss: 0.1326	LR: 0.004000
Training Epoch: 32 [9984/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 32 [10240/46200]	Loss: 0.1281	LR: 0.004000
Training Epoch: 32 [10496/46200]	Loss: 0.1383	LR: 0.004000
Training Epoch: 32 [10752/46200]	Loss: 0.1133	LR: 0.004000
Training Epoch: 32 [11008/46200]	Loss: 0.1926	LR: 0.004000
Training Epoch: 32 [11264/46200]	Loss: 0.1764	LR: 0.004000
Training Epoch: 32 [11520/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 32 [11776/46200]	Loss: 0.1639	LR: 0.004000
Training Epoch: 32 [12032/46200]	Loss: 0.1882	LR: 0.004000
Training Epoch: 32 [12288/46200]	Loss: 0.2049	LR: 0.004000
Training Epoch: 32 [12544/46200]	Loss: 0.2079	LR: 0.004000
Training Epoch: 32 [12800/46200]	Loss: 0.1979	LR: 0.004000
Training Epoch: 32 [13056/46200]	Loss: 0.1180	LR: 0.004000
Training Epoch: 32 [13312/46200]	Loss: 0.1304	LR: 0.004000
Training Epoch: 32 [13568/46200]	Loss: 0.1762	LR: 0.004000
Training Epoch: 32 [13824/46200]	Loss: 0.2063	LR: 0.004000
Training Epoch: 32 [14080/46200]	Loss: 0.2006	LR: 0.004000
Training Epoch: 32 [14336/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 32 [14592/46200]	Loss: 0.1476	LR: 0.004000
Training Epoch: 32 [14848/46200]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [15104/46200]	Loss: 0.1829	LR: 0.004000
Training Epoch: 32 [15360/46200]	Loss: 0.1852	LR: 0.004000
Training Epoch: 32 [15616/46200]	Loss: 0.1534	LR: 0.004000
Training Epoch: 32 [15872/46200]	Loss: 0.1875	LR: 0.004000
Training Epoch: 32 [16128/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 32 [16384/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 32 [16640/46200]	Loss: 0.1452	LR: 0.004000
Training Epoch: 32 [16896/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 32 [17152/46200]	Loss: 0.2288	LR: 0.004000
Training Epoch: 32 [17408/46200]	Loss: 0.1883	LR: 0.004000
Training Epoch: 32 [17664/46200]	Loss: 0.1745	LR: 0.004000
Training Epoch: 32 [17920/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.1859	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.1812	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.1440	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.1386	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.1212	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.1382	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.1703	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.1635	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.1624	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.1663	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.1727	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.1258	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.1810	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.1623	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.1082	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.1688	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.1707	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.1293	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.1381	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.2151	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.1383	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.1945	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.1316	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.1705	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.1901	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.2155	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.1013	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.1610	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.1989	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.1180	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.1560	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.1828	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.1566	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.1899	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.1658	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.1896	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.1333	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.1361	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.1562	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.1368	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.2037	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.1660	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.1631	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.1450	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.1869	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.1507	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.1615	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.1767	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.1907	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.2051	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.1539	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.1517	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.1420	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.1597	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.1344	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.1302	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.1579	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.1784	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.2093	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.1938	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.1866	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.1685	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.1492	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.1151	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.1638	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.2122	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.1906	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.1692	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.2179	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.1307	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.1165	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.1643	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.1567	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.1438	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.1687	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.1862	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.1549	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.1771	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.1811	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.1471	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.2199	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.1465	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.1239	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.1959	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.1582	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.1335	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.1772	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.2061	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.1869	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.1311	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.2214	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.1648	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.1469	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.2478	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.1717	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1932	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1648, Train Accuracy: 0.9510
Epoch 32 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0028, Accuracy: 0.7997, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.1229	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.1517	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.1178	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.1761	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.1338	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.1746	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.1760	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.1357	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.1747	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.1830	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.1623	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.1737	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.1044	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.1947	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.1414	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.1868	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.1564	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.1799	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.1327	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.1315	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.1570	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.1784	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.1451	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.1697	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.1009	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.1222	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.1196	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.1732	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.1443	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.1673	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.1284	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.1858	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.1748	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.1859	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.1701	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.1728	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.2221	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.1340	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.1468	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.1427	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.1658	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.1561	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.1260	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.1719	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.1699	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.1577	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.1869	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.1709	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.1617	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.1230	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.1101	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.1221	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.1393	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.1146	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.1387	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.1667	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.1483	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.1903	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.1426	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.0945	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.1309	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.1141	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.1355	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.1050	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.1898	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.1486	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.1407	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.1429	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.1712	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.1203	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.1220	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.1669	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.1479	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.1268	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.1174	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.1673	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.1923	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.1351	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.1773	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.1453	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.1554	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.1579	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.1977	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.1126	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.1488	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.1830	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.1242	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.1699	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.1765	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.1395	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.1741	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.1676	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.1900	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.1851	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.1470	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.2406	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.1548	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.1067	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.2102	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.2092	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.2019	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.1614	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.1241	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.1824	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.1473	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.1285	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.1828	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.1104	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.1766	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.1351	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.0848	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.1534	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.1368	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.1475	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.1941	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.1236	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.2010	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.1397	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.1987	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.1227	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.1156	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.1348	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.1194	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.1527	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.1555	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.1079	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.1483	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.1919	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.1823	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.1908	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.1391	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.1621	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.1472	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.1619	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.1531	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.1057	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.1878	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.1428	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.1569	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.1307	LR: 0.004000
Training Epoch: 33 [41984/46200]	Loss: 0.1014	LR: 0.004000
Training Epoch: 33 [42240/46200]	Loss: 0.0996	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.0903	LR: 0.004000
Training Epoch: 33 [42752/46200]	Loss: 0.1235	LR: 0.004000
Training Epoch: 33 [43008/46200]	Loss: 0.1207	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.1625	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.1196	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.1717	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.1397	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.1310	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.2074	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.1785	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.1351	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.1399	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.1307	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1165	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.2085	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1900	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1509, Train Accuracy: 0.9546
Epoch 33 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8038, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.1328	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.1899	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.1198	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.1019	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.1155	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.1308	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.1051	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.1674	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.1059	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.1306	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.1278	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.1301	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.1211	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.1336	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.1540	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.1434	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.1288	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.1125	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.1123	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.0963	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.1019	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.1436	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.1902	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.1559	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.1595	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.1274	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.1181	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.1329	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.0995	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.1365	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.1028	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.1620	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.1119	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.1536	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.1319	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.1232	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.1777	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.1914	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.1461	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.1379	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.1319	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.1152	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.1502	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.1415	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.1578	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.0884	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.1385	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.1166	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.0938	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.1100	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.2173	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.1967	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.1120	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.1299	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.1457	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.1480	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.1029	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.1163	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.1482	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.1289	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.1723	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.1718	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.2112	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.1093	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.1236	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.1321	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.1276	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.1497	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.1493	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.1215	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.1657	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.0931	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.1292	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.1397	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.1715	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.1602	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.1113	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.1441	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.1127	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.1552	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.1448	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.2139	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.1477	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.1933	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.1287	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.1192	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.1695	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.1109	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.0926	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.1407	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.1574	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.1566	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.0915	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.1668	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.1095	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.1300	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.1112	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.1515	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.1337	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.1422	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.1285	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.1378	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.1789	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.1312	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.1822	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.1439	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.1538	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.0984	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.1032	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.1139	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.1406	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.1760	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.1583	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.1726	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.0990	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.1476	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.1175	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.1402	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.1460	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.1276	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.1871	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.0926	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.1277	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.1058	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.1754	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.1589	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.1814	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.1629	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.1283	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.0994	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.1483	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.1190	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.1199	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.1537	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.0991	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.1463	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.2098	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.1501	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.1678	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.1984	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.1874	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.1162	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.1411	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.1887	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.1380	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.1341	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.1615	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.1374	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.1246	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.1508	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.1086	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1388	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1663	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1609	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1167	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1021	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1781	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.2439	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1392, Train Accuracy: 0.9582
Epoch 34 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8011, Time consumed:0.90s
Training Epoch: 35 [256/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.1318	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.1284	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.1748	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.1478	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.1504	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.1436	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.1378	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.1462	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.1464	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.1231	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.1605	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.1448	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.1641	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.1182	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.1577	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.1299	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.1355	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.1013	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.1162	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.1688	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.1684	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.1485	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.1350	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.1048	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.1439	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.1024	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.1237	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.1394	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.1425	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.1761	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.1652	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.1787	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.0928	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.1146	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.1191	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.1061	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.0840	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.1456	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.1036	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.1497	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.0724	LR: 0.000800
Training Epoch: 35 [30464/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 35 [30720/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.1308	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.1270	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 35 [32000/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [32256/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 35 [32768/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 35 [33024/46200]	Loss: 0.1491	LR: 0.000800
Training Epoch: 35 [33280/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 35 [33536/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 35 [33792/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 35 [34048/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 35 [34304/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 35 [34560/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 35 [34816/46200]	Loss: 0.0605	LR: 0.000800
Training Epoch: 35 [35072/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [35328/46200]	Loss: 0.1614	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.1491	LR: 0.000800
Training Epoch: 35 [35840/46200]	Loss: 0.1293	LR: 0.000800
Training Epoch: 35 [36096/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 35 [36352/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 35 [36608/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 35 [36864/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 35 [37120/46200]	Loss: 0.1250	LR: 0.000800
Training Epoch: 35 [37376/46200]	Loss: 0.0895	LR: 0.000800
Training Epoch: 35 [37632/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 35 [37888/46200]	Loss: 0.1184	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 35 [38400/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 35 [38656/46200]	Loss: 0.1695	LR: 0.000800
Training Epoch: 35 [38912/46200]	Loss: 0.1172	LR: 0.000800
Training Epoch: 35 [39168/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 35 [39424/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.1472	LR: 0.000800
Training Epoch: 35 [39936/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 35 [40192/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1551	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1308	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.0680	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.0973	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.1310	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1523	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1339	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1209, Train Accuracy: 0.9657
Epoch 35 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.8033, Time consumed:0.89s
Training Epoch: 36 [256/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.1575	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.1723	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.0861	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.0797	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 36 [8192/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 36 [8448/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [8704/46200]	Loss: 0.1695	LR: 0.000800
Training Epoch: 36 [8960/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.1521	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.0806	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 36 [10496/46200]	Loss: 0.1500	LR: 0.000800
Training Epoch: 36 [10752/46200]	Loss: 0.1386	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.1404	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.0791	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.1691	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 36 [13056/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 36 [13312/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 36 [13568/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 36 [13824/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 36 [14080/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 36 [14336/46200]	Loss: 0.1284	LR: 0.000800
Training Epoch: 36 [14592/46200]	Loss: 0.0947	LR: 0.000800
Training Epoch: 36 [14848/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 36 [15104/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 36 [15360/46200]	Loss: 0.1368	LR: 0.000800
Training Epoch: 36 [15616/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 36 [15872/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 36 [16128/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 36 [16384/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.1615	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.1768	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.1394	LR: 0.000800
Training Epoch: 36 [17664/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 36 [17920/46200]	Loss: 0.1529	LR: 0.000800
Training Epoch: 36 [18176/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [18432/46200]	Loss: 0.1612	LR: 0.000800
Training Epoch: 36 [18688/46200]	Loss: 0.0738	LR: 0.000800
Training Epoch: 36 [18944/46200]	Loss: 0.1422	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.1463	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.1392	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.1437	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 36 [20224/46200]	Loss: 0.1480	LR: 0.000800
Training Epoch: 36 [20480/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 36 [20736/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [20992/46200]	Loss: 0.1139	LR: 0.000800
Training Epoch: 36 [21248/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [21504/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 36 [21760/46200]	Loss: 0.1502	LR: 0.000800
Training Epoch: 36 [22016/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [22272/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 36 [22528/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [22784/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [23040/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [23296/46200]	Loss: 0.1401	LR: 0.000800
Training Epoch: 36 [23552/46200]	Loss: 0.1543	LR: 0.000800
Training Epoch: 36 [23808/46200]	Loss: 0.1092	LR: 0.000800
Training Epoch: 36 [24064/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 36 [24320/46200]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [24576/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [24832/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 36 [25088/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 36 [25344/46200]	Loss: 0.1445	LR: 0.000800
Training Epoch: 36 [25600/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.1325	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.1045	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.1683	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.1901	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.1723	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.0724	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.1484	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.1671	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 36 [31744/46200]	Loss: 0.0714	LR: 0.000800
Training Epoch: 36 [32000/46200]	Loss: 0.1668	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.1076	LR: 0.000800
Training Epoch: 36 [33024/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 36 [33280/46200]	Loss: 0.1421	LR: 0.000800
Training Epoch: 36 [33536/46200]	Loss: 0.1233	LR: 0.000800
Training Epoch: 36 [33792/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [34048/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [34304/46200]	Loss: 0.1179	LR: 0.000800
Training Epoch: 36 [34560/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 36 [34816/46200]	Loss: 0.0897	LR: 0.000800
Training Epoch: 36 [35072/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 36 [35328/46200]	Loss: 0.1097	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.1359	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.1580	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.1327	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.1462	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 36 [37376/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 36 [37632/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.1454	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [38400/46200]	Loss: 0.1021	LR: 0.000800
Training Epoch: 36 [38656/46200]	Loss: 0.1501	LR: 0.000800
Training Epoch: 36 [38912/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 36 [39168/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.1909	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.1407	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.1222	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1296	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.1416	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.1470	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.1114	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1659	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.0856	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1664	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1200, Train Accuracy: 0.9654
Epoch 36 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.8035, Time consumed:0.90s
Training Epoch: 37 [256/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.1478	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1391	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1104	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.1210	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1115	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.1212	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.1384	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.1259	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.1715	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.1589	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.1523	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.0775	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.1181	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.1385	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.1403	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.1605	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.0872	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.0710	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.1461	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.1422	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.1484	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.1370	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.1472	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.1169	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.1791	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.1232	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.0855	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.1810	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.1450	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.0675	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.1936	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.0862	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.0715	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.1493	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.0991	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.1647	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.1039	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.1430	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.1037	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.1333	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.1492	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.1019	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.1393	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.0721	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.0701	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.1430	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.1324	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.1531	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.1305	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.0755	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.1356	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.0967	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.0929	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.1452	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.0660	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.1522	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.1705	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.0776	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.1587	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.1365	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.1488	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.0845	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.1642	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.0721	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.1749	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.0998	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.1347	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.1074	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.0957	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.1382	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1331	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1353	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1350	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1049	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1159, Train Accuracy: 0.9676
Epoch 37 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.8040, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_45m_26s/ResNet18-Cifar20-seed4-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.1165	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.1047	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.0794	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.0742	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.0869	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.0910	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.1283	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.1233	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.0865	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.1519	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.1188	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.0712	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.0878	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.0781	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.1113	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.0802	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.1214	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.1402	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.0844	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.1085	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.1117	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.1396	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.0858	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.1362	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.1311	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.1545	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.0937	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.1046	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.1049	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.1059	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.1358	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.1270	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.1054	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.1635	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.0632	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.0681	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.0763	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.1020	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.1408	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.0863	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.1012	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.0811	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.0765	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.0915	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.1321	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.1399	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.1357	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.1111	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.0693	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.0757	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.1408	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.1060	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.0723	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.1465	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.0877	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.1337	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.1304	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.1124	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.1176	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.1498	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.1103	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.1133	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.1349	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.0985	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.1376	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.0812	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.0881	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.0677	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1279	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1545	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.0913	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1304	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1017	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.1305	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.0889	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1085, Train Accuracy: 0.9697
Epoch 38 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.8029, Time consumed:0.93s
Training Epoch: 39 [256/46200]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.0884	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1621	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.0816	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.1035	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.0821	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.1206	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.0668	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.0745	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.1190	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.1372	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.1010	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.1068	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.0767	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.0876	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.0551	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.0913	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.0905	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.0718	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1615	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.0906	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.0573	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.1000	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.0678	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.0880	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.1413	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.1421	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.0787	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.1042	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.0950	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.1172	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.1476	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.0874	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.1160	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.0931	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.0770	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.0804	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.0684	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.0847	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.1356	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.0854	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.0909	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.1003	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.0873	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.0891	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.1521	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.1326	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.1609	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.0725	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.1364	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.0887	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.0999	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.1175	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.0601	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.1241	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.1444	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.1485	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.1468	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.1258	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.1173	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.1317	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.0680	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.1411	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.0794	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.1686	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.1491	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.0827	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1291	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.1244	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.0663	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.0781	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1161	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.0925	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1029	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1366	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1085, Train Accuracy: 0.9702
Epoch 39 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.8036, Time consumed:0.90s
Training Epoch: 40 [256/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.1683	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0588	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0623	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.0636	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.0752	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.1312	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.0811	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.1201	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.0850	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.1153	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.1168	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.1765	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.0983	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.1447	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.0789	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.1319	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.1144	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.1423	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.0822	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.1746	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.0862	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.1031	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.1540	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.0792	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.1383	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.1455	LR: 0.000800
Training Epoch: 40 [14336/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 40 [14592/46200]	Loss: 0.0894	LR: 0.000800
Training Epoch: 40 [14848/46200]	Loss: 0.0549	LR: 0.000800
Training Epoch: 40 [15104/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 40 [15360/46200]	Loss: 0.1239	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.1508	LR: 0.000800
Training Epoch: 40 [16384/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 40 [16640/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.1137	LR: 0.000800
Training Epoch: 40 [17152/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 40 [17408/46200]	Loss: 0.1247	LR: 0.000800
Training Epoch: 40 [17664/46200]	Loss: 0.1303	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.1246	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.0701	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.0830	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.0683	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.1748	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.1138	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.1308	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.1342	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.0710	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.1067	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.0697	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.0763	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.1398	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.0944	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.1350	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.0696	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.0650	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.0796	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.0938	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.0952	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.0797	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.0673	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.0803	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.0817	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.0802	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.1245	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.0567	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.1382	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.0927	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.1300	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.1629	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.0669	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.1275	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.0669	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.1535	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.1473	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.0570	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1172	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.1379	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.0994	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.0903	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.1408	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.1126	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1253	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.0734	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.0907	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1066, Train Accuracy: 0.9712
Epoch 40 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.8021, Time consumed:0.87s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46200
Forget Train Dl:  3800
Retain Valid Dl:  46200
Forget Valid Dl:  3800
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 80.234375
Retain Accuracy: 97.46488952636719
Zero-Retain Forget (ZRF): 0.9023382663726807
Membership Inference Attack (MIA): 0.5981578947368421
Forget vs Retain Membership Inference Attack (MIA): 0.5960526315789474
Forget vs Test Membership Inference Attack (MIA): 0.5296052631578947
Test vs Retain Membership Inference Attack (MIA): 0.578
Train vs Test Membership Inference Attack (MIA): 0.596
Forget Set Accuracy (Df): 78.4104995727539
Method Execution Time: 2108.25 seconds
