
📌 Retain class distribution for seed 3:
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 3:
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: 3.1855	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.1303	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.1520	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0594	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.1246	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0392	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 2.9487	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 2.9655	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9011	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9470	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9776	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9375	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.8901	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9222	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.9254	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.9344	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8535	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.7269	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.7529	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.7824	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8242	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7711	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7672	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7963	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.6990	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7584	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7215	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.6496	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.5780	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6525	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.5893	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.5929	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.5678	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.7180	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.5946	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.5837	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.5850	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.5794	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.7104	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6080	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.7022	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6921	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6435	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.5543	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6954	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6892	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6311	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5093	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.4919	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.6209	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.6123	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.6584	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.6088	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.5636	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6025	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5663	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.6841	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.4860	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.4957	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.6115	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5545	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.6511	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5153	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5528	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.4953	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.4858	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5276	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.4738	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4490	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5340	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4996	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5469	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.5131	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.3467	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.5070	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4743	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.3795	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5590	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.5192	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5474	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.6623	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.6174	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.5334	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.8327	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.4014	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.5963	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.7428	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5941	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.6711	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.6205	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.4502	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5294	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5534	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5321	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4812	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.5613	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.5239	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.4722	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5351	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.5036	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5122	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.6075	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.3327	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.5204	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4676	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4325	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.5442	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4687	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4648	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.6152	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.5554	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4800	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.5683	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.3552	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.6684	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4086	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4044	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.5060	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4906	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.5264	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.4248	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4337	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4636	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4319	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.5164	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4793	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.5898	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4836	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.5692	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.6104	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.4149	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4767	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.6025	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.4694	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3613	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.4187	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.3930	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4005	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.5424	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.5289	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4157	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.4719	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.3167	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.4767	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.5971	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4676	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4247	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.5304	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3330	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3472	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4754	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4151	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4623	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.4870	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4871	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3489	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.5532	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4139	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.4396	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.4954	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3620	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.3527	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4498	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.3642	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.5238	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.3675	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.5039	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.4404	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.3834	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.3104	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.4053	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.3699	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3670	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3995	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.4391	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.4920	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3758	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.4163	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3260	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3249	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.5703	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5702, Train Accuracy: 0.2091
Epoch 1 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0103, Accuracy: 0.2279, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.4088	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3323	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.3830	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.4642	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.4002	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2664	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3275	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3662	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2136	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.2078, Train Accuracy: 0.3123
Epoch 2 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3467, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-2-best.pth
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Epoch 3 - Average Train Loss: 1.9538, Train Accuracy: 0.3872
Epoch 3 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0079, Accuracy: 0.3974, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-3-best.pth
Training Epoch: 4 [256/46200]	Loss: 1.7925	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5719	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7526, Train Accuracy: 0.4474
Epoch 4 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0071, Accuracy: 0.4510, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.7333	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5716, Train Accuracy: 0.5020
Epoch 5 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0063, Accuracy: 0.5113, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-5-best.pth
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Training Epoch: 6 [46200/46200]	Loss: 1.4805	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4400, Train Accuracy: 0.5417
Epoch 6 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0060, Accuracy: 0.5341, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.3871	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.2821	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3097, Train Accuracy: 0.5810
Epoch 7 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5538, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.3511	LR: 0.100000
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Training Epoch: 8 [46200/46200]	Loss: 1.1092	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2236, Train Accuracy: 0.6054
Epoch 8 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0059, Accuracy: 0.5511, Time consumed:0.91s
Training Epoch: 9 [256/46200]	Loss: 1.1821	LR: 0.100000
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Training Epoch: 9 [46200/46200]	Loss: 1.1506	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1480, Train Accuracy: 0.6281
Epoch 9 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5833, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.1668	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.0724, Train Accuracy: 0.6534
Epoch 10 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0049, Accuracy: 0.6184, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 1.0154	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0228, Train Accuracy: 0.6676
Epoch 11 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0049, Accuracy: 0.6303, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 1.0241	LR: 0.100000
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Training Epoch: 12 [46200/46200]	Loss: 0.9890	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9696, Train Accuracy: 0.6856
Epoch 12 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0044, Accuracy: 0.6539, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-12-best.pth
Training Epoch: 13 [256/46200]	Loss: 0.7956	LR: 0.100000
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Training Epoch: 13 [19712/46200]	Loss: 0.8527	LR: 0.100000
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Training Epoch: 13 [20224/46200]	Loss: 1.1347	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 0.9159	LR: 0.100000
Training Epoch: 13 [20736/46200]	Loss: 1.0614	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 1.0129	LR: 0.100000
Training Epoch: 13 [21248/46200]	Loss: 1.0028	LR: 0.100000
Training Epoch: 13 [21504/46200]	Loss: 0.9020	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 0.9134	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.9166	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 0.9236	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 1.0646	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 0.9190	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 1.1234	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 0.9347	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 0.8322	LR: 0.100000
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Training Epoch: 13 [27392/46200]	Loss: 0.8324	LR: 0.100000
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Training Epoch: 13 [27904/46200]	Loss: 0.8752	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 1.0824	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 0.9765	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 0.8424	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 0.9725	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 1.0599	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 0.8904	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.0519	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 0.8835	LR: 0.100000
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Training Epoch: 13 [30464/46200]	Loss: 0.8799	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 0.9743	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 1.0582	LR: 0.100000
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Training Epoch: 13 [36864/46200]	Loss: 0.9493	LR: 0.100000
Training Epoch: 13 [37120/46200]	Loss: 0.9253	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 1.0227	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 0.7857	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 0.9428	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 0.8848	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 0.9281	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 1.0315	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 0.9025	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 0.9824	LR: 0.100000
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Training Epoch: 13 [39680/46200]	Loss: 0.8853	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 0.9375	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 0.8393	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 0.9305	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 0.9041	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 0.9506	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 0.9772	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 0.9483	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 0.9825	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 0.8679	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 0.9704	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.9501	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 0.9054	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 0.9377	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 0.8393	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 0.8540	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 0.9687	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 0.8147	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 1.0763	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 0.9392	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 0.7738	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0196	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 1.0445	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 1.0591	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 0.9623	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 0.8507	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 0.8810	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9397, Train Accuracy: 0.6963
Epoch 13 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6480, Time consumed:0.92s
Training Epoch: 14 [256/46200]	Loss: 0.8656	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 1.0097	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.8204	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 0.7962	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 0.9803	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.8302	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 0.8684	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 0.8512	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 1.0162	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 0.8807	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 0.8341	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.8885	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 0.8404	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 0.7993	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 0.8708	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 0.8919	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 0.8548	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 0.9030	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 0.9457	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.9253	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.9885	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 0.8773	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.8053	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.7491	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.8519	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 0.8432	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.9169	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 0.7868	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 0.9302	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 0.7299	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 0.8815	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.8975	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 1.0138	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.8852	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.8836	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 0.9136	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 0.9303	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 0.9043	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9127	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 0.9075	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 0.8987	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 0.9040	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 0.8224	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 0.8339	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 0.9145	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 0.9159	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9230	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.8520	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.9940	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 0.8285	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 0.8772	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 0.9152	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 0.9621	LR: 0.100000
Training Epoch: 14 [14080/46200]	Loss: 0.8694	LR: 0.100000
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Training Epoch: 14 [14592/46200]	Loss: 0.9628	LR: 0.100000
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Training Epoch: 14 [16384/46200]	Loss: 0.8580	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 0.9060	LR: 0.100000
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Training Epoch: 14 [17152/46200]	Loss: 0.8715	LR: 0.100000
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Training Epoch: 14 [18432/46200]	Loss: 0.9513	LR: 0.100000
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Training Epoch: 14 [19200/46200]	Loss: 0.9882	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 0.8695	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 0.9400	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 0.9785	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 0.7905	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 0.9658	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 0.9522	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 1.0291	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 0.8746	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 0.8927	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 0.7536	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 0.9805	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 0.8191	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 0.9653	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 0.9809	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.8541	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 0.8919	LR: 0.100000
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Training Epoch: 14 [24320/46200]	Loss: 0.8949	LR: 0.100000
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Training Epoch: 14 [24832/46200]	Loss: 1.0327	LR: 0.100000
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Training Epoch: 14 [26112/46200]	Loss: 0.9015	LR: 0.100000
Training Epoch: 14 [26368/46200]	Loss: 0.9836	LR: 0.100000
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Training Epoch: 14 [26880/46200]	Loss: 0.9279	LR: 0.100000
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Training Epoch: 14 [27392/46200]	Loss: 0.9277	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 0.9159	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 1.0436	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 0.8350	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 0.8652	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 0.9375	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 0.8488	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 0.9109	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 0.9117	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 0.8399	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 0.7969	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 0.8192	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 0.8666	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 0.8293	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 1.0484	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 0.8975	LR: 0.100000
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Training Epoch: 14 [34304/46200]	Loss: 0.9080	LR: 0.100000
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Training Epoch: 14 [34816/46200]	Loss: 0.8753	LR: 0.100000
Training Epoch: 14 [35072/46200]	Loss: 0.9067	LR: 0.100000
Training Epoch: 14 [35328/46200]	Loss: 0.9400	LR: 0.100000
Training Epoch: 14 [35584/46200]	Loss: 0.9847	LR: 0.100000
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Training Epoch: 14 [36096/46200]	Loss: 1.0324	LR: 0.100000
Training Epoch: 14 [36352/46200]	Loss: 0.8746	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 0.9422	LR: 0.100000
Training Epoch: 14 [36864/46200]	Loss: 0.8632	LR: 0.100000
Training Epoch: 14 [37120/46200]	Loss: 0.8611	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 0.8303	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 0.8846	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 0.7483	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 0.9801	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 0.8463	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 1.0152	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.9463	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 0.8590	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 0.9446	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 1.0103	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 0.9524	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.9372	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 0.8777	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 1.0099	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 1.0008	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 0.9493	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 0.9950	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 0.8315	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 1.0079	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 0.9785	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 0.9581	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 0.8510	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 0.8607	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 0.8115	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 1.0142	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 0.8828	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.8951	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 0.9425	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 0.9872	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 0.9315	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.8827	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 0.9651	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 0.8864	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 0.8616	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 0.7883	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.8641	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9052, Train Accuracy: 0.7056
Epoch 14 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0046, Accuracy: 0.6468, Time consumed:0.88s
Training Epoch: 15 [256/46200]	Loss: 0.9273	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.8189	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.7892	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.7325	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.8280	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 0.8708	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.8211	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.7704	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.8674	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.7377	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 0.7760	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.6404	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6704, Train Accuracy: 0.7826
Epoch 15 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0030, Accuracy: 0.7592, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-15-best.pth
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Training Epoch: 16 [46200/46200]	Loss: 0.5195	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5914, Train Accuracy: 0.8056
Epoch 16 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7637, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.4922	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.5444	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5431, Train Accuracy: 0.8229
Epoch 17 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7688, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.5669	LR: 0.020000
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Training Epoch: 18 [8704/46200]	Loss: 0.5252	LR: 0.020000
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Training Epoch: 18 [9216/46200]	Loss: 0.6006	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.4725	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.4321	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.5324	LR: 0.020000
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Training Epoch: 18 [11520/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.4470	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.7033	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.6531	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.4522	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.5504	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.5327	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.4566	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.4866	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.4270	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.5310	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.4789	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.4199	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.5683	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.5653	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.5221	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.4854	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.4442	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.5729	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.6136	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.5084	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.4124	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.6257	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.5422	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.5022	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.5960	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6312	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.5844	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.5253	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.5513	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.4815	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.5783	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.4675	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.5035	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.4771	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.5759	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.4601	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5194, Train Accuracy: 0.8297
Epoch 18 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7680, Time consumed:0.88s
Training Epoch: 19 [256/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.4494	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.4838	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.3645	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.3982	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.4061	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.4568	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.4181	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.4029	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.5226	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.4915	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.4290	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.3937	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.3517	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.4438	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.4255	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5746	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.4706	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.4885	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.4434	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.3636	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.4451	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.6477	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.3718	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.5211	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.4157	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.5408	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6416	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.5077	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.4641	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.4749	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.5771	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.4514	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.5094	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.5419	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.5068	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5889	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.5333	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.4503	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.4409	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.4478	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.6755	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.4568	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.5151	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.4533	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.4033	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.4923	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.5018	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5685	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.4564	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.4928	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.4097	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.5079	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.4607	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.4143	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.4111	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.5524	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.4791	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.4303	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.4688	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.4327	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.5080	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.4844	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.3145	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.5362	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.6960	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4949, Train Accuracy: 0.8386
Epoch 19 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7691, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-19-best.pth
Training Epoch: 20 [256/46200]	Loss: 0.4188	LR: 0.020000
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Training Epoch: 20 [46200/46200]	Loss: 0.4993	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4737, Train Accuracy: 0.8437
Epoch 20 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7706, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.4107	LR: 0.020000
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Training Epoch: 21 [15360/46200]	Loss: 0.4305	LR: 0.020000
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Training Epoch: 21 [16640/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.4077	LR: 0.020000
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Training Epoch: 21 [17664/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.5318	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.4895	LR: 0.020000
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Training Epoch: 21 [18688/46200]	Loss: 0.4433	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.5117	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.4397	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.4821	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.3479	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.4671	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.4249	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.4144	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.4652	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.4070	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.4233	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.5870	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.4418	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5349	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.4523	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.4389	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.4039	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.4746	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.4588	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.4687	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4193	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.3623	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.3976	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.5058	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5330	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.4493	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.4388	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.4479	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.3977	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.4392	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.4768	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.4206	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.4166	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.4000	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.4215	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.4139	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.4593	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.4234	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.4479	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.3698	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.4304	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.4025	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.3745	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.4569	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.4060	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.4716	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.3996	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.4183	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4546, Train Accuracy: 0.8490
Epoch 21 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0032, Accuracy: 0.7615, Time consumed:0.98s
Training Epoch: 22 [256/46200]	Loss: 0.3814	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.3743	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.3771	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.3806	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.5388	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.3553	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.3964	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.4655	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.3293	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.4013	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.3396	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.4212	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.4216	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.4012	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.3846	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.4578	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.3504	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.4114	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.4618	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.3766	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.3867	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.4127	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.4209	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5042	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.4550	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.3410	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.3935	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.3965	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.3474	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.3420	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.4893	LR: 0.020000
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Training Epoch: 22 [14848/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.4555	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.4213	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.4551	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.3559	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.4676	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.4281	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.3291	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.5263	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.4019	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.4184	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.4953	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.4232	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.4538	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.3912	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5198	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.3769	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.4690	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4108	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.4141	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.3464	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.4774	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.4266	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.4043	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.4742	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.4051	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.4784	LR: 0.020000
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Training Epoch: 22 [27392/46200]	Loss: 0.3716	LR: 0.020000
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Training Epoch: 22 [27904/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.3995	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.4440	LR: 0.020000
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Training Epoch: 22 [30208/46200]	Loss: 0.3895	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5192	LR: 0.020000
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Training Epoch: 22 [32768/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.4515	LR: 0.020000
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Training Epoch: 22 [35328/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.3459	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.4085	LR: 0.020000
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Training Epoch: 22 [36864/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.4951	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.4696	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4041	LR: 0.020000
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Training Epoch: 22 [39168/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.6545	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5136	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.4174	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.5179	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.4619	LR: 0.020000
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Training Epoch: 22 [42752/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 22 [43008/46200]	Loss: 0.4468	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.4101	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.4018	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.4354	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.3764	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4571	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.3509	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.6024	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4324, Train Accuracy: 0.8574
Epoch 22 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0031, Accuracy: 0.7691, Time consumed:0.89s
Training Epoch: 23 [256/46200]	Loss: 0.4140	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.3445	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4663	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.4397	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.2864	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.3790	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.3537	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.3866	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.3753	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.4920	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.3854	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.4044	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.4027	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4500	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.4048	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.4358	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.4661	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.4332	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.4808	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.3596	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.3387	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.3376	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.4573	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.3525	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.4052	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.4484	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.3902	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.4916	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.3115	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.3421	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.3464	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.3955	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.3744	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.3610	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.4972	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.4430	LR: 0.020000
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Training Epoch: 23 [15104/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.4165	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.3733	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.3851	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.4793	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.4814	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.3784	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.4627	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.3282	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.3212	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.4401	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.4248	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.3374	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.4100	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.3455	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5548	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.4214	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.3375	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.4156	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.3482	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.3599	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.4149	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.4240	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.3344	LR: 0.020000
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Training Epoch: 23 [27904/46200]	Loss: 0.4419	LR: 0.020000
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Training Epoch: 23 [28416/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.3799	LR: 0.020000
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Training Epoch: 23 [40192/46200]	Loss: 0.4494	LR: 0.020000
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Training Epoch: 23 [40704/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5029	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.4138	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.3712	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.4730	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.3760	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.4429	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.4398	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.4386	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.4663	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.4572	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.4745	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.3877	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.4486	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4880	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.4459	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.4757	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4194, Train Accuracy: 0.8608
Epoch 23 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0032, Accuracy: 0.7642, Time consumed:0.88s
Training Epoch: 24 [256/46200]	Loss: 0.3656	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.3089	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.3649	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.3562	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.3492	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.3726	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.3855	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.3819	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.4161	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.3971	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.3506	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.3204	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.3432	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.3084	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.3342	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.4327	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.3792	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.3310	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.3954	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.3573	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.3878	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.4427	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.3050	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4700	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.3346	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.3408	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.3970	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.4168	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.3799	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.4038	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.3604	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.3673	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.3812	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.3607	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.3139	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.3912	LR: 0.020000
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Training Epoch: 24 [13056/46200]	Loss: 0.4119	LR: 0.020000
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Training Epoch: 24 [14848/46200]	Loss: 0.3161	LR: 0.020000
Training Epoch: 24 [15104/46200]	Loss: 0.4355	LR: 0.020000
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Training Epoch: 24 [15616/46200]	Loss: 0.3908	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.4275	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.3820	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.4294	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.3822	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.3165	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.4120	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.3883	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.4313	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.3590	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.3921	LR: 0.020000
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Training Epoch: 24 [19200/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.4011	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.3195	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.3928	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.3754	LR: 0.020000
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Training Epoch: 24 [20992/46200]	Loss: 0.3705	LR: 0.020000
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Training Epoch: 24 [21504/46200]	Loss: 0.3060	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.4022	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.3268	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.4831	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.3631	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.4173	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.3380	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.4310	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.3650	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.3252	LR: 0.020000
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Training Epoch: 24 [25856/46200]	Loss: 0.3981	LR: 0.020000
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Training Epoch: 24 [27136/46200]	Loss: 0.4444	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5236	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.3336	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.4529	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.3959	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.3763	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.3484	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.3966	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.4387	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.3968	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.4147	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.3684	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.3980	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.4489	LR: 0.020000
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Training Epoch: 24 [38656/46200]	Loss: 0.3229	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.3172	LR: 0.020000
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Training Epoch: 24 [40192/46200]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.3835	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.3557	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.4343	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.4412	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.3518	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.3711	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.4353	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.3892	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.3967	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.3691	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.4846	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.4145	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.3547	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.3530	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.2921	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3956, Train Accuracy: 0.8685
Epoch 24 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7646, Time consumed:1.00s
Training Epoch: 25 [256/46200]	Loss: 0.3151	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.3546	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.4159	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.3667	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.3728	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.4008	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.3544	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.2913	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.4085	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.3147	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.3785	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.3078	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.3378	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.3810	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3161	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.3993	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.4172	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.4339	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.3448	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.4433	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.3104	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.2992	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.3540	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.3813	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.3318	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.3328	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.3557	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.3498	LR: 0.020000
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Training Epoch: 25 [9728/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.3789	LR: 0.020000
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Training Epoch: 25 [11008/46200]	Loss: 0.4072	LR: 0.020000
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Training Epoch: 25 [23552/46200]	Loss: 0.3534	LR: 0.020000
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Training Epoch: 25 [27904/46200]	Loss: 0.3323	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.2865	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.3709	LR: 0.020000
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Training Epoch: 25 [28928/46200]	Loss: 0.4110	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.5157	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.4084	LR: 0.020000
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Training Epoch: 25 [38656/46200]	Loss: 0.3621	LR: 0.020000
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Training Epoch: 25 [40704/46200]	Loss: 0.3712	LR: 0.020000
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Training Epoch: 25 [42496/46200]	Loss: 0.3861	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.3230	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.3931	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.3946	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.3337	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.4169	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.3841	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.4181	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.4188	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4489	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.2802	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3872, Train Accuracy: 0.8715
Epoch 25 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7656, Time consumed:0.89s
Training Epoch: 26 [256/46200]	Loss: 0.3671	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.3354	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3816	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.3551	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.3643	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.3922	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.4287	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.3362	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.4296	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.3441	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.3981	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3141	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.2664	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.3829	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.3375	LR: 0.020000
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Training Epoch: 26 [6656/46200]	Loss: 0.3535	LR: 0.020000
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Training Epoch: 26 [8192/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.3133	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.3761	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.3333	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.3657	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.2985	LR: 0.020000
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Training Epoch: 26 [10496/46200]	Loss: 0.4113	LR: 0.020000
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Training Epoch: 26 [11008/46200]	Loss: 0.3511	LR: 0.020000
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Training Epoch: 26 [11776/46200]	Loss: 0.3385	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.4312	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.4617	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.3934	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.3298	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.4628	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4489	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.3599	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.3305	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.3938	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.3940	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.3287	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.3397	LR: 0.020000
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Training Epoch: 26 [16128/46200]	Loss: 0.3390	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.4179	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.3747	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.3220	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.2864	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.3587	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.3536	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.3406	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.2829	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.3721	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.3248	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.3368	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.4301	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.3377	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.3160	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.3948	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4073	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.3750	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4348	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.3560	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.3414	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4349	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.3903	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.3500	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.3545	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4239	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.2834	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.3267	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.3493	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.3067	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.3633	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.4020	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.4305	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.4293	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.3992	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.4071	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.4368	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.4272	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.3592	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4195	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.4098	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.4067	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4577	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.4201	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.3865	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.3318	LR: 0.020000
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Training Epoch: 26 [32768/46200]	Loss: 0.3859	LR: 0.020000
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Training Epoch: 26 [33280/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.3941	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.4244	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.3550	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.4056	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.4344	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.3207	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.4617	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.4175	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.3522	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.3923	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.3279	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.3238	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.3956	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.4834	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.3811	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.3181	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.4323	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.2879	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.3574	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.3901	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.3988	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.3759	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.4611	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.3768	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.3577	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.2839	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.3774	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.3756	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.3839	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.4176	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.3677	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4361	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.4355	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.3204	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.2638	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.3721	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3773, Train Accuracy: 0.8732
Epoch 26 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0032, Accuracy: 0.7644, Time consumed:0.87s
Training Epoch: 27 [256/46200]	Loss: 0.4107	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.3152	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.2899	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.3529	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.3302	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.3209	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.4246	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.3419	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.4478	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3269	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.3772	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.2990	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.3652	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4485	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.3969	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.2725	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.3685	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.3222	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.2693	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.2400	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.2921	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.2449	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.3528	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.2943	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.3826	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.3453	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.3341	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.2780	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.2708	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.3327	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.2997	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.3301	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.3630	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.3693	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.3283	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.3067	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.3363	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.3520	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.3824	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.3661	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.3133	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.3618	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.3904	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.2595	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.3524	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.3704	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.4045	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.2956	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.3281	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.2925	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.3010	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.3856	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.3430	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.3957	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.3355	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4432	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.3734	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.4709	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4332	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.2205	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.4146	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.4158	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.3589	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.3051	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.3917	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.2981	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.2650	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.4065	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.3742	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.2862	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.3190	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.3338	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.3850	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.3825	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.3495	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.3666	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.3641	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.3979	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.3872	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.3588	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.2969	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.3614	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.3961	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.2582	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.3084	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.3651	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.3127	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.3325	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.3219	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.4004	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.3886	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.3496	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.3658	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.2645	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.3042	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.3246	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.3113	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.2903	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.2532	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.3533	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.2299	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.3502	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.3318	LR: 0.020000
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Training Epoch: 27 [46080/46200]	Loss: 0.3527	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.2845	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3577, Train Accuracy: 0.8815
Epoch 27 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7593, Time consumed:0.89s
Training Epoch: 28 [256/46200]	Loss: 0.4516	LR: 0.020000
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Training Epoch: 28 [46200/46200]	Loss: 0.4986	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3481, Train Accuracy: 0.8835
Epoch 28 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7748, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-28-best.pth
Training Epoch: 29 [256/46200]	Loss: 0.2968	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.2478	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.3008	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.2991	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.3435	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.3094	LR: 0.020000
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Training Epoch: 29 [2048/46200]	Loss: 0.2652	LR: 0.020000
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Training Epoch: 29 [10496/46200]	Loss: 0.3194	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.2814	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.3226	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.3178	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.2522	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.2896	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.3695	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.3594	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.3531	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.3608	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.2459	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.3899	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.3987	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3233	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.3717	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.3804	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.2878	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.2472	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3887	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.3055	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3128	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.3234	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.3781	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.3885	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.3192	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.3395	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.3216	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.2435	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4153	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.2881	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.3375	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.3117	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.3889	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.3542	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.3334	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3091	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.3656	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.2608	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.3989	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.3599	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.2856	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.3332	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.3412	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.2465	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.3006	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.2525	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.3481	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.3324	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.3692	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.2520	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.3289	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.3330	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.2749	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.4469	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.2833	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.4172	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.2986	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.3203	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.3157	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.2990	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.3765	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.2924	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.3672	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.4069	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.3335	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.4378	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4197	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.3468	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.3870	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.3365	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.3081	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.3985	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.3660	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.2907	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.4424	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.3111	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.3360	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.3252	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.3431	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.2770	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.3391	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.3754	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.3025	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.3364	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.3579	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.2962	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.4015	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.4054	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.3487	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.3973	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.3727	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.3104	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.3565	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.3199	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.3040	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.3383	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.3299	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.3662	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.3357	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.4375	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.4754	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.3619	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.3278	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.4041	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.3615	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.3570	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.3998	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.3724	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.3860	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.2774	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.4581	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.3864	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.2683	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.3738	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.2317	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3415, Train Accuracy: 0.8860
Epoch 29 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7544, Time consumed:0.96s
Training Epoch: 30 [256/46200]	Loss: 0.2730	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.2904	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.3318	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.3075	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.3253	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.2441	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.2605	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.2954	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.2296	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.2993	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.2699	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.2543	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.2910	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.2743	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.2205	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.2188	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.2570	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.2508	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.2652	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.1872	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.2349	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.2943	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.2405	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.2514	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.2985	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.2163	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.2664	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.2369	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.2395	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.2274	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.2454	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.2774	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.2750	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.2365	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.2297	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.1981	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.2363	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.2655	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.2284	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.2405	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.2248	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.2768	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.2029	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.2696	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.2361	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.1955	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.2345	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.2434	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.2034	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.2224	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2354	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.2893	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.2666	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.2037	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.2252	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.2276	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.2383	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.1968	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.1917	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.1831	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.1795	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.2336	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.1332	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.2349	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.2570	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.2320	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.2512	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.2135	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.1884	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.2513	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.1787	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.1778	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.1945	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.2779	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.2085	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.2439	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.2060	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.2336	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.1404	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.2353	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.2624	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.2638	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.1607	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.1982	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.2649	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.2554	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.2298	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.2243	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.2124	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.1784	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.1792	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.1716	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.2058	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.2104	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.1621	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.1960	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.2208	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.2197	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.2126	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.2344	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.1911	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.2158	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.2195	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.1942	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.2569	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.2067	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.1519	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.2567	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2023	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.2208	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.2439	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.2004	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.1480	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.2231	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.2512	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.2016	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.1673	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.1848	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.2290	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.1666	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.2941	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2175	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.2643	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.2282	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.2325	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.2234	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.1853	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.2267	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.2183	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.2392	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.1776	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.2028	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.2120	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.1960	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.1867	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.1990	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.2760	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.2387	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.2342	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.1963	LR: 0.004000
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Training Epoch: 30 [43520/46200]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.2657	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.2598	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.2375	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.1568	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.1980	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.2096	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.2156	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.2098	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.2214	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.1509	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2254, Train Accuracy: 0.9286
Epoch 30 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0028, Accuracy: 0.8010, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.1792	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.1735	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.1892	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.1584	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.1668	LR: 0.004000
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Training Epoch: 31 [44544/46200]	Loss: 0.1864	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.1698	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.1413	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.1726	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.1920	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.1642	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.2139	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.2346	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1769, Train Accuracy: 0.9466
Epoch 31 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7986, Time consumed:0.92s
Training Epoch: 32 [256/46200]	Loss: 0.1495	LR: 0.004000
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Training Epoch: 32 [46080/46200]	Loss: 0.2003	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.1397	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1591, Train Accuracy: 0.9517
Epoch 32 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.8018, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.1259	LR: 0.004000
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Training Epoch: 33 [44800/46200]	Loss: 0.2448	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.1409	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.1605	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.1425	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.1510	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.1074	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.1616	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1477, Train Accuracy: 0.9556
Epoch 33 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.8038, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-33-best.pth
Training Epoch: 34 [256/46200]	Loss: 0.1230	LR: 0.004000
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Training Epoch: 34 [43520/46200]	Loss: 0.1374	LR: 0.004000
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Training Epoch: 34 [44032/46200]	Loss: 0.1013	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.1861	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.1349	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.1400	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.1740	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.1800	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.1474	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.1195	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.2017	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1391, Train Accuracy: 0.9570
Epoch 34 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.8010, Time consumed:0.90s
Training Epoch: 35 [256/46200]	Loss: 0.1121	LR: 0.000800
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Training Epoch: 35 [1280/46200]	Loss: 0.1398	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.1176	LR: 0.000800
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Training Epoch: 35 [24832/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.1282	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.1367	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.1602	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.1479	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.1302	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.1236	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.1102	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.1171	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.1664	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.1004	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.0797	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.0984	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.1571	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.1087	LR: 0.000800
Training Epoch: 35 [30464/46200]	Loss: 0.1468	LR: 0.000800
Training Epoch: 35 [30720/46200]	Loss: 0.0922	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.1180	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.1455	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.0904	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.1089	LR: 0.000800
Training Epoch: 35 [32000/46200]	Loss: 0.1193	LR: 0.000800
Training Epoch: 35 [32256/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.1034	LR: 0.000800
Training Epoch: 35 [32768/46200]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [33024/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 35 [33280/46200]	Loss: 0.1043	LR: 0.000800
Training Epoch: 35 [33536/46200]	Loss: 0.0786	LR: 0.000800
Training Epoch: 35 [33792/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 35 [34048/46200]	Loss: 0.1390	LR: 0.000800
Training Epoch: 35 [34304/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 35 [34560/46200]	Loss: 0.1255	LR: 0.000800
Training Epoch: 35 [34816/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 35 [35072/46200]	Loss: 0.1254	LR: 0.000800
Training Epoch: 35 [35328/46200]	Loss: 0.0939	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.0871	LR: 0.000800
Training Epoch: 35 [35840/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 35 [36096/46200]	Loss: 0.1568	LR: 0.000800
Training Epoch: 35 [36352/46200]	Loss: 0.0964	LR: 0.000800
Training Epoch: 35 [36608/46200]	Loss: 0.0962	LR: 0.000800
Training Epoch: 35 [36864/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 35 [37120/46200]	Loss: 0.1358	LR: 0.000800
Training Epoch: 35 [37376/46200]	Loss: 0.0996	LR: 0.000800
Training Epoch: 35 [37632/46200]	Loss: 0.1177	LR: 0.000800
Training Epoch: 35 [37888/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.1475	LR: 0.000800
Training Epoch: 35 [38400/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 35 [38656/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [38912/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 35 [39168/46200]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [39424/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.1279	LR: 0.000800
Training Epoch: 35 [39936/46200]	Loss: 0.0971	LR: 0.000800
Training Epoch: 35 [40192/46200]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.1424	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.1380	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.1582	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.1443	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.1008	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.1238	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.1696	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.1154	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.1369	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.1387	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.1243	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.0940	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.1123	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.1496	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.0853	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.1220	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.0970	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.1707	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1170, Train Accuracy: 0.9663
Epoch 35 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.8015, Time consumed:0.87s
Training Epoch: 36 [256/46200]	Loss: 0.1673	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.1377	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.1340	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.0559	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.1040	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.1108	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.1213	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.1086	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.1373	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.1163	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.1463	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.1395	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.1050	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.1397	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.0951	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 36 [8192/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 36 [8448/46200]	Loss: 0.0691	LR: 0.000800
Training Epoch: 36 [8704/46200]	Loss: 0.1006	LR: 0.000800
Training Epoch: 36 [8960/46200]	Loss: 0.1166	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.1402	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.1459	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.0963	LR: 0.000800
Training Epoch: 36 [10496/46200]	Loss: 0.1101	LR: 0.000800
Training Epoch: 36 [10752/46200]	Loss: 0.1186	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.0915	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.1284	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.0839	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.1147	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.1328	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 36 [13056/46200]	Loss: 0.1091	LR: 0.000800
Training Epoch: 36 [13312/46200]	Loss: 0.1132	LR: 0.000800
Training Epoch: 36 [13568/46200]	Loss: 0.0862	LR: 0.000800
Training Epoch: 36 [13824/46200]	Loss: 0.1260	LR: 0.000800
Training Epoch: 36 [14080/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 36 [14336/46200]	Loss: 0.1265	LR: 0.000800
Training Epoch: 36 [14592/46200]	Loss: 0.1096	LR: 0.000800
Training Epoch: 36 [14848/46200]	Loss: 0.1025	LR: 0.000800
Training Epoch: 36 [15104/46200]	Loss: 0.1078	LR: 0.000800
Training Epoch: 36 [15360/46200]	Loss: 0.1127	LR: 0.000800
Training Epoch: 36 [15616/46200]	Loss: 0.0954	LR: 0.000800
Training Epoch: 36 [15872/46200]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [16128/46200]	Loss: 0.1357	LR: 0.000800
Training Epoch: 36 [16384/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.1307	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.1027	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.0948	LR: 0.000800
Training Epoch: 36 [17664/46200]	Loss: 0.0857	LR: 0.000800
Training Epoch: 36 [17920/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 36 [18176/46200]	Loss: 0.1344	LR: 0.000800
Training Epoch: 36 [18432/46200]	Loss: 0.0892	LR: 0.000800
Training Epoch: 36 [18688/46200]	Loss: 0.0754	LR: 0.000800
Training Epoch: 36 [18944/46200]	Loss: 0.1075	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.0688	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.1269	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.1235	LR: 0.000800
Training Epoch: 36 [20224/46200]	Loss: 0.1294	LR: 0.000800
Training Epoch: 36 [20480/46200]	Loss: 0.1005	LR: 0.000800
Training Epoch: 36 [20736/46200]	Loss: 0.1142	LR: 0.000800
Training Epoch: 36 [20992/46200]	Loss: 0.0960	LR: 0.000800
Training Epoch: 36 [21248/46200]	Loss: 0.1446	LR: 0.000800
Training Epoch: 36 [21504/46200]	Loss: 0.1216	LR: 0.000800
Training Epoch: 36 [21760/46200]	Loss: 0.1295	LR: 0.000800
Training Epoch: 36 [22016/46200]	Loss: 0.1690	LR: 0.000800
Training Epoch: 36 [22272/46200]	Loss: 0.1256	LR: 0.000800
Training Epoch: 36 [22528/46200]	Loss: 0.0821	LR: 0.000800
Training Epoch: 36 [22784/46200]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [23040/46200]	Loss: 0.1041	LR: 0.000800
Training Epoch: 36 [23296/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 36 [23552/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 36 [23808/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 36 [24064/46200]	Loss: 0.1285	LR: 0.000800
Training Epoch: 36 [24320/46200]	Loss: 0.1149	LR: 0.000800
Training Epoch: 36 [24576/46200]	Loss: 0.1077	LR: 0.000800
Training Epoch: 36 [24832/46200]	Loss: 0.1273	LR: 0.000800
Training Epoch: 36 [25088/46200]	Loss: 0.1227	LR: 0.000800
Training Epoch: 36 [25344/46200]	Loss: 0.1304	LR: 0.000800
Training Epoch: 36 [25600/46200]	Loss: 0.1314	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.1278	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.0868	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.1170	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.1700	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.0872	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.0942	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.1503	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.1263	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.1466	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.1459	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.1400	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.1208	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.0664	LR: 0.000800
Training Epoch: 36 [31744/46200]	Loss: 0.1107	LR: 0.000800
Training Epoch: 36 [32000/46200]	Loss: 0.0735	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.0622	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.1156	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.0987	LR: 0.000800
Training Epoch: 36 [33024/46200]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [33280/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 36 [33536/46200]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [33792/46200]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [34048/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 36 [34304/46200]	Loss: 0.1271	LR: 0.000800
Training Epoch: 36 [34560/46200]	Loss: 0.1276	LR: 0.000800
Training Epoch: 36 [34816/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 36 [35072/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 36 [35328/46200]	Loss: 0.1425	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.0965	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.0821	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.1151	LR: 0.000800
Training Epoch: 36 [37376/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [37632/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.1022	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 36 [38400/46200]	Loss: 0.1001	LR: 0.000800
Training Epoch: 36 [38656/46200]	Loss: 0.1353	LR: 0.000800
Training Epoch: 36 [38912/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 36 [39168/46200]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.1343	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.1261	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.1066	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.1152	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.0943	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.0825	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.0986	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.1211	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.1390	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.0914	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.1351	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.1389	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.1299	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.1913	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.1219	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.1315	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.1079	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.0795	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.1313	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.1093	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.0814	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.1073	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.1178	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1130, Train Accuracy: 0.9667
Epoch 36 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.8030, Time consumed:0.90s
Training Epoch: 37 [256/46200]	Loss: 0.1562	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.0733	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.1198	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.0968	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.1192	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.0956	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.1058	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.1585	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.0859	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.1070	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.1057	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.0697	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.0835	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.0834	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.1197	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.1056	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.0929	LR: 0.000800
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Training Epoch: 37 [42496/46200]	Loss: 0.1199	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.1120	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.1112	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.0981	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.1309	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.1131	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.1007	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.0926	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.1527	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.1145	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.1178	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.1459	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.0747	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1500	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1095, Train Accuracy: 0.9689
Epoch 37 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.8051, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-37-best.pth
Training Epoch: 38 [256/46200]	Loss: 0.0974	LR: 0.000800
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Training Epoch: 38 [1536/46200]	Loss: 0.1021	LR: 0.000800
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Training Epoch: 38 [9984/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.0894	LR: 0.000800
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Training Epoch: 38 [32000/46200]	Loss: 0.1199	LR: 0.000800
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Training Epoch: 38 [40192/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.0828	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.1053	LR: 0.000800
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Training Epoch: 38 [41216/46200]	Loss: 0.0924	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.1660	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.0885	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.0889	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.1420	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.1330	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.0815	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.1447	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.0919	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.0978	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.1499	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.0692	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.1264	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.1528	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.0911	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.1207	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.0822	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1098, Train Accuracy: 0.9689
Epoch 38 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.8052, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-38-best.pth
Training Epoch: 39 [256/46200]	Loss: 0.1354	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.0668	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.0934	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.1299	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.1195	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.1187	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.1052	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.1223	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.0946	LR: 0.000800
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Training Epoch: 39 [4096/46200]	Loss: 0.0923	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.1435	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.1033	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.0706	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.1252	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.0951	LR: 0.000800
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Training Epoch: 39 [6656/46200]	Loss: 0.1252	LR: 0.000800
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Training Epoch: 39 [7936/46200]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.1015	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.0839	LR: 0.000800
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Training Epoch: 39 [9984/46200]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.1446	LR: 0.000800
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Training Epoch: 39 [36352/46200]	Loss: 0.1208	LR: 0.000800
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Training Epoch: 39 [36864/46200]	Loss: 0.1334	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.1397	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.0822	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.1446	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.1028	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.0847	LR: 0.000800
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Training Epoch: 39 [39424/46200]	Loss: 0.0874	LR: 0.000800
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Training Epoch: 39 [39936/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.1164	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.0870	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.0992	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.1109	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.1229	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.1101	LR: 0.000800
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Training Epoch: 39 [42240/46200]	Loss: 0.1451	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.1248	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.1072	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.1129	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.1053	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.1080	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.1065	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.1292	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.1116	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.1418	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.1519	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.1336	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.1287	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.1713	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.1274	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.1279	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.1233	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1080, Train Accuracy: 0.9694
Epoch 39 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.8054, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-39-best.pth
Training Epoch: 40 [256/46200]	Loss: 0.1038	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.1431	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.0935	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.0912	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.0806	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.1044	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.0761	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.0941	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.0788	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.0823	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.0955	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.1180	LR: 0.000800
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Training Epoch: 40 [5120/46200]	Loss: 0.1038	LR: 0.000800
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Training Epoch: 40 [8448/46200]	Loss: 0.0849	LR: 0.000800
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Training Epoch: 40 [9984/46200]	Loss: 0.0886	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.0945	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.1050	LR: 0.000800
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Training Epoch: 40 [11520/46200]	Loss: 0.0914	LR: 0.000800
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Training Epoch: 40 [43008/46200]	Loss: 0.1100	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.0879	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.0740	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.0977	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.0811	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.0771	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.1136	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.1719	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1019, Train Accuracy: 0.9714
Epoch 40 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.8064, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_01h_10m_08s/ResNet18-Cifar20-seed3-ret25-40-best.pth
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: 80.5078125
Retain Accuracy: 97.62085723876953
Zero-Retain Forget (ZRF): 0.9023598432540894
Membership Inference Attack (MIA): 0.5968421052631578
Forget vs Retain Membership Inference Attack (MIA): 0.5888157894736842
Forget vs Test Membership Inference Attack (MIA): 0.5105263157894737
Test vs Retain Membership Inference Attack (MIA): 0.57125
Train vs Test Membership Inference Attack (MIA): 0.6005
Forget Set Accuracy (Df): 78.10763549804688
Method Execution Time: 2100.62 seconds
