
📌 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: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.1440	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.2130	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.1850	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.1141	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0848	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0697	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9559	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9245	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.8651	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9342	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.8368	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9307	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.8256	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9386	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 3.0284	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8367	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.7962	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8038	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8740	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8024	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7547	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8508	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.6543	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.6839	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7193	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7447	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.5957	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.6752	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6655	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6765	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6406	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.5956	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7138	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6034	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.5071	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.5351	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.4454	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6643	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6325	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5089	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.5419	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.7197	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6077	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6992	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.6909	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6639	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5982	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5499	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6629	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5270	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5564	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.6886	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5945	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.4867	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5121	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.4805	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.6473	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5780	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.7044	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5824	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.6533	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5642	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5288	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.4552	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.6944	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5711	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5182	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4297	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5090	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.7158	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5180	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5982	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.6917	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4267	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4768	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.3895	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4517	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5478	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.3989	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4830	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5476	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.6098	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.6977	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4789	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5589	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4858	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.5437	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.3469	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.6177	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.6223	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5420	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4998	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5790	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.5714	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4781	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.6518	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.3212	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4034	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4563	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.5641	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.2788	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5459	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5123	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.5573	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4264	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.5819	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.5760	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.3920	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4810	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4622	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4399	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4699	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.4897	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4669	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4968	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.5916	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.3991	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3488	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.5246	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.6175	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.4685	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3503	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3267	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.4494	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.6368	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4459	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3253	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4472	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.5697	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.5975	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3348	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.6231	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.5649	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.5161	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4565	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4649	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3724	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3050	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3106	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4681	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4854	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3916	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4242	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4471	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.5334	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4257	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.5359	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.5213	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.3524	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.4940	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4580	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.5458	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.5270	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.5006	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.5066	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4790	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.4259	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3743	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.5463	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3384	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4065	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.4033	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3331	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.4395	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3720	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.4615	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.5381	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.4289	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3238	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.4079	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3169	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.4283	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.5461	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2749	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2849	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4564	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.5600	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3752	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.4760	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3634	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.4052	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.2751	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3954	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2947	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.3547	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3878	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5576, Train Accuracy: 0.2159
Epoch 1 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0094, Accuracy: 0.2749, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3621	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.4247	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3575	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1630, Train Accuracy: 0.3266
Epoch 2 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0080, Accuracy: 0.3820, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.7103	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9025, Train Accuracy: 0.4040
Epoch 3 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0078, Accuracy: 0.4046, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8675	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.6903, Train Accuracy: 0.4687
Epoch 4 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0074, Accuracy: 0.4483, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.7158	LR: 0.100000
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Training Epoch: 5 [47500/47500]	Loss: 1.6171	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5150, Train Accuracy: 0.5171
Epoch 5 training time consumed: 28.35s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0067, Accuracy: 0.4908, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.1587	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3820, Train Accuracy: 0.5602
Epoch 6 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.5212, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3740	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.2826, Train Accuracy: 0.5895
Epoch 7 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5612, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.2185	LR: 0.100000
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Training Epoch: 8 [47500/47500]	Loss: 1.1969	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1900, Train Accuracy: 0.6168
Epoch 8 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0049, Accuracy: 0.6000, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.2116	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.1233	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1077, Train Accuracy: 0.6408
Epoch 9 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0047, Accuracy: 0.6204, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.0541	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 1.1210	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0537, Train Accuracy: 0.6596
Epoch 10 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0043, Accuracy: 0.6553, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.9104	LR: 0.100000
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Training Epoch: 11 [24064/47500]	Loss: 0.9347	LR: 0.100000
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Training Epoch: 11 [24576/47500]	Loss: 1.0036	LR: 0.100000
Training Epoch: 11 [24832/47500]	Loss: 0.9762	LR: 0.100000
Training Epoch: 11 [25088/47500]	Loss: 0.9425	LR: 0.100000
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Training Epoch: 11 [29440/47500]	Loss: 1.0158	LR: 0.100000
Training Epoch: 11 [29696/47500]	Loss: 0.8965	LR: 0.100000
Training Epoch: 11 [29952/47500]	Loss: 1.0799	LR: 0.100000
Training Epoch: 11 [30208/47500]	Loss: 0.9108	LR: 0.100000
Training Epoch: 11 [30464/47500]	Loss: 0.9764	LR: 0.100000
Training Epoch: 11 [30720/47500]	Loss: 0.8691	LR: 0.100000
Training Epoch: 11 [30976/47500]	Loss: 1.0757	LR: 0.100000
Training Epoch: 11 [31232/47500]	Loss: 0.9421	LR: 0.100000
Training Epoch: 11 [31488/47500]	Loss: 0.9511	LR: 0.100000
Training Epoch: 11 [31744/47500]	Loss: 1.0277	LR: 0.100000
Training Epoch: 11 [32000/47500]	Loss: 0.8740	LR: 0.100000
Training Epoch: 11 [32256/47500]	Loss: 1.1113	LR: 0.100000
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Training Epoch: 11 [39168/47500]	Loss: 0.9971	LR: 0.100000
Training Epoch: 11 [39424/47500]	Loss: 1.1558	LR: 0.100000
Training Epoch: 11 [39680/47500]	Loss: 0.9265	LR: 0.100000
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Training Epoch: 11 [40192/47500]	Loss: 1.0072	LR: 0.100000
Training Epoch: 11 [40448/47500]	Loss: 1.0484	LR: 0.100000
Training Epoch: 11 [40704/47500]	Loss: 0.8486	LR: 0.100000
Training Epoch: 11 [40960/47500]	Loss: 1.0128	LR: 0.100000
Training Epoch: 11 [41216/47500]	Loss: 0.9759	LR: 0.100000
Training Epoch: 11 [41472/47500]	Loss: 0.9247	LR: 0.100000
Training Epoch: 11 [41728/47500]	Loss: 1.0602	LR: 0.100000
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Training Epoch: 11 [42496/47500]	Loss: 1.0286	LR: 0.100000
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Training Epoch: 11 [43008/47500]	Loss: 0.9343	LR: 0.100000
Training Epoch: 11 [43264/47500]	Loss: 1.0558	LR: 0.100000
Training Epoch: 11 [43520/47500]	Loss: 0.9705	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.1416	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.0392	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 1.0406	LR: 0.100000
Training Epoch: 11 [44544/47500]	Loss: 1.0338	LR: 0.100000
Training Epoch: 11 [44800/47500]	Loss: 1.1454	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 1.0420	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 1.0832	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 0.9362	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 0.9941	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.1314	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 0.9825	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 1.0419	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 0.8695	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 1.0070	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 0.9891	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 1.0233	LR: 0.100000
Epoch 11 - Average Train Loss: 0.9999, Train Accuracy: 0.6752
Epoch 11 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6105, Time consumed:0.89s
Training Epoch: 12 [256/47500]	Loss: 1.0518	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 0.9155	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 1.0134	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 0.8269	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 0.9084	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 0.9758	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 1.0235	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 0.9011	LR: 0.100000
Training Epoch: 12 [2304/47500]	Loss: 0.9918	LR: 0.100000
Training Epoch: 12 [2560/47500]	Loss: 0.9044	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 1.0081	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 0.9478	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 0.8862	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 0.9557	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 0.9466	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 0.8624	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 0.8689	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 0.8656	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 0.7621	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 0.8535	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 0.9229	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 0.9454	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 0.7836	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 1.0398	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 0.9467	LR: 0.100000
Training Epoch: 12 [6912/47500]	Loss: 0.9402	LR: 0.100000
Training Epoch: 12 [7168/47500]	Loss: 0.8849	LR: 0.100000
Training Epoch: 12 [7424/47500]	Loss: 0.9274	LR: 0.100000
Training Epoch: 12 [7680/47500]	Loss: 0.9126	LR: 0.100000
Training Epoch: 12 [7936/47500]	Loss: 0.8232	LR: 0.100000
Training Epoch: 12 [8192/47500]	Loss: 0.9122	LR: 0.100000
Training Epoch: 12 [8448/47500]	Loss: 0.9933	LR: 0.100000
Training Epoch: 12 [8704/47500]	Loss: 0.9634	LR: 0.100000
Training Epoch: 12 [8960/47500]	Loss: 0.9825	LR: 0.100000
Training Epoch: 12 [9216/47500]	Loss: 1.1179	LR: 0.100000
Training Epoch: 12 [9472/47500]	Loss: 0.9421	LR: 0.100000
Training Epoch: 12 [9728/47500]	Loss: 0.9242	LR: 0.100000
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Training Epoch: 12 [10752/47500]	Loss: 0.8194	LR: 0.100000
Training Epoch: 12 [11008/47500]	Loss: 1.0551	LR: 0.100000
Training Epoch: 12 [11264/47500]	Loss: 0.9432	LR: 0.100000
Training Epoch: 12 [11520/47500]	Loss: 1.0426	LR: 0.100000
Training Epoch: 12 [11776/47500]	Loss: 0.8723	LR: 0.100000
Training Epoch: 12 [12032/47500]	Loss: 1.0063	LR: 0.100000
Training Epoch: 12 [12288/47500]	Loss: 0.9782	LR: 0.100000
Training Epoch: 12 [12544/47500]	Loss: 1.0044	LR: 0.100000
Training Epoch: 12 [12800/47500]	Loss: 0.8039	LR: 0.100000
Training Epoch: 12 [13056/47500]	Loss: 0.9919	LR: 0.100000
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Training Epoch: 12 [24576/47500]	Loss: 0.8659	LR: 0.100000
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Training Epoch: 12 [26624/47500]	Loss: 0.9310	LR: 0.100000
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Training Epoch: 12 [27904/47500]	Loss: 1.0652	LR: 0.100000
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Training Epoch: 12 [28928/47500]	Loss: 0.8520	LR: 0.100000
Training Epoch: 12 [29184/47500]	Loss: 1.0212	LR: 0.100000
Training Epoch: 12 [29440/47500]	Loss: 0.9572	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 0.9952	LR: 0.100000
Training Epoch: 12 [29952/47500]	Loss: 1.0512	LR: 0.100000
Training Epoch: 12 [30208/47500]	Loss: 1.0149	LR: 0.100000
Training Epoch: 12 [30464/47500]	Loss: 1.0356	LR: 0.100000
Training Epoch: 12 [30720/47500]	Loss: 0.9951	LR: 0.100000
Training Epoch: 12 [30976/47500]	Loss: 1.0234	LR: 0.100000
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Training Epoch: 12 [31744/47500]	Loss: 0.9982	LR: 0.100000
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Training Epoch: 12 [36608/47500]	Loss: 1.0838	LR: 0.100000
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Training Epoch: 12 [37376/47500]	Loss: 1.0411	LR: 0.100000
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Training Epoch: 12 [38144/47500]	Loss: 0.9096	LR: 0.100000
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Training Epoch: 12 [38656/47500]	Loss: 1.1365	LR: 0.100000
Training Epoch: 12 [38912/47500]	Loss: 0.9462	LR: 0.100000
Training Epoch: 12 [39168/47500]	Loss: 1.0682	LR: 0.100000
Training Epoch: 12 [39424/47500]	Loss: 0.9888	LR: 0.100000
Training Epoch: 12 [39680/47500]	Loss: 1.0345	LR: 0.100000
Training Epoch: 12 [39936/47500]	Loss: 1.0228	LR: 0.100000
Training Epoch: 12 [40192/47500]	Loss: 1.1438	LR: 0.100000
Training Epoch: 12 [40448/47500]	Loss: 0.9925	LR: 0.100000
Training Epoch: 12 [40704/47500]	Loss: 1.0317	LR: 0.100000
Training Epoch: 12 [40960/47500]	Loss: 0.7511	LR: 0.100000
Training Epoch: 12 [41216/47500]	Loss: 0.9378	LR: 0.100000
Training Epoch: 12 [41472/47500]	Loss: 1.0425	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 1.0769	LR: 0.100000
Training Epoch: 12 [41984/47500]	Loss: 0.9253	LR: 0.100000
Training Epoch: 12 [42240/47500]	Loss: 0.9658	LR: 0.100000
Training Epoch: 12 [42496/47500]	Loss: 0.9863	LR: 0.100000
Training Epoch: 12 [42752/47500]	Loss: 0.9558	LR: 0.100000
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Training Epoch: 12 [43264/47500]	Loss: 0.9662	LR: 0.100000
Training Epoch: 12 [43520/47500]	Loss: 1.0449	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 1.1170	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 0.9186	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 0.9405	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 0.9145	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 0.9527	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.0256	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 1.0503	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 1.0616	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 0.9493	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 0.9641	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 0.9036	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 0.9939	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 0.9774	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 0.8912	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 0.9231	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 0.6573	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9564, Train Accuracy: 0.6909
Epoch 12 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0043, Accuracy: 0.6551, Time consumed:0.98s
Training Epoch: 13 [256/47500]	Loss: 0.9467	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 0.9283	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 0.8668	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 0.9196	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 0.8784	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 1.0600	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 0.9529	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 0.8320	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 0.8567	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 0.9168	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 0.9219	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 0.9112	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 0.8326	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 0.9653	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 0.9804	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 1.0509	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 0.9402	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 0.8873	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 0.9271	LR: 0.100000
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Training Epoch: 13 [19968/47500]	Loss: 1.0454	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 0.9845	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 0.9288	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 0.8425	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 0.9026	LR: 0.100000
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Training Epoch: 13 [21504/47500]	Loss: 1.0672	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 0.8675	LR: 0.100000
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Training Epoch: 13 [27904/47500]	Loss: 0.9494	LR: 0.100000
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Training Epoch: 13 [28416/47500]	Loss: 0.8761	LR: 0.100000
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Training Epoch: 13 [29952/47500]	Loss: 1.0191	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 0.9987	LR: 0.100000
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Training Epoch: 13 [31232/47500]	Loss: 0.8439	LR: 0.100000
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Training Epoch: 13 [31744/47500]	Loss: 0.9241	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 0.8723	LR: 0.100000
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Training Epoch: 13 [32512/47500]	Loss: 0.8562	LR: 0.100000
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Training Epoch: 13 [34816/47500]	Loss: 1.0209	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 0.7857	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9075	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 0.8525	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 1.0850	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 0.8901	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 0.9930	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0025	LR: 0.100000
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Training Epoch: 13 [37120/47500]	Loss: 0.8121	LR: 0.100000
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Training Epoch: 13 [37632/47500]	Loss: 0.8895	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 0.8659	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 1.0008	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 0.8377	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 0.9284	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 1.0237	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 1.0664	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9059	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.0090	LR: 0.100000
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Training Epoch: 13 [40192/47500]	Loss: 1.1259	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 0.9664	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 0.9613	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 0.9055	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9662	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.9383	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 1.0144	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.0817	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 1.0425	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 0.8794	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0400	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 0.8728	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9853	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 0.9225	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.0274	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 0.9014	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.9870	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 0.8203	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 0.8857	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 1.1056	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9134	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.8954	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.9681	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9981	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 0.9931	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.0870	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0565	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.0225	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.1469	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9314, Train Accuracy: 0.6957
Epoch 13 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0048, Accuracy: 0.6369, Time consumed:0.87s
Training Epoch: 14 [256/47500]	Loss: 0.7638	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.9156	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 0.7598	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 0.8930	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.8427	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.9540	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 1.0107	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8180	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 0.9244	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.8882	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 0.9700	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 0.8216	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 0.8482	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 0.8707	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.7077	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.8275	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 0.7401	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.8278	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.8209	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 0.8608	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 0.8630	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.8184	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 1.0976	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9137	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 0.9030	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.7340	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 0.8320	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 0.9477	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.8817	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 0.7383	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 0.8907	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 0.8766	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9774	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 0.8575	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 0.9140	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.7824	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 0.8082	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 1.0515	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.8217	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.8273	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9889	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 0.8949	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.8278	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.8021	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.8709	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.7316	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 0.9361	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.7670	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.8232	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.9082	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9090	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.8942	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 0.8867	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.8808	LR: 0.100000
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Training Epoch: 14 [14336/47500]	Loss: 0.8801	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 0.9240	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 0.8823	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 0.8552	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 0.9390	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 0.9421	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 0.8698	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.8580	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 0.9190	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 0.9094	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9516	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 0.9275	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.9601	LR: 0.100000
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Training Epoch: 14 [18176/47500]	Loss: 0.9717	LR: 0.100000
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Training Epoch: 14 [18944/47500]	Loss: 0.8696	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 0.8345	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 0.9136	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 0.8115	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 0.9766	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.8203	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 0.9415	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 0.9032	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 0.8649	LR: 0.100000
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Training Epoch: 14 [21504/47500]	Loss: 0.9832	LR: 0.100000
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Training Epoch: 14 [22016/47500]	Loss: 0.9538	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.8771	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 0.7584	LR: 0.100000
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Training Epoch: 14 [23040/47500]	Loss: 0.8420	LR: 0.100000
Training Epoch: 14 [23296/47500]	Loss: 0.9210	LR: 0.100000
Training Epoch: 14 [23552/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 14 [23808/47500]	Loss: 0.8216	LR: 0.100000
Training Epoch: 14 [24064/47500]	Loss: 0.9782	LR: 0.100000
Training Epoch: 14 [24320/47500]	Loss: 0.9474	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 0.8356	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 0.8350	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 0.8033	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 0.8872	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 0.9076	LR: 0.100000
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Training Epoch: 14 [26880/47500]	Loss: 0.9270	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 0.9065	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 0.7930	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 0.9573	LR: 0.100000
Training Epoch: 14 [27904/47500]	Loss: 0.7881	LR: 0.100000
Training Epoch: 14 [28160/47500]	Loss: 0.9125	LR: 0.100000
Training Epoch: 14 [28416/47500]	Loss: 1.0244	LR: 0.100000
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Training Epoch: 14 [29440/47500]	Loss: 0.8855	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.8723	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 0.8343	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.7783	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.9771	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 0.8165	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 0.9298	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 0.9034	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 0.9385	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 0.9610	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 1.0047	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 0.9270	LR: 0.100000
Training Epoch: 14 [32512/47500]	Loss: 0.9850	LR: 0.100000
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Training Epoch: 14 [33024/47500]	Loss: 0.9789	LR: 0.100000
Training Epoch: 14 [33280/47500]	Loss: 0.8586	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.8441	LR: 0.100000
Epoch 14 - Average Train Loss: 0.8921, Train Accuracy: 0.7128
Epoch 14 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0044, Accuracy: 0.6491, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.8382	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6373	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6592, Train Accuracy: 0.7852
Epoch 15 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7626, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.5692	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.4778	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5796, Train Accuracy: 0.8110
Epoch 16 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0029, Accuracy: 0.7675, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-16-best.pth
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Training Epoch: 17 [37120/47500]	Loss: 0.5669	LR: 0.020000
Training Epoch: 17 [37376/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 17 [37632/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 17 [37888/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 17 [38144/47500]	Loss: 0.5656	LR: 0.020000
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Training Epoch: 17 [38656/47500]	Loss: 0.6097	LR: 0.020000
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Training Epoch: 17 [39168/47500]	Loss: 0.4459	LR: 0.020000
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Training Epoch: 17 [39680/47500]	Loss: 0.6122	LR: 0.020000
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Training Epoch: 17 [40192/47500]	Loss: 0.6479	LR: 0.020000
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Training Epoch: 17 [40704/47500]	Loss: 0.7305	LR: 0.020000
Training Epoch: 17 [40960/47500]	Loss: 0.5736	LR: 0.020000
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Training Epoch: 17 [41984/47500]	Loss: 0.5039	LR: 0.020000
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Training Epoch: 17 [42496/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 17 [42752/47500]	Loss: 0.6127	LR: 0.020000
Training Epoch: 17 [43008/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 17 [43264/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 17 [43520/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 17 [43776/47500]	Loss: 0.6111	LR: 0.020000
Training Epoch: 17 [44032/47500]	Loss: 0.5861	LR: 0.020000
Training Epoch: 17 [44288/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 17 [44544/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 17 [44800/47500]	Loss: 0.6453	LR: 0.020000
Training Epoch: 17 [45056/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 17 [45312/47500]	Loss: 0.5227	LR: 0.020000
Training Epoch: 17 [45568/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 17 [45824/47500]	Loss: 0.6626	LR: 0.020000
Training Epoch: 17 [46080/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 17 [46336/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 17 [46592/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 17 [46848/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 17 [47104/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 17 [47360/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 17 [47500/47500]	Loss: 0.5292	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5405, Train Accuracy: 0.8237
Epoch 17 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0029, Accuracy: 0.7666, Time consumed:0.89s
Training Epoch: 18 [256/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 18 [512/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 18 [768/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 18 [1024/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 18 [1280/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 18 [1536/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 18 [1792/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 18 [2048/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 18 [2304/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [2560/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 18 [2816/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 18 [3072/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 18 [3328/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 18 [3584/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 18 [3840/47500]	Loss: 0.5671	LR: 0.020000
Training Epoch: 18 [4096/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 18 [4352/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 18 [4608/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 18 [4864/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 18 [5120/47500]	Loss: 0.4483	LR: 0.020000
Training Epoch: 18 [5376/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 18 [5632/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 18 [5888/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 18 [6144/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 18 [6400/47500]	Loss: 0.5277	LR: 0.020000
Training Epoch: 18 [6656/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 18 [6912/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 18 [7168/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 18 [7424/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 18 [7680/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 18 [7936/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 18 [8192/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 18 [8448/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 18 [8704/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 18 [8960/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 18 [9216/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 18 [9472/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 18 [9728/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 18 [9984/47500]	Loss: 0.5860	LR: 0.020000
Training Epoch: 18 [10240/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 18 [10496/47500]	Loss: 0.5600	LR: 0.020000
Training Epoch: 18 [10752/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 18 [11008/47500]	Loss: 0.5534	LR: 0.020000
Training Epoch: 18 [11264/47500]	Loss: 0.3966	LR: 0.020000
Training Epoch: 18 [11520/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 18 [11776/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 18 [12032/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 18 [12288/47500]	Loss: 0.4760	LR: 0.020000
Training Epoch: 18 [12544/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 18 [12800/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 18 [13056/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 18 [13312/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 18 [13568/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 18 [13824/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 18 [14080/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 18 [14336/47500]	Loss: 0.5392	LR: 0.020000
Training Epoch: 18 [14592/47500]	Loss: 0.4857	LR: 0.020000
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Training Epoch: 18 [15104/47500]	Loss: 0.4998	LR: 0.020000
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Training Epoch: 18 [15616/47500]	Loss: 0.4523	LR: 0.020000
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Training Epoch: 18 [20224/47500]	Loss: 0.5012	LR: 0.020000
Training Epoch: 18 [20480/47500]	Loss: 0.4955	LR: 0.020000
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Training Epoch: 18 [22528/47500]	Loss: 0.4881	LR: 0.020000
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Training Epoch: 18 [36352/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 18 [36608/47500]	Loss: 0.5841	LR: 0.020000
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Training Epoch: 18 [37120/47500]	Loss: 0.6100	LR: 0.020000
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Training Epoch: 18 [37888/47500]	Loss: 0.4869	LR: 0.020000
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Training Epoch: 18 [39424/47500]	Loss: 0.5119	LR: 0.020000
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Training Epoch: 18 [40192/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 18 [40448/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 18 [40704/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 18 [40960/47500]	Loss: 0.4857	LR: 0.020000
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Training Epoch: 18 [41728/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 18 [41984/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 18 [42240/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 18 [42496/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 18 [42752/47500]	Loss: 0.5887	LR: 0.020000
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Training Epoch: 18 [43264/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 18 [43520/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 18 [43776/47500]	Loss: 0.5653	LR: 0.020000
Training Epoch: 18 [44032/47500]	Loss: 0.6131	LR: 0.020000
Training Epoch: 18 [44288/47500]	Loss: 0.4792	LR: 0.020000
Training Epoch: 18 [44544/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 18 [44800/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 18 [45056/47500]	Loss: 0.5893	LR: 0.020000
Training Epoch: 18 [45312/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 18 [45568/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 18 [45824/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 18 [46080/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 18 [46336/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 18 [46592/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 18 [46848/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 18 [47104/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 18 [47360/47500]	Loss: 0.5963	LR: 0.020000
Training Epoch: 18 [47500/47500]	Loss: 0.5580	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5095, Train Accuracy: 0.8317
Epoch 18 training time consumed: 28.38s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0030, Accuracy: 0.7673, Time consumed:0.91s
Training Epoch: 19 [256/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 19 [512/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 19 [768/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 19 [1024/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 19 [1280/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 19 [1536/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 19 [1792/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 19 [2048/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 19 [2304/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 19 [2560/47500]	Loss: 0.5880	LR: 0.020000
Training Epoch: 19 [2816/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 19 [3072/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 19 [3328/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 19 [3584/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 19 [3840/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 19 [4096/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 19 [4352/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 19 [4608/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 19 [4864/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 19 [5120/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 19 [5376/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 19 [5632/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 19 [5888/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 19 [6144/47500]	Loss: 0.4930	LR: 0.020000
Training Epoch: 19 [6400/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 19 [6656/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 19 [6912/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 19 [7168/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 19 [7424/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 19 [7680/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 19 [7936/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 19 [8192/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 19 [8448/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 19 [8704/47500]	Loss: 0.4177	LR: 0.020000
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Training Epoch: 19 [10240/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 19 [10496/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 19 [10752/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 19 [11008/47500]	Loss: 0.4789	LR: 0.020000
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Training Epoch: 19 [11520/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 19 [11776/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 19 [12032/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 19 [12288/47500]	Loss: 0.4900	LR: 0.020000
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Training Epoch: 19 [12800/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 19 [13056/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 19 [13312/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 19 [13568/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.4647	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.5000	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4912, Train Accuracy: 0.8379
Epoch 19 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0030, Accuracy: 0.7731, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.4538	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.6849	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4701, Train Accuracy: 0.8441
Epoch 20 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7714, Time consumed:0.86s
Training Epoch: 21 [256/47500]	Loss: 0.3848	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.5275	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4470, Train Accuracy: 0.8522
Epoch 21 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0029, Accuracy: 0.7791, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-21-best.pth
Training Epoch: 22 [256/47500]	Loss: 0.3462	LR: 0.020000
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Epoch 22 - Average Train Loss: 0.4215, Train Accuracy: 0.8594
Epoch 22 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0029, Accuracy: 0.7839, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-22-best.pth
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Training Epoch: 23 [42752/47500]	Loss: 0.4043	LR: 0.020000
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Training Epoch: 23 [43264/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.4660	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.4010	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.3854	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.3284	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4164, Train Accuracy: 0.8629
Epoch 23 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0031, Accuracy: 0.7712, Time consumed:0.91s
Training Epoch: 24 [256/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.2936	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.3088	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.3233	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.2910	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.2836	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.3027	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.3320	LR: 0.020000
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Training Epoch: 24 [13312/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.3140	LR: 0.020000
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Training Epoch: 24 [14336/47500]	Loss: 0.3695	LR: 0.020000
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Training Epoch: 24 [14848/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 24 [15104/47500]	Loss: 0.4010	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.3496	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.4039	LR: 0.020000
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Training Epoch: 24 [17408/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 24 [17664/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.3258	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.4169	LR: 0.020000
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Training Epoch: 24 [19456/47500]	Loss: 0.3321	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.4507	LR: 0.020000
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Training Epoch: 24 [22528/47500]	Loss: 0.4545	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.4341	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.3886	LR: 0.020000
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Training Epoch: 24 [41984/47500]	Loss: 0.4692	LR: 0.020000
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Training Epoch: 24 [42496/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.4941	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.3640	LR: 0.020000
Epoch 24 - Average Train Loss: 0.3986, Train Accuracy: 0.8669
Epoch 24 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0031, Accuracy: 0.7712, Time consumed:0.87s
Training Epoch: 25 [256/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.2683	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.3387	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.3967	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.3172	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.3833	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.3407	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.3872	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.3888	LR: 0.020000
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Training Epoch: 25 [8192/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.3923	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.4165	LR: 0.020000
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Training Epoch: 25 [12032/47500]	Loss: 0.3291	LR: 0.020000
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Training Epoch: 25 [13568/47500]	Loss: 0.4516	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.3298	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.3415	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.3887	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.3909	LR: 0.020000
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Training Epoch: 25 [18176/47500]	Loss: 0.4462	LR: 0.020000
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Training Epoch: 25 [18688/47500]	Loss: 0.4734	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.3073	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.2334	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4143	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.3193	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.3950	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.2919	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.5000	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.3203	LR: 0.020000
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Training Epoch: 25 [27392/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.3096	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.3097	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.3151	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.3120	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.4937	LR: 0.020000
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Training Epoch: 25 [34560/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.3455	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.3454	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.2980	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.3968	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.3224	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3865, Train Accuracy: 0.8711
Epoch 25 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0031, Accuracy: 0.7754, Time consumed:0.88s
Training Epoch: 26 [256/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.2815	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.3245	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.3013	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.2562	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.3002	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.2867	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.3415	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.3892	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.3100	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.3754	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.3442	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.3430	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.3211	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.3942	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.2800	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.3160	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.3069	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.3311	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.3064	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.3275	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.3587	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.3144	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.3377	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.3393	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.3946	LR: 0.020000
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Training Epoch: 26 [32000/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.3255	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.3781	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.3362	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.3529	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.2935	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.4328	LR: 0.020000
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Training Epoch: 26 [42496/47500]	Loss: 0.4396	LR: 0.020000
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Training Epoch: 26 [43264/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 26 [43520/47500]	Loss: 0.3113	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.3941	LR: 0.020000
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Training Epoch: 26 [44288/47500]	Loss: 0.4902	LR: 0.020000
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Training Epoch: 26 [44800/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 26 [46592/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.3910	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3783, Train Accuracy: 0.8741
Epoch 26 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0034, Accuracy: 0.7604, Time consumed:0.87s
Training Epoch: 27 [256/47500]	Loss: 0.2981	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.2868	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3079	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.2831	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.3089	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.2926	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.2537	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.2658	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.2895	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.2708	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.3076	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.2720	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.3332	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.3057	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.3097	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.3179	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.3048	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.3141	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.2841	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.4055	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.2992	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.3141	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.3078	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.2717	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.2728	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.3081	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.2946	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.3737	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.3249	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.3888	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.2958	LR: 0.020000
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Training Epoch: 27 [31488/47500]	Loss: 0.3164	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.3929	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.3156	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.2987	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.4397	LR: 0.020000
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Training Epoch: 27 [33536/47500]	Loss: 0.4043	LR: 0.020000
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Training Epoch: 27 [34816/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.2792	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.3020	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.3236	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.3355	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.4269	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3614, Train Accuracy: 0.8806
Epoch 27 training time consumed: 28.37s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7396, Time consumed:0.92s
Training Epoch: 28 [256/47500]	Loss: 0.2502	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3017	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.3562	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.3152	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.2647	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.2939	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.3484	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.2775	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.3158	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.2800	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.2426	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.3075	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.2751	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.3346	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.2905	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.2735	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.2611	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.3216	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.3248	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.2845	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.2819	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.2361	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.2315	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.2932	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.3153	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.3488	LR: 0.020000
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Training Epoch: 28 [18176/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.3253	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.3214	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.3033	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.2936	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.2849	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.2915	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.2991	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.3100	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.2677	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.3919	LR: 0.020000
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Training Epoch: 28 [27392/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 28 [27648/47500]	Loss: 0.3064	LR: 0.020000
Training Epoch: 28 [27904/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.3781	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.3661	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.3080	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.3036	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.3128	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.3387	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.4107	LR: 0.020000
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Training Epoch: 28 [35328/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 28 [35584/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 28 [35840/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 28 [36864/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 28 [37120/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 28 [37632/47500]	Loss: 0.3263	LR: 0.020000
Training Epoch: 28 [37888/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 28 [38144/47500]	Loss: 0.4104	LR: 0.020000
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Training Epoch: 28 [38656/47500]	Loss: 0.3214	LR: 0.020000
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Training Epoch: 28 [39168/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.3301	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.5000	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 28 [40192/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.3384	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.3015	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.3059	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.3149	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.2928	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.4053	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3543, Train Accuracy: 0.8800
Epoch 28 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7732, Time consumed:1.01s
Training Epoch: 29 [256/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.3002	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.2351	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.2678	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.2637	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.2717	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.2795	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.2953	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.2862	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.2749	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.2729	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.2794	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.2746	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.2529	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.2875	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.2975	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.2512	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.2877	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.2933	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.2548	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.2176	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.3586	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.2809	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.2626	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.2706	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.2086	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 29 [14592/47500]	Loss: 0.3082	LR: 0.020000
Training Epoch: 29 [14848/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.2728	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.2610	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.3283	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.2796	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 29 [16896/47500]	Loss: 0.2277	LR: 0.020000
Training Epoch: 29 [17152/47500]	Loss: 0.3311	LR: 0.020000
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Training Epoch: 29 [17664/47500]	Loss: 0.3357	LR: 0.020000
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Training Epoch: 29 [18176/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 29 [18432/47500]	Loss: 0.2655	LR: 0.020000
Training Epoch: 29 [18688/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.3329	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.3044	LR: 0.020000
Training Epoch: 29 [19456/47500]	Loss: 0.2915	LR: 0.020000
Training Epoch: 29 [19712/47500]	Loss: 0.2553	LR: 0.020000
Training Epoch: 29 [19968/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.3577	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.3693	LR: 0.020000
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Training Epoch: 29 [21504/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 29 [21760/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 29 [22272/47500]	Loss: 0.2756	LR: 0.020000
Training Epoch: 29 [22528/47500]	Loss: 0.4057	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.3893	LR: 0.020000
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Training Epoch: 29 [24320/47500]	Loss: 0.2660	LR: 0.020000
Training Epoch: 29 [24576/47500]	Loss: 0.2962	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.2191	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.2853	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.3734	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.3130	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.2782	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 29 [31488/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 29 [31744/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 29 [33280/47500]	Loss: 0.3567	LR: 0.020000
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Training Epoch: 29 [35072/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 29 [35328/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.4072	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.2787	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.2982	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 29 [38144/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 29 [38400/47500]	Loss: 0.2841	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.3115	LR: 0.020000
Training Epoch: 29 [38912/47500]	Loss: 0.3903	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.2554	LR: 0.020000
Training Epoch: 29 [39680/47500]	Loss: 0.4848	LR: 0.020000
Training Epoch: 29 [39936/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 29 [40960/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 29 [41216/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 29 [41472/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.3479	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.2891	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.3253	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.4124	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.4574	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.2973	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.2941	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.2788	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.5805	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3399, Train Accuracy: 0.8869
Epoch 29 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0033, Accuracy: 0.7684, Time consumed:0.92s
Training Epoch: 30 [256/47500]	Loss: 0.2937	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.3208	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3690	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.2278	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.2952	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.1971	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2278, Train Accuracy: 0.9270
Epoch 30 training time consumed: 28.42s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8086, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.1688	LR: 0.004000
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Training Epoch: 31 [45824/47500]	Loss: 0.1593	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.2061	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.1566	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.2068	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1813, Train Accuracy: 0.9437
Epoch 31 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8129, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.1396	LR: 0.004000
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Training Epoch: 32 [46336/47500]	Loss: 0.2113	LR: 0.004000
Training Epoch: 32 [46592/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 32 [46848/47500]	Loss: 0.1389	LR: 0.004000
Training Epoch: 32 [47104/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 32 [47360/47500]	Loss: 0.1722	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.2496	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1614, Train Accuracy: 0.9521
Epoch 32 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8103, Time consumed:0.87s
Training Epoch: 33 [256/47500]	Loss: 0.2230	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.1993	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.1190	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.1663	LR: 0.004000
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Training Epoch: 33 [47500/47500]	Loss: 0.1251	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1513, Train Accuracy: 0.9543
Epoch 33 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0027, Accuracy: 0.8136, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-33-best.pth
Training Epoch: 34 [256/47500]	Loss: 0.1389	LR: 0.004000
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Training Epoch: 34 [30976/47500]	Loss: 0.1244	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.1611	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.0845	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.1443	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 34 [32256/47500]	Loss: 0.1054	LR: 0.004000
Training Epoch: 34 [32512/47500]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [32768/47500]	Loss: 0.1310	LR: 0.004000
Training Epoch: 34 [33024/47500]	Loss: 0.1010	LR: 0.004000
Training Epoch: 34 [33280/47500]	Loss: 0.1238	LR: 0.004000
Training Epoch: 34 [33536/47500]	Loss: 0.1412	LR: 0.004000
Training Epoch: 34 [33792/47500]	Loss: 0.1230	LR: 0.004000
Training Epoch: 34 [34048/47500]	Loss: 0.1332	LR: 0.004000
Training Epoch: 34 [34304/47500]	Loss: 0.1612	LR: 0.004000
Training Epoch: 34 [34560/47500]	Loss: 0.1345	LR: 0.004000
Training Epoch: 34 [34816/47500]	Loss: 0.1671	LR: 0.004000
Training Epoch: 34 [35072/47500]	Loss: 0.1879	LR: 0.004000
Training Epoch: 34 [35328/47500]	Loss: 0.1900	LR: 0.004000
Training Epoch: 34 [35584/47500]	Loss: 0.1188	LR: 0.004000
Training Epoch: 34 [35840/47500]	Loss: 0.1400	LR: 0.004000
Training Epoch: 34 [36096/47500]	Loss: 0.1546	LR: 0.004000
Training Epoch: 34 [36352/47500]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [36608/47500]	Loss: 0.1233	LR: 0.004000
Training Epoch: 34 [36864/47500]	Loss: 0.1550	LR: 0.004000
Training Epoch: 34 [37120/47500]	Loss: 0.1153	LR: 0.004000
Training Epoch: 34 [37376/47500]	Loss: 0.1112	LR: 0.004000
Training Epoch: 34 [37632/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 34 [37888/47500]	Loss: 0.1170	LR: 0.004000
Training Epoch: 34 [38144/47500]	Loss: 0.1320	LR: 0.004000
Training Epoch: 34 [38400/47500]	Loss: 0.1743	LR: 0.004000
Training Epoch: 34 [38656/47500]	Loss: 0.1445	LR: 0.004000
Training Epoch: 34 [38912/47500]	Loss: 0.1307	LR: 0.004000
Training Epoch: 34 [39168/47500]	Loss: 0.1925	LR: 0.004000
Training Epoch: 34 [39424/47500]	Loss: 0.1491	LR: 0.004000
Training Epoch: 34 [39680/47500]	Loss: 0.1088	LR: 0.004000
Training Epoch: 34 [39936/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 34 [40192/47500]	Loss: 0.1383	LR: 0.004000
Training Epoch: 34 [40448/47500]	Loss: 0.1622	LR: 0.004000
Training Epoch: 34 [40704/47500]	Loss: 0.1176	LR: 0.004000
Training Epoch: 34 [40960/47500]	Loss: 0.1351	LR: 0.004000
Training Epoch: 34 [41216/47500]	Loss: 0.0775	LR: 0.004000
Training Epoch: 34 [41472/47500]	Loss: 0.1394	LR: 0.004000
Training Epoch: 34 [41728/47500]	Loss: 0.1146	LR: 0.004000
Training Epoch: 34 [41984/47500]	Loss: 0.1303	LR: 0.004000
Training Epoch: 34 [42240/47500]	Loss: 0.1640	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.1277	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.1652	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.1492	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.1591	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.0908	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.1497	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.1571	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.2009	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.1540	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.1455	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.1868	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.1420	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.1296	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.1572	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.1516	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.1160	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.1097	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.1431	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.1282	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.1790	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1367, Train Accuracy: 0.9594
Epoch 34 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8082, Time consumed:0.90s
Training Epoch: 35 [256/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.1719	LR: 0.000800
Training Epoch: 35 [768/47500]	Loss: 0.1268	LR: 0.000800
Training Epoch: 35 [1024/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.1534	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.1821	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.1333	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.1602	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.1273	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.1825	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.0912	LR: 0.000800
Training Epoch: 35 [3328/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 35 [3584/47500]	Loss: 0.1870	LR: 0.000800
Training Epoch: 35 [3840/47500]	Loss: 0.1370	LR: 0.000800
Training Epoch: 35 [4096/47500]	Loss: 0.1385	LR: 0.000800
Training Epoch: 35 [4352/47500]	Loss: 0.1560	LR: 0.000800
Training Epoch: 35 [4608/47500]	Loss: 0.1352	LR: 0.000800
Training Epoch: 35 [4864/47500]	Loss: 0.1453	LR: 0.000800
Training Epoch: 35 [5120/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.1030	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.1129	LR: 0.000800
Training Epoch: 35 [6912/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 35 [7168/47500]	Loss: 0.0812	LR: 0.000800
Training Epoch: 35 [7424/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 35 [7680/47500]	Loss: 0.1542	LR: 0.000800
Training Epoch: 35 [7936/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 35 [8192/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 35 [8448/47500]	Loss: 0.1581	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.1806	LR: 0.000800
Training Epoch: 35 [9728/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 35 [9984/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 35 [10240/47500]	Loss: 0.1303	LR: 0.000800
Training Epoch: 35 [10496/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 35 [10752/47500]	Loss: 0.1002	LR: 0.000800
Training Epoch: 35 [11008/47500]	Loss: 0.1463	LR: 0.000800
Training Epoch: 35 [11264/47500]	Loss: 0.1247	LR: 0.000800
Training Epoch: 35 [11520/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 35 [11776/47500]	Loss: 0.1072	LR: 0.000800
Training Epoch: 35 [12032/47500]	Loss: 0.1526	LR: 0.000800
Training Epoch: 35 [12288/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [12800/47500]	Loss: 0.1039	LR: 0.000800
Training Epoch: 35 [13056/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 35 [13312/47500]	Loss: 0.1622	LR: 0.000800
Training Epoch: 35 [13568/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 35 [13824/47500]	Loss: 0.1107	LR: 0.000800
Training Epoch: 35 [14080/47500]	Loss: 0.1248	LR: 0.000800
Training Epoch: 35 [14336/47500]	Loss: 0.1292	LR: 0.000800
Training Epoch: 35 [14592/47500]	Loss: 0.1274	LR: 0.000800
Training Epoch: 35 [14848/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 35 [15104/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 35 [15360/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 35 [15616/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 35 [15872/47500]	Loss: 0.0806	LR: 0.000800
Training Epoch: 35 [16128/47500]	Loss: 0.1193	LR: 0.000800
Training Epoch: 35 [16384/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 35 [16640/47500]	Loss: 0.1335	LR: 0.000800
Training Epoch: 35 [16896/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 35 [17152/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 35 [17408/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 35 [17664/47500]	Loss: 0.1518	LR: 0.000800
Training Epoch: 35 [17920/47500]	Loss: 0.0825	LR: 0.000800
Training Epoch: 35 [18176/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 35 [18432/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 35 [18688/47500]	Loss: 0.1290	LR: 0.000800
Training Epoch: 35 [18944/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [19200/47500]	Loss: 0.1266	LR: 0.000800
Training Epoch: 35 [19456/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 35 [19712/47500]	Loss: 0.1297	LR: 0.000800
Training Epoch: 35 [19968/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 35 [20224/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 35 [20480/47500]	Loss: 0.1567	LR: 0.000800
Training Epoch: 35 [20736/47500]	Loss: 0.1412	LR: 0.000800
Training Epoch: 35 [20992/47500]	Loss: 0.0854	LR: 0.000800
Training Epoch: 35 [21248/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 35 [21504/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 35 [21760/47500]	Loss: 0.1369	LR: 0.000800
Training Epoch: 35 [22016/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 35 [22272/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 35 [22528/47500]	Loss: 0.1289	LR: 0.000800
Training Epoch: 35 [22784/47500]	Loss: 0.1565	LR: 0.000800
Training Epoch: 35 [23040/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 35 [23296/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 35 [23552/47500]	Loss: 0.1624	LR: 0.000800
Training Epoch: 35 [23808/47500]	Loss: 0.1274	LR: 0.000800
Training Epoch: 35 [24064/47500]	Loss: 0.1023	LR: 0.000800
Training Epoch: 35 [24320/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 35 [24576/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [24832/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 35 [25088/47500]	Loss: 0.1469	LR: 0.000800
Training Epoch: 35 [25344/47500]	Loss: 0.1025	LR: 0.000800
Training Epoch: 35 [25600/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 35 [25856/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 35 [26112/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 35 [26368/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 35 [26624/47500]	Loss: 0.0797	LR: 0.000800
Training Epoch: 35 [26880/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 35 [27136/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 35 [27392/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 35 [27648/47500]	Loss: 0.1338	LR: 0.000800
Training Epoch: 35 [27904/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 35 [28160/47500]	Loss: 0.1284	LR: 0.000800
Training Epoch: 35 [28416/47500]	Loss: 0.0878	LR: 0.000800
Training Epoch: 35 [28672/47500]	Loss: 0.1361	LR: 0.000800
Training Epoch: 35 [28928/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 35 [29184/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 35 [29440/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 35 [29696/47500]	Loss: 0.1197	LR: 0.000800
Training Epoch: 35 [29952/47500]	Loss: 0.1145	LR: 0.000800
Training Epoch: 35 [30208/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 35 [30464/47500]	Loss: 0.1423	LR: 0.000800
Training Epoch: 35 [30720/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 35 [30976/47500]	Loss: 0.1587	LR: 0.000800
Training Epoch: 35 [31232/47500]	Loss: 0.1033	LR: 0.000800
Training Epoch: 35 [31488/47500]	Loss: 0.1101	LR: 0.000800
Training Epoch: 35 [31744/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 35 [32000/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [32256/47500]	Loss: 0.0826	LR: 0.000800
Training Epoch: 35 [32512/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 35 [32768/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 35 [33024/47500]	Loss: 0.1206	LR: 0.000800
Training Epoch: 35 [33280/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 35 [33536/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 35 [33792/47500]	Loss: 0.1369	LR: 0.000800
Training Epoch: 35 [34048/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [34304/47500]	Loss: 0.0856	LR: 0.000800
Training Epoch: 35 [34560/47500]	Loss: 0.1629	LR: 0.000800
Training Epoch: 35 [34816/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [35072/47500]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [35328/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 35 [35584/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 35 [35840/47500]	Loss: 0.1294	LR: 0.000800
Training Epoch: 35 [36096/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 35 [36352/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 35 [36608/47500]	Loss: 0.1309	LR: 0.000800
Training Epoch: 35 [36864/47500]	Loss: 0.1582	LR: 0.000800
Training Epoch: 35 [37120/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 35 [37376/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 35 [37632/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 35 [37888/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 35 [38144/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 35 [38400/47500]	Loss: 0.1331	LR: 0.000800
Training Epoch: 35 [38656/47500]	Loss: 0.1213	LR: 0.000800
Training Epoch: 35 [38912/47500]	Loss: 0.1784	LR: 0.000800
Training Epoch: 35 [39168/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 35 [39424/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 35 [39680/47500]	Loss: 0.1198	LR: 0.000800
Training Epoch: 35 [39936/47500]	Loss: 0.1152	LR: 0.000800
Training Epoch: 35 [40192/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 35 [40448/47500]	Loss: 0.1286	LR: 0.000800
Training Epoch: 35 [40704/47500]	Loss: 0.1698	LR: 0.000800
Training Epoch: 35 [40960/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 35 [41216/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 35 [41472/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 35 [41728/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 35 [41984/47500]	Loss: 0.1178	LR: 0.000800
Training Epoch: 35 [42240/47500]	Loss: 0.1415	LR: 0.000800
Training Epoch: 35 [42496/47500]	Loss: 0.1683	LR: 0.000800
Training Epoch: 35 [42752/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 35 [43008/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 35 [43264/47500]	Loss: 0.1359	LR: 0.000800
Training Epoch: 35 [43520/47500]	Loss: 0.2185	LR: 0.000800
Training Epoch: 35 [43776/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 35 [44032/47500]	Loss: 0.1409	LR: 0.000800
Training Epoch: 35 [44288/47500]	Loss: 0.0948	LR: 0.000800
Training Epoch: 35 [44544/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 35 [44800/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.1346	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.1245	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.0923	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.1111	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.1109	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.1447	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.1483	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.0547	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1223, Train Accuracy: 0.9641
Epoch 35 training time consumed: 28.48s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8134, Time consumed:0.91s
Training Epoch: 36 [256/47500]	Loss: 0.1150	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.1028	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 36 [2304/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 36 [2560/47500]	Loss: 0.0986	LR: 0.000800
Training Epoch: 36 [2816/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 36 [3328/47500]	Loss: 0.1116	LR: 0.000800
Training Epoch: 36 [3584/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [3840/47500]	Loss: 0.1446	LR: 0.000800
Training Epoch: 36 [4096/47500]	Loss: 0.1366	LR: 0.000800
Training Epoch: 36 [4352/47500]	Loss: 0.1447	LR: 0.000800
Training Epoch: 36 [4608/47500]	Loss: 0.1683	LR: 0.000800
Training Epoch: 36 [4864/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 36 [5120/47500]	Loss: 0.1312	LR: 0.000800
Training Epoch: 36 [5376/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [5632/47500]	Loss: 0.1397	LR: 0.000800
Training Epoch: 36 [5888/47500]	Loss: 0.0819	LR: 0.000800
Training Epoch: 36 [6144/47500]	Loss: 0.1656	LR: 0.000800
Training Epoch: 36 [6400/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 36 [6656/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 36 [6912/47500]	Loss: 0.1137	LR: 0.000800
Training Epoch: 36 [7168/47500]	Loss: 0.1004	LR: 0.000800
Training Epoch: 36 [7424/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [7680/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 36 [7936/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 36 [8192/47500]	Loss: 0.0805	LR: 0.000800
Training Epoch: 36 [8448/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.1148	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.0745	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.1117	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.0841	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.1063	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.1049	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.0835	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.1450	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.1512	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.1442	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.0696	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.1668	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.1885	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.1342	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.1341	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.1348	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.0861	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.1356	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.1281	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.1436	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.0911	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.1569	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.1270	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.1710	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.1185	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.0967	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.1186	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.0889	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.1102	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.1971	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.1015	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.1563	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.1339	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.1391	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.1052	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.1476	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.1217	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.1414	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.0878	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.1476	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.1187	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.1432	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.0872	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.0833	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.0874	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.1359	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.1792	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.1175	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.1646	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.1184	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.1305	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.1027	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.1487	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.0809	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.1256	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.0920	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.1275	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.1828	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.1403	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.1196	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.0978	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.1722	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.1058	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.1239	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.0896	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.1599	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.1244	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.1591	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.1435	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.1095	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.1380	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.1236	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.0906	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.1272	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.1289	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.1844	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1161, Train Accuracy: 0.9660
Epoch 36 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8134, Time consumed:0.87s
Training Epoch: 37 [256/47500]	Loss: 0.1430	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.0828	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.0659	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.1405	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.1228	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.0935	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.0985	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.1414	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.1124	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.0836	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.1352	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.1314	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.1141	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.1332	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.1394	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.1360	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.1246	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.1595	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.1081	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.0802	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.1157	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.1242	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.1127	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.1492	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.1065	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.1320	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.1262	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.1132	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.0710	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.1345	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.1350	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.1241	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.1016	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.0721	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.1287	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.1000	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.1254	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.1222	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.0814	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.1978	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.0852	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.1522	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.0707	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.0913	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.1195	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.1220	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.0960	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.1165	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.1163	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.1009	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.0917	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.0808	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.1609	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.1928	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.1347	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.0814	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.0870	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.0934	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.1452	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.0736	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.0963	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.1317	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.0926	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.0670	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.1086	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.0800	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.1180	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.1495	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.1955	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.1406	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.1327	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.0919	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.0942	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.0977	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.1336	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.1397	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.0882	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.1253	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.1285	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.1271	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.1478	LR: 0.000800
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Training Epoch: 37 [39168/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.1173	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.0748	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.0944	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.1438	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.1068	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.1192	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.1022	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.0907	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.1410	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.1408	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.1521	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.1433	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.0703	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.1235	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.0743	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.1014	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.1470	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.1092	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.1452	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.1166	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.0894	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.0660	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.0910	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.0790	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.1027	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1108, Train Accuracy: 0.9683
Epoch 37 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0027, Accuracy: 0.8127, Time consumed:1.02s
Training Epoch: 38 [256/47500]	Loss: 0.1063	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.0954	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.1593	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.0930	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.0918	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.1038	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.1324	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.1455	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.0512	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.1053	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.0981	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.0933	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.1231	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.1045	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.1156	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.1147	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.1140	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.1493	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.0850	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.1104	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.1400	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.0725	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.1340	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.0982	LR: 0.000800
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Training Epoch: 38 [9216/47500]	Loss: 0.1519	LR: 0.000800
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Training Epoch: 38 [9728/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.0984	LR: 0.000800
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Training Epoch: 38 [10496/47500]	Loss: 0.1381	LR: 0.000800
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Training Epoch: 38 [11008/47500]	Loss: 0.1315	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.0862	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.1683	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.1076	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.1006	LR: 0.000800
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Training Epoch: 38 [13312/47500]	Loss: 0.1035	LR: 0.000800
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Training Epoch: 38 [13824/47500]	Loss: 0.1032	LR: 0.000800
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Training Epoch: 38 [16640/47500]	Loss: 0.1268	LR: 0.000800
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Training Epoch: 38 [20736/47500]	Loss: 0.0887	LR: 0.000800
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Training Epoch: 38 [26880/47500]	Loss: 0.1332	LR: 0.000800
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Training Epoch: 38 [35840/47500]	Loss: 0.1306	LR: 0.000800
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Training Epoch: 38 [37120/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.1227	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.1355	LR: 0.000800
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Training Epoch: 38 [41472/47500]	Loss: 0.1291	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.0836	LR: 0.000800
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Training Epoch: 38 [42496/47500]	Loss: 0.1027	LR: 0.000800
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Training Epoch: 38 [43264/47500]	Loss: 0.0931	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.0747	LR: 0.000800
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Training Epoch: 38 [44032/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.0767	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.0689	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.0761	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.1073	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.1470	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.1277	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.1135	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.0893	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.1250	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.0720	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.1080	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.1676	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1078, Train Accuracy: 0.9692
Epoch 38 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0027, Accuracy: 0.8143, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_14_July_2025_18h_47m_32s/ResNet18-Cifar20-seed3-ret50-38-best.pth
Training Epoch: 39 [256/47500]	Loss: 0.1260	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.1214	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.0843	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.1607	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.0749	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.1552	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.1515	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.1297	LR: 0.000800
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Training Epoch: 39 [2560/47500]	Loss: 0.1028	LR: 0.000800
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Training Epoch: 39 [5376/47500]	Loss: 0.1011	LR: 0.000800
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Training Epoch: 39 [6656/47500]	Loss: 0.1011	LR: 0.000800
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Training Epoch: 39 [10240/47500]	Loss: 0.0991	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.1340	LR: 0.000800
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Training Epoch: 39 [12032/47500]	Loss: 0.1533	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.1417	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.0955	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.0984	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.0885	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.1307	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.1362	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.0699	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.0801	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.0982	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.1179	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.0881	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.1048	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.1108	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.1201	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.1289	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.1082	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.0818	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.1155	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.0921	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.0763	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.0813	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.0898	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.1504	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.1276	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.0929	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.0831	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.0876	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.1431	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.1059	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.1278	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.1105	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.0886	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.1069	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.1189	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.1280	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.0792	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.1047	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.1044	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.1325	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.0842	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.1556	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.0804	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.0892	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.1437	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.1424	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.0732	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.0844	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.1464	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.1778	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.0652	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.1209	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.1075	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.1304	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.1419	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.1046	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.0829	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.1091	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.0863	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.1143	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.0949	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.1303	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.1664	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.1717	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.1376	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.1171	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.0915	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.0701	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.1153	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.1423	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.1120	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.0777	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.0952	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.1093	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.1351	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.1139	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.0820	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.1054	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.0693	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.1126	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.0768	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.1119	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.0786	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.1413	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.1077	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.1354	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.0941	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.1390	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.1045	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1083, Train Accuracy: 0.9687
Epoch 39 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8121, Time consumed:0.89s
Training Epoch: 40 [256/47500]	Loss: 0.1575	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.1087	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.0914	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.0844	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.0966	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.1010	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.0737	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.1103	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.0853	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.1224	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.1060	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.0641	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.1019	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.0699	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.0983	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.1214	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.0717	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.0989	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.1212	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.0876	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.0926	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.1183	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.1265	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.1007	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.0549	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.1021	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.0937	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.1018	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.0841	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.1207	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.1302	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.1301	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.0816	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.1064	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.0884	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.0810	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.1125	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.1383	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.1479	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.1123	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.0717	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.1190	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.0895	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.0732	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.0988	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.1194	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.0611	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.1043	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.1584	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.1505	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.1062	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.0722	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.0682	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.0918	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.1249	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.0987	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.1230	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.0786	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.1374	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.1451	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.0838	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.1257	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.0951	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.1088	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.0975	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.0791	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.0794	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.0545	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.0880	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.1252	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.0868	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.0865	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.1020	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.1055	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.1167	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.1187	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.1263	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.1200	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.1226	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.1029	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.1079	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.1466	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.0860	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.0700	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.1299	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.0642	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.0936	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.1032	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.1364	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.0832	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.1110	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.1067	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.1182	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.1036	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1056	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.0846	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.0992	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.1169	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.1420	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.0811	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.1219	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.1158	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.1221	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.0891	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.0902	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.1162	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.1237	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.0973	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.1240	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.0680	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.1005	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.1078	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.0583	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.1177	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.1176	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.0940	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.1188	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.0787	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.0938	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.1357	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.1113	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.1389	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.0726	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.1121	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.1094	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.0840	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.0873	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1673	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.0976	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.0996	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.0452	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.1358	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.1211	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.0648	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.0939	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.1130	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.1168	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.1149	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.1037	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.1339	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.1134	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.1282	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.1122	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.1219	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1041, Train Accuracy: 0.9705
Epoch 40 training time consumed: 28.56s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8116, Time consumed:0.87s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.455078125
Retain Accuracy: 97.53095245361328
Zero-Retain Forget (ZRF): 0.9033936262130737
Membership Inference Attack (MIA): 0.5872
Forget vs Retain Membership Inference Attack (MIA): 0.576
Forget vs Test Membership Inference Attack (MIA): 0.538
Test vs Retain Membership Inference Attack (MIA): 0.5595
Train vs Test Membership Inference Attack (MIA): 0.596
Forget Set Accuracy (Df): 78.55389404296875
Method Execution Time: 2118.59 seconds
