经典CNN轻量级网络之shuffleNet v1 对厨余垃圾8分类数据集的分类任务

[train hyper-parameters: Namespace(batch_size=16, epochs=100)] [epoch: 1] train loss:0.1188 test accuracy:0.4343 [epoch: 2] train loss:0.1103 test accuracy:0.4343 [epoch: 3] train loss:0.0990 test accuracy:0.4963 [epoch: 4] train loss:0.0994 test accuracy:0.3796 [epoch: 5] train loss:0.0931 test accuracy:0.5643 [epoch: 6] train loss:0.0847 test accuracy:0.5687 [epoch: 7] train loss:0.0815 test accuracy:0.5377 [epoch: 8] train loss:0.0781 test accuracy:0.5835 [epoch: 9] train loss:0.0738 test accuracy:0.5643 [epoch: 10] train loss:0.0730 test accuracy:0.5938 [epoch: 11] train loss:0.0666 test accuracy:0.5347 [epoch: 12] train loss:0.0648 test accuracy:0.6263 [epoch: 13] train loss:0.0600 test accuracy:0.5775 [epoch: 14] train loss:0.0572 test accuracy:0.5938 [epoch: 15] train loss:0.0511 test accuracy:0.6219 [epoch: 16] train loss:0.0503 test accuracy:0.6470 [epoch: 17] train loss:0.0474 test accuracy:0.6366 [epoch: 18] train loss:0.0435 test accuracy:0.5879 [epoch: 19] train loss:0.0409 test accuracy:0.6322 [epoch: 20] train loss:0.0373 test accuracy:0.6174 [epoch: 21] train loss:0.0377 test accuracy:0.6189 [epoch: 22] train loss:0.0346 test accuracy:0.5716 [epoch: 23] train loss:0.0301 test accuracy:0.6219 [epoch: 24] train loss:0.0254 test accuracy:0.5761 [epoch: 25] train loss:0.0244 test accuracy:0.6514 [epoch: 26] train loss:0.0246 test accuracy:0.6041 [epoch: 27] train loss:0.0224 test accuracy:0.6115 [epoch: 28] train loss:0.0208 test accuracy:0.6455 [epoch: 29] train loss:0.0184 test accuracy:0.6145 [epoch: 30] train loss:0.0158 test accuracy:0.6322 [epoch: 31] train loss:0.0159 test accuracy:0.6130 [epoch: 32] train loss:0.0162 test accuracy:0.5746 [epoch: 33] train loss:0.0162 test accuracy:0.6041 [epoch: 34] train loss:0.0130 test accuracy:0.6470 [epoch: 35] train loss:0.0157 test accuracy:0.6219 [epoch: 36] train loss:0.0104 test accuracy:0.6337 [epoch: 37] train loss:0.0149 test accuracy:0.6086 [epoch: 38] train loss:0.0107 test accuracy:0.6337 [epoch: 39] train loss:0.0114 test accuracy:0.6027 [epoch: 40] train loss:0.0109 test accuracy:0.5953 [epoch: 41] train loss:0.0096 test accuracy:0.6352 [epoch: 42] train loss:0.0118 test accuracy:0.5894 [epoch: 43] train loss:0.0114 test accuracy:0.6278 [epoch: 44] train loss:0.0114 test accuracy:0.6145 [epoch: 45] train loss:0.0082 test accuracy:0.6204 [epoch: 46] train loss:0.0083 test accuracy:0.5849 [epoch: 47] train loss:0.0098 test accuracy:0.5894 [epoch: 48] train loss:0.0116 test accuracy:0.6086 [epoch: 49] train loss:0.0082 test accuracy:0.6012 [epoch: 50] train loss:0.0096 test accuracy:0.6233 [epoch: 51] train loss:0.0087 test accuracy:0.6292 [epoch: 52] train loss:0.0078 test accuracy:0.6056 [epoch: 53] train loss:0.0081 test accuracy:0.5894 [epoch: 54] train loss:0.0089 test accuracy:0.6056 [epoch: 55] train loss:0.0065 test accuracy:0.5864 [epoch: 56] train loss:0.0089 test accuracy:0.6278 [epoch: 57] train loss:0.0084 test accuracy:0.6352 [epoch: 58] train loss:0.0084 test accuracy:0.6100 [epoch: 59] train loss:0.0068 test accuracy:0.6189 [epoch: 60] train loss:0.0080 test accuracy:0.6012 [epoch: 61] train loss:0.0086 test accuracy:0.6440 [epoch: 62] train loss:0.0082 test accuracy:0.5864 [epoch: 63] train loss:0.0053 test accuracy:0.6160 [epoch: 64] train loss:0.0054 test accuracy:0.6233 [epoch: 65] train loss:0.0083 test accuracy:0.6322 [epoch: 66] train loss:0.0068 test accuracy:0.5820 [epoch: 67] train loss:0.0039 test accuracy:0.6027 [epoch: 68] train loss:0.0080 test accuracy:0.5672 [epoch: 69] train loss:0.0073 test accuracy:0.6086 [epoch: 70] train loss:0.0066 test accuracy:0.5938 [epoch: 71] train loss:0.0071 test accuracy:0.5938 [epoch: 72] train loss:0.0051 test accuracy:0.6130 [epoch: 73] train loss:0.0075 test accuracy:0.6086 [epoch: 74] train loss:0.0078 test accuracy:0.6012 [epoch: 75] train loss:0.0048 test accuracy:0.6278 [epoch: 76] train loss:0.0046 test accuracy:0.6100 [epoch: 77] train loss:0.0035 test accuracy:0.6041 [epoch: 78] train loss:0.0050 test accuracy:0.6233 [epoch: 79] train loss:0.0065 test accuracy:0.6233 [epoch: 80] train loss:0.0084 test accuracy:0.5879 [epoch: 81] train loss:0.0066 test accuracy:0.5820 [epoch: 82] train loss:0.0053 test accuracy:0.6278 [epoch: 83] train loss:0.0064 test accuracy:0.6056 [epoch: 84] train loss:0.0055 test accuracy:0.6145 [epoch: 85] train loss:0.0064 test accuracy:0.5894 [epoch: 86] train loss:0.0042 test accuracy:0.6455 [epoch: 87] train loss:0.0050 test accuracy:0.6130 [epoch: 88] train loss:0.0072 test accuracy:0.6071 [epoch: 89] train loss:0.0056 test accuracy:0.5968 [epoch: 90] train loss:0.0046 test accuracy:0.6071 [epoch: 91] train loss:0.0045 test accuracy:0.5598 [epoch: 92] train loss:0.0054 test accuracy:0.6484 [epoch: 93] train loss:0.0065 test accuracy:0.6086 [epoch: 94] train loss:0.0068 test accuracy:0.6145 [epoch: 95] train loss:0.0038 test accuracy:0.6292 [epoch: 96] train loss:0.0042 test accuracy:0.6278 [epoch: 97] train loss:0.0052 test accuracy:0.6086 [epoch: 98] train loss:0.0044 test accuracy:0.6100 [epoch: 99] train loss:0.0063 test accuracy:0.6086 [epoch: 100] train loss:0.0062 test accuracy:0.6160