WTAGRAPH.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "machine_shape": "hm"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "premium"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xeqbWvKyhS2t",
        "outputId": "ae257c01-0b27-482b-8ba9-d5e6bd7fb5e6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd /content/drive/MyDrive/WTAGRAPH/IEEE_SP_2022_WtaGraph/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uM5gTZ1MjEGq",
        "outputId": "e2454651-51f8-427d-b336-bb1edd5d88d3"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/WTAGRAPH/IEEE_SP_2022_WtaGraph\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install --pre dgl -f https://data.dgl.ai/wheels/cu117/repo.html"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5kAal0ellYe5",
        "outputId": "0134fda2-8440-40e3-a2ff-cf99a2fd75b5"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Looking in links: https://data.dgl.ai/wheels/cu117/repo.html\n",
            "Collecting dgl\n",
            "  Downloading https://data.dgl.ai/wheels/cu117/dgl-1.0.2%2Bcu117-cp39-cp39-manylinux1_x86_64.whl (266.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m266.5/266.5 MB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.9/dist-packages (from dgl) (1.22.4)\n",
            "Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.9/dist-packages (from dgl) (1.10.1)\n",
            "Requirement already satisfied: psutil>=5.8.0 in /usr/local/lib/python3.9/dist-packages (from dgl) (5.9.4)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.9/dist-packages (from dgl) (4.65.0)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.9/dist-packages (from dgl) (2.27.1)\n",
            "Requirement already satisfied: networkx>=2.1 in /usr/local/lib/python3.9/dist-packages (from dgl) (3.1)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->dgl) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->dgl) (3.4)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->dgl) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->dgl) (2022.12.7)\n",
            "Installing collected packages: dgl\n",
            "Successfully installed dgl-1.0.2+cu117\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py --graph_name rand5k --gpu 0 --n-layers 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S-_avrbXlo-d",
        "outputId": "a65a9eaa-0e64-418a-c285-facf60af9a12"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "DGL backend not selected or invalid.  Assuming PyTorch for now.\n",
            "Setting the default backend to \"pytorch\". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable.  Valid options are: pytorch, mxnet, tensorflow (all lowercase)\n",
            "Namespace(db_name='top10k', graph_name='rand5k', g_to_merge=None, dropout=0, gpu=0, lr=0.005, n_epochs=1000, n_hidden=16, n_layers=1, weight_decay=0.0005, r_train=0.8, r_test=0.1, testing_option=3, r_val=0.1, model_name='tmp_model_name', file_to_write='', fold=5, reduce_edge_feature=0)\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "/usr/local/lib/python3.9/dist-packages/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
            "  dgl_warning('Recommend creating graphs by `dgl.graph(data)`'\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 3266])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "\n",
            "************initilize model************\n",
            "WTAGNN(\n",
            "  (layers): ModuleList(\n",
            "    (0): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=32, out_features=16, bias=True)\n",
            "      )\n",
            "    )\n",
            "    (1): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=4, out_features=2, bias=True)\n",
            "      )\n",
            "    )\n",
            "  )\n",
            ")\n",
            "using gpu: 0\n",
            "\n",
            "************start training************\n",
            "Epoch 00000 | Time(s) 4.1091 | Loss 1.7517 | Accuracy 0.5918 | ETputs(KTEPS) 191.55\n",
            "Epoch 00001 | Time(s) 0.7381 | Loss 1.5343 | Accuracy 0.6405 | ETputs(KTEPS) 324.77\n",
            "Epoch 00002 | Time(s) 0.7477 | Loss 0.8844 | Accuracy 0.6857 | ETputs(KTEPS) 422.05\n",
            "Epoch 00003 | Time(s) 0.7946 | Loss 0.6502 | Accuracy 0.6821 | ETputs(KTEPS) 492.75\n",
            "Epoch 00004 | Time(s) 0.7843 | Loss 0.6293 | Accuracy 0.6913 | ETputs(KTEPS) 548.59\n",
            "Epoch 00005 | Time(s) 0.7784 | Loss 0.5966 | Accuracy 0.7175 | ETputs(KTEPS) 593.87\n",
            "Epoch 00006 | Time(s) 0.7749 | Loss 0.5509 | Accuracy 0.7446 | ETputs(KTEPS) 631.33\n",
            "Epoch 00007 | Time(s) 0.7550 | Loss 0.5155 | Accuracy 0.7654 | ETputs(KTEPS) 664.07\n",
            "Epoch 00008 | Time(s) 0.7514 | Loss 0.4915 | Accuracy 0.7811 | ETputs(KTEPS) 692.22\n",
            "Epoch 00009 | Time(s) 0.7368 | Loss 0.4736 | Accuracy 0.7918 | ETputs(KTEPS) 717.47\n",
            "Epoch 00010 | Time(s) 0.7630 | Loss 0.4590 | Accuracy 0.7991 | ETputs(KTEPS) 737.90\n",
            "Epoch 00011 | Time(s) 0.7465 | Loss 0.4480 | Accuracy 0.8039 | ETputs(KTEPS) 756.83\n",
            "Epoch 00012 | Time(s) 0.7771 | Loss 0.4407 | Accuracy 0.8099 | ETputs(KTEPS) 771.84\n",
            "Epoch 00013 | Time(s) 0.7964 | Loss 0.4354 | Accuracy 0.8143 | ETputs(KTEPS) 784.11\n",
            "Epoch 00014 | Time(s) 0.7752 | Loss 0.4301 | Accuracy 0.8179 | ETputs(KTEPS) 796.20\n",
            "Epoch 00015 | Time(s) 0.7557 | Loss 0.4232 | Accuracy 0.8201 | ETputs(KTEPS) 808.10\n",
            "Epoch 00016 | Time(s) 0.7565 | Loss 0.4147 | Accuracy 0.8216 | ETputs(KTEPS) 818.85\n",
            "Epoch 00017 | Time(s) 0.7545 | Loss 0.4062 | Accuracy 0.8231 | ETputs(KTEPS) 828.75\n",
            "Epoch 00018 | Time(s) 0.7564 | Loss 0.3991 | Accuracy 0.8243 | ETputs(KTEPS) 837.73\n",
            "Epoch 00019 | Time(s) 0.7477 | Loss 0.3929 | Accuracy 0.8273 | ETputs(KTEPS) 846.37\n",
            "Epoch 00020 | Time(s) 0.7968 | Loss 0.3859 | Accuracy 0.8308 | ETputs(KTEPS) 852.18\n",
            "Epoch 00021 | Time(s) 0.7692 | Loss 0.3785 | Accuracy 0.8332 | ETputs(KTEPS) 858.71\n",
            "Epoch 00022 | Time(s) 0.7466 | Loss 0.3726 | Accuracy 0.8347 | ETputs(KTEPS) 865.69\n",
            "Epoch 00023 | Time(s) 0.7445 | Loss 0.3683 | Accuracy 0.8368 | ETputs(KTEPS) 872.28\n",
            "Epoch 00024 | Time(s) 0.7578 | Loss 0.3632 | Accuracy 0.8402 | ETputs(KTEPS) 877.91\n",
            "Epoch 00025 | Time(s) 0.7455 | Loss 0.3570 | Accuracy 0.8432 | ETputs(KTEPS) 883.63\n",
            "Epoch 00026 | Time(s) 0.8348 | Loss 0.3513 | Accuracy 0.8460 | ETputs(KTEPS) 885.70\n",
            "Epoch 00027 | Time(s) 0.7697 | Loss 0.3460 | Accuracy 0.8497 | ETputs(KTEPS) 889.95\n",
            "Epoch 00028 | Time(s) 0.7534 | Loss 0.3399 | Accuracy 0.8532 | ETputs(KTEPS) 894.52\n",
            "Epoch 00029 | Time(s) 0.7971 | Loss 0.3335 | Accuracy 0.8568 | ETputs(KTEPS) 897.34\n",
            "Epoch 00030 | Time(s) 0.8037 | Loss 0.3282 | Accuracy 0.8594 | ETputs(KTEPS) 899.77\n",
            "Epoch 00031 | Time(s) 0.7547 | Loss 0.3237 | Accuracy 0.8618 | ETputs(KTEPS) 903.64\n",
            "Epoch 00032 | Time(s) 0.7461 | Loss 0.3191 | Accuracy 0.8639 | ETputs(KTEPS) 907.59\n",
            "Epoch 00033 | Time(s) 0.7529 | Loss 0.3142 | Accuracy 0.8659 | ETputs(KTEPS) 911.12\n",
            "Epoch 00034 | Time(s) 0.7456 | Loss 0.3095 | Accuracy 0.8682 | ETputs(KTEPS) 914.70\n",
            "Epoch 00035 | Time(s) 0.7668 | Loss 0.3050 | Accuracy 0.8706 | ETputs(KTEPS) 917.48\n",
            "Epoch 00036 | Time(s) 0.7666 | Loss 0.3005 | Accuracy 0.8729 | ETputs(KTEPS) 920.12\n",
            "Epoch 00037 | Time(s) 0.7882 | Loss 0.2960 | Accuracy 0.8747 | ETputs(KTEPS) 922.03\n",
            "Epoch 00038 | Time(s) 0.7657 | Loss 0.2923 | Accuracy 0.8767 | ETputs(KTEPS) 924.48\n",
            "Epoch 00039 | Time(s) 0.7459 | Loss 0.2889 | Accuracy 0.8788 | ETputs(KTEPS) 927.35\n",
            "Epoch 00040 | Time(s) 0.8186 | Loss 0.2852 | Accuracy 0.8807 | ETputs(KTEPS) 928.15\n",
            "Epoch 00041 | Time(s) 0.7411 | Loss 0.2813 | Accuracy 0.8827 | ETputs(KTEPS) 930.95\n",
            "Epoch 00042 | Time(s) 0.7583 | Loss 0.2776 | Accuracy 0.8846 | ETputs(KTEPS) 933.19\n",
            "Epoch 00043 | Time(s) 0.7484 | Loss 0.2740 | Accuracy 0.8867 | ETputs(KTEPS) 935.58\n",
            "Epoch 00044 | Time(s) 0.7477 | Loss 0.2703 | Accuracy 0.8884 | ETputs(KTEPS) 937.90\n",
            "Epoch 00045 | Time(s) 0.7747 | Loss 0.2670 | Accuracy 0.8903 | ETputs(KTEPS) 939.47\n",
            "Epoch 00046 | Time(s) 0.7903 | Loss 0.2638 | Accuracy 0.8922 | ETputs(KTEPS) 940.61\n",
            "Epoch 00047 | Time(s) 0.8111 | Loss 0.2606 | Accuracy 0.8941 | ETputs(KTEPS) 941.21\n",
            "Epoch 00048 | Time(s) 0.7588 | Loss 0.2574 | Accuracy 0.8958 | ETputs(KTEPS) 942.99\n",
            "Epoch 00049 | Time(s) 0.7590 | Loss 0.2544 | Accuracy 0.8977 | ETputs(KTEPS) 944.71\n",
            "Epoch 00050 | Time(s) 0.7584 | Loss 0.2513 | Accuracy 0.8993 | ETputs(KTEPS) 946.37\n",
            "Epoch 00051 | Time(s) 0.7561 | Loss 0.2484 | Accuracy 0.9007 | ETputs(KTEPS) 948.03\n",
            "Epoch 00052 | Time(s) 0.7328 | Loss 0.2456 | Accuracy 0.9023 | ETputs(KTEPS) 950.13\n",
            "Epoch 00053 | Time(s) 0.7473 | Loss 0.2428 | Accuracy 0.9039 | ETputs(KTEPS) 951.86\n",
            "Epoch 00054 | Time(s) 0.7744 | Loss 0.2400 | Accuracy 0.9053 | ETputs(KTEPS) 952.96\n",
            "Epoch 00055 | Time(s) 0.7631 | Loss 0.2373 | Accuracy 0.9066 | ETputs(KTEPS) 954.26\n",
            "Epoch 00056 | Time(s) 0.7792 | Loss 0.2346 | Accuracy 0.9080 | ETputs(KTEPS) 955.18\n",
            "Epoch 00057 | Time(s) 0.7673 | Loss 0.2320 | Accuracy 0.9091 | ETputs(KTEPS) 956.32\n",
            "Epoch 00058 | Time(s) 0.7565 | Loss 0.2294 | Accuracy 0.9100 | ETputs(KTEPS) 957.63\n",
            "Epoch 00059 | Time(s) 0.7573 | Loss 0.2269 | Accuracy 0.9153 | ETputs(KTEPS) 958.89\n",
            "Epoch 00060 | Time(s) 0.7492 | Loss 0.2244 | Accuracy 0.9165 | ETputs(KTEPS) 960.26\n",
            "Epoch 00061 | Time(s) 0.7467 | Loss 0.2221 | Accuracy 0.9175 | ETputs(KTEPS) 961.64\n",
            "Epoch 00062 | Time(s) 0.7612 | Loss 0.2197 | Accuracy 0.9186 | ETputs(KTEPS) 962.71\n",
            "Epoch 00063 | Time(s) 0.7887 | Loss 0.2174 | Accuracy 0.9193 | ETputs(KTEPS) 963.24\n",
            "Epoch 00064 | Time(s) 0.7981 | Loss 0.2151 | Accuracy 0.9202 | ETputs(KTEPS) 963.59\n",
            "Epoch 00065 | Time(s) 0.7545 | Loss 0.2129 | Accuracy 0.9214 | ETputs(KTEPS) 964.70\n",
            "Epoch 00066 | Time(s) 0.7443 | Loss 0.2107 | Accuracy 0.9223 | ETputs(KTEPS) 965.97\n",
            "Epoch 00067 | Time(s) 0.7530 | Loss 0.2085 | Accuracy 0.9231 | ETputs(KTEPS) 967.05\n",
            "Epoch 00068 | Time(s) 0.7582 | Loss 0.2064 | Accuracy 0.9242 | ETputs(KTEPS) 968.01\n",
            "Epoch 00069 | Time(s) 0.7582 | Loss 0.2043 | Accuracy 0.9253 | ETputs(KTEPS) 968.94\n",
            "Epoch 00070 | Time(s) 0.7614 | Loss 0.2022 | Accuracy 0.9264 | ETputs(KTEPS) 969.80\n",
            "Epoch 00071 | Time(s) 0.7628 | Loss 0.2003 | Accuracy 0.9275 | ETputs(KTEPS) 970.61\n",
            "Epoch 00072 | Time(s) 0.7757 | Loss 0.1983 | Accuracy 0.9281 | ETputs(KTEPS) 971.19\n",
            "Epoch 00073 | Time(s) 0.7793 | Loss 0.1964 | Accuracy 0.9291 | ETputs(KTEPS) 971.69\n",
            "Epoch 00074 | Time(s) 0.7542 | Loss 0.1945 | Accuracy 0.9298 | ETputs(KTEPS) 972.59\n",
            "Epoch 00075 | Time(s) 0.7586 | Loss 0.1926 | Accuracy 0.9305 | ETputs(KTEPS) 973.39\n",
            "Epoch 00076 | Time(s) 0.7503 | Loss 0.1908 | Accuracy 0.9314 | ETputs(KTEPS) 974.30\n",
            "Epoch 00077 | Time(s) 0.8282 | Loss 0.1891 | Accuracy 0.9322 | ETputs(KTEPS) 973.99\n",
            "Epoch 00078 | Time(s) 0.7515 | Loss 0.1873 | Accuracy 0.9330 | ETputs(KTEPS) 974.85\n",
            "Epoch 00079 | Time(s) 0.7562 | Loss 0.1855 | Accuracy 0.9337 | ETputs(KTEPS) 975.63\n",
            "Epoch 00080 | Time(s) 0.7949 | Loss 0.1838 | Accuracy 0.9345 | ETputs(KTEPS) 975.80\n",
            "Epoch 00081 | Time(s) 0.7693 | Loss 0.1821 | Accuracy 0.9353 | ETputs(KTEPS) 976.35\n",
            "Epoch 00082 | Time(s) 0.7534 | Loss 0.1803 | Accuracy 0.9358 | ETputs(KTEPS) 977.12\n",
            "Epoch 00083 | Time(s) 0.7486 | Loss 0.1786 | Accuracy 0.9365 | ETputs(KTEPS) 977.95\n",
            "Epoch 00084 | Time(s) 0.7421 | Loss 0.1769 | Accuracy 0.9372 | ETputs(KTEPS) 978.85\n",
            "Epoch 00085 | Time(s) 0.7577 | Loss 0.1753 | Accuracy 0.9378 | ETputs(KTEPS) 979.50\n",
            "Epoch 00086 | Time(s) 0.7562 | Loss 0.1737 | Accuracy 0.9383 | ETputs(KTEPS) 980.17\n",
            "Epoch 00087 | Time(s) 0.7670 | Loss 0.1721 | Accuracy 0.9393 | ETputs(KTEPS) 980.67\n",
            "Epoch 00088 | Time(s) 0.7734 | Loss 0.1706 | Accuracy 0.9398 | ETputs(KTEPS) 981.07\n",
            "Epoch 00089 | Time(s) 0.7815 | Loss 0.1691 | Accuracy 0.9406 | ETputs(KTEPS) 981.35\n",
            "Epoch 00090 | Time(s) 0.7934 | Loss 0.1677 | Accuracy 0.9414 | ETputs(KTEPS) 981.47\n",
            "Epoch 00091 | Time(s) 0.7631 | Loss 0.1663 | Accuracy 0.9420 | ETputs(KTEPS) 981.99\n",
            "Epoch 00092 | Time(s) 0.7605 | Loss 0.1650 | Accuracy 0.9425 | ETputs(KTEPS) 982.53\n",
            "Epoch 00093 | Time(s) 0.7518 | Loss 0.1637 | Accuracy 0.9430 | ETputs(KTEPS) 983.17\n",
            "Epoch 00094 | Time(s) 0.7397 | Loss 0.1624 | Accuracy 0.9433 | ETputs(KTEPS) 983.96\n",
            "Epoch 00095 | Time(s) 0.7510 | Loss 0.1611 | Accuracy 0.9439 | ETputs(KTEPS) 984.59\n",
            "Epoch 00096 | Time(s) 0.7462 | Loss 0.1599 | Accuracy 0.9444 | ETputs(KTEPS) 985.26\n",
            "Epoch 00097 | Time(s) 0.7914 | Loss 0.1588 | Accuracy 0.9448 | ETputs(KTEPS) 985.36\n",
            "Epoch 00098 | Time(s) 0.7419 | Loss 0.1576 | Accuracy 0.9452 | ETputs(KTEPS) 986.07\n",
            "Epoch 00099 | Time(s) 0.7475 | Loss 0.1565 | Accuracy 0.9455 | ETputs(KTEPS) 986.69\n",
            "Epoch 00100 | Time(s) 0.7455 | Loss 0.1554 | Accuracy 0.9462 | ETputs(KTEPS) 987.33\n",
            "Epoch 00101 | Time(s) 0.7512 | Loss 0.1543 | Accuracy 0.9468 | ETputs(KTEPS) 987.89\n",
            "Epoch 00102 | Time(s) 0.7714 | Loss 0.1532 | Accuracy 0.9471 | ETputs(KTEPS) 988.20\n",
            "Epoch 00103 | Time(s) 0.7606 | Loss 0.1522 | Accuracy 0.9478 | ETputs(KTEPS) 988.63\n",
            "Epoch 00104 | Time(s) 0.7510 | Loss 0.1511 | Accuracy 0.9482 | ETputs(KTEPS) 989.16\n",
            "Epoch 00105 | Time(s) 0.7584 | Loss 0.1501 | Accuracy 0.9486 | ETputs(KTEPS) 989.60\n",
            "Epoch 00106 | Time(s) 0.7893 | Loss 0.1491 | Accuracy 0.9490 | ETputs(KTEPS) 989.67\n",
            "Epoch 00107 | Time(s) 0.7826 | Loss 0.1482 | Accuracy 0.9494 | ETputs(KTEPS) 989.82\n",
            "Epoch 00108 | Time(s) 0.7404 | Loss 0.1472 | Accuracy 0.9498 | ETputs(KTEPS) 990.44\n",
            "Epoch 00109 | Time(s) 0.7626 | Loss 0.1463 | Accuracy 0.9501 | ETputs(KTEPS) 990.81\n",
            "Epoch 00110 | Time(s) 0.8335 | Loss 0.1454 | Accuracy 0.9504 | ETputs(KTEPS) 990.37\n",
            "Epoch 00111 | Time(s) 0.7608 | Loss 0.1445 | Accuracy 0.9508 | ETputs(KTEPS) 990.74\n",
            "Epoch 00112 | Time(s) 0.7450 | Loss 0.1436 | Accuracy 0.9511 | ETputs(KTEPS) 991.29\n",
            "Epoch 00113 | Time(s) 0.7592 | Loss 0.1427 | Accuracy 0.9513 | ETputs(KTEPS) 991.67\n",
            "Epoch 00114 | Time(s) 0.7903 | Loss 0.1419 | Accuracy 0.9516 | ETputs(KTEPS) 991.71\n",
            "Epoch 00115 | Time(s) 0.7541 | Loss 0.1411 | Accuracy 0.9519 | ETputs(KTEPS) 992.14\n",
            "Epoch 00116 | Time(s) 0.7483 | Loss 0.1403 | Accuracy 0.9522 | ETputs(KTEPS) 992.62\n",
            "Epoch 00117 | Time(s) 0.7384 | Loss 0.1395 | Accuracy 0.9525 | ETputs(KTEPS) 993.20\n",
            "Epoch 00118 | Time(s) 0.7548 | Loss 0.1387 | Accuracy 0.9527 | ETputs(KTEPS) 993.59\n",
            "Epoch 00119 | Time(s) 0.7484 | Loss 0.1379 | Accuracy 0.9529 | ETputs(KTEPS) 994.05\n",
            "Epoch 00120 | Time(s) 0.7520 | Loss 0.1372 | Accuracy 0.9534 | ETputs(KTEPS) 994.46\n",
            "Epoch 00121 | Time(s) 0.7518 | Loss 0.1364 | Accuracy 0.9534 | ETputs(KTEPS) 994.87\n",
            "Epoch 00122 | Time(s) 0.7587 | Loss 0.1358 | Accuracy 0.9538 | ETputs(KTEPS) 995.21\n",
            "Epoch 00123 | Time(s) 0.7704 | Loss 0.1355 | Accuracy 0.9525 | ETputs(KTEPS) 995.41\n",
            "Epoch 00124 | Time(s) 0.9061 | Loss 0.1367 | Accuracy 0.9529 | ETputs(KTEPS) 994.25\n",
            "Epoch 00125 | Time(s) 0.7617 | Loss 0.1404 | Accuracy 0.9494 | ETputs(KTEPS) 994.55\n",
            "Epoch 00126 | Time(s) 0.7734 | Loss 0.1416 | Accuracy 0.9548 | ETputs(KTEPS) 994.73\n",
            "Epoch 00127 | Time(s) 0.7771 | Loss 0.1331 | Accuracy 0.9540 | ETputs(KTEPS) 994.87\n",
            "Epoch 00128 | Time(s) 0.7554 | Loss 0.1359 | Accuracy 0.9523 | ETputs(KTEPS) 995.22\n",
            "Epoch 00129 | Time(s) 0.7448 | Loss 0.1366 | Accuracy 0.9552 | ETputs(KTEPS) 995.67\n",
            "Epoch 00130 | Time(s) 0.7551 | Loss 0.1309 | Accuracy 0.9544 | ETputs(KTEPS) 996.01\n",
            "Epoch 00131 | Time(s) 0.7796 | Loss 0.1355 | Accuracy 0.9548 | ETputs(KTEPS) 996.11\n",
            "Epoch 00132 | Time(s) 0.7904 | Loss 0.1312 | Accuracy 0.9545 | ETputs(KTEPS) 996.11\n",
            "Epoch 00133 | Time(s) 0.7712 | Loss 0.1314 | Accuracy 0.9555 | ETputs(KTEPS) 996.29\n",
            "Epoch 00134 | Time(s) 0.7759 | Loss 0.1318 | Accuracy 0.9563 | ETputs(KTEPS) 996.42\n",
            "Epoch 00135 | Time(s) 0.7481 | Loss 0.1284 | Accuracy 0.9547 | ETputs(KTEPS) 996.81\n",
            "Epoch 00136 | Time(s) 0.7676 | Loss 0.1309 | Accuracy 0.9567 | ETputs(KTEPS) 997.01\n",
            "Epoch 00137 | Time(s) 0.7489 | Loss 0.1274 | Accuracy 0.9564 | ETputs(KTEPS) 997.38\n",
            "Epoch 00138 | Time(s) 0.7685 | Loss 0.1289 | Accuracy 0.9562 | ETputs(KTEPS) 997.57\n",
            "Epoch 00139 | Time(s) 0.7508 | Loss 0.1275 | Accuracy 0.9566 | ETputs(KTEPS) 997.91\n",
            "Epoch 00140 | Time(s) 0.7698 | Loss 0.1265 | Accuracy 0.9571 | ETputs(KTEPS) 998.08\n",
            "Epoch 00141 | Time(s) 0.7944 | Loss 0.1273 | Accuracy 0.9574 | ETputs(KTEPS) 998.03\n",
            "Epoch 00142 | Time(s) 0.7527 | Loss 0.1249 | Accuracy 0.9566 | ETputs(KTEPS) 998.35\n",
            "Epoch 00143 | Time(s) 0.7436 | Loss 0.1260 | Accuracy 0.9578 | ETputs(KTEPS) 998.74\n",
            "Epoch 00144 | Time(s) 0.7640 | Loss 0.1245 | Accuracy 0.9580 | ETputs(KTEPS) 998.95\n",
            "Epoch 00145 | Time(s) 0.7714 | Loss 0.1241 | Accuracy 0.9573 | ETputs(KTEPS) 999.10\n",
            "Epoch 00146 | Time(s) 0.7758 | Loss 0.1243 | Accuracy 0.9581 | ETputs(KTEPS) 999.20\n",
            "Epoch 00147 | Time(s) 0.7689 | Loss 0.1227 | Accuracy 0.9586 | ETputs(KTEPS) 999.36\n",
            "Epoch 00148 | Time(s) 0.7690 | Loss 0.1233 | Accuracy 0.9583 | ETputs(KTEPS) 999.52\n",
            "Epoch 00149 | Time(s) 0.7705 | Loss 0.1223 | Accuracy 0.9585 | ETputs(KTEPS) 999.67\n",
            "Epoch 00150 | Time(s) 0.7707 | Loss 0.1217 | Accuracy 0.9593 | ETputs(KTEPS) 999.81\n",
            "Epoch 00151 | Time(s) 0.7436 | Loss 0.1220 | Accuracy 0.9588 | ETputs(KTEPS) 1000.17\n",
            "Epoch 00152 | Time(s) 0.7713 | Loss 0.1208 | Accuracy 0.9588 | ETputs(KTEPS) 1000.30\n",
            "Epoch 00153 | Time(s) 0.7500 | Loss 0.1207 | Accuracy 0.9599 | ETputs(KTEPS) 1000.61\n",
            "Epoch 00154 | Time(s) 0.7525 | Loss 0.1204 | Accuracy 0.9596 | ETputs(KTEPS) 1000.89\n",
            "Epoch 00155 | Time(s) 0.7646 | Loss 0.1195 | Accuracy 0.9594 | ETputs(KTEPS) 1001.06\n",
            "Epoch 00156 | Time(s) 0.7758 | Loss 0.1195 | Accuracy 0.9602 | ETputs(KTEPS) 1001.15\n",
            "Epoch 00157 | Time(s) 0.7869 | Loss 0.1191 | Accuracy 0.9602 | ETputs(KTEPS) 1001.14\n",
            "Epoch 00158 | Time(s) 0.7832 | Loss 0.1183 | Accuracy 0.9598 | ETputs(KTEPS) 1001.17\n",
            "Epoch 00159 | Time(s) 0.7692 | Loss 0.1182 | Accuracy 0.9607 | ETputs(KTEPS) 1001.30\n",
            "Epoch 00160 | Time(s) 0.7663 | Loss 0.1178 | Accuracy 0.9606 | ETputs(KTEPS) 1001.46\n",
            "Epoch 00161 | Time(s) 0.8340 | Loss 0.1172 | Accuracy 0.9604 | ETputs(KTEPS) 1001.08\n",
            "Epoch 00162 | Time(s) 0.7591 | Loss 0.1170 | Accuracy 0.9611 | ETputs(KTEPS) 1001.29\n",
            "Epoch 00163 | Time(s) 0.7687 | Loss 0.1167 | Accuracy 0.9609 | ETputs(KTEPS) 1001.43\n",
            "Epoch 00164 | Time(s) 0.7470 | Loss 0.1161 | Accuracy 0.9610 | ETputs(KTEPS) 1001.73\n",
            "Epoch 00165 | Time(s) 0.7658 | Loss 0.1158 | Accuracy 0.9616 | ETputs(KTEPS) 1001.88\n",
            "Epoch 00166 | Time(s) 0.7807 | Loss 0.1155 | Accuracy 0.9614 | ETputs(KTEPS) 1001.92\n",
            "Epoch 00167 | Time(s) 0.7989 | Loss 0.1150 | Accuracy 0.9617 | ETputs(KTEPS) 1001.82\n",
            "Epoch 00168 | Time(s) 0.7799 | Loss 0.1146 | Accuracy 0.9619 | ETputs(KTEPS) 1001.86\n",
            "Epoch 00169 | Time(s) 0.7665 | Loss 0.1143 | Accuracy 0.9616 | ETputs(KTEPS) 1002.01\n",
            "Epoch 00170 | Time(s) 0.7466 | Loss 0.1140 | Accuracy 0.9622 | ETputs(KTEPS) 1002.30\n",
            "Epoch 00171 | Time(s) 0.7451 | Loss 0.1136 | Accuracy 0.9623 | ETputs(KTEPS) 1002.59\n",
            "Epoch 00172 | Time(s) 0.7569 | Loss 0.1131 | Accuracy 0.9622 | ETputs(KTEPS) 1002.80\n",
            "Epoch 00173 | Time(s) 0.7456 | Loss 0.1128 | Accuracy 0.9626 | ETputs(KTEPS) 1003.09\n",
            "Epoch 00174 | Time(s) 0.7952 | Loss 0.1125 | Accuracy 0.9623 | ETputs(KTEPS) 1003.01\n",
            "Epoch 00175 | Time(s) 0.7836 | Loss 0.1122 | Accuracy 0.9628 | ETputs(KTEPS) 1003.02\n",
            "Epoch 00176 | Time(s) 0.7705 | Loss 0.1117 | Accuracy 0.9629 | ETputs(KTEPS) 1003.13\n",
            "Epoch 00177 | Time(s) 0.7531 | Loss 0.1113 | Accuracy 0.9629 | ETputs(KTEPS) 1003.35\n",
            "Epoch 00178 | Time(s) 0.7697 | Loss 0.1110 | Accuracy 0.9631 | ETputs(KTEPS) 1003.46\n",
            "Epoch 00179 | Time(s) 0.7593 | Loss 0.1107 | Accuracy 0.9630 | ETputs(KTEPS) 1003.64\n",
            "Epoch 00180 | Time(s) 0.7696 | Loss 0.1104 | Accuracy 0.9634 | ETputs(KTEPS) 1003.74\n",
            "Epoch 00181 | Time(s) 0.7448 | Loss 0.1100 | Accuracy 0.9631 | ETputs(KTEPS) 1004.02\n",
            "Epoch 00182 | Time(s) 0.7528 | Loss 0.1097 | Accuracy 0.9638 | ETputs(KTEPS) 1004.23\n",
            "Epoch 00183 | Time(s) 0.8065 | Loss 0.1093 | Accuracy 0.9633 | ETputs(KTEPS) 1004.08\n",
            "Epoch 00184 | Time(s) 0.7777 | Loss 0.1090 | Accuracy 0.9639 | ETputs(KTEPS) 1004.12\n",
            "Epoch 00185 | Time(s) 0.7458 | Loss 0.1087 | Accuracy 0.9634 | ETputs(KTEPS) 1004.38\n",
            "Epoch 00186 | Time(s) 0.7563 | Loss 0.1083 | Accuracy 0.9641 | ETputs(KTEPS) 1004.57\n",
            "Epoch 00187 | Time(s) 0.7572 | Loss 0.1081 | Accuracy 0.9633 | ETputs(KTEPS) 1004.75\n",
            "Epoch 00188 | Time(s) 0.7551 | Loss 0.1079 | Accuracy 0.9642 | ETputs(KTEPS) 1004.94\n",
            "Epoch 00189 | Time(s) 0.7673 | Loss 0.1080 | Accuracy 0.9628 | ETputs(KTEPS) 1005.05\n",
            "Epoch 00190 | Time(s) 0.7631 | Loss 0.1086 | Accuracy 0.9637 | ETputs(KTEPS) 1005.18\n",
            "Epoch 00191 | Time(s) 0.8170 | Loss 0.1103 | Accuracy 0.9597 | ETputs(KTEPS) 1004.96\n",
            "Epoch 00192 | Time(s) 0.7646 | Loss 0.1146 | Accuracy 0.9601 | ETputs(KTEPS) 1005.08\n",
            "Epoch 00193 | Time(s) 0.7631 | Loss 0.1200 | Accuracy 0.9565 | ETputs(KTEPS) 1005.21\n",
            "Epoch 00194 | Time(s) 0.8277 | Loss 0.1213 | Accuracy 0.9639 | ETputs(KTEPS) 1004.92\n",
            "Epoch 00195 | Time(s) 0.7491 | Loss 0.1090 | Accuracy 0.9641 | ETputs(KTEPS) 1005.14\n",
            "Epoch 00196 | Time(s) 0.7465 | Loss 0.1080 | Accuracy 0.9597 | ETputs(KTEPS) 1005.38\n",
            "Epoch 00197 | Time(s) 0.7591 | Loss 0.1151 | Accuracy 0.9645 | ETputs(KTEPS) 1005.53\n",
            "Epoch 00198 | Time(s) 0.7664 | Loss 0.1066 | Accuracy 0.9643 | ETputs(KTEPS) 1005.64\n",
            "Epoch 00199 | Time(s) 0.7569 | Loss 0.1075 | Accuracy 0.9613 | ETputs(KTEPS) 1005.81\n",
            "Epoch 00200 | Time(s) 0.8016 | Loss 0.1107 | Accuracy 0.9651 | ETputs(KTEPS) 1005.68\n",
            "Epoch 00201 | Time(s) 0.8014 | Loss 0.1041 | Accuracy 0.9641 | ETputs(KTEPS) 1005.57\n",
            "Epoch 00202 | Time(s) 0.7595 | Loss 0.1081 | Accuracy 0.9629 | ETputs(KTEPS) 1005.71\n",
            "Epoch 00203 | Time(s) 0.7407 | Loss 0.1067 | Accuracy 0.9648 | ETputs(KTEPS) 1005.98\n",
            "Epoch 00204 | Time(s) 0.7517 | Loss 0.1034 | Accuracy 0.9645 | ETputs(KTEPS) 1006.17\n",
            "Epoch 00205 | Time(s) 0.7477 | Loss 0.1071 | Accuracy 0.9645 | ETputs(KTEPS) 1006.38\n",
            "Epoch 00206 | Time(s) 0.7543 | Loss 0.1033 | Accuracy 0.9645 | ETputs(KTEPS) 1006.56\n",
            "Epoch 00207 | Time(s) 0.7660 | Loss 0.1037 | Accuracy 0.9652 | ETputs(KTEPS) 1006.66\n",
            "Epoch 00208 | Time(s) 0.8837 | Loss 0.1048 | Accuracy 0.9658 | ETputs(KTEPS) 1006.03\n",
            "Epoch 00209 | Time(s) 0.7841 | Loss 0.1015 | Accuracy 0.9647 | ETputs(KTEPS) 1006.02\n",
            "Epoch 00210 | Time(s) 0.7575 | Loss 0.1034 | Accuracy 0.9659 | ETputs(KTEPS) 1006.17\n",
            "Epoch 00211 | Time(s) 0.7715 | Loss 0.1025 | Accuracy 0.9662 | ETputs(KTEPS) 1006.24\n",
            "Epoch 00212 | Time(s) 0.7666 | Loss 0.1007 | Accuracy 0.9652 | ETputs(KTEPS) 1006.33\n",
            "Epoch 00213 | Time(s) 0.7535 | Loss 0.1023 | Accuracy 0.9663 | ETputs(KTEPS) 1006.50\n",
            "Epoch 00214 | Time(s) 0.7499 | Loss 0.1007 | Accuracy 0.9663 | ETputs(KTEPS) 1006.70\n",
            "Epoch 00215 | Time(s) 0.7510 | Loss 0.1001 | Accuracy 0.9655 | ETputs(KTEPS) 1006.88\n",
            "Epoch 00216 | Time(s) 0.7420 | Loss 0.1011 | Accuracy 0.9665 | ETputs(KTEPS) 1007.12\n",
            "Epoch 00217 | Time(s) 0.7700 | Loss 0.0995 | Accuracy 0.9667 | ETputs(KTEPS) 1007.18\n",
            "Epoch 00218 | Time(s) 0.7946 | Loss 0.0994 | Accuracy 0.9661 | ETputs(KTEPS) 1007.11\n",
            "Epoch 00219 | Time(s) 0.7537 | Loss 0.0998 | Accuracy 0.9668 | ETputs(KTEPS) 1007.27\n",
            "Epoch 00220 | Time(s) 0.7603 | Loss 0.0985 | Accuracy 0.9670 | ETputs(KTEPS) 1007.39\n",
            "Epoch 00221 | Time(s) 0.7725 | Loss 0.0986 | Accuracy 0.9666 | ETputs(KTEPS) 1007.44\n",
            "Epoch 00222 | Time(s) 0.7596 | Loss 0.0988 | Accuracy 0.9671 | ETputs(KTEPS) 1007.57\n",
            "Epoch 00223 | Time(s) 0.7632 | Loss 0.0977 | Accuracy 0.9671 | ETputs(KTEPS) 1007.67\n",
            "Epoch 00224 | Time(s) 0.7475 | Loss 0.0976 | Accuracy 0.9668 | ETputs(KTEPS) 1007.87\n",
            "Epoch 00225 | Time(s) 0.7832 | Loss 0.0978 | Accuracy 0.9674 | ETputs(KTEPS) 1007.85\n",
            "Epoch 00226 | Time(s) 0.7823 | Loss 0.0970 | Accuracy 0.9676 | ETputs(KTEPS) 1007.85\n",
            "Epoch 00227 | Time(s) 0.7771 | Loss 0.0967 | Accuracy 0.9671 | ETputs(KTEPS) 1007.87\n",
            "Epoch 00228 | Time(s) 0.7607 | Loss 0.0968 | Accuracy 0.9677 | ETputs(KTEPS) 1007.98\n",
            "Epoch 00229 | Time(s) 0.7510 | Loss 0.0963 | Accuracy 0.9678 | ETputs(KTEPS) 1008.15\n",
            "Epoch 00230 | Time(s) 0.7457 | Loss 0.0958 | Accuracy 0.9676 | ETputs(KTEPS) 1008.35\n",
            "Epoch 00231 | Time(s) 0.7633 | Loss 0.0958 | Accuracy 0.9681 | ETputs(KTEPS) 1008.44\n",
            "Epoch 00232 | Time(s) 0.7641 | Loss 0.0956 | Accuracy 0.9680 | ETputs(KTEPS) 1008.53\n",
            "Epoch 00233 | Time(s) 0.7720 | Loss 0.0950 | Accuracy 0.9680 | ETputs(KTEPS) 1008.58\n",
            "Epoch 00234 | Time(s) 0.7724 | Loss 0.0948 | Accuracy 0.9684 | ETputs(KTEPS) 1008.62\n",
            "Epoch 00235 | Time(s) 0.8029 | Loss 0.0947 | Accuracy 0.9682 | ETputs(KTEPS) 1008.50\n",
            "Epoch 00236 | Time(s) 0.7593 | Loss 0.0944 | Accuracy 0.9686 | ETputs(KTEPS) 1008.62\n",
            "Epoch 00237 | Time(s) 0.7492 | Loss 0.0939 | Accuracy 0.9687 | ETputs(KTEPS) 1008.79\n",
            "Epoch 00238 | Time(s) 0.7485 | Loss 0.0937 | Accuracy 0.9683 | ETputs(KTEPS) 1008.96\n",
            "Epoch 00239 | Time(s) 0.7461 | Loss 0.0936 | Accuracy 0.9689 | ETputs(KTEPS) 1009.14\n",
            "Epoch 00240 | Time(s) 0.7406 | Loss 0.0933 | Accuracy 0.9688 | ETputs(KTEPS) 1009.35\n",
            "Epoch 00241 | Time(s) 0.7525 | Loss 0.0929 | Accuracy 0.9689 | ETputs(KTEPS) 1009.50\n",
            "Epoch 00242 | Time(s) 0.7699 | Loss 0.0926 | Accuracy 0.9693 | ETputs(KTEPS) 1009.55\n",
            "Epoch 00243 | Time(s) 0.7825 | Loss 0.0925 | Accuracy 0.9689 | ETputs(KTEPS) 1009.53\n",
            "Epoch 00244 | Time(s) 0.7979 | Loss 0.0923 | Accuracy 0.9694 | ETputs(KTEPS) 1009.44\n",
            "Epoch 00245 | Time(s) 0.8467 | Loss 0.0919 | Accuracy 0.9692 | ETputs(KTEPS) 1009.09\n",
            "Epoch 00246 | Time(s) 0.7758 | Loss 0.0916 | Accuracy 0.9694 | ETputs(KTEPS) 1009.11\n",
            "Epoch 00247 | Time(s) 0.7590 | Loss 0.0913 | Accuracy 0.9696 | ETputs(KTEPS) 1009.22\n",
            "Epoch 00248 | Time(s) 0.7598 | Loss 0.0911 | Accuracy 0.9694 | ETputs(KTEPS) 1009.32\n",
            "Epoch 00249 | Time(s) 0.7763 | Loss 0.0909 | Accuracy 0.9699 | ETputs(KTEPS) 1009.34\n",
            "Epoch 00250 | Time(s) 0.7526 | Loss 0.0907 | Accuracy 0.9697 | ETputs(KTEPS) 1009.48\n",
            "Epoch 00251 | Time(s) 0.7842 | Loss 0.0904 | Accuracy 0.9700 | ETputs(KTEPS) 1009.46\n",
            "Epoch 00252 | Time(s) 0.7983 | Loss 0.0901 | Accuracy 0.9700 | ETputs(KTEPS) 1009.36\n",
            "Epoch 00253 | Time(s) 0.7572 | Loss 0.0899 | Accuracy 0.9701 | ETputs(KTEPS) 1009.48\n",
            "Epoch 00254 | Time(s) 0.7687 | Loss 0.0896 | Accuracy 0.9702 | ETputs(KTEPS) 1009.53\n",
            "Epoch 00255 | Time(s) 0.7635 | Loss 0.0894 | Accuracy 0.9701 | ETputs(KTEPS) 1009.62\n",
            "Epoch 00256 | Time(s) 0.7434 | Loss 0.0892 | Accuracy 0.9703 | ETputs(KTEPS) 1009.80\n",
            "Epoch 00257 | Time(s) 0.7550 | Loss 0.0890 | Accuracy 0.9703 | ETputs(KTEPS) 1009.92\n",
            "Epoch 00258 | Time(s) 0.7450 | Loss 0.0888 | Accuracy 0.9705 | ETputs(KTEPS) 1010.09\n",
            "Epoch 00259 | Time(s) 0.7458 | Loss 0.0886 | Accuracy 0.9704 | ETputs(KTEPS) 1010.26\n",
            "Epoch 00260 | Time(s) 0.7823 | Loss 0.0885 | Accuracy 0.9706 | ETputs(KTEPS) 1010.24\n",
            "Epoch 00261 | Time(s) 0.7801 | Loss 0.0885 | Accuracy 0.9702 | ETputs(KTEPS) 1010.24\n",
            "Epoch 00262 | Time(s) 0.7533 | Loss 0.0887 | Accuracy 0.9706 | ETputs(KTEPS) 1010.37\n",
            "Epoch 00263 | Time(s) 0.7648 | Loss 0.0892 | Accuracy 0.9692 | ETputs(KTEPS) 1010.44\n",
            "Epoch 00264 | Time(s) 0.7393 | Loss 0.0904 | Accuracy 0.9692 | ETputs(KTEPS) 1010.63\n",
            "Epoch 00265 | Time(s) 0.7549 | Loss 0.0929 | Accuracy 0.9659 | ETputs(KTEPS) 1010.75\n",
            "Epoch 00266 | Time(s) 0.7773 | Loss 0.0977 | Accuracy 0.9642 | ETputs(KTEPS) 1010.75\n",
            "Epoch 00267 | Time(s) 0.7632 | Loss 0.1045 | Accuracy 0.9602 | ETputs(KTEPS) 1010.83\n",
            "Epoch 00268 | Time(s) 0.7917 | Loss 0.1108 | Accuracy 0.9651 | ETputs(KTEPS) 1010.77\n",
            "Epoch 00269 | Time(s) 0.7690 | Loss 0.1015 | Accuracy 0.9708 | ETputs(KTEPS) 1010.81\n",
            "Epoch 00270 | Time(s) 0.7518 | Loss 0.0870 | Accuracy 0.9667 | ETputs(KTEPS) 1010.94\n",
            "Epoch 00271 | Time(s) 0.7466 | Loss 0.0967 | Accuracy 0.9679 | ETputs(KTEPS) 1011.09\n",
            "Epoch 00272 | Time(s) 0.7498 | Loss 0.0951 | Accuracy 0.9710 | ETputs(KTEPS) 1011.23\n",
            "Epoch 00273 | Time(s) 0.7496 | Loss 0.0866 | Accuracy 0.9673 | ETputs(KTEPS) 1011.37\n",
            "Epoch 00274 | Time(s) 0.7493 | Loss 0.0942 | Accuracy 0.9705 | ETputs(KTEPS) 1011.50\n",
            "Epoch 00275 | Time(s) 0.7400 | Loss 0.0885 | Accuracy 0.9708 | ETputs(KTEPS) 1011.68\n",
            "Epoch 00276 | Time(s) 0.7472 | Loss 0.0878 | Accuracy 0.9687 | ETputs(KTEPS) 1011.83\n",
            "Epoch 00277 | Time(s) 0.7777 | Loss 0.0916 | Accuracy 0.9714 | ETputs(KTEPS) 1011.83\n",
            "Epoch 00278 | Time(s) 0.9021 | Loss 0.0851 | Accuracy 0.9701 | ETputs(KTEPS) 1011.25\n",
            "Epoch 00279 | Time(s) 0.7611 | Loss 0.0887 | Accuracy 0.9702 | ETputs(KTEPS) 1011.33\n",
            "Epoch 00280 | Time(s) 0.7482 | Loss 0.0869 | Accuracy 0.9715 | ETputs(KTEPS) 1011.47\n",
            "Epoch 00281 | Time(s) 0.7586 | Loss 0.0847 | Accuracy 0.9708 | ETputs(KTEPS) 1011.56\n",
            "Epoch 00282 | Time(s) 0.7350 | Loss 0.0879 | Accuracy 0.9717 | ETputs(KTEPS) 1011.76\n",
            "Epoch 00283 | Time(s) 0.7488 | Loss 0.0842 | Accuracy 0.9715 | ETputs(KTEPS) 1011.89\n",
            "Epoch 00284 | Time(s) 0.7465 | Loss 0.0850 | Accuracy 0.9714 | ETputs(KTEPS) 1012.03\n",
            "Epoch 00285 | Time(s) 0.7772 | Loss 0.0857 | Accuracy 0.9724 | ETputs(KTEPS) 1012.04\n",
            "Epoch 00286 | Time(s) 0.7728 | Loss 0.0829 | Accuracy 0.9717 | ETputs(KTEPS) 1012.06\n",
            "Epoch 00287 | Time(s) 0.7844 | Loss 0.0848 | Accuracy 0.9721 | ETputs(KTEPS) 1012.03\n",
            "Epoch 00288 | Time(s) 0.7732 | Loss 0.0840 | Accuracy 0.9723 | ETputs(KTEPS) 1012.05\n",
            "Epoch 00289 | Time(s) 0.7737 | Loss 0.0824 | Accuracy 0.9720 | ETputs(KTEPS) 1012.07\n",
            "Epoch 00290 | Time(s) 0.7636 | Loss 0.0839 | Accuracy 0.9727 | ETputs(KTEPS) 1012.13\n",
            "Epoch 00291 | Time(s) 0.7396 | Loss 0.0825 | Accuracy 0.9728 | ETputs(KTEPS) 1012.30\n",
            "Epoch 00292 | Time(s) 0.8213 | Loss 0.0820 | Accuracy 0.9723 | ETputs(KTEPS) 1012.11\n",
            "Epoch 00293 | Time(s) 0.7482 | Loss 0.0829 | Accuracy 0.9727 | ETputs(KTEPS) 1012.24\n",
            "Epoch 00294 | Time(s) 0.7887 | Loss 0.0815 | Accuracy 0.9728 | ETputs(KTEPS) 1012.19\n",
            "Epoch 00295 | Time(s) 0.7858 | Loss 0.0815 | Accuracy 0.9728 | ETputs(KTEPS) 1012.15\n",
            "Epoch 00296 | Time(s) 0.7460 | Loss 0.0819 | Accuracy 0.9732 | ETputs(KTEPS) 1012.29\n",
            "Epoch 00297 | Time(s) 0.7603 | Loss 0.0807 | Accuracy 0.9731 | ETputs(KTEPS) 1012.37\n",
            "Epoch 00298 | Time(s) 0.7615 | Loss 0.0808 | Accuracy 0.9730 | ETputs(KTEPS) 1012.44\n",
            "Epoch 00299 | Time(s) 0.7579 | Loss 0.0811 | Accuracy 0.9733 | ETputs(KTEPS) 1012.52\n",
            "Epoch 00300 | Time(s) 0.7543 | Loss 0.0801 | Accuracy 0.9734 | ETputs(KTEPS) 1012.62\n",
            "Epoch 00301 | Time(s) 0.7507 | Loss 0.0801 | Accuracy 0.9732 | ETputs(KTEPS) 1012.74\n",
            "Epoch 00302 | Time(s) 0.7643 | Loss 0.0803 | Accuracy 0.9735 | ETputs(KTEPS) 1012.79\n",
            "Epoch 00303 | Time(s) 0.7746 | Loss 0.0796 | Accuracy 0.9736 | ETputs(KTEPS) 1012.80\n",
            "Epoch 00304 | Time(s) 0.7703 | Loss 0.0794 | Accuracy 0.9735 | ETputs(KTEPS) 1012.83\n",
            "Epoch 00305 | Time(s) 0.7529 | Loss 0.0796 | Accuracy 0.9738 | ETputs(KTEPS) 1012.93\n",
            "Epoch 00306 | Time(s) 0.7491 | Loss 0.0791 | Accuracy 0.9737 | ETputs(KTEPS) 1013.05\n",
            "Epoch 00307 | Time(s) 0.7549 | Loss 0.0787 | Accuracy 0.9735 | ETputs(KTEPS) 1013.15\n",
            "Epoch 00308 | Time(s) 0.7820 | Loss 0.0788 | Accuracy 0.9738 | ETputs(KTEPS) 1013.13\n",
            "Epoch 00309 | Time(s) 0.7691 | Loss 0.0786 | Accuracy 0.9738 | ETputs(KTEPS) 1013.16\n",
            "Epoch 00310 | Time(s) 0.7558 | Loss 0.0782 | Accuracy 0.9737 | ETputs(KTEPS) 1013.25\n",
            "Epoch 00311 | Time(s) 0.7912 | Loss 0.0781 | Accuracy 0.9740 | ETputs(KTEPS) 1013.19\n",
            "Epoch 00312 | Time(s) 0.7797 | Loss 0.0781 | Accuracy 0.9738 | ETputs(KTEPS) 1013.18\n",
            "Epoch 00313 | Time(s) 0.7463 | Loss 0.0778 | Accuracy 0.9740 | ETputs(KTEPS) 1013.30\n",
            "Epoch 00314 | Time(s) 0.7509 | Loss 0.0774 | Accuracy 0.9741 | ETputs(KTEPS) 1013.41\n",
            "Epoch 00315 | Time(s) 0.7628 | Loss 0.0774 | Accuracy 0.9740 | ETputs(KTEPS) 1013.47\n",
            "Epoch 00316 | Time(s) 0.7436 | Loss 0.0773 | Accuracy 0.9742 | ETputs(KTEPS) 1013.60\n",
            "Epoch 00317 | Time(s) 0.7559 | Loss 0.0770 | Accuracy 0.9742 | ETputs(KTEPS) 1013.69\n",
            "Epoch 00318 | Time(s) 0.7483 | Loss 0.0767 | Accuracy 0.9741 | ETputs(KTEPS) 1013.80\n",
            "Epoch 00319 | Time(s) 0.7440 | Loss 0.0766 | Accuracy 0.9743 | ETputs(KTEPS) 1013.93\n",
            "Epoch 00320 | Time(s) 0.7897 | Loss 0.0765 | Accuracy 0.9742 | ETputs(KTEPS) 1013.88\n",
            "Epoch 00321 | Time(s) 0.8093 | Loss 0.0763 | Accuracy 0.9745 | ETputs(KTEPS) 1013.75\n",
            "Epoch 00322 | Time(s) 0.7534 | Loss 0.0760 | Accuracy 0.9745 | ETputs(KTEPS) 1013.84\n",
            "Epoch 00323 | Time(s) 0.7524 | Loss 0.0758 | Accuracy 0.9744 | ETputs(KTEPS) 1013.94\n",
            "Epoch 00324 | Time(s) 0.7607 | Loss 0.0757 | Accuracy 0.9745 | ETputs(KTEPS) 1014.00\n",
            "Epoch 00325 | Time(s) 0.7473 | Loss 0.0756 | Accuracy 0.9744 | ETputs(KTEPS) 1014.11\n",
            "Epoch 00326 | Time(s) 0.7398 | Loss 0.0754 | Accuracy 0.9747 | ETputs(KTEPS) 1014.26\n",
            "Epoch 00327 | Time(s) 0.7491 | Loss 0.0751 | Accuracy 0.9747 | ETputs(KTEPS) 1014.37\n",
            "Epoch 00328 | Time(s) 0.7670 | Loss 0.0749 | Accuracy 0.9747 | ETputs(KTEPS) 1014.40\n",
            "Epoch 00329 | Time(s) 0.8610 | Loss 0.0748 | Accuracy 0.9748 | ETputs(KTEPS) 1014.07\n",
            "Epoch 00330 | Time(s) 0.7769 | Loss 0.0747 | Accuracy 0.9747 | ETputs(KTEPS) 1014.06\n",
            "Epoch 00331 | Time(s) 0.7700 | Loss 0.0745 | Accuracy 0.9747 | ETputs(KTEPS) 1014.09\n",
            "Epoch 00332 | Time(s) 0.7500 | Loss 0.0743 | Accuracy 0.9748 | ETputs(KTEPS) 1014.19\n",
            "Epoch 00333 | Time(s) 0.7553 | Loss 0.0741 | Accuracy 0.9749 | ETputs(KTEPS) 1014.27\n",
            "Epoch 00334 | Time(s) 0.7527 | Loss 0.0739 | Accuracy 0.9749 | ETputs(KTEPS) 1014.36\n",
            "Epoch 00335 | Time(s) 0.7373 | Loss 0.0737 | Accuracy 0.9750 | ETputs(KTEPS) 1014.51\n",
            "Epoch 00336 | Time(s) 0.7594 | Loss 0.0736 | Accuracy 0.9750 | ETputs(KTEPS) 1014.58\n",
            "Epoch 00337 | Time(s) 0.7663 | Loss 0.0734 | Accuracy 0.9751 | ETputs(KTEPS) 1014.61\n",
            "Epoch 00338 | Time(s) 0.7984 | Loss 0.0732 | Accuracy 0.9751 | ETputs(KTEPS) 1014.53\n",
            "Epoch 00339 | Time(s) 0.7494 | Loss 0.0731 | Accuracy 0.9752 | ETputs(KTEPS) 1014.63\n",
            "Epoch 00340 | Time(s) 0.7580 | Loss 0.0730 | Accuracy 0.9752 | ETputs(KTEPS) 1014.70\n",
            "Epoch 00341 | Time(s) 0.7594 | Loss 0.0729 | Accuracy 0.9754 | ETputs(KTEPS) 1014.76\n",
            "Epoch 00342 | Time(s) 0.7674 | Loss 0.0728 | Accuracy 0.9753 | ETputs(KTEPS) 1014.79\n",
            "Epoch 00343 | Time(s) 0.7586 | Loss 0.0728 | Accuracy 0.9754 | ETputs(KTEPS) 1014.85\n",
            "Epoch 00344 | Time(s) 0.7736 | Loss 0.0730 | Accuracy 0.9752 | ETputs(KTEPS) 1014.86\n",
            "Epoch 00345 | Time(s) 0.7925 | Loss 0.0735 | Accuracy 0.9749 | ETputs(KTEPS) 1014.80\n",
            "Epoch 00346 | Time(s) 0.7921 | Loss 0.0744 | Accuracy 0.9743 | ETputs(KTEPS) 1014.74\n",
            "Epoch 00347 | Time(s) 0.7564 | Loss 0.0763 | Accuracy 0.9725 | ETputs(KTEPS) 1014.81\n",
            "Epoch 00348 | Time(s) 0.7609 | Loss 0.0803 | Accuracy 0.9698 | ETputs(KTEPS) 1014.86\n",
            "Epoch 00349 | Time(s) 0.7644 | Loss 0.0888 | Accuracy 0.9584 | ETputs(KTEPS) 1014.91\n",
            "Epoch 00350 | Time(s) 0.7597 | Loss 0.1126 | Accuracy 0.9334 | ETputs(KTEPS) 1014.97\n",
            "Epoch 00351 | Time(s) 0.7518 | Loss 0.1772 | Accuracy 0.8992 | ETputs(KTEPS) 1015.05\n",
            "Epoch 00352 | Time(s) 0.7507 | Loss 0.3681 | Accuracy 0.8794 | ETputs(KTEPS) 1015.14\n",
            "Epoch 00353 | Time(s) 0.7620 | Loss 0.3584 | Accuracy 0.9428 | ETputs(KTEPS) 1015.19\n",
            "Epoch 00354 | Time(s) 0.7740 | Loss 0.2221 | Accuracy 0.9420 | ETputs(KTEPS) 1015.20\n",
            "Epoch 00355 | Time(s) 0.8076 | Loss 0.2074 | Accuracy 0.9250 | ETputs(KTEPS) 1015.08\n",
            "Epoch 00356 | Time(s) 0.7527 | Loss 0.2170 | Accuracy 0.9544 | ETputs(KTEPS) 1015.16\n",
            "Epoch 00357 | Time(s) 0.7468 | Loss 0.1474 | Accuracy 0.9521 | ETputs(KTEPS) 1015.27\n",
            "Epoch 00358 | Time(s) 0.7411 | Loss 0.1462 | Accuracy 0.9560 | ETputs(KTEPS) 1015.39\n",
            "Epoch 00359 | Time(s) 0.7531 | Loss 0.1320 | Accuracy 0.9486 | ETputs(KTEPS) 1015.47\n",
            "Epoch 00360 | Time(s) 0.7501 | Loss 0.1534 | Accuracy 0.9525 | ETputs(KTEPS) 1015.56\n",
            "Epoch 00361 | Time(s) 0.7486 | Loss 0.1376 | Accuracy 0.9518 | ETputs(KTEPS) 1015.66\n",
            "Epoch 00362 | Time(s) 0.8530 | Loss 0.1318 | Accuracy 0.9544 | ETputs(KTEPS) 1015.38\n",
            "Epoch 00363 | Time(s) 0.7762 | Loss 0.1268 | Accuracy 0.9604 | ETputs(KTEPS) 1015.37\n",
            "Epoch 00364 | Time(s) 0.7695 | Loss 0.1117 | Accuracy 0.9568 | ETputs(KTEPS) 1015.39\n",
            "Epoch 00365 | Time(s) 0.7609 | Loss 0.1199 | Accuracy 0.9623 | ETputs(KTEPS) 1015.45\n",
            "Epoch 00366 | Time(s) 0.7678 | Loss 0.1116 | Accuracy 0.9622 | ETputs(KTEPS) 1015.47\n",
            "Epoch 00367 | Time(s) 0.7657 | Loss 0.1081 | Accuracy 0.9619 | ETputs(KTEPS) 1015.51\n",
            "Epoch 00368 | Time(s) 0.7658 | Loss 0.1086 | Accuracy 0.9641 | ETputs(KTEPS) 1015.54\n",
            "Epoch 00369 | Time(s) 0.7535 | Loss 0.1031 | Accuracy 0.9640 | ETputs(KTEPS) 1015.62\n",
            "Epoch 00370 | Time(s) 0.7752 | Loss 0.1030 | Accuracy 0.9636 | ETputs(KTEPS) 1015.61\n",
            "Epoch 00371 | Time(s) 0.8176 | Loss 0.1034 | Accuracy 0.9656 | ETputs(KTEPS) 1015.46\n",
            "Epoch 00372 | Time(s) 0.7805 | Loss 0.1000 | Accuracy 0.9666 | ETputs(KTEPS) 1015.45\n",
            "Epoch 00373 | Time(s) 0.7584 | Loss 0.0975 | Accuracy 0.9664 | ETputs(KTEPS) 1015.50\n",
            "Epoch 00374 | Time(s) 0.7520 | Loss 0.0961 | Accuracy 0.9672 | ETputs(KTEPS) 1015.59\n",
            "Epoch 00375 | Time(s) 0.7506 | Loss 0.0935 | Accuracy 0.9681 | ETputs(KTEPS) 1015.67\n",
            "Epoch 00376 | Time(s) 0.8514 | Loss 0.0921 | Accuracy 0.9689 | ETputs(KTEPS) 1015.40\n",
            "Epoch 00377 | Time(s) 0.7543 | Loss 0.0916 | Accuracy 0.9698 | ETputs(KTEPS) 1015.48\n",
            "Epoch 00378 | Time(s) 0.7428 | Loss 0.0898 | Accuracy 0.9701 | ETputs(KTEPS) 1015.59\n",
            "Epoch 00379 | Time(s) 0.7397 | Loss 0.0886 | Accuracy 0.9700 | ETputs(KTEPS) 1015.71\n",
            "Epoch 00380 | Time(s) 0.7674 | Loss 0.0889 | Accuracy 0.9704 | ETputs(KTEPS) 1015.74\n",
            "Epoch 00381 | Time(s) 0.7889 | Loss 0.0877 | Accuracy 0.9712 | ETputs(KTEPS) 1015.69\n",
            "Epoch 00382 | Time(s) 0.7536 | Loss 0.0859 | Accuracy 0.9710 | ETputs(KTEPS) 1015.76\n",
            "Epoch 00383 | Time(s) 0.7471 | Loss 0.0853 | Accuracy 0.9716 | ETputs(KTEPS) 1015.86\n",
            "Epoch 00384 | Time(s) 0.7460 | Loss 0.0843 | Accuracy 0.9717 | ETputs(KTEPS) 1015.95\n",
            "Epoch 00385 | Time(s) 0.7485 | Loss 0.0835 | Accuracy 0.9716 | ETputs(KTEPS) 1016.04\n",
            "Epoch 00386 | Time(s) 0.7734 | Loss 0.0832 | Accuracy 0.9720 | ETputs(KTEPS) 1016.05\n",
            "Epoch 00387 | Time(s) 0.7646 | Loss 0.0822 | Accuracy 0.9727 | ETputs(KTEPS) 1016.08\n",
            "Epoch 00388 | Time(s) 0.7958 | Loss 0.0812 | Accuracy 0.9728 | ETputs(KTEPS) 1016.01\n",
            "Epoch 00389 | Time(s) 0.7814 | Loss 0.0810 | Accuracy 0.9731 | ETputs(KTEPS) 1015.99\n",
            "Epoch 00390 | Time(s) 0.7545 | Loss 0.0806 | Accuracy 0.9734 | ETputs(KTEPS) 1016.06\n",
            "Epoch 00391 | Time(s) 0.7457 | Loss 0.0799 | Accuracy 0.9735 | ETputs(KTEPS) 1016.15\n",
            "Epoch 00392 | Time(s) 0.7456 | Loss 0.0794 | Accuracy 0.9734 | ETputs(KTEPS) 1016.25\n",
            "Epoch 00393 | Time(s) 0.7558 | Loss 0.0790 | Accuracy 0.9736 | ETputs(KTEPS) 1016.31\n",
            "Epoch 00394 | Time(s) 0.7495 | Loss 0.0785 | Accuracy 0.9741 | ETputs(KTEPS) 1016.40\n",
            "Epoch 00395 | Time(s) 0.7581 | Loss 0.0781 | Accuracy 0.9741 | ETputs(KTEPS) 1016.45\n",
            "Epoch 00396 | Time(s) 0.7745 | Loss 0.0776 | Accuracy 0.9742 | ETputs(KTEPS) 1016.45\n",
            "Epoch 00397 | Time(s) 0.7827 | Loss 0.0769 | Accuracy 0.9743 | ETputs(KTEPS) 1016.42\n",
            "Epoch 00398 | Time(s) 0.7954 | Loss 0.0766 | Accuracy 0.9743 | ETputs(KTEPS) 1016.35\n",
            "Epoch 00399 | Time(s) 0.7544 | Loss 0.0764 | Accuracy 0.9744 | ETputs(KTEPS) 1016.42\n",
            "Epoch 00400 | Time(s) 0.7478 | Loss 0.0759 | Accuracy 0.9744 | ETputs(KTEPS) 1016.50\n",
            "Epoch 00401 | Time(s) 0.7446 | Loss 0.0756 | Accuracy 0.9747 | ETputs(KTEPS) 1016.60\n",
            "Epoch 00402 | Time(s) 0.7330 | Loss 0.0754 | Accuracy 0.9745 | ETputs(KTEPS) 1016.74\n",
            "Epoch 00403 | Time(s) 0.7457 | Loss 0.0750 | Accuracy 0.9747 | ETputs(KTEPS) 1016.83\n",
            "Epoch 00404 | Time(s) 0.7497 | Loss 0.0747 | Accuracy 0.9749 | ETputs(KTEPS) 1016.91\n",
            "Epoch 00405 | Time(s) 0.7564 | Loss 0.0744 | Accuracy 0.9752 | ETputs(KTEPS) 1016.96\n",
            "Epoch 00406 | Time(s) 0.7821 | Loss 0.0741 | Accuracy 0.9753 | ETputs(KTEPS) 1016.94\n",
            "Epoch 00407 | Time(s) 0.7762 | Loss 0.0739 | Accuracy 0.9754 | ETputs(KTEPS) 1016.93\n",
            "Epoch 00408 | Time(s) 0.7628 | Loss 0.0736 | Accuracy 0.9754 | ETputs(KTEPS) 1016.97\n",
            "Epoch 00409 | Time(s) 0.7490 | Loss 0.0733 | Accuracy 0.9754 | ETputs(KTEPS) 1017.05\n",
            "Epoch 00410 | Time(s) 0.7661 | Loss 0.0731 | Accuracy 0.9756 | ETputs(KTEPS) 1017.07\n",
            "Epoch 00411 | Time(s) 0.7500 | Loss 0.0728 | Accuracy 0.9757 | ETputs(KTEPS) 1017.15\n",
            "Epoch 00412 | Time(s) 0.7785 | Loss 0.0726 | Accuracy 0.9758 | ETputs(KTEPS) 1017.13\n",
            "Epoch 00413 | Time(s) 0.8216 | Loss 0.0724 | Accuracy 0.9756 | ETputs(KTEPS) 1016.98\n",
            "Epoch 00414 | Time(s) 0.7695 | Loss 0.0722 | Accuracy 0.9758 | ETputs(KTEPS) 1017.00\n",
            "Epoch 00415 | Time(s) 0.7906 | Loss 0.0719 | Accuracy 0.9759 | ETputs(KTEPS) 1016.94\n",
            "Epoch 00416 | Time(s) 0.7712 | Loss 0.0717 | Accuracy 0.9760 | ETputs(KTEPS) 1016.95\n",
            "Epoch 00417 | Time(s) 0.7402 | Loss 0.0715 | Accuracy 0.9761 | ETputs(KTEPS) 1017.06\n",
            "Epoch 00418 | Time(s) 0.7458 | Loss 0.0713 | Accuracy 0.9761 | ETputs(KTEPS) 1017.15\n",
            "Epoch 00419 | Time(s) 0.7501 | Loss 0.0711 | Accuracy 0.9762 | ETputs(KTEPS) 1017.22\n",
            "Epoch 00420 | Time(s) 0.7665 | Loss 0.0709 | Accuracy 0.9763 | ETputs(KTEPS) 1017.24\n",
            "Epoch 00421 | Time(s) 0.7611 | Loss 0.0707 | Accuracy 0.9763 | ETputs(KTEPS) 1017.28\n",
            "Epoch 00422 | Time(s) 0.7515 | Loss 0.0705 | Accuracy 0.9764 | ETputs(KTEPS) 1017.35\n",
            "Epoch 00423 | Time(s) 0.7928 | Loss 0.0703 | Accuracy 0.9764 | ETputs(KTEPS) 1017.29\n",
            "Epoch 00424 | Time(s) 0.7722 | Loss 0.0702 | Accuracy 0.9765 | ETputs(KTEPS) 1017.30\n",
            "Epoch 00425 | Time(s) 0.7407 | Loss 0.0700 | Accuracy 0.9765 | ETputs(KTEPS) 1017.40\n",
            "Epoch 00426 | Time(s) 0.7529 | Loss 0.0698 | Accuracy 0.9765 | ETputs(KTEPS) 1017.46\n",
            "Epoch 00427 | Time(s) 0.7519 | Loss 0.0696 | Accuracy 0.9766 | ETputs(KTEPS) 1017.53\n",
            "Epoch 00428 | Time(s) 0.7547 | Loss 0.0694 | Accuracy 0.9766 | ETputs(KTEPS) 1017.59\n",
            "Epoch 00429 | Time(s) 0.7548 | Loss 0.0693 | Accuracy 0.9767 | ETputs(KTEPS) 1017.64\n",
            "Epoch 00430 | Time(s) 0.7552 | Loss 0.0691 | Accuracy 0.9767 | ETputs(KTEPS) 1017.70\n",
            "Epoch 00431 | Time(s) 0.8131 | Loss 0.0689 | Accuracy 0.9768 | ETputs(KTEPS) 1017.58\n",
            "Epoch 00432 | Time(s) 0.7651 | Loss 0.0688 | Accuracy 0.9768 | ETputs(KTEPS) 1017.61\n",
            "Epoch 00433 | Time(s) 0.7369 | Loss 0.0686 | Accuracy 0.9769 | ETputs(KTEPS) 1017.72\n",
            "Epoch 00434 | Time(s) 0.7488 | Loss 0.0685 | Accuracy 0.9769 | ETputs(KTEPS) 1017.79\n",
            "Epoch 00435 | Time(s) 0.7683 | Loss 0.0683 | Accuracy 0.9769 | ETputs(KTEPS) 1017.81\n",
            "Epoch 00436 | Time(s) 0.7508 | Loss 0.0682 | Accuracy 0.9769 | ETputs(KTEPS) 1017.87\n",
            "Epoch 00437 | Time(s) 0.7476 | Loss 0.0680 | Accuracy 0.9769 | ETputs(KTEPS) 1017.95\n",
            "Epoch 00438 | Time(s) 0.7461 | Loss 0.0679 | Accuracy 0.9769 | ETputs(KTEPS) 1018.03\n",
            "Epoch 00439 | Time(s) 0.7524 | Loss 0.0677 | Accuracy 0.9769 | ETputs(KTEPS) 1018.09\n",
            "Epoch 00440 | Time(s) 0.7898 | Loss 0.0676 | Accuracy 0.9770 | ETputs(KTEPS) 1018.04\n",
            "Epoch 00441 | Time(s) 0.8033 | Loss 0.0674 | Accuracy 0.9770 | ETputs(KTEPS) 1017.95\n",
            "Epoch 00442 | Time(s) 0.7614 | Loss 0.0673 | Accuracy 0.9771 | ETputs(KTEPS) 1017.99\n",
            "Epoch 00443 | Time(s) 0.7550 | Loss 0.0671 | Accuracy 0.9772 | ETputs(KTEPS) 1018.04\n",
            "Epoch 00444 | Time(s) 0.7413 | Loss 0.0670 | Accuracy 0.9772 | ETputs(KTEPS) 1018.14\n",
            "Epoch 00445 | Time(s) 0.7576 | Loss 0.0668 | Accuracy 0.9773 | ETputs(KTEPS) 1018.18\n",
            "Epoch 00446 | Time(s) 0.8170 | Loss 0.0667 | Accuracy 0.9774 | ETputs(KTEPS) 1018.05\n",
            "Epoch 00447 | Time(s) 0.7352 | Loss 0.0666 | Accuracy 0.9775 | ETputs(KTEPS) 1018.17\n",
            "Epoch 00448 | Time(s) 0.7904 | Loss 0.0664 | Accuracy 0.9776 | ETputs(KTEPS) 1018.11\n",
            "Epoch 00449 | Time(s) 0.7693 | Loss 0.0663 | Accuracy 0.9775 | ETputs(KTEPS) 1018.13\n",
            "Epoch 00450 | Time(s) 0.7487 | Loss 0.0662 | Accuracy 0.9776 | ETputs(KTEPS) 1018.20\n",
            "Epoch 00451 | Time(s) 0.7502 | Loss 0.0661 | Accuracy 0.9776 | ETputs(KTEPS) 1018.26\n",
            "Epoch 00452 | Time(s) 0.7700 | Loss 0.0659 | Accuracy 0.9776 | ETputs(KTEPS) 1018.27\n",
            "Epoch 00453 | Time(s) 0.7732 | Loss 0.0658 | Accuracy 0.9776 | ETputs(KTEPS) 1018.27\n",
            "Epoch 00454 | Time(s) 0.7533 | Loss 0.0657 | Accuracy 0.9776 | ETputs(KTEPS) 1018.33\n",
            "Epoch 00455 | Time(s) 0.7430 | Loss 0.0656 | Accuracy 0.9777 | ETputs(KTEPS) 1018.42\n",
            "Epoch 00456 | Time(s) 0.7442 | Loss 0.0654 | Accuracy 0.9777 | ETputs(KTEPS) 1018.50\n",
            "Epoch 00457 | Time(s) 0.7589 | Loss 0.0653 | Accuracy 0.9778 | ETputs(KTEPS) 1018.54\n",
            "Epoch 00458 | Time(s) 0.7711 | Loss 0.0652 | Accuracy 0.9778 | ETputs(KTEPS) 1018.54\n",
            "Epoch 00459 | Time(s) 0.7348 | Loss 0.0651 | Accuracy 0.9779 | ETputs(KTEPS) 1018.65\n",
            "Epoch 00460 | Time(s) 0.8127 | Loss 0.0649 | Accuracy 0.9779 | ETputs(KTEPS) 1018.54\n",
            "Epoch 00461 | Time(s) 0.7529 | Loss 0.0648 | Accuracy 0.9780 | ETputs(KTEPS) 1018.59\n",
            "Epoch 00462 | Time(s) 0.7405 | Loss 0.0647 | Accuracy 0.9780 | ETputs(KTEPS) 1018.69\n",
            "Epoch 00463 | Time(s) 0.7349 | Loss 0.0646 | Accuracy 0.9780 | ETputs(KTEPS) 1018.79\n",
            "Epoch 00464 | Time(s) 0.7444 | Loss 0.0645 | Accuracy 0.9780 | ETputs(KTEPS) 1018.87\n",
            "Epoch 00465 | Time(s) 0.7352 | Loss 0.0644 | Accuracy 0.9780 | ETputs(KTEPS) 1018.98\n",
            "Epoch 00466 | Time(s) 0.7621 | Loss 0.0643 | Accuracy 0.9781 | ETputs(KTEPS) 1019.01\n",
            "Epoch 00467 | Time(s) 0.7628 | Loss 0.0641 | Accuracy 0.9780 | ETputs(KTEPS) 1019.03\n",
            "Epoch 00468 | Time(s) 0.7307 | Loss 0.0640 | Accuracy 0.9781 | ETputs(KTEPS) 1019.15\n",
            "Epoch 00469 | Time(s) 0.7439 | Loss 0.0639 | Accuracy 0.9781 | ETputs(KTEPS) 1019.23\n",
            "Epoch 00470 | Time(s) 0.7322 | Loss 0.0638 | Accuracy 0.9781 | ETputs(KTEPS) 1019.34\n",
            "Epoch 00471 | Time(s) 0.7637 | Loss 0.0637 | Accuracy 0.9781 | ETputs(KTEPS) 1019.37\n",
            "Epoch 00472 | Time(s) 0.7487 | Loss 0.0636 | Accuracy 0.9782 | ETputs(KTEPS) 1019.43\n",
            "Epoch 00473 | Time(s) 0.7514 | Loss 0.0635 | Accuracy 0.9782 | ETputs(KTEPS) 1019.49\n",
            "Epoch 00474 | Time(s) 0.7871 | Loss 0.0634 | Accuracy 0.9782 | ETputs(KTEPS) 1019.45\n",
            "Epoch 00475 | Time(s) 0.7601 | Loss 0.0632 | Accuracy 0.9783 | ETputs(KTEPS) 1019.48\n",
            "Epoch 00476 | Time(s) 0.7442 | Loss 0.0631 | Accuracy 0.9783 | ETputs(KTEPS) 1019.56\n",
            "Epoch 00477 | Time(s) 0.7452 | Loss 0.0630 | Accuracy 0.9782 | ETputs(KTEPS) 1019.63\n",
            "Epoch 00478 | Time(s) 0.7485 | Loss 0.0629 | Accuracy 0.9783 | ETputs(KTEPS) 1019.70\n",
            "Epoch 00479 | Time(s) 0.7338 | Loss 0.0628 | Accuracy 0.9783 | ETputs(KTEPS) 1019.80\n",
            "Epoch 00480 | Time(s) 0.7444 | Loss 0.0627 | Accuracy 0.9783 | ETputs(KTEPS) 1019.88\n",
            "Epoch 00481 | Time(s) 0.7492 | Loss 0.0626 | Accuracy 0.9784 | ETputs(KTEPS) 1019.94\n",
            "Epoch 00482 | Time(s) 0.7338 | Loss 0.0625 | Accuracy 0.9784 | ETputs(KTEPS) 1020.04\n",
            "Epoch 00483 | Time(s) 0.7877 | Loss 0.0624 | Accuracy 0.9785 | ETputs(KTEPS) 1020.00\n",
            "Epoch 00484 | Time(s) 0.8026 | Loss 0.0623 | Accuracy 0.9785 | ETputs(KTEPS) 1019.92\n",
            "Epoch 00485 | Time(s) 0.7642 | Loss 0.0622 | Accuracy 0.9785 | ETputs(KTEPS) 1019.94\n",
            "Epoch 00486 | Time(s) 0.7558 | Loss 0.0621 | Accuracy 0.9785 | ETputs(KTEPS) 1019.98\n",
            "Epoch 00487 | Time(s) 0.7440 | Loss 0.0620 | Accuracy 0.9785 | ETputs(KTEPS) 1020.06\n",
            "Epoch 00488 | Time(s) 0.7424 | Loss 0.0619 | Accuracy 0.9785 | ETputs(KTEPS) 1020.13\n",
            "Epoch 00489 | Time(s) 0.7376 | Loss 0.0618 | Accuracy 0.9785 | ETputs(KTEPS) 1020.23\n",
            "Epoch 00490 | Time(s) 0.7447 | Loss 0.0617 | Accuracy 0.9786 | ETputs(KTEPS) 1020.30\n",
            "Epoch 00491 | Time(s) 0.7720 | Loss 0.0616 | Accuracy 0.9786 | ETputs(KTEPS) 1020.30\n",
            "Epoch 00492 | Time(s) 0.7700 | Loss 0.0615 | Accuracy 0.9786 | ETputs(KTEPS) 1020.30\n",
            "Epoch 00493 | Time(s) 0.7834 | Loss 0.0614 | Accuracy 0.9787 | ETputs(KTEPS) 1020.27\n",
            "Epoch 00494 | Time(s) 0.7759 | Loss 0.0613 | Accuracy 0.9787 | ETputs(KTEPS) 1020.26\n",
            "Epoch 00495 | Time(s) 0.7395 | Loss 0.0612 | Accuracy 0.9787 | ETputs(KTEPS) 1020.34\n",
            "Epoch 00496 | Time(s) 0.7561 | Loss 0.0611 | Accuracy 0.9787 | ETputs(KTEPS) 1020.38\n",
            "Epoch 00497 | Time(s) 0.8249 | Loss 0.0610 | Accuracy 0.9787 | ETputs(KTEPS) 1020.24\n",
            "Epoch 00498 | Time(s) 0.7390 | Loss 0.0609 | Accuracy 0.9788 | ETputs(KTEPS) 1020.33\n",
            "Epoch 00499 | Time(s) 0.7327 | Loss 0.0608 | Accuracy 0.9788 | ETputs(KTEPS) 1020.43\n",
            "Epoch 00500 | Time(s) 0.7736 | Loss 0.0607 | Accuracy 0.9789 | ETputs(KTEPS) 1020.42\n",
            "Epoch 00501 | Time(s) 0.7745 | Loss 0.0606 | Accuracy 0.9789 | ETputs(KTEPS) 1020.41\n",
            "Epoch 00502 | Time(s) 0.7391 | Loss 0.0605 | Accuracy 0.9790 | ETputs(KTEPS) 1020.50\n",
            "Epoch 00503 | Time(s) 0.7458 | Loss 0.0604 | Accuracy 0.9790 | ETputs(KTEPS) 1020.57\n",
            "Epoch 00504 | Time(s) 0.7403 | Loss 0.0603 | Accuracy 0.9789 | ETputs(KTEPS) 1020.65\n",
            "Epoch 00505 | Time(s) 0.7484 | Loss 0.0602 | Accuracy 0.9789 | ETputs(KTEPS) 1020.71\n",
            "Epoch 00506 | Time(s) 0.7546 | Loss 0.0601 | Accuracy 0.9789 | ETputs(KTEPS) 1020.75\n",
            "Epoch 00507 | Time(s) 0.7555 | Loss 0.0600 | Accuracy 0.9790 | ETputs(KTEPS) 1020.79\n",
            "Epoch 00508 | Time(s) 0.7574 | Loss 0.0599 | Accuracy 0.9790 | ETputs(KTEPS) 1020.83\n",
            "Epoch 00509 | Time(s) 0.7916 | Loss 0.0598 | Accuracy 0.9790 | ETputs(KTEPS) 1020.77\n",
            "Epoch 00510 | Time(s) 0.7781 | Loss 0.0597 | Accuracy 0.9790 | ETputs(KTEPS) 1020.76\n",
            "Epoch 00511 | Time(s) 0.7379 | Loss 0.0596 | Accuracy 0.9790 | ETputs(KTEPS) 1020.84\n",
            "Epoch 00512 | Time(s) 0.7522 | Loss 0.0595 | Accuracy 0.9790 | ETputs(KTEPS) 1020.89\n",
            "Epoch 00513 | Time(s) 0.7448 | Loss 0.0594 | Accuracy 0.9790 | ETputs(KTEPS) 1020.96\n",
            "Epoch 00514 | Time(s) 0.7453 | Loss 0.0593 | Accuracy 0.9791 | ETputs(KTEPS) 1021.02\n",
            "Epoch 00515 | Time(s) 0.7529 | Loss 0.0592 | Accuracy 0.9791 | ETputs(KTEPS) 1021.07\n",
            "Epoch 00516 | Time(s) 0.7374 | Loss 0.0591 | Accuracy 0.9791 | ETputs(KTEPS) 1021.15\n",
            "Epoch 00517 | Time(s) 0.7872 | Loss 0.0590 | Accuracy 0.9792 | ETputs(KTEPS) 1021.11\n",
            "Epoch 00518 | Time(s) 0.7746 | Loss 0.0590 | Accuracy 0.9792 | ETputs(KTEPS) 1021.10\n",
            "Epoch 00519 | Time(s) 0.7476 | Loss 0.0589 | Accuracy 0.9792 | ETputs(KTEPS) 1021.16\n",
            "Epoch 00520 | Time(s) 0.7491 | Loss 0.0588 | Accuracy 0.9793 | ETputs(KTEPS) 1021.22\n",
            "Epoch 00521 | Time(s) 0.7381 | Loss 0.0587 | Accuracy 0.9793 | ETputs(KTEPS) 1021.30\n",
            "Epoch 00522 | Time(s) 0.7459 | Loss 0.0586 | Accuracy 0.9793 | ETputs(KTEPS) 1021.36\n",
            "Epoch 00523 | Time(s) 0.7419 | Loss 0.0585 | Accuracy 0.9794 | ETputs(KTEPS) 1021.44\n",
            "Epoch 00524 | Time(s) 0.7444 | Loss 0.0584 | Accuracy 0.9794 | ETputs(KTEPS) 1021.50\n",
            "Epoch 00525 | Time(s) 0.7382 | Loss 0.0583 | Accuracy 0.9794 | ETputs(KTEPS) 1021.58\n",
            "Epoch 00526 | Time(s) 0.7676 | Loss 0.0582 | Accuracy 0.9795 | ETputs(KTEPS) 1021.59\n",
            "Epoch 00527 | Time(s) 0.7903 | Loss 0.0581 | Accuracy 0.9795 | ETputs(KTEPS) 1021.54\n",
            "Epoch 00528 | Time(s) 0.7423 | Loss 0.0580 | Accuracy 0.9795 | ETputs(KTEPS) 1021.61\n",
            "Epoch 00529 | Time(s) 0.7309 | Loss 0.0579 | Accuracy 0.9796 | ETputs(KTEPS) 1021.71\n",
            "Epoch 00530 | Time(s) 0.8242 | Loss 0.0579 | Accuracy 0.9796 | ETputs(KTEPS) 1021.58\n",
            "Epoch 00531 | Time(s) 0.7321 | Loss 0.0578 | Accuracy 0.9796 | ETputs(KTEPS) 1021.67\n",
            "Epoch 00532 | Time(s) 0.7399 | Loss 0.0577 | Accuracy 0.9796 | ETputs(KTEPS) 1021.75\n",
            "Epoch 00533 | Time(s) 0.7330 | Loss 0.0576 | Accuracy 0.9797 | ETputs(KTEPS) 1021.84\n",
            "Epoch 00534 | Time(s) 0.7601 | Loss 0.0575 | Accuracy 0.9797 | ETputs(KTEPS) 1021.87\n",
            "Epoch 00535 | Time(s) 0.7925 | Loss 0.0574 | Accuracy 0.9797 | ETputs(KTEPS) 1021.81\n",
            "Epoch 00536 | Time(s) 0.7756 | Loss 0.0573 | Accuracy 0.9798 | ETputs(KTEPS) 1021.80\n",
            "Epoch 00537 | Time(s) 0.7287 | Loss 0.0572 | Accuracy 0.9798 | ETputs(KTEPS) 1021.90\n",
            "Epoch 00538 | Time(s) 0.7515 | Loss 0.0571 | Accuracy 0.9799 | ETputs(KTEPS) 1021.95\n",
            "Epoch 00539 | Time(s) 0.7582 | Loss 0.0570 | Accuracy 0.9799 | ETputs(KTEPS) 1021.98\n",
            "Epoch 00540 | Time(s) 0.7428 | Loss 0.0570 | Accuracy 0.9799 | ETputs(KTEPS) 1022.04\n",
            "Epoch 00541 | Time(s) 0.7441 | Loss 0.0569 | Accuracy 0.9799 | ETputs(KTEPS) 1022.11\n",
            "Epoch 00542 | Time(s) 0.7318 | Loss 0.0568 | Accuracy 0.9800 | ETputs(KTEPS) 1022.20\n",
            "Epoch 00543 | Time(s) 0.7598 | Loss 0.0567 | Accuracy 0.9800 | ETputs(KTEPS) 1022.23\n",
            "Epoch 00544 | Time(s) 0.8338 | Loss 0.0566 | Accuracy 0.9800 | ETputs(KTEPS) 1022.07\n",
            "Epoch 00545 | Time(s) 0.7308 | Loss 0.0565 | Accuracy 0.9800 | ETputs(KTEPS) 1022.17\n",
            "Epoch 00546 | Time(s) 0.7459 | Loss 0.0564 | Accuracy 0.9800 | ETputs(KTEPS) 1022.22\n",
            "Epoch 00547 | Time(s) 0.7352 | Loss 0.0563 | Accuracy 0.9800 | ETputs(KTEPS) 1022.31\n",
            "Epoch 00548 | Time(s) 0.7297 | Loss 0.0563 | Accuracy 0.9801 | ETputs(KTEPS) 1022.41\n",
            "Epoch 00549 | Time(s) 0.7579 | Loss 0.0562 | Accuracy 0.9801 | ETputs(KTEPS) 1022.43\n",
            "Epoch 00550 | Time(s) 0.7491 | Loss 0.0561 | Accuracy 0.9802 | ETputs(KTEPS) 1022.48\n",
            "Epoch 00551 | Time(s) 0.7527 | Loss 0.0560 | Accuracy 0.9801 | ETputs(KTEPS) 1022.53\n",
            "Epoch 00552 | Time(s) 0.7848 | Loss 0.0559 | Accuracy 0.9801 | ETputs(KTEPS) 1022.49\n",
            "Epoch 00553 | Time(s) 0.7949 | Loss 0.0558 | Accuracy 0.9801 | ETputs(KTEPS) 1022.43\n",
            "Epoch 00554 | Time(s) 0.7683 | Loss 0.0557 | Accuracy 0.9801 | ETputs(KTEPS) 1022.43\n",
            "Epoch 00555 | Time(s) 0.7277 | Loss 0.0557 | Accuracy 0.9802 | ETputs(KTEPS) 1022.53\n",
            "Epoch 00556 | Time(s) 0.7458 | Loss 0.0556 | Accuracy 0.9802 | ETputs(KTEPS) 1022.59\n",
            "Epoch 00557 | Time(s) 0.7563 | Loss 0.0555 | Accuracy 0.9802 | ETputs(KTEPS) 1022.62\n",
            "Epoch 00558 | Time(s) 0.7389 | Loss 0.0554 | Accuracy 0.9803 | ETputs(KTEPS) 1022.70\n",
            "Epoch 00559 | Time(s) 0.7448 | Loss 0.0553 | Accuracy 0.9803 | ETputs(KTEPS) 1022.76\n",
            "Epoch 00560 | Time(s) 0.7341 | Loss 0.0552 | Accuracy 0.9804 | ETputs(KTEPS) 1022.84\n",
            "Epoch 00561 | Time(s) 0.7695 | Loss 0.0552 | Accuracy 0.9804 | ETputs(KTEPS) 1022.84\n",
            "Epoch 00562 | Time(s) 0.7815 | Loss 0.0551 | Accuracy 0.9804 | ETputs(KTEPS) 1022.81\n",
            "Epoch 00563 | Time(s) 0.7593 | Loss 0.0550 | Accuracy 0.9805 | ETputs(KTEPS) 1022.84\n",
            "Epoch 00564 | Time(s) 0.7368 | Loss 0.0549 | Accuracy 0.9805 | ETputs(KTEPS) 1022.91\n",
            "Epoch 00565 | Time(s) 0.7352 | Loss 0.0548 | Accuracy 0.9806 | ETputs(KTEPS) 1022.99\n",
            "Epoch 00566 | Time(s) 0.7456 | Loss 0.0547 | Accuracy 0.9806 | ETputs(KTEPS) 1023.05\n",
            "Epoch 00567 | Time(s) 0.7411 | Loss 0.0547 | Accuracy 0.9807 | ETputs(KTEPS) 1023.11\n",
            "Epoch 00568 | Time(s) 0.7489 | Loss 0.0546 | Accuracy 0.9807 | ETputs(KTEPS) 1023.16\n",
            "Epoch 00569 | Time(s) 0.7906 | Loss 0.0545 | Accuracy 0.9807 | ETputs(KTEPS) 1023.11\n",
            "Epoch 00570 | Time(s) 0.7520 | Loss 0.0544 | Accuracy 0.9807 | ETputs(KTEPS) 1023.15\n",
            "Epoch 00571 | Time(s) 0.7500 | Loss 0.0543 | Accuracy 0.9808 | ETputs(KTEPS) 1023.20\n",
            "Epoch 00572 | Time(s) 0.7587 | Loss 0.0543 | Accuracy 0.9808 | ETputs(KTEPS) 1023.22\n",
            "Epoch 00573 | Time(s) 0.7562 | Loss 0.0542 | Accuracy 0.9808 | ETputs(KTEPS) 1023.25\n",
            "Epoch 00574 | Time(s) 0.7564 | Loss 0.0541 | Accuracy 0.9808 | ETputs(KTEPS) 1023.28\n",
            "Epoch 00575 | Time(s) 0.7669 | Loss 0.0540 | Accuracy 0.9808 | ETputs(KTEPS) 1023.29\n",
            "Epoch 00576 | Time(s) 0.7523 | Loss 0.0539 | Accuracy 0.9808 | ETputs(KTEPS) 1023.33\n",
            "Epoch 00577 | Time(s) 0.7541 | Loss 0.0539 | Accuracy 0.9809 | ETputs(KTEPS) 1023.36\n",
            "Epoch 00578 | Time(s) 0.7856 | Loss 0.0538 | Accuracy 0.9809 | ETputs(KTEPS) 1023.32\n",
            "Epoch 00579 | Time(s) 0.7806 | Loss 0.0537 | Accuracy 0.9809 | ETputs(KTEPS) 1023.30\n",
            "Epoch 00580 | Time(s) 0.7459 | Loss 0.0536 | Accuracy 0.9809 | ETputs(KTEPS) 1023.35\n",
            "Epoch 00581 | Time(s) 0.8381 | Loss 0.0535 | Accuracy 0.9810 | ETputs(KTEPS) 1023.19\n",
            "Epoch 00582 | Time(s) 0.7697 | Loss 0.0535 | Accuracy 0.9810 | ETputs(KTEPS) 1023.19\n",
            "Epoch 00583 | Time(s) 0.7569 | Loss 0.0534 | Accuracy 0.9810 | ETputs(KTEPS) 1023.22\n",
            "Epoch 00584 | Time(s) 0.7609 | Loss 0.0533 | Accuracy 0.9810 | ETputs(KTEPS) 1023.24\n",
            "Epoch 00585 | Time(s) 0.7663 | Loss 0.0532 | Accuracy 0.9810 | ETputs(KTEPS) 1023.25\n",
            "Epoch 00586 | Time(s) 0.7814 | Loss 0.0532 | Accuracy 0.9811 | ETputs(KTEPS) 1023.22\n",
            "Epoch 00587 | Time(s) 0.7623 | Loss 0.0531 | Accuracy 0.9810 | ETputs(KTEPS) 1023.23\n",
            "Epoch 00588 | Time(s) 0.7309 | Loss 0.0530 | Accuracy 0.9810 | ETputs(KTEPS) 1023.32\n",
            "Epoch 00589 | Time(s) 0.7553 | Loss 0.0529 | Accuracy 0.9811 | ETputs(KTEPS) 1023.35\n",
            "Epoch 00590 | Time(s) 0.7478 | Loss 0.0528 | Accuracy 0.9810 | ETputs(KTEPS) 1023.40\n",
            "Epoch 00591 | Time(s) 0.7523 | Loss 0.0528 | Accuracy 0.9810 | ETputs(KTEPS) 1023.44\n",
            "Epoch 00592 | Time(s) 0.7451 | Loss 0.0527 | Accuracy 0.9810 | ETputs(KTEPS) 1023.49\n",
            "Epoch 00593 | Time(s) 0.7574 | Loss 0.0526 | Accuracy 0.9810 | ETputs(KTEPS) 1023.52\n",
            "Epoch 00594 | Time(s) 0.7533 | Loss 0.0525 | Accuracy 0.9811 | ETputs(KTEPS) 1023.55\n",
            "Epoch 00595 | Time(s) 0.7767 | Loss 0.0525 | Accuracy 0.9811 | ETputs(KTEPS) 1023.54\n",
            "Epoch 00596 | Time(s) 0.7965 | Loss 0.0524 | Accuracy 0.9810 | ETputs(KTEPS) 1023.47\n",
            "Epoch 00597 | Time(s) 0.7433 | Loss 0.0523 | Accuracy 0.9811 | ETputs(KTEPS) 1023.53\n",
            "Epoch 00598 | Time(s) 0.7475 | Loss 0.0522 | Accuracy 0.9811 | ETputs(KTEPS) 1023.58\n",
            "Epoch 00599 | Time(s) 0.7561 | Loss 0.0521 | Accuracy 0.9811 | ETputs(KTEPS) 1023.61\n",
            "Epoch 00600 | Time(s) 0.7282 | Loss 0.0521 | Accuracy 0.9811 | ETputs(KTEPS) 1023.70\n",
            "Epoch 00601 | Time(s) 0.7461 | Loss 0.0520 | Accuracy 0.9811 | ETputs(KTEPS) 1023.75\n",
            "Epoch 00602 | Time(s) 0.7370 | Loss 0.0519 | Accuracy 0.9812 | ETputs(KTEPS) 1023.82\n",
            "Epoch 00603 | Time(s) 0.7405 | Loss 0.0518 | Accuracy 0.9812 | ETputs(KTEPS) 1023.88\n",
            "Epoch 00604 | Time(s) 0.7873 | Loss 0.0518 | Accuracy 0.9812 | ETputs(KTEPS) 1023.84\n",
            "Epoch 00605 | Time(s) 0.7809 | Loss 0.0517 | Accuracy 0.9812 | ETputs(KTEPS) 1023.81\n",
            "Epoch 00606 | Time(s) 0.7464 | Loss 0.0516 | Accuracy 0.9812 | ETputs(KTEPS) 1023.86\n",
            "Epoch 00607 | Time(s) 0.7568 | Loss 0.0515 | Accuracy 0.9812 | ETputs(KTEPS) 1023.89\n",
            "Epoch 00608 | Time(s) 0.7419 | Loss 0.0515 | Accuracy 0.9812 | ETputs(KTEPS) 1023.95\n",
            "Epoch 00609 | Time(s) 0.7373 | Loss 0.0514 | Accuracy 0.9812 | ETputs(KTEPS) 1024.02\n",
            "Epoch 00610 | Time(s) 0.7508 | Loss 0.0513 | Accuracy 0.9813 | ETputs(KTEPS) 1024.06\n",
            "Epoch 00611 | Time(s) 0.7450 | Loss 0.0512 | Accuracy 0.9813 | ETputs(KTEPS) 1024.11\n",
            "Epoch 00612 | Time(s) 0.7853 | Loss 0.0512 | Accuracy 0.9813 | ETputs(KTEPS) 1024.07\n",
            "Epoch 00613 | Time(s) 0.7616 | Loss 0.0511 | Accuracy 0.9813 | ETputs(KTEPS) 1024.09\n",
            "Epoch 00614 | Time(s) 0.8401 | Loss 0.0510 | Accuracy 0.9812 | ETputs(KTEPS) 1023.93\n",
            "Epoch 00615 | Time(s) 0.7441 | Loss 0.0510 | Accuracy 0.9813 | ETputs(KTEPS) 1023.98\n",
            "Epoch 00616 | Time(s) 0.7741 | Loss 0.0509 | Accuracy 0.9813 | ETputs(KTEPS) 1023.97\n",
            "Epoch 00617 | Time(s) 0.7783 | Loss 0.0508 | Accuracy 0.9813 | ETputs(KTEPS) 1023.95\n",
            "Epoch 00618 | Time(s) 0.7525 | Loss 0.0507 | Accuracy 0.9814 | ETputs(KTEPS) 1023.99\n",
            "Epoch 00619 | Time(s) 0.7457 | Loss 0.0507 | Accuracy 0.9813 | ETputs(KTEPS) 1024.04\n",
            "Epoch 00620 | Time(s) 0.7409 | Loss 0.0506 | Accuracy 0.9814 | ETputs(KTEPS) 1024.10\n",
            "Epoch 00621 | Time(s) 0.7731 | Loss 0.0505 | Accuracy 0.9814 | ETputs(KTEPS) 1024.09\n",
            "Epoch 00622 | Time(s) 0.7877 | Loss 0.0504 | Accuracy 0.9815 | ETputs(KTEPS) 1024.04\n",
            "Epoch 00623 | Time(s) 0.7434 | Loss 0.0504 | Accuracy 0.9815 | ETputs(KTEPS) 1024.10\n",
            "Epoch 00624 | Time(s) 0.7412 | Loss 0.0503 | Accuracy 0.9814 | ETputs(KTEPS) 1024.16\n",
            "Epoch 00625 | Time(s) 0.7504 | Loss 0.0502 | Accuracy 0.9814 | ETputs(KTEPS) 1024.20\n",
            "Epoch 00626 | Time(s) 0.7347 | Loss 0.0502 | Accuracy 0.9814 | ETputs(KTEPS) 1024.27\n",
            "Epoch 00627 | Time(s) 0.7479 | Loss 0.0501 | Accuracy 0.9815 | ETputs(KTEPS) 1024.31\n",
            "Epoch 00628 | Time(s) 0.8289 | Loss 0.0500 | Accuracy 0.9815 | ETputs(KTEPS) 1024.18\n",
            "Epoch 00629 | Time(s) 0.7833 | Loss 0.0500 | Accuracy 0.9816 | ETputs(KTEPS) 1024.15\n",
            "Epoch 00630 | Time(s) 0.7869 | Loss 0.0499 | Accuracy 0.9814 | ETputs(KTEPS) 1024.11\n",
            "Epoch 00631 | Time(s) 0.7370 | Loss 0.0498 | Accuracy 0.9816 | ETputs(KTEPS) 1024.18\n",
            "Epoch 00632 | Time(s) 0.7394 | Loss 0.0497 | Accuracy 0.9815 | ETputs(KTEPS) 1024.24\n",
            "Epoch 00633 | Time(s) 0.7370 | Loss 0.0497 | Accuracy 0.9816 | ETputs(KTEPS) 1024.31\n",
            "Epoch 00634 | Time(s) 0.7277 | Loss 0.0496 | Accuracy 0.9817 | ETputs(KTEPS) 1024.39\n",
            "Epoch 00635 | Time(s) 0.7270 | Loss 0.0495 | Accuracy 0.9816 | ETputs(KTEPS) 1024.48\n",
            "Epoch 00636 | Time(s) 0.7465 | Loss 0.0494 | Accuracy 0.9817 | ETputs(KTEPS) 1024.52\n",
            "Epoch 00637 | Time(s) 0.7656 | Loss 0.0494 | Accuracy 0.9815 | ETputs(KTEPS) 1024.53\n",
            "Epoch 00638 | Time(s) 0.7662 | Loss 0.0493 | Accuracy 0.9817 | ETputs(KTEPS) 1024.53\n",
            "Epoch 00639 | Time(s) 0.7616 | Loss 0.0493 | Accuracy 0.9815 | ETputs(KTEPS) 1024.55\n",
            "Epoch 00640 | Time(s) 0.7540 | Loss 0.0492 | Accuracy 0.9816 | ETputs(KTEPS) 1024.58\n",
            "Epoch 00641 | Time(s) 0.7436 | Loss 0.0492 | Accuracy 0.9816 | ETputs(KTEPS) 1024.63\n",
            "Epoch 00642 | Time(s) 0.7394 | Loss 0.0491 | Accuracy 0.9816 | ETputs(KTEPS) 1024.69\n",
            "Epoch 00643 | Time(s) 0.7420 | Loss 0.0491 | Accuracy 0.9816 | ETputs(KTEPS) 1024.74\n",
            "Epoch 00644 | Time(s) 0.7469 | Loss 0.0490 | Accuracy 0.9816 | ETputs(KTEPS) 1024.79\n",
            "Epoch 00645 | Time(s) 0.7424 | Loss 0.0489 | Accuracy 0.9816 | ETputs(KTEPS) 1024.84\n",
            "Epoch 00646 | Time(s) 0.7249 | Loss 0.0488 | Accuracy 0.9817 | ETputs(KTEPS) 1024.93\n",
            "Epoch 00647 | Time(s) 0.7783 | Loss 0.0487 | Accuracy 0.9818 | ETputs(KTEPS) 1024.91\n",
            "Epoch 00648 | Time(s) 0.7895 | Loss 0.0486 | Accuracy 0.9818 | ETputs(KTEPS) 1024.86\n",
            "Epoch 00649 | Time(s) 0.7478 | Loss 0.0485 | Accuracy 0.9818 | ETputs(KTEPS) 1024.91\n",
            "Epoch 00650 | Time(s) 0.7475 | Loss 0.0485 | Accuracy 0.9817 | ETputs(KTEPS) 1024.95\n",
            "Epoch 00651 | Time(s) 0.7725 | Loss 0.0484 | Accuracy 0.9817 | ETputs(KTEPS) 1024.94\n",
            "Epoch 00652 | Time(s) 0.7399 | Loss 0.0484 | Accuracy 0.9817 | ETputs(KTEPS) 1025.00\n",
            "Epoch 00653 | Time(s) 0.7295 | Loss 0.0484 | Accuracy 0.9817 | ETputs(KTEPS) 1025.07\n",
            "Epoch 00654 | Time(s) 0.7378 | Loss 0.0484 | Accuracy 0.9818 | ETputs(KTEPS) 1025.13\n",
            "Epoch 00655 | Time(s) 0.7716 | Loss 0.0484 | Accuracy 0.9818 | ETputs(KTEPS) 1025.13\n",
            "Epoch 00656 | Time(s) 0.7576 | Loss 0.0485 | Accuracy 0.9818 | ETputs(KTEPS) 1025.15\n",
            "Epoch 00657 | Time(s) 0.7433 | Loss 0.0485 | Accuracy 0.9818 | ETputs(KTEPS) 1025.20\n",
            "Epoch 00658 | Time(s) 0.7681 | Loss 0.0485 | Accuracy 0.9818 | ETputs(KTEPS) 1025.20\n",
            "Epoch 00659 | Time(s) 0.7483 | Loss 0.0484 | Accuracy 0.9819 | ETputs(KTEPS) 1025.24\n",
            "Epoch 00660 | Time(s) 0.7443 | Loss 0.0483 | Accuracy 0.9819 | ETputs(KTEPS) 1025.28\n",
            "Epoch 00661 | Time(s) 0.7356 | Loss 0.0481 | Accuracy 0.9819 | ETputs(KTEPS) 1025.35\n",
            "Epoch 00662 | Time(s) 0.7500 | Loss 0.0479 | Accuracy 0.9819 | ETputs(KTEPS) 1025.38\n",
            "Epoch 00663 | Time(s) 0.7335 | Loss 0.0477 | Accuracy 0.9819 | ETputs(KTEPS) 1025.45\n",
            "Epoch 00664 | Time(s) 0.7773 | Loss 0.0476 | Accuracy 0.9820 | ETputs(KTEPS) 1025.43\n",
            "Epoch 00665 | Time(s) 0.8582 | Loss 0.0475 | Accuracy 0.9820 | ETputs(KTEPS) 1025.25\n",
            "Epoch 00666 | Time(s) 0.7331 | Loss 0.0474 | Accuracy 0.9820 | ETputs(KTEPS) 1025.32\n",
            "Epoch 00667 | Time(s) 0.7433 | Loss 0.0473 | Accuracy 0.9820 | ETputs(KTEPS) 1025.37\n",
            "Epoch 00668 | Time(s) 0.7318 | Loss 0.0473 | Accuracy 0.9820 | ETputs(KTEPS) 1025.44\n",
            "Epoch 00669 | Time(s) 0.7290 | Loss 0.0473 | Accuracy 0.9820 | ETputs(KTEPS) 1025.52\n",
            "Epoch 00670 | Time(s) 0.7478 | Loss 0.0475 | Accuracy 0.9820 | ETputs(KTEPS) 1025.56\n",
            "Epoch 00671 | Time(s) 0.7590 | Loss 0.0478 | Accuracy 0.9817 | ETputs(KTEPS) 1025.57\n",
            "Epoch 00672 | Time(s) 0.7549 | Loss 0.0487 | Accuracy 0.9812 | ETputs(KTEPS) 1025.60\n",
            "Epoch 00673 | Time(s) 0.7947 | Loss 0.0499 | Accuracy 0.9803 | ETputs(KTEPS) 1025.54\n",
            "Epoch 00674 | Time(s) 0.7776 | Loss 0.0525 | Accuracy 0.9793 | ETputs(KTEPS) 1025.52\n",
            "Epoch 00675 | Time(s) 0.7443 | Loss 0.0556 | Accuracy 0.9774 | ETputs(KTEPS) 1025.57\n",
            "Epoch 00676 | Time(s) 0.7512 | Loss 0.0623 | Accuracy 0.9684 | ETputs(KTEPS) 1025.60\n",
            "Epoch 00677 | Time(s) 0.7516 | Loss 0.0938 | Accuracy 0.9237 | ETputs(KTEPS) 1025.63\n",
            "Epoch 00678 | Time(s) 0.7424 | Loss 0.2273 | Accuracy 0.6326 | ETputs(KTEPS) 1025.68\n",
            "Epoch 00679 | Time(s) 0.7464 | Loss 2.3351 | Accuracy 0.6221 | ETputs(KTEPS) 1025.72\n",
            "Epoch 00680 | Time(s) 0.7415 | Loss 6.3268 | Accuracy 0.4181 | ETputs(KTEPS) 1025.78\n",
            "Epoch 00681 | Time(s) 0.7784 | Loss 19.3058 | Accuracy 0.7725 | ETputs(KTEPS) 1025.75\n",
            "Epoch 00682 | Time(s) 0.7768 | Loss 1.6367 | Accuracy 0.6930 | ETputs(KTEPS) 1025.73\n",
            "Epoch 00683 | Time(s) 0.7500 | Loss 6.0091 | Accuracy 0.7585 | ETputs(KTEPS) 1025.77\n",
            "Epoch 00684 | Time(s) 0.7510 | Loss 4.3391 | Accuracy 0.8362 | ETputs(KTEPS) 1025.80\n",
            "Epoch 00685 | Time(s) 0.7389 | Loss 2.2086 | Accuracy 0.7943 | ETputs(KTEPS) 1025.86\n",
            "Epoch 00686 | Time(s) 0.7418 | Loss 2.6956 | Accuracy 0.7977 | ETputs(KTEPS) 1025.91\n",
            "Epoch 00687 | Time(s) 0.7316 | Loss 2.2954 | Accuracy 0.8554 | ETputs(KTEPS) 1025.97\n",
            "Epoch 00688 | Time(s) 0.7447 | Loss 1.2383 | Accuracy 0.7776 | ETputs(KTEPS) 1026.02\n",
            "Epoch 00689 | Time(s) 0.7457 | Loss 2.0640 | Accuracy 0.8397 | ETputs(KTEPS) 1026.06\n",
            "Epoch 00690 | Time(s) 0.7546 | Loss 1.0207 | Accuracy 0.8118 | ETputs(KTEPS) 1026.08\n",
            "Epoch 00691 | Time(s) 0.7602 | Loss 1.0074 | Accuracy 0.6979 | ETputs(KTEPS) 1026.10\n",
            "Epoch 00692 | Time(s) 0.7431 | Loss 1.4737 | Accuracy 0.8324 | ETputs(KTEPS) 1026.14\n",
            "Epoch 00693 | Time(s) 0.7371 | Loss 0.5473 | Accuracy 0.7628 | ETputs(KTEPS) 1026.20\n",
            "Epoch 00694 | Time(s) 0.7427 | Loss 1.4095 | Accuracy 0.8798 | ETputs(KTEPS) 1026.25\n",
            "Epoch 00695 | Time(s) 0.7481 | Loss 0.4721 | Accuracy 0.8435 | ETputs(KTEPS) 1026.28\n",
            "Epoch 00696 | Time(s) 0.7513 | Loss 0.7526 | Accuracy 0.8440 | ETputs(KTEPS) 1026.31\n",
            "Epoch 00697 | Time(s) 0.7322 | Loss 0.8303 | Accuracy 0.8975 | ETputs(KTEPS) 1026.38\n",
            "Epoch 00698 | Time(s) 0.8563 | Loss 0.5812 | Accuracy 0.8699 | ETputs(KTEPS) 1026.21\n",
            "Epoch 00699 | Time(s) 0.7718 | Loss 0.6503 | Accuracy 0.8566 | ETputs(KTEPS) 1026.20\n",
            "Epoch 00700 | Time(s) 0.7659 | Loss 0.7434 | Accuracy 0.8689 | ETputs(KTEPS) 1026.20\n",
            "Epoch 00701 | Time(s) 0.7307 | Loss 0.6051 | Accuracy 0.9022 | ETputs(KTEPS) 1026.27\n",
            "Epoch 00702 | Time(s) 0.7529 | Loss 0.4332 | Accuracy 0.8874 | ETputs(KTEPS) 1026.30\n",
            "Epoch 00703 | Time(s) 0.7519 | Loss 0.4631 | Accuracy 0.8668 | ETputs(KTEPS) 1026.33\n",
            "Epoch 00704 | Time(s) 0.7406 | Loss 0.4778 | Accuracy 0.9014 | ETputs(KTEPS) 1026.38\n",
            "Epoch 00705 | Time(s) 0.7551 | Loss 0.3197 | Accuracy 0.8902 | ETputs(KTEPS) 1026.40\n",
            "Epoch 00706 | Time(s) 0.7540 | Loss 0.3526 | Accuracy 0.8660 | ETputs(KTEPS) 1026.42\n",
            "Epoch 00707 | Time(s) 0.7613 | Loss 0.4413 | Accuracy 0.8971 | ETputs(KTEPS) 1026.43\n",
            "Epoch 00708 | Time(s) 0.7377 | Loss 0.2934 | Accuracy 0.8606 | ETputs(KTEPS) 1026.49\n",
            "Epoch 00709 | Time(s) 0.7431 | Loss 0.3556 | Accuracy 0.8721 | ETputs(KTEPS) 1026.53\n",
            "Epoch 00710 | Time(s) 0.7325 | Loss 0.3386 | Accuracy 0.9152 | ETputs(KTEPS) 1026.60\n",
            "Epoch 00711 | Time(s) 0.7482 | Loss 0.2420 | Accuracy 0.9045 | ETputs(KTEPS) 1026.63\n",
            "Epoch 00712 | Time(s) 0.8141 | Loss 0.2827 | Accuracy 0.9000 | ETputs(KTEPS) 1026.54\n",
            "Epoch 00713 | Time(s) 0.7316 | Loss 0.2954 | Accuracy 0.9169 | ETputs(KTEPS) 1026.61\n",
            "Epoch 00714 | Time(s) 0.7395 | Loss 0.2434 | Accuracy 0.9168 | ETputs(KTEPS) 1026.66\n",
            "Epoch 00715 | Time(s) 0.7499 | Loss 0.2499 | Accuracy 0.9077 | ETputs(KTEPS) 1026.69\n",
            "Epoch 00716 | Time(s) 0.7979 | Loss 0.2791 | Accuracy 0.9150 | ETputs(KTEPS) 1026.63\n",
            "Epoch 00717 | Time(s) 0.7917 | Loss 0.2507 | Accuracy 0.9229 | ETputs(KTEPS) 1026.59\n",
            "Epoch 00718 | Time(s) 0.7423 | Loss 0.2264 | Accuracy 0.9099 | ETputs(KTEPS) 1026.63\n",
            "Epoch 00719 | Time(s) 0.7452 | Loss 0.2474 | Accuracy 0.9113 | ETputs(KTEPS) 1026.67\n",
            "Epoch 00720 | Time(s) 0.7473 | Loss 0.2415 | Accuracy 0.9232 | ETputs(KTEPS) 1026.71\n",
            "Epoch 00721 | Time(s) 0.7209 | Loss 0.2117 | Accuracy 0.9198 | ETputs(KTEPS) 1026.79\n",
            "Epoch 00722 | Time(s) 0.7467 | Loss 0.2201 | Accuracy 0.9163 | ETputs(KTEPS) 1026.83\n",
            "Epoch 00723 | Time(s) 0.7467 | Loss 0.2274 | Accuracy 0.9254 | ETputs(KTEPS) 1026.87\n",
            "Epoch 00724 | Time(s) 0.7597 | Loss 0.2045 | Accuracy 0.9235 | ETputs(KTEPS) 1026.88\n",
            "Epoch 00725 | Time(s) 0.7667 | Loss 0.2046 | Accuracy 0.9189 | ETputs(KTEPS) 1026.88\n",
            "Epoch 00726 | Time(s) 0.8065 | Loss 0.2149 | Accuracy 0.9254 | ETputs(KTEPS) 1026.81\n",
            "Epoch 00727 | Time(s) 0.7574 | Loss 0.2001 | Accuracy 0.9281 | ETputs(KTEPS) 1026.82\n",
            "Epoch 00728 | Time(s) 0.7540 | Loss 0.1950 | Accuracy 0.9250 | ETputs(KTEPS) 1026.85\n",
            "Epoch 00729 | Time(s) 0.7416 | Loss 0.2032 | Accuracy 0.9276 | ETputs(KTEPS) 1026.89\n",
            "Epoch 00730 | Time(s) 0.7351 | Loss 0.1974 | Accuracy 0.9290 | ETputs(KTEPS) 1026.95\n",
            "Epoch 00731 | Time(s) 0.7332 | Loss 0.1900 | Accuracy 0.9262 | ETputs(KTEPS) 1027.01\n",
            "Epoch 00732 | Time(s) 0.7364 | Loss 0.1945 | Accuracy 0.9257 | ETputs(KTEPS) 1027.07\n",
            "Epoch 00733 | Time(s) 0.7785 | Loss 0.1954 | Accuracy 0.9291 | ETputs(KTEPS) 1027.04\n",
            "Epoch 00734 | Time(s) 0.7442 | Loss 0.1885 | Accuracy 0.9320 | ETputs(KTEPS) 1027.08\n",
            "Epoch 00735 | Time(s) 0.7426 | Loss 0.1874 | Accuracy 0.9307 | ETputs(KTEPS) 1027.13\n",
            "Epoch 00736 | Time(s) 0.7335 | Loss 0.1902 | Accuracy 0.9318 | ETputs(KTEPS) 1027.19\n",
            "Epoch 00737 | Time(s) 0.7461 | Loss 0.1865 | Accuracy 0.9325 | ETputs(KTEPS) 1027.22\n",
            "Epoch 00738 | Time(s) 0.7479 | Loss 0.1821 | Accuracy 0.9310 | ETputs(KTEPS) 1027.26\n",
            "Epoch 00739 | Time(s) 0.7734 | Loss 0.1837 | Accuracy 0.9313 | ETputs(KTEPS) 1027.24\n",
            "Epoch 00740 | Time(s) 0.7698 | Loss 0.1834 | Accuracy 0.9342 | ETputs(KTEPS) 1027.24\n",
            "Epoch 00741 | Time(s) 0.7443 | Loss 0.1794 | Accuracy 0.9345 | ETputs(KTEPS) 1027.28\n",
            "Epoch 00742 | Time(s) 0.7538 | Loss 0.1792 | Accuracy 0.9340 | ETputs(KTEPS) 1027.30\n",
            "Epoch 00743 | Time(s) 0.7829 | Loss 0.1803 | Accuracy 0.9357 | ETputs(KTEPS) 1027.27\n",
            "Epoch 00744 | Time(s) 0.7418 | Loss 0.1776 | Accuracy 0.9361 | ETputs(KTEPS) 1027.31\n",
            "Epoch 00745 | Time(s) 0.7562 | Loss 0.1761 | Accuracy 0.9360 | ETputs(KTEPS) 1027.33\n",
            "Epoch 00746 | Time(s) 0.7386 | Loss 0.1770 | Accuracy 0.9365 | ETputs(KTEPS) 1027.38\n",
            "Epoch 00747 | Time(s) 0.7336 | Loss 0.1756 | Accuracy 0.9373 | ETputs(KTEPS) 1027.44\n",
            "Epoch 00748 | Time(s) 0.7494 | Loss 0.1737 | Accuracy 0.9370 | ETputs(KTEPS) 1027.47\n",
            "Epoch 00749 | Time(s) 0.8212 | Loss 0.1741 | Accuracy 0.9369 | ETputs(KTEPS) 1027.37\n",
            "Epoch 00750 | Time(s) 0.7457 | Loss 0.1739 | Accuracy 0.9377 | ETputs(KTEPS) 1027.41\n",
            "Epoch 00751 | Time(s) 0.7892 | Loss 0.1723 | Accuracy 0.9379 | ETputs(KTEPS) 1027.37\n",
            "Epoch 00752 | Time(s) 0.7745 | Loss 0.1720 | Accuracy 0.9378 | ETputs(KTEPS) 1027.35\n",
            "Epoch 00753 | Time(s) 0.7494 | Loss 0.1722 | Accuracy 0.9382 | ETputs(KTEPS) 1027.38\n",
            "Epoch 00754 | Time(s) 0.7259 | Loss 0.1711 | Accuracy 0.9384 | ETputs(KTEPS) 1027.45\n",
            "Epoch 00755 | Time(s) 0.7450 | Loss 0.1702 | Accuracy 0.9387 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00756 | Time(s) 0.7444 | Loss 0.1702 | Accuracy 0.9390 | ETputs(KTEPS) 1027.53\n",
            "Epoch 00757 | Time(s) 0.7505 | Loss 0.1696 | Accuracy 0.9393 | ETputs(KTEPS) 1027.56\n",
            "Epoch 00758 | Time(s) 0.7540 | Loss 0.1686 | Accuracy 0.9394 | ETputs(KTEPS) 1027.58\n",
            "Epoch 00759 | Time(s) 0.7807 | Loss 0.1684 | Accuracy 0.9397 | ETputs(KTEPS) 1027.55\n",
            "Epoch 00760 | Time(s) 0.8011 | Loss 0.1681 | Accuracy 0.9401 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00761 | Time(s) 0.7627 | Loss 0.1673 | Accuracy 0.9402 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00762 | Time(s) 0.7708 | Loss 0.1668 | Accuracy 0.9404 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00763 | Time(s) 0.7609 | Loss 0.1666 | Accuracy 0.9405 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00764 | Time(s) 0.7359 | Loss 0.1660 | Accuracy 0.9409 | ETputs(KTEPS) 1027.55\n",
            "Epoch 00765 | Time(s) 0.7464 | Loss 0.1654 | Accuracy 0.9409 | ETputs(KTEPS) 1027.58\n",
            "Epoch 00766 | Time(s) 0.7437 | Loss 0.1652 | Accuracy 0.9412 | ETputs(KTEPS) 1027.62\n",
            "Epoch 00767 | Time(s) 0.7837 | Loss 0.1648 | Accuracy 0.9412 | ETputs(KTEPS) 1027.59\n",
            "Epoch 00768 | Time(s) 0.7790 | Loss 0.1642 | Accuracy 0.9412 | ETputs(KTEPS) 1027.57\n",
            "Epoch 00769 | Time(s) 0.8100 | Loss 0.1639 | Accuracy 0.9413 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00770 | Time(s) 0.7506 | Loss 0.1636 | Accuracy 0.9416 | ETputs(KTEPS) 1027.52\n",
            "Epoch 00771 | Time(s) 0.7611 | Loss 0.1631 | Accuracy 0.9420 | ETputs(KTEPS) 1027.53\n",
            "Epoch 00772 | Time(s) 0.7561 | Loss 0.1627 | Accuracy 0.9421 | ETputs(KTEPS) 1027.54\n",
            "Epoch 00773 | Time(s) 0.7878 | Loss 0.1624 | Accuracy 0.9424 | ETputs(KTEPS) 1027.51\n",
            "Epoch 00774 | Time(s) 0.7473 | Loss 0.1620 | Accuracy 0.9426 | ETputs(KTEPS) 1027.54\n",
            "Epoch 00775 | Time(s) 0.7440 | Loss 0.1615 | Accuracy 0.9427 | ETputs(KTEPS) 1027.58\n",
            "Epoch 00776 | Time(s) 0.7678 | Loss 0.1612 | Accuracy 0.9428 | ETputs(KTEPS) 1027.57\n",
            "Epoch 00777 | Time(s) 0.7726 | Loss 0.1609 | Accuracy 0.9431 | ETputs(KTEPS) 1027.56\n",
            "Epoch 00778 | Time(s) 0.7621 | Loss 0.1605 | Accuracy 0.9434 | ETputs(KTEPS) 1027.57\n",
            "Epoch 00779 | Time(s) 0.7416 | Loss 0.1601 | Accuracy 0.9435 | ETputs(KTEPS) 1027.61\n",
            "Epoch 00780 | Time(s) 0.7712 | Loss 0.1598 | Accuracy 0.9438 | ETputs(KTEPS) 1027.60\n",
            "Epoch 00781 | Time(s) 0.7682 | Loss 0.1594 | Accuracy 0.9437 | ETputs(KTEPS) 1027.60\n",
            "Epoch 00782 | Time(s) 0.8485 | Loss 0.1591 | Accuracy 0.9437 | ETputs(KTEPS) 1027.46\n",
            "Epoch 00783 | Time(s) 0.7480 | Loss 0.1588 | Accuracy 0.9440 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00784 | Time(s) 0.7668 | Loss 0.1584 | Accuracy 0.9442 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00785 | Time(s) 0.7606 | Loss 0.1581 | Accuracy 0.9444 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00786 | Time(s) 0.7878 | Loss 0.1578 | Accuracy 0.9446 | ETputs(KTEPS) 1027.46\n",
            "Epoch 00787 | Time(s) 0.7501 | Loss 0.1575 | Accuracy 0.9449 | ETputs(KTEPS) 1027.48\n",
            "Epoch 00788 | Time(s) 0.7501 | Loss 0.1571 | Accuracy 0.9450 | ETputs(KTEPS) 1027.51\n",
            "Epoch 00789 | Time(s) 0.7724 | Loss 0.1568 | Accuracy 0.9451 | ETputs(KTEPS) 1027.50\n",
            "Epoch 00790 | Time(s) 0.7335 | Loss 0.1565 | Accuracy 0.9454 | ETputs(KTEPS) 1027.56\n",
            "Epoch 00791 | Time(s) 0.7493 | Loss 0.1562 | Accuracy 0.9455 | ETputs(KTEPS) 1027.58\n",
            "Epoch 00792 | Time(s) 0.7596 | Loss 0.1558 | Accuracy 0.9457 | ETputs(KTEPS) 1027.60\n",
            "Epoch 00793 | Time(s) 0.7596 | Loss 0.1555 | Accuracy 0.9459 | ETputs(KTEPS) 1027.61\n",
            "Epoch 00794 | Time(s) 0.7974 | Loss 0.1552 | Accuracy 0.9461 | ETputs(KTEPS) 1027.55\n",
            "Epoch 00795 | Time(s) 0.7986 | Loss 0.1549 | Accuracy 0.9462 | ETputs(KTEPS) 1027.50\n",
            "Epoch 00796 | Time(s) 0.8253 | Loss 0.1546 | Accuracy 0.9464 | ETputs(KTEPS) 1027.40\n",
            "Epoch 00797 | Time(s) 0.7591 | Loss 0.1543 | Accuracy 0.9465 | ETputs(KTEPS) 1027.41\n",
            "Epoch 00798 | Time(s) 0.7493 | Loss 0.1540 | Accuracy 0.9467 | ETputs(KTEPS) 1027.44\n",
            "Epoch 00799 | Time(s) 0.7444 | Loss 0.1537 | Accuracy 0.9468 | ETputs(KTEPS) 1027.47\n",
            "Epoch 00800 | Time(s) 0.7506 | Loss 0.1535 | Accuracy 0.9469 | ETputs(KTEPS) 1027.50\n",
            "Epoch 00801 | Time(s) 0.7456 | Loss 0.1532 | Accuracy 0.9471 | ETputs(KTEPS) 1027.53\n",
            "Epoch 00802 | Time(s) 0.7908 | Loss 0.1529 | Accuracy 0.9473 | ETputs(KTEPS) 1027.49\n",
            "Epoch 00803 | Time(s) 0.7712 | Loss 0.1526 | Accuracy 0.9474 | ETputs(KTEPS) 1027.48\n",
            "Epoch 00804 | Time(s) 0.7508 | Loss 0.1523 | Accuracy 0.9475 | ETputs(KTEPS) 1027.51\n",
            "Epoch 00805 | Time(s) 0.7492 | Loss 0.1520 | Accuracy 0.9476 | ETputs(KTEPS) 1027.54\n",
            "Epoch 00806 | Time(s) 0.7617 | Loss 0.1518 | Accuracy 0.9477 | ETputs(KTEPS) 1027.55\n",
            "Epoch 00807 | Time(s) 0.7538 | Loss 0.1515 | Accuracy 0.9478 | ETputs(KTEPS) 1027.57\n",
            "Epoch 00808 | Time(s) 0.7476 | Loss 0.1512 | Accuracy 0.9480 | ETputs(KTEPS) 1027.60\n",
            "Epoch 00809 | Time(s) 0.7416 | Loss 0.1509 | Accuracy 0.9480 | ETputs(KTEPS) 1027.64\n",
            "Epoch 00810 | Time(s) 0.7674 | Loss 0.1507 | Accuracy 0.9482 | ETputs(KTEPS) 1027.63\n",
            "Epoch 00811 | Time(s) 0.7710 | Loss 0.1504 | Accuracy 0.9483 | ETputs(KTEPS) 1027.63\n",
            "Epoch 00812 | Time(s) 0.7775 | Loss 0.1501 | Accuracy 0.9484 | ETputs(KTEPS) 1027.61\n",
            "Epoch 00813 | Time(s) 0.7449 | Loss 0.1499 | Accuracy 0.9485 | ETputs(KTEPS) 1027.64\n",
            "Epoch 00814 | Time(s) 0.7498 | Loss 0.1496 | Accuracy 0.9486 | ETputs(KTEPS) 1027.67\n",
            "Epoch 00815 | Time(s) 0.7555 | Loss 0.1493 | Accuracy 0.9489 | ETputs(KTEPS) 1027.69\n",
            "Epoch 00816 | Time(s) 0.7463 | Loss 0.1491 | Accuracy 0.9490 | ETputs(KTEPS) 1027.72\n",
            "Epoch 00817 | Time(s) 0.7614 | Loss 0.1488 | Accuracy 0.9491 | ETputs(KTEPS) 1027.72\n",
            "Epoch 00818 | Time(s) 0.7338 | Loss 0.1486 | Accuracy 0.9493 | ETputs(KTEPS) 1027.78\n",
            "Epoch 00819 | Time(s) 0.7579 | Loss 0.1483 | Accuracy 0.9494 | ETputs(KTEPS) 1027.79\n",
            "Epoch 00820 | Time(s) 0.7630 | Loss 0.1481 | Accuracy 0.9495 | ETputs(KTEPS) 1027.80\n",
            "Epoch 00821 | Time(s) 0.7742 | Loss 0.1478 | Accuracy 0.9495 | ETputs(KTEPS) 1027.78\n",
            "Epoch 00822 | Time(s) 0.7556 | Loss 0.1476 | Accuracy 0.9496 | ETputs(KTEPS) 1027.80\n",
            "Epoch 00823 | Time(s) 0.7504 | Loss 0.1473 | Accuracy 0.9498 | ETputs(KTEPS) 1027.82\n",
            "Epoch 00824 | Time(s) 0.7609 | Loss 0.1471 | Accuracy 0.9498 | ETputs(KTEPS) 1027.83\n",
            "Epoch 00825 | Time(s) 0.7628 | Loss 0.1468 | Accuracy 0.9499 | ETputs(KTEPS) 1027.84\n",
            "Epoch 00826 | Time(s) 0.7481 | Loss 0.1466 | Accuracy 0.9500 | ETputs(KTEPS) 1027.86\n",
            "Epoch 00827 | Time(s) 0.7453 | Loss 0.1463 | Accuracy 0.9502 | ETputs(KTEPS) 1027.90\n",
            "Epoch 00828 | Time(s) 0.7914 | Loss 0.1461 | Accuracy 0.9503 | ETputs(KTEPS) 1027.86\n",
            "Epoch 00829 | Time(s) 0.7671 | Loss 0.1459 | Accuracy 0.9504 | ETputs(KTEPS) 1027.85\n",
            "Epoch 00830 | Time(s) 0.7423 | Loss 0.1456 | Accuracy 0.9505 | ETputs(KTEPS) 1027.89\n",
            "Epoch 00831 | Time(s) 0.7379 | Loss 0.1454 | Accuracy 0.9506 | ETputs(KTEPS) 1027.94\n",
            "Epoch 00832 | Time(s) 0.7546 | Loss 0.1452 | Accuracy 0.9508 | ETputs(KTEPS) 1027.96\n",
            "Epoch 00833 | Time(s) 0.8270 | Loss 0.1449 | Accuracy 0.9509 | ETputs(KTEPS) 1027.86\n",
            "Epoch 00834 | Time(s) 0.7418 | Loss 0.1447 | Accuracy 0.9510 | ETputs(KTEPS) 1027.90\n",
            "Epoch 00835 | Time(s) 0.7312 | Loss 0.1445 | Accuracy 0.9510 | ETputs(KTEPS) 1027.95\n",
            "Epoch 00836 | Time(s) 0.7437 | Loss 0.1443 | Accuracy 0.9511 | ETputs(KTEPS) 1027.99\n",
            "Epoch 00837 | Time(s) 0.7857 | Loss 0.1440 | Accuracy 0.9513 | ETputs(KTEPS) 1027.95\n",
            "Epoch 00838 | Time(s) 0.7899 | Loss 0.1438 | Accuracy 0.9514 | ETputs(KTEPS) 1027.92\n",
            "Epoch 00839 | Time(s) 0.7553 | Loss 0.1436 | Accuracy 0.9515 | ETputs(KTEPS) 1027.93\n",
            "Epoch 00840 | Time(s) 0.7519 | Loss 0.1434 | Accuracy 0.9515 | ETputs(KTEPS) 1027.95\n",
            "Epoch 00841 | Time(s) 0.7402 | Loss 0.1431 | Accuracy 0.9515 | ETputs(KTEPS) 1027.99\n",
            "Epoch 00842 | Time(s) 0.7494 | Loss 0.1429 | Accuracy 0.9517 | ETputs(KTEPS) 1028.02\n",
            "Epoch 00843 | Time(s) 0.7434 | Loss 0.1427 | Accuracy 0.9519 | ETputs(KTEPS) 1028.06\n",
            "Epoch 00844 | Time(s) 0.7477 | Loss 0.1425 | Accuracy 0.9520 | ETputs(KTEPS) 1028.08\n",
            "Epoch 00845 | Time(s) 0.7695 | Loss 0.1423 | Accuracy 0.9521 | ETputs(KTEPS) 1028.08\n",
            "Epoch 00846 | Time(s) 0.7655 | Loss 0.1421 | Accuracy 0.9521 | ETputs(KTEPS) 1028.08\n",
            "Epoch 00847 | Time(s) 0.7508 | Loss 0.1419 | Accuracy 0.9522 | ETputs(KTEPS) 1028.10\n",
            "Epoch 00848 | Time(s) 0.7566 | Loss 0.1417 | Accuracy 0.9523 | ETputs(KTEPS) 1028.12\n",
            "Epoch 00849 | Time(s) 0.7522 | Loss 0.1415 | Accuracy 0.9524 | ETputs(KTEPS) 1028.14\n",
            "Epoch 00850 | Time(s) 0.7475 | Loss 0.1412 | Accuracy 0.9524 | ETputs(KTEPS) 1028.17\n",
            "Epoch 00851 | Time(s) 0.7390 | Loss 0.1410 | Accuracy 0.9525 | ETputs(KTEPS) 1028.21\n",
            "Epoch 00852 | Time(s) 0.7429 | Loss 0.1408 | Accuracy 0.9526 | ETputs(KTEPS) 1028.24\n",
            "Epoch 00853 | Time(s) 0.7470 | Loss 0.1406 | Accuracy 0.9527 | ETputs(KTEPS) 1028.27\n",
            "Epoch 00854 | Time(s) 0.7663 | Loss 0.1404 | Accuracy 0.9529 | ETputs(KTEPS) 1028.27\n",
            "Epoch 00855 | Time(s) 0.7838 | Loss 0.1402 | Accuracy 0.9530 | ETputs(KTEPS) 1028.24\n",
            "Epoch 00856 | Time(s) 0.7406 | Loss 0.1400 | Accuracy 0.9531 | ETputs(KTEPS) 1028.28\n",
            "Epoch 00857 | Time(s) 0.7404 | Loss 0.1398 | Accuracy 0.9532 | ETputs(KTEPS) 1028.32\n",
            "Epoch 00858 | Time(s) 0.7349 | Loss 0.1396 | Accuracy 0.9532 | ETputs(KTEPS) 1028.37\n",
            "Epoch 00859 | Time(s) 0.7562 | Loss 0.1394 | Accuracy 0.9533 | ETputs(KTEPS) 1028.38\n",
            "Epoch 00860 | Time(s) 0.7505 | Loss 0.1392 | Accuracy 0.9534 | ETputs(KTEPS) 1028.41\n",
            "Epoch 00861 | Time(s) 0.7488 | Loss 0.1391 | Accuracy 0.9536 | ETputs(KTEPS) 1028.43\n",
            "Epoch 00862 | Time(s) 0.7583 | Loss 0.1389 | Accuracy 0.9537 | ETputs(KTEPS) 1028.44\n",
            "Epoch 00863 | Time(s) 0.8022 | Loss 0.1387 | Accuracy 0.9537 | ETputs(KTEPS) 1028.39\n",
            "Epoch 00864 | Time(s) 0.7801 | Loss 0.1385 | Accuracy 0.9538 | ETputs(KTEPS) 1028.36\n",
            "Epoch 00865 | Time(s) 0.7432 | Loss 0.1383 | Accuracy 0.9538 | ETputs(KTEPS) 1028.40\n",
            "Epoch 00866 | Time(s) 0.8205 | Loss 0.1381 | Accuracy 0.9539 | ETputs(KTEPS) 1028.31\n",
            "Epoch 00867 | Time(s) 0.7452 | Loss 0.1379 | Accuracy 0.9540 | ETputs(KTEPS) 1028.34\n",
            "Epoch 00868 | Time(s) 0.7504 | Loss 0.1377 | Accuracy 0.9542 | ETputs(KTEPS) 1028.37\n",
            "Epoch 00869 | Time(s) 0.7464 | Loss 0.1375 | Accuracy 0.9542 | ETputs(KTEPS) 1028.40\n",
            "Epoch 00870 | Time(s) 0.7554 | Loss 0.1373 | Accuracy 0.9543 | ETputs(KTEPS) 1028.41\n",
            "Epoch 00871 | Time(s) 0.7898 | Loss 0.1372 | Accuracy 0.9543 | ETputs(KTEPS) 1028.37\n",
            "Epoch 00872 | Time(s) 0.7725 | Loss 0.1370 | Accuracy 0.9543 | ETputs(KTEPS) 1028.36\n",
            "Epoch 00873 | Time(s) 0.7546 | Loss 0.1368 | Accuracy 0.9544 | ETputs(KTEPS) 1028.38\n",
            "Epoch 00874 | Time(s) 0.7550 | Loss 0.1366 | Accuracy 0.9545 | ETputs(KTEPS) 1028.39\n",
            "Epoch 00875 | Time(s) 0.7348 | Loss 0.1364 | Accuracy 0.9546 | ETputs(KTEPS) 1028.44\n",
            "Epoch 00876 | Time(s) 0.7464 | Loss 0.1362 | Accuracy 0.9547 | ETputs(KTEPS) 1028.47\n",
            "Epoch 00877 | Time(s) 0.7389 | Loss 0.1361 | Accuracy 0.9547 | ETputs(KTEPS) 1028.51\n",
            "Epoch 00878 | Time(s) 0.7334 | Loss 0.1359 | Accuracy 0.9548 | ETputs(KTEPS) 1028.56\n",
            "Epoch 00879 | Time(s) 0.7424 | Loss 0.1357 | Accuracy 0.9549 | ETputs(KTEPS) 1028.59\n",
            "Epoch 00880 | Time(s) 0.8594 | Loss 0.1355 | Accuracy 0.9550 | ETputs(KTEPS) 1028.45\n",
            "Epoch 00881 | Time(s) 0.7959 | Loss 0.1353 | Accuracy 0.9550 | ETputs(KTEPS) 1028.40\n",
            "Epoch 00882 | Time(s) 0.7490 | Loss 0.1352 | Accuracy 0.9551 | ETputs(KTEPS) 1028.43\n",
            "Epoch 00883 | Time(s) 0.7485 | Loss 0.1350 | Accuracy 0.9551 | ETputs(KTEPS) 1028.46\n",
            "Epoch 00884 | Time(s) 0.7412 | Loss 0.1348 | Accuracy 0.9552 | ETputs(KTEPS) 1028.49\n",
            "Epoch 00885 | Time(s) 0.7464 | Loss 0.1346 | Accuracy 0.9552 | ETputs(KTEPS) 1028.52\n",
            "Epoch 00886 | Time(s) 0.7348 | Loss 0.1345 | Accuracy 0.9553 | ETputs(KTEPS) 1028.57\n",
            "Epoch 00887 | Time(s) 0.7475 | Loss 0.1343 | Accuracy 0.9554 | ETputs(KTEPS) 1028.59\n",
            "Epoch 00888 | Time(s) 0.7440 | Loss 0.1341 | Accuracy 0.9554 | ETputs(KTEPS) 1028.63\n",
            "Epoch 00889 | Time(s) 0.7766 | Loss 0.1339 | Accuracy 0.9556 | ETputs(KTEPS) 1028.61\n",
            "Epoch 00890 | Time(s) 0.7964 | Loss 0.1338 | Accuracy 0.9557 | ETputs(KTEPS) 1028.56\n",
            "Epoch 00891 | Time(s) 0.7479 | Loss 0.1336 | Accuracy 0.9557 | ETputs(KTEPS) 1028.59\n",
            "Epoch 00892 | Time(s) 0.7456 | Loss 0.1334 | Accuracy 0.9557 | ETputs(KTEPS) 1028.62\n",
            "Epoch 00893 | Time(s) 0.7467 | Loss 0.1333 | Accuracy 0.9558 | ETputs(KTEPS) 1028.64\n",
            "Epoch 00894 | Time(s) 0.7422 | Loss 0.1331 | Accuracy 0.9559 | ETputs(KTEPS) 1028.68\n",
            "Epoch 00895 | Time(s) 0.7346 | Loss 0.1329 | Accuracy 0.9559 | ETputs(KTEPS) 1028.73\n",
            "Epoch 00896 | Time(s) 0.7530 | Loss 0.1328 | Accuracy 0.9560 | ETputs(KTEPS) 1028.74\n",
            "Epoch 00897 | Time(s) 0.7817 | Loss 0.1326 | Accuracy 0.9561 | ETputs(KTEPS) 1028.72\n",
            "Epoch 00898 | Time(s) 0.7582 | Loss 0.1324 | Accuracy 0.9562 | ETputs(KTEPS) 1028.73\n",
            "Epoch 00899 | Time(s) 0.7502 | Loss 0.1323 | Accuracy 0.9563 | ETputs(KTEPS) 1028.75\n",
            "Epoch 00900 | Time(s) 0.7429 | Loss 0.1321 | Accuracy 0.9564 | ETputs(KTEPS) 1028.78\n",
            "Epoch 00901 | Time(s) 0.7466 | Loss 0.1319 | Accuracy 0.9564 | ETputs(KTEPS) 1028.81\n",
            "Epoch 00902 | Time(s) 0.7495 | Loss 0.1318 | Accuracy 0.9566 | ETputs(KTEPS) 1028.84\n",
            "Epoch 00903 | Time(s) 0.7457 | Loss 0.1316 | Accuracy 0.9566 | ETputs(KTEPS) 1028.86\n",
            "Epoch 00904 | Time(s) 0.7655 | Loss 0.1315 | Accuracy 0.9567 | ETputs(KTEPS) 1028.86\n",
            "Epoch 00905 | Time(s) 0.7733 | Loss 0.1313 | Accuracy 0.9568 | ETputs(KTEPS) 1028.85\n",
            "Epoch 00906 | Time(s) 0.7741 | Loss 0.1311 | Accuracy 0.9569 | ETputs(KTEPS) 1028.84\n",
            "Epoch 00907 | Time(s) 0.7864 | Loss 0.1310 | Accuracy 0.9569 | ETputs(KTEPS) 1028.81\n",
            "Epoch 00908 | Time(s) 0.7333 | Loss 0.1308 | Accuracy 0.9570 | ETputs(KTEPS) 1028.85\n",
            "Epoch 00909 | Time(s) 0.7493 | Loss 0.1307 | Accuracy 0.9571 | ETputs(KTEPS) 1028.88\n",
            "Epoch 00910 | Time(s) 0.7371 | Loss 0.1305 | Accuracy 0.9572 | ETputs(KTEPS) 1028.92\n",
            "Epoch 00911 | Time(s) 0.7404 | Loss 0.1304 | Accuracy 0.9572 | ETputs(KTEPS) 1028.95\n",
            "Epoch 00912 | Time(s) 0.7470 | Loss 0.1302 | Accuracy 0.9572 | ETputs(KTEPS) 1028.98\n",
            "Epoch 00913 | Time(s) 0.7400 | Loss 0.1301 | Accuracy 0.9573 | ETputs(KTEPS) 1029.02\n",
            "Epoch 00914 | Time(s) 0.7604 | Loss 0.1299 | Accuracy 0.9573 | ETputs(KTEPS) 1029.02\n",
            "Epoch 00915 | Time(s) 0.7761 | Loss 0.1298 | Accuracy 0.9574 | ETputs(KTEPS) 1029.01\n",
            "Epoch 00916 | Time(s) 0.8006 | Loss 0.1296 | Accuracy 0.9574 | ETputs(KTEPS) 1028.95\n",
            "Epoch 00917 | Time(s) 0.8202 | Loss 0.1294 | Accuracy 0.9574 | ETputs(KTEPS) 1028.87\n",
            "Epoch 00918 | Time(s) 0.7468 | Loss 0.1293 | Accuracy 0.9574 | ETputs(KTEPS) 1028.90\n",
            "Epoch 00919 | Time(s) 0.7432 | Loss 0.1291 | Accuracy 0.9574 | ETputs(KTEPS) 1028.93\n",
            "Epoch 00920 | Time(s) 0.7475 | Loss 0.1290 | Accuracy 0.9574 | ETputs(KTEPS) 1028.96\n",
            "Epoch 00921 | Time(s) 0.7455 | Loss 0.1288 | Accuracy 0.9575 | ETputs(KTEPS) 1028.99\n",
            "Epoch 00922 | Time(s) 0.7493 | Loss 0.1287 | Accuracy 0.9575 | ETputs(KTEPS) 1029.01\n",
            "Epoch 00923 | Time(s) 0.7778 | Loss 0.1286 | Accuracy 0.9576 | ETputs(KTEPS) 1028.99\n",
            "Epoch 00924 | Time(s) 0.7675 | Loss 0.1284 | Accuracy 0.9576 | ETputs(KTEPS) 1028.99\n",
            "Epoch 00925 | Time(s) 0.7481 | Loss 0.1283 | Accuracy 0.9577 | ETputs(KTEPS) 1029.01\n",
            "Epoch 00926 | Time(s) 0.7773 | Loss 0.1281 | Accuracy 0.9578 | ETputs(KTEPS) 1028.99\n",
            "Epoch 00927 | Time(s) 0.7438 | Loss 0.1280 | Accuracy 0.9578 | ETputs(KTEPS) 1029.02\n",
            "Epoch 00928 | Time(s) 0.7567 | Loss 0.1278 | Accuracy 0.9578 | ETputs(KTEPS) 1029.04\n",
            "Epoch 00929 | Time(s) 0.7514 | Loss 0.1277 | Accuracy 0.9579 | ETputs(KTEPS) 1029.05\n",
            "Epoch 00930 | Time(s) 0.7550 | Loss 0.1275 | Accuracy 0.9579 | ETputs(KTEPS) 1029.07\n",
            "Epoch 00931 | Time(s) 0.7443 | Loss 0.1274 | Accuracy 0.9580 | ETputs(KTEPS) 1029.10\n",
            "Epoch 00932 | Time(s) 0.7701 | Loss 0.1272 | Accuracy 0.9579 | ETputs(KTEPS) 1029.09\n",
            "Epoch 00933 | Time(s) 0.8238 | Loss 0.1271 | Accuracy 0.9580 | ETputs(KTEPS) 1029.01\n",
            "Epoch 00934 | Time(s) 0.7369 | Loss 0.1270 | Accuracy 0.9581 | ETputs(KTEPS) 1029.05\n",
            "Epoch 00935 | Time(s) 0.7548 | Loss 0.1268 | Accuracy 0.9581 | ETputs(KTEPS) 1029.06\n",
            "Epoch 00936 | Time(s) 0.7577 | Loss 0.1267 | Accuracy 0.9581 | ETputs(KTEPS) 1029.07\n",
            "Epoch 00937 | Time(s) 0.7688 | Loss 0.1265 | Accuracy 0.9582 | ETputs(KTEPS) 1029.07\n",
            "Epoch 00938 | Time(s) 0.7465 | Loss 0.1264 | Accuracy 0.9582 | ETputs(KTEPS) 1029.09\n",
            "Epoch 00939 | Time(s) 0.7365 | Loss 0.1263 | Accuracy 0.9582 | ETputs(KTEPS) 1029.13\n",
            "Epoch 00940 | Time(s) 0.7541 | Loss 0.1261 | Accuracy 0.9582 | ETputs(KTEPS) 1029.15\n",
            "Epoch 00941 | Time(s) 0.7704 | Loss 0.1260 | Accuracy 0.9583 | ETputs(KTEPS) 1029.14\n",
            "Epoch 00942 | Time(s) 0.7439 | Loss 0.1259 | Accuracy 0.9583 | ETputs(KTEPS) 1029.17\n",
            "Epoch 00943 | Time(s) 0.7504 | Loss 0.1257 | Accuracy 0.9583 | ETputs(KTEPS) 1029.19\n",
            "Epoch 00944 | Time(s) 0.7471 | Loss 0.1256 | Accuracy 0.9583 | ETputs(KTEPS) 1029.22\n",
            "Epoch 00945 | Time(s) 0.7590 | Loss 0.1255 | Accuracy 0.9584 | ETputs(KTEPS) 1029.22\n",
            "Epoch 00946 | Time(s) 0.7783 | Loss 0.1253 | Accuracy 0.9585 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00947 | Time(s) 0.7539 | Loss 0.1252 | Accuracy 0.9585 | ETputs(KTEPS) 1029.22\n",
            "Epoch 00948 | Time(s) 0.7571 | Loss 0.1251 | Accuracy 0.9585 | ETputs(KTEPS) 1029.23\n",
            "Epoch 00949 | Time(s) 0.7881 | Loss 0.1249 | Accuracy 0.9586 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00950 | Time(s) 0.8734 | Loss 0.1248 | Accuracy 0.9586 | ETputs(KTEPS) 1029.04\n",
            "Epoch 00951 | Time(s) 0.7396 | Loss 0.1247 | Accuracy 0.9587 | ETputs(KTEPS) 1029.08\n",
            "Epoch 00952 | Time(s) 0.7406 | Loss 0.1245 | Accuracy 0.9587 | ETputs(KTEPS) 1029.11\n",
            "Epoch 00953 | Time(s) 0.7460 | Loss 0.1244 | Accuracy 0.9588 | ETputs(KTEPS) 1029.14\n",
            "Epoch 00954 | Time(s) 0.7430 | Loss 0.1243 | Accuracy 0.9589 | ETputs(KTEPS) 1029.17\n",
            "Epoch 00955 | Time(s) 0.7494 | Loss 0.1241 | Accuracy 0.9590 | ETputs(KTEPS) 1029.19\n",
            "Epoch 00956 | Time(s) 0.7532 | Loss 0.1240 | Accuracy 0.9590 | ETputs(KTEPS) 1029.21\n",
            "Epoch 00957 | Time(s) 0.7394 | Loss 0.1239 | Accuracy 0.9591 | ETputs(KTEPS) 1029.25\n",
            "Epoch 00958 | Time(s) 0.7864 | Loss 0.1238 | Accuracy 0.9591 | ETputs(KTEPS) 1029.21\n",
            "Epoch 00959 | Time(s) 0.7920 | Loss 0.1236 | Accuracy 0.9591 | ETputs(KTEPS) 1029.18\n",
            "Epoch 00960 | Time(s) 0.7514 | Loss 0.1235 | Accuracy 0.9592 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00961 | Time(s) 0.7510 | Loss 0.1234 | Accuracy 0.9593 | ETputs(KTEPS) 1029.21\n",
            "Epoch 00962 | Time(s) 0.7503 | Loss 0.1233 | Accuracy 0.9593 | ETputs(KTEPS) 1029.23\n",
            "Epoch 00963 | Time(s) 0.7419 | Loss 0.1231 | Accuracy 0.9594 | ETputs(KTEPS) 1029.27\n",
            "Epoch 00964 | Time(s) 0.8239 | Loss 0.1230 | Accuracy 0.9594 | ETputs(KTEPS) 1029.18\n",
            "Epoch 00965 | Time(s) 0.7491 | Loss 0.1229 | Accuracy 0.9594 | ETputs(KTEPS) 1029.21\n",
            "Epoch 00966 | Time(s) 0.7719 | Loss 0.1228 | Accuracy 0.9595 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00967 | Time(s) 0.7868 | Loss 0.1226 | Accuracy 0.9595 | ETputs(KTEPS) 1029.17\n",
            "Epoch 00968 | Time(s) 0.7438 | Loss 0.1225 | Accuracy 0.9596 | ETputs(KTEPS) 1029.19\n",
            "Epoch 00969 | Time(s) 0.7591 | Loss 0.1224 | Accuracy 0.9596 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00970 | Time(s) 0.7570 | Loss 0.1223 | Accuracy 0.9597 | ETputs(KTEPS) 1029.21\n",
            "Epoch 00971 | Time(s) 0.7708 | Loss 0.1221 | Accuracy 0.9597 | ETputs(KTEPS) 1029.20\n",
            "Epoch 00972 | Time(s) 0.7515 | Loss 0.1220 | Accuracy 0.9597 | ETputs(KTEPS) 1029.22\n",
            "Epoch 00973 | Time(s) 0.7342 | Loss 0.1219 | Accuracy 0.9598 | ETputs(KTEPS) 1029.27\n",
            "Epoch 00974 | Time(s) 0.7394 | Loss 0.1218 | Accuracy 0.9599 | ETputs(KTEPS) 1029.30\n",
            "Epoch 00975 | Time(s) 0.7550 | Loss 0.1217 | Accuracy 0.9599 | ETputs(KTEPS) 1029.31\n",
            "Epoch 00976 | Time(s) 0.7824 | Loss 0.1215 | Accuracy 0.9599 | ETputs(KTEPS) 1029.29\n",
            "Epoch 00977 | Time(s) 0.7511 | Loss 0.1214 | Accuracy 0.9599 | ETputs(KTEPS) 1029.31\n",
            "Epoch 00978 | Time(s) 0.7317 | Loss 0.1213 | Accuracy 0.9600 | ETputs(KTEPS) 1029.35\n",
            "Epoch 00979 | Time(s) 0.7554 | Loss 0.1212 | Accuracy 0.9601 | ETputs(KTEPS) 1029.37\n",
            "Epoch 00980 | Time(s) 0.7655 | Loss 0.1211 | Accuracy 0.9601 | ETputs(KTEPS) 1029.37\n",
            "Epoch 00981 | Time(s) 0.7567 | Loss 0.1209 | Accuracy 0.9601 | ETputs(KTEPS) 1029.38\n",
            "Epoch 00982 | Time(s) 0.7582 | Loss 0.1208 | Accuracy 0.9602 | ETputs(KTEPS) 1029.38\n",
            "Epoch 00983 | Time(s) 0.7570 | Loss 0.1207 | Accuracy 0.9602 | ETputs(KTEPS) 1029.40\n",
            "Epoch 00984 | Time(s) 0.7984 | Loss 0.1206 | Accuracy 0.9602 | ETputs(KTEPS) 1029.35\n",
            "Epoch 00985 | Time(s) 0.7914 | Loss 0.1205 | Accuracy 0.9603 | ETputs(KTEPS) 1029.31\n",
            "Epoch 00986 | Time(s) 0.7582 | Loss 0.1204 | Accuracy 0.9603 | ETputs(KTEPS) 1029.32\n",
            "Epoch 00987 | Time(s) 0.7641 | Loss 0.1202 | Accuracy 0.9603 | ETputs(KTEPS) 1029.32\n",
            "Epoch 00988 | Time(s) 0.7453 | Loss 0.1201 | Accuracy 0.9604 | ETputs(KTEPS) 1029.35\n",
            "Epoch 00989 | Time(s) 0.7525 | Loss 0.1200 | Accuracy 0.9604 | ETputs(KTEPS) 1029.37\n",
            "Epoch 00990 | Time(s) 0.7445 | Loss 0.1199 | Accuracy 0.9604 | ETputs(KTEPS) 1029.39\n",
            "Epoch 00991 | Time(s) 0.7563 | Loss 0.1198 | Accuracy 0.9605 | ETputs(KTEPS) 1029.40\n",
            "Epoch 00992 | Time(s) 0.7989 | Loss 0.1197 | Accuracy 0.9605 | ETputs(KTEPS) 1029.36\n",
            "Epoch 00993 | Time(s) 0.7875 | Loss 0.1196 | Accuracy 0.9606 | ETputs(KTEPS) 1029.33\n",
            "Epoch 00994 | Time(s) 0.7573 | Loss 0.1195 | Accuracy 0.9606 | ETputs(KTEPS) 1029.34\n",
            "Epoch 00995 | Time(s) 0.7405 | Loss 0.1193 | Accuracy 0.9607 | ETputs(KTEPS) 1029.37\n",
            "Epoch 00996 | Time(s) 0.7433 | Loss 0.1192 | Accuracy 0.9607 | ETputs(KTEPS) 1029.40\n",
            "Epoch 00997 | Time(s) 0.7509 | Loss 0.1191 | Accuracy 0.9607 | ETputs(KTEPS) 1029.42\n",
            "Epoch 00998 | Time(s) 0.7577 | Loss 0.1190 | Accuracy 0.9608 | ETputs(KTEPS) 1029.43\n",
            "Epoch 00999 | Time(s) 0.7499 | Loss 0.1189 | Accuracy 0.9608 | ETputs(KTEPS) 1029.45\n",
            "Inference time: avg time 0.7646, stdev time 0.1083\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30464 fp 398 tn 46904 fn 944\n",
            "accuracy 0.9830\n",
            "precision 0.9871\n",
            "recall 0.9699\n",
            "tnr 0.9916\n",
            "tpr 0.9699\n",
            "f1 0.9784\n",
            "acc/pre/rec:  98.30%/98.71%/96.99%\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 3266])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "model load from: ./output/best.model.tmp_model_name\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30455 fp 216 tn 47203 fn 836\n",
            "accuracy 0.9866\n",
            "precision 0.9930\n",
            "recall 0.9733\n",
            "tnr 0.9954\n",
            "tpr 0.9733\n",
            "f1 0.9830\n",
            "acc/pre/rec:  98.66%/99.30%/97.33%\n",
            "time: 0.6764\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30387 fp 218 tn 47313 fn 792\n",
            "accuracy 0.9872\n",
            "precision 0.9929\n",
            "recall 0.9746\n",
            "tnr 0.9954\n",
            "tpr 0.9746\n",
            "f1 0.9837\n",
            "acc/pre/rec:  98.72%/99.29%/97.46%\n",
            "time: 0.6295\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30507 fp 220 tn 47106 fn 877\n",
            "accuracy 0.9861\n",
            "precision 0.9928\n",
            "recall 0.9721\n",
            "tnr 0.9954\n",
            "tpr 0.9721\n",
            "f1 0.9823\n",
            "acc/pre/rec:  98.61%/99.28%/97.21%\n",
            "time: 0.6020\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30606 fp 238 tn 47041 fn 825\n",
            "accuracy 0.9865\n",
            "precision 0.9923\n",
            "recall 0.9738\n",
            "tnr 0.9950\n",
            "tpr 0.9738\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.65%/99.23%/97.38%\n",
            "time: 0.6246\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30279 fp 231 tn 47310 fn 890\n",
            "accuracy 0.9858\n",
            "precision 0.9924\n",
            "recall 0.9714\n",
            "tnr 0.9951\n",
            "tpr 0.9714\n",
            "f1 0.9818\n",
            "acc/pre/rec:  98.58%/99.24%/97.14%\n",
            "time: 0.6191\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30533 fp 230 tn 47137 fn 810\n",
            "accuracy 0.9868\n",
            "precision 0.9925\n",
            "recall 0.9742\n",
            "tnr 0.9951\n",
            "tpr 0.9742\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.68%/99.25%/97.42%\n",
            "time: 0.7008\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30540 fp 218 tn 47098 fn 854\n",
            "accuracy 0.9864\n",
            "precision 0.9929\n",
            "recall 0.9728\n",
            "tnr 0.9954\n",
            "tpr 0.9728\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.29%/97.28%\n",
            "time: 0.6143\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30244 fp 253 tn 47391 fn 822\n",
            "accuracy 0.9863\n",
            "precision 0.9917\n",
            "recall 0.9735\n",
            "tnr 0.9947\n",
            "tpr 0.9735\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.63%/99.17%/97.35%\n",
            "time: 0.6181\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30479 fp 230 tn 47220 fn 781\n",
            "accuracy 0.9872\n",
            "precision 0.9925\n",
            "recall 0.9750\n",
            "tnr 0.9952\n",
            "tpr 0.9750\n",
            "f1 0.9837\n",
            "acc/pre/rec:  98.72%/99.25%/97.50%\n",
            "time: 0.6615\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30579 fp 242 tn 47048 fn 841\n",
            "accuracy 0.9862\n",
            "precision 0.9921\n",
            "recall 0.9732\n",
            "tnr 0.9949\n",
            "tpr 0.9732\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.62%/99.21%/97.32%\n",
            "time: 0.6447\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30633 fp 217 tn 47033 fn 827\n",
            "accuracy 0.9867\n",
            "precision 0.9930\n",
            "recall 0.9737\n",
            "tnr 0.9954\n",
            "tpr 0.9737\n",
            "f1 0.9832\n",
            "acc/pre/rec:  98.67%/99.30%/97.37%\n",
            "time: 0.6427\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30823 fp 250 tn 46832 fn 805\n",
            "accuracy 0.9866\n",
            "precision 0.9920\n",
            "recall 0.9745\n",
            "tnr 0.9947\n",
            "tpr 0.9745\n",
            "f1 0.9832\n",
            "acc/pre/rec:  98.66%/99.20%/97.45%\n",
            "time: 0.6284\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30763 fp 239 tn 46841 fn 867\n",
            "accuracy 0.9859\n",
            "precision 0.9923\n",
            "recall 0.9726\n",
            "tnr 0.9949\n",
            "tpr 0.9726\n",
            "f1 0.9823\n",
            "acc/pre/rec:  98.59%/99.23%/97.26%\n",
            "time: 0.6362\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30539 fp 237 tn 47089 fn 845\n",
            "accuracy 0.9863\n",
            "precision 0.9923\n",
            "recall 0.9731\n",
            "tnr 0.9950\n",
            "tpr 0.9731\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.63%/99.23%/97.31%\n",
            "time: 0.6175\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30453 fp 261 tn 47126 fn 870\n",
            "accuracy 0.9856\n",
            "precision 0.9915\n",
            "recall 0.9722\n",
            "tnr 0.9945\n",
            "tpr 0.9722\n",
            "f1 0.9818\n",
            "acc/pre/rec:  98.56%/99.15%/97.22%\n",
            "time: 0.6152\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30666 fp 222 tn 47007 fn 815\n",
            "accuracy 0.9868\n",
            "precision 0.9928\n",
            "recall 0.9741\n",
            "tnr 0.9953\n",
            "tpr 0.9741\n",
            "f1 0.9834\n",
            "acc/pre/rec:  98.68%/99.28%/97.41%\n",
            "time: 0.6179\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30558 fp 229 tn 47131 fn 792\n",
            "accuracy 0.9870\n",
            "precision 0.9926\n",
            "recall 0.9747\n",
            "tnr 0.9952\n",
            "tpr 0.9747\n",
            "f1 0.9836\n",
            "acc/pre/rec:  98.70%/99.26%/97.47%\n",
            "time: 0.6303\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30441 fp 258 tn 47135 fn 876\n",
            "accuracy 0.9856\n",
            "precision 0.9916\n",
            "recall 0.9720\n",
            "tnr 0.9946\n",
            "tpr 0.9720\n",
            "f1 0.9817\n",
            "acc/pre/rec:  98.56%/99.16%/97.20%\n",
            "time: 0.6646\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30623 fp 203 tn 47044 fn 840\n",
            "accuracy 0.9867\n",
            "precision 0.9934\n",
            "recall 0.9733\n",
            "tnr 0.9957\n",
            "tpr 0.9733\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.67%/99.34%/97.33%\n",
            "time: 0.6551\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30620 fp 216 tn 47049 fn 825\n",
            "accuracy 0.9868\n",
            "precision 0.9930\n",
            "recall 0.9738\n",
            "tnr 0.9954\n",
            "tpr 0.9738\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.68%/99.30%/97.38%\n",
            "time: 0.6259\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30727 fp 233 tn 46881 fn 869\n",
            "accuracy 0.9860\n",
            "precision 0.9925\n",
            "recall 0.9725\n",
            "tnr 0.9951\n",
            "tpr 0.9725\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.60%/99.25%/97.25%\n",
            "time: 0.6178\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30423 fp 235 tn 47263 fn 789\n",
            "accuracy 0.9870\n",
            "precision 0.9923\n",
            "recall 0.9747\n",
            "tnr 0.9951\n",
            "tpr 0.9747\n",
            "f1 0.9834\n",
            "acc/pre/rec:  98.70%/99.23%/97.47%\n",
            "time: 0.6316\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30619 fp 224 tn 47038 fn 829\n",
            "accuracy 0.9866\n",
            "precision 0.9927\n",
            "recall 0.9736\n",
            "tnr 0.9953\n",
            "tpr 0.9736\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.66%/99.27%/97.36%\n",
            "time: 0.6213\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30578 fp 208 tn 47096 fn 828\n",
            "accuracy 0.9868\n",
            "precision 0.9932\n",
            "recall 0.9736\n",
            "tnr 0.9956\n",
            "tpr 0.9736\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.68%/99.32%/97.36%\n",
            "time: 0.6174\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30480 fp 228 tn 47225 fn 777\n",
            "accuracy 0.9872\n",
            "precision 0.9926\n",
            "recall 0.9751\n",
            "tnr 0.9952\n",
            "tpr 0.9751\n",
            "f1 0.9838\n",
            "acc/pre/rec:  98.72%/99.26%/97.51%\n",
            "time: 0.6329\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30534 fp 262 tn 47079 fn 835\n",
            "accuracy 0.9861\n",
            "precision 0.9915\n",
            "recall 0.9734\n",
            "tnr 0.9945\n",
            "tpr 0.9734\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.61%/99.15%/97.34%\n",
            "time: 0.6245\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30556 fp 230 tn 47172 fn 752\n",
            "accuracy 0.9875\n",
            "precision 0.9925\n",
            "recall 0.9760\n",
            "tnr 0.9951\n",
            "tpr 0.9760\n",
            "f1 0.9842\n",
            "acc/pre/rec:  98.75%/99.25%/97.60%\n",
            "time: 0.6445\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30686 fp 220 tn 46972 fn 832\n",
            "accuracy 0.9866\n",
            "precision 0.9929\n",
            "recall 0.9736\n",
            "tnr 0.9953\n",
            "tpr 0.9736\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.66%/99.29%/97.36%\n",
            "time: 0.6578\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30570 fp 227 tn 47084 fn 829\n",
            "accuracy 0.9866\n",
            "precision 0.9926\n",
            "recall 0.9736\n",
            "tnr 0.9952\n",
            "tpr 0.9736\n",
            "f1 0.9830\n",
            "acc/pre/rec:  98.66%/99.26%/97.36%\n",
            "time: 0.6225\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30660 fp 225 tn 46961 fn 864\n",
            "accuracy 0.9862\n",
            "precision 0.9927\n",
            "recall 0.9726\n",
            "tnr 0.9952\n",
            "tpr 0.9726\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.62%/99.27%/97.26%\n",
            "time: 0.6150\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30734 fp 218 tn 46903 fn 855\n",
            "accuracy 0.9864\n",
            "precision 0.9930\n",
            "recall 0.9729\n",
            "tnr 0.9954\n",
            "tpr 0.9729\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.30%/97.29%\n",
            "time: 0.6139\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30423 fp 224 tn 47222 fn 841\n",
            "accuracy 0.9865\n",
            "precision 0.9927\n",
            "recall 0.9731\n",
            "tnr 0.9953\n",
            "tpr 0.9731\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.65%/99.27%/97.31%\n",
            "time: 0.6492\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30716 fp 244 tn 46900 fn 850\n",
            "accuracy 0.9861\n",
            "precision 0.9921\n",
            "recall 0.9731\n",
            "tnr 0.9948\n",
            "tpr 0.9731\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.61%/99.21%/97.31%\n",
            "time: 0.6337\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30640 fp 257 tn 46972 fn 841\n",
            "accuracy 0.9861\n",
            "precision 0.9917\n",
            "recall 0.9733\n",
            "tnr 0.9946\n",
            "tpr 0.9733\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.61%/99.17%/97.33%\n",
            "time: 0.6327\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30454 fp 212 tn 47191 fn 853\n",
            "accuracy 0.9865\n",
            "precision 0.9931\n",
            "recall 0.9728\n",
            "tnr 0.9955\n",
            "tpr 0.9728\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.65%/99.31%/97.28%\n",
            "time: 0.6265\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30601 fp 239 tn 47028 fn 842\n",
            "accuracy 0.9863\n",
            "precision 0.9923\n",
            "recall 0.9732\n",
            "tnr 0.9949\n",
            "tpr 0.9732\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.63%/99.23%/97.32%\n",
            "time: 0.6433\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30485 fp 228 tn 47195 fn 802\n",
            "accuracy 0.9869\n",
            "precision 0.9926\n",
            "recall 0.9744\n",
            "tnr 0.9952\n",
            "tpr 0.9744\n",
            "f1 0.9834\n",
            "acc/pre/rec:  98.69%/99.26%/97.44%\n",
            "time: 0.6644\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30461 fp 257 tn 47140 fn 852\n",
            "accuracy 0.9859\n",
            "precision 0.9916\n",
            "recall 0.9728\n",
            "tnr 0.9946\n",
            "tpr 0.9728\n",
            "f1 0.9821\n",
            "acc/pre/rec:  98.59%/99.16%/97.28%\n",
            "time: 0.6252\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30363 fp 220 tn 47294 fn 833\n",
            "accuracy 0.9866\n",
            "precision 0.9928\n",
            "recall 0.9733\n",
            "tnr 0.9954\n",
            "tpr 0.9733\n",
            "f1 0.9830\n",
            "acc/pre/rec:  98.66%/99.28%/97.33%\n",
            "time: 0.6058\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30483 fp 221 tn 47197 fn 809\n",
            "accuracy 0.9869\n",
            "precision 0.9928\n",
            "recall 0.9741\n",
            "tnr 0.9953\n",
            "tpr 0.9741\n",
            "f1 0.9834\n",
            "acc/pre/rec:  98.69%/99.28%/97.41%\n",
            "time: 0.6093\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30698 fp 212 tn 46934 fn 866\n",
            "accuracy 0.9863\n",
            "precision 0.9931\n",
            "recall 0.9726\n",
            "tnr 0.9955\n",
            "tpr 0.9726\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.63%/99.31%/97.26%\n",
            "time: 0.6153\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30570 fp 230 tn 47057 fn 853\n",
            "accuracy 0.9862\n",
            "precision 0.9925\n",
            "recall 0.9729\n",
            "tnr 0.9951\n",
            "tpr 0.9729\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.62%/99.25%/97.29%\n",
            "time: 0.6321\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30526 fp 222 tn 47122 fn 840\n",
            "accuracy 0.9865\n",
            "precision 0.9928\n",
            "recall 0.9732\n",
            "tnr 0.9953\n",
            "tpr 0.9732\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.65%/99.28%/97.32%\n",
            "time: 0.6157\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30620 fp 228 tn 46974 fn 888\n",
            "accuracy 0.9858\n",
            "precision 0.9926\n",
            "recall 0.9718\n",
            "tnr 0.9952\n",
            "tpr 0.9718\n",
            "f1 0.9821\n",
            "acc/pre/rec:  98.58%/99.26%/97.18%\n",
            "time: 0.6296\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30744 fp 230 tn 46925 fn 811\n",
            "accuracy 0.9868\n",
            "precision 0.9926\n",
            "recall 0.9743\n",
            "tnr 0.9951\n",
            "tpr 0.9743\n",
            "f1 0.9834\n",
            "acc/pre/rec:  98.68%/99.26%/97.43%\n",
            "time: 0.6621\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30551 fp 265 tn 47065 fn 829\n",
            "accuracy 0.9861\n",
            "precision 0.9914\n",
            "recall 0.9736\n",
            "tnr 0.9944\n",
            "tpr 0.9736\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.61%/99.14%/97.36%\n",
            "time: 0.6853\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30605 fp 217 tn 47091 fn 797\n",
            "accuracy 0.9871\n",
            "precision 0.9930\n",
            "recall 0.9746\n",
            "tnr 0.9954\n",
            "tpr 0.9746\n",
            "f1 0.9837\n",
            "acc/pre/rec:  98.71%/99.30%/97.46%\n",
            "time: 0.6279\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30787 fp 232 tn 46848 fn 843\n",
            "accuracy 0.9863\n",
            "precision 0.9925\n",
            "recall 0.9733\n",
            "tnr 0.9951\n",
            "tpr 0.9733\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.63%/99.25%/97.33%\n",
            "time: 0.6197\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30371 fp 229 tn 47249 fn 861\n",
            "accuracy 0.9862\n",
            "precision 0.9925\n",
            "recall 0.9724\n",
            "tnr 0.9952\n",
            "tpr 0.9724\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.62%/99.25%/97.24%\n",
            "time: 0.6126\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30507 fp 224 tn 47153 fn 826\n",
            "accuracy 0.9867\n",
            "precision 0.9927\n",
            "recall 0.9736\n",
            "tnr 0.9953\n",
            "tpr 0.9736\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.67%/99.27%/97.36%\n",
            "time: 0.6296\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30753 fp 213 tn 46892 fn 852\n",
            "accuracy 0.9865\n",
            "precision 0.9931\n",
            "recall 0.9730\n",
            "tnr 0.9955\n",
            "tpr 0.9730\n",
            "f1 0.9830\n",
            "acc/pre/rec:  98.65%/99.31%/97.30%\n",
            "time: 0.6163\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30666 fp 224 tn 47013 fn 807\n",
            "accuracy 0.9869\n",
            "precision 0.9927\n",
            "recall 0.9744\n",
            "tnr 0.9953\n",
            "tpr 0.9744\n",
            "f1 0.9835\n",
            "acc/pre/rec:  98.69%/99.27%/97.44%\n",
            "time: 0.6248\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30652 fp 221 tn 46984 fn 853\n",
            "accuracy 0.9864\n",
            "precision 0.9928\n",
            "recall 0.9729\n",
            "tnr 0.9953\n",
            "tpr 0.9729\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.28%/97.29%\n",
            "time: 0.6413\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30608 fp 257 tn 47009 fn 836\n",
            "accuracy 0.9861\n",
            "precision 0.9917\n",
            "recall 0.9734\n",
            "tnr 0.9946\n",
            "tpr 0.9734\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.61%/99.17%/97.34%\n",
            "time: 0.6684\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30531 fp 239 tn 47107 fn 833\n",
            "accuracy 0.9864\n",
            "precision 0.9922\n",
            "recall 0.9734\n",
            "tnr 0.9950\n",
            "tpr 0.9734\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.64%/99.22%/97.34%\n",
            "time: 0.6535\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30528 fp 240 tn 47121 fn 821\n",
            "accuracy 0.9865\n",
            "precision 0.9922\n",
            "recall 0.9738\n",
            "tnr 0.9949\n",
            "tpr 0.9738\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.65%/99.22%/97.38%\n",
            "time: 0.6335\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30666 fp 243 tn 46977 fn 824\n",
            "accuracy 0.9864\n",
            "precision 0.9921\n",
            "recall 0.9738\n",
            "tnr 0.9949\n",
            "tpr 0.9738\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.64%/99.21%/97.38%\n",
            "time: 0.6364\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30676 fp 208 tn 46985 fn 841\n",
            "accuracy 0.9867\n",
            "precision 0.9933\n",
            "recall 0.9733\n",
            "tnr 0.9956\n",
            "tpr 0.9733\n",
            "f1 0.9832\n",
            "acc/pre/rec:  98.67%/99.33%/97.33%\n",
            "time: 0.6258\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30881 fp 230 tn 46736 fn 863\n",
            "accuracy 0.9861\n",
            "precision 0.9926\n",
            "recall 0.9728\n",
            "tnr 0.9951\n",
            "tpr 0.9728\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.61%/99.26%/97.28%\n",
            "time: 0.6297\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30707 fp 237 tn 46932 fn 834\n",
            "accuracy 0.9864\n",
            "precision 0.9923\n",
            "recall 0.9736\n",
            "tnr 0.9950\n",
            "tpr 0.9736\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.64%/99.23%/97.36%\n",
            "time: 0.6167\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30368 fp 244 tn 47296 fn 802\n",
            "accuracy 0.9867\n",
            "precision 0.9920\n",
            "recall 0.9743\n",
            "tnr 0.9949\n",
            "tpr 0.9743\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.67%/99.20%/97.43%\n",
            "time: 0.6286\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30584 fp 253 tn 46996 fn 877\n",
            "accuracy 0.9856\n",
            "precision 0.9918\n",
            "recall 0.9721\n",
            "tnr 0.9946\n",
            "tpr 0.9721\n",
            "f1 0.9819\n",
            "acc/pre/rec:  98.56%/99.18%/97.21%\n",
            "time: 0.6719\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30490 fp 244 tn 47133 fn 843\n",
            "accuracy 0.9862\n",
            "precision 0.9921\n",
            "recall 0.9731\n",
            "tnr 0.9948\n",
            "tpr 0.9731\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.62%/99.21%/97.31%\n",
            "time: 0.6435\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30482 fp 242 tn 47161 fn 825\n",
            "accuracy 0.9864\n",
            "precision 0.9921\n",
            "recall 0.9736\n",
            "tnr 0.9949\n",
            "tpr 0.9736\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.21%/97.36%\n",
            "time: 0.6260\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30690 fp 220 tn 46955 fn 845\n",
            "accuracy 0.9865\n",
            "precision 0.9929\n",
            "recall 0.9732\n",
            "tnr 0.9953\n",
            "tpr 0.9732\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.65%/99.29%/97.32%\n",
            "time: 0.6386\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30552 fp 238 tn 47086 fn 834\n",
            "accuracy 0.9864\n",
            "precision 0.9923\n",
            "recall 0.9734\n",
            "tnr 0.9950\n",
            "tpr 0.9734\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.23%/97.34%\n",
            "time: 0.6246\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30680 fp 221 tn 46939 fn 870\n",
            "accuracy 0.9861\n",
            "precision 0.9928\n",
            "recall 0.9724\n",
            "tnr 0.9953\n",
            "tpr 0.9724\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.61%/99.28%/97.24%\n",
            "time: 0.6230\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30493 fp 246 tn 47111 fn 860\n",
            "accuracy 0.9859\n",
            "precision 0.9920\n",
            "recall 0.9726\n",
            "tnr 0.9948\n",
            "tpr 0.9726\n",
            "f1 0.9822\n",
            "acc/pre/rec:  98.59%/99.20%/97.26%\n",
            "time: 0.6257\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30398 fp 266 tn 47226 fn 820\n",
            "accuracy 0.9862\n",
            "precision 0.9913\n",
            "recall 0.9737\n",
            "tnr 0.9944\n",
            "tpr 0.9737\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.62%/99.13%/97.37%\n",
            "time: 0.6346\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30651 fp 253 tn 46981 fn 825\n",
            "accuracy 0.9863\n",
            "precision 0.9918\n",
            "recall 0.9738\n",
            "tnr 0.9946\n",
            "tpr 0.9738\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.63%/99.18%/97.38%\n",
            "time: 0.6180\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30392 fp 224 tn 47266 fn 828\n",
            "accuracy 0.9866\n",
            "precision 0.9927\n",
            "recall 0.9735\n",
            "tnr 0.9953\n",
            "tpr 0.9735\n",
            "f1 0.9830\n",
            "acc/pre/rec:  98.66%/99.27%/97.35%\n",
            "time: 0.6603\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30572 fp 228 tn 47098 fn 812\n",
            "accuracy 0.9868\n",
            "precision 0.9926\n",
            "recall 0.9741\n",
            "tnr 0.9952\n",
            "tpr 0.9741\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.68%/99.26%/97.41%\n",
            "time: 0.6514\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30841 fp 229 tn 46808 fn 832\n",
            "accuracy 0.9865\n",
            "precision 0.9926\n",
            "recall 0.9737\n",
            "tnr 0.9951\n",
            "tpr 0.9737\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.65%/99.26%/97.37%\n",
            "time: 0.6124\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30625 fp 212 tn 47087 fn 786\n",
            "accuracy 0.9873\n",
            "precision 0.9931\n",
            "recall 0.9750\n",
            "tnr 0.9955\n",
            "tpr 0.9750\n",
            "f1 0.9840\n",
            "acc/pre/rec:  98.73%/99.31%/97.50%\n",
            "time: 0.6405\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30598 fp 233 tn 47091 fn 788\n",
            "accuracy 0.9870\n",
            "precision 0.9924\n",
            "recall 0.9749\n",
            "tnr 0.9951\n",
            "tpr 0.9749\n",
            "f1 0.9836\n",
            "acc/pre/rec:  98.70%/99.24%/97.49%\n",
            "time: 0.6252\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30644 fp 239 tn 46956 fn 871\n",
            "accuracy 0.9859\n",
            "precision 0.9923\n",
            "recall 0.9724\n",
            "tnr 0.9949\n",
            "tpr 0.9724\n",
            "f1 0.9822\n",
            "acc/pre/rec:  98.59%/99.23%/97.24%\n",
            "time: 0.6101\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30563 fp 236 tn 47078 fn 833\n",
            "accuracy 0.9864\n",
            "precision 0.9923\n",
            "recall 0.9735\n",
            "tnr 0.9950\n",
            "tpr 0.9735\n",
            "f1 0.9828\n",
            "acc/pre/rec:  98.64%/99.23%/97.35%\n",
            "time: 0.6164\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30611 fp 240 tn 47022 fn 837\n",
            "accuracy 0.9863\n",
            "precision 0.9922\n",
            "recall 0.9734\n",
            "tnr 0.9949\n",
            "tpr 0.9734\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.63%/99.22%/97.34%\n",
            "time: 0.6237\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30420 fp 263 tn 47197 fn 830\n",
            "accuracy 0.9861\n",
            "precision 0.9914\n",
            "recall 0.9734\n",
            "tnr 0.9945\n",
            "tpr 0.9734\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.61%/99.14%/97.34%\n",
            "time: 0.6216\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30537 fp 253 tn 47059 fn 861\n",
            "accuracy 0.9858\n",
            "precision 0.9918\n",
            "recall 0.9726\n",
            "tnr 0.9947\n",
            "tpr 0.9726\n",
            "f1 0.9821\n",
            "acc/pre/rec:  98.58%/99.18%/97.26%\n",
            "time: 0.6608\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30666 fp 245 tn 46959 fn 840\n",
            "accuracy 0.9862\n",
            "precision 0.9921\n",
            "recall 0.9733\n",
            "tnr 0.9948\n",
            "tpr 0.9733\n",
            "f1 0.9826\n",
            "acc/pre/rec:  98.62%/99.21%/97.33%\n",
            "time: 0.6613\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30590 fp 205 tn 47057 fn 858\n",
            "accuracy 0.9865\n",
            "precision 0.9933\n",
            "recall 0.9727\n",
            "tnr 0.9957\n",
            "tpr 0.9727\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.65%/99.33%/97.27%\n",
            "time: 0.6170\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30733 fp 244 tn 46905 fn 828\n",
            "accuracy 0.9864\n",
            "precision 0.9921\n",
            "recall 0.9738\n",
            "tnr 0.9948\n",
            "tpr 0.9738\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.64%/99.21%/97.38%\n",
            "time: 0.6148\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30366 fp 215 tn 47311 fn 818\n",
            "accuracy 0.9869\n",
            "precision 0.9930\n",
            "recall 0.9738\n",
            "tnr 0.9955\n",
            "tpr 0.9738\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.69%/99.30%/97.38%\n",
            "time: 0.6064\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30460 fp 265 tn 47122 fn 863\n",
            "accuracy 0.9857\n",
            "precision 0.9914\n",
            "recall 0.9724\n",
            "tnr 0.9944\n",
            "tpr 0.9724\n",
            "f1 0.9818\n",
            "acc/pre/rec:  98.57%/99.14%/97.24%\n",
            "time: 0.6170\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30544 fp 234 tn 47059 fn 873\n",
            "accuracy 0.9859\n",
            "precision 0.9924\n",
            "recall 0.9722\n",
            "tnr 0.9951\n",
            "tpr 0.9722\n",
            "f1 0.9822\n",
            "acc/pre/rec:  98.59%/99.24%/97.22%\n",
            "time: 0.6087\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30566 fp 254 tn 47047 fn 843\n",
            "accuracy 0.9861\n",
            "precision 0.9918\n",
            "recall 0.9732\n",
            "tnr 0.9946\n",
            "tpr 0.9732\n",
            "f1 0.9824\n",
            "acc/pre/rec:  98.61%/99.18%/97.32%\n",
            "time: 0.6076\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30688 fp 226 tn 47025 fn 771\n",
            "accuracy 0.9873\n",
            "precision 0.9927\n",
            "recall 0.9755\n",
            "tnr 0.9952\n",
            "tpr 0.9755\n",
            "f1 0.9840\n",
            "acc/pre/rec:  98.73%/99.27%/97.55%\n",
            "time: 0.6074\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30447 fp 244 tn 47191 fn 828\n",
            "accuracy 0.9864\n",
            "precision 0.9920\n",
            "recall 0.9735\n",
            "tnr 0.9949\n",
            "tpr 0.9735\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.64%/99.20%/97.35%\n",
            "time: 0.6561\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30731 fp 250 tn 46954 fn 775\n",
            "accuracy 0.9870\n",
            "precision 0.9919\n",
            "recall 0.9754\n",
            "tnr 0.9947\n",
            "tpr 0.9754\n",
            "f1 0.9836\n",
            "acc/pre/rec:  98.70%/99.19%/97.54%\n",
            "time: 0.6610\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30399 fp 268 tn 47194 fn 849\n",
            "accuracy 0.9858\n",
            "precision 0.9913\n",
            "recall 0.9728\n",
            "tnr 0.9944\n",
            "tpr 0.9728\n",
            "f1 0.9820\n",
            "acc/pre/rec:  98.58%/99.13%/97.28%\n",
            "time: 0.6296\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30607 fp 221 tn 47080 fn 802\n",
            "accuracy 0.9870\n",
            "precision 0.9928\n",
            "recall 0.9745\n",
            "tnr 0.9953\n",
            "tpr 0.9745\n",
            "f1 0.9836\n",
            "acc/pre/rec:  98.70%/99.28%/97.45%\n",
            "time: 0.6176\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30877 fp 240 tn 46756 fn 837\n",
            "accuracy 0.9863\n",
            "precision 0.9923\n",
            "recall 0.9736\n",
            "tnr 0.9949\n",
            "tpr 0.9736\n",
            "f1 0.9829\n",
            "acc/pre/rec:  98.63%/99.23%/97.36%\n",
            "time: 0.6204\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30555 fp 235 tn 47067 fn 853\n",
            "accuracy 0.9862\n",
            "precision 0.9924\n",
            "recall 0.9728\n",
            "tnr 0.9950\n",
            "tpr 0.9728\n",
            "f1 0.9825\n",
            "acc/pre/rec:  98.62%/99.24%/97.28%\n",
            "time: 0.6064\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30617 fp 207 tn 47052 fn 834\n",
            "accuracy 0.9868\n",
            "precision 0.9933\n",
            "recall 0.9735\n",
            "tnr 0.9956\n",
            "tpr 0.9735\n",
            "f1 0.9833\n",
            "acc/pre/rec:  98.68%/99.33%/97.35%\n",
            "time: 0.6104\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30305 fp 243 tn 47365 fn 797\n",
            "accuracy 0.9868\n",
            "precision 0.9920\n",
            "recall 0.9744\n",
            "tnr 0.9949\n",
            "tpr 0.9744\n",
            "f1 0.9831\n",
            "acc/pre/rec:  98.68%/99.20%/97.44%\n",
            "time: 0.6163\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30561 fp 239 tn 47076 fn 834\n",
            "accuracy 0.9864\n",
            "precision 0.9922\n",
            "recall 0.9734\n",
            "tnr 0.9949\n",
            "tpr 0.9734\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.64%/99.22%/97.34%\n",
            "time: 0.6122\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30374 fp 233 tn 47267 fn 836\n",
            "accuracy 0.9864\n",
            "precision 0.9924\n",
            "recall 0.9732\n",
            "tnr 0.9951\n",
            "tpr 0.9732\n",
            "f1 0.9827\n",
            "acc/pre/rec:  98.64%/99.24%/97.32%\n",
            "time: 0.6365\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30507 fp 251 tn 47067 fn 885\n",
            "accuracy 0.9856\n",
            "precision 0.9918\n",
            "recall 0.9718\n",
            "tnr 0.9947\n",
            "tpr 0.9718\n",
            "f1 0.9817\n",
            "acc/pre/rec:  98.56%/99.18%/97.18%\n",
            "time: 0.6673\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30524 fp 238 tn 47077 fn 871\n",
            "accuracy 0.9859\n",
            "precision 0.9923\n",
            "recall 0.9723\n",
            "tnr 0.9950\n",
            "tpr 0.9723\n",
            "f1 0.9822\n",
            "acc/pre/rec:  98.59%/99.23%/97.23%\n",
            "time: 0.6325\n",
            "Inference time: avg time 0.6315 stdev 0.0196\n",
            "\n",
            "done...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py --graph_name rand5k --gpu 0 --n-layers 2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZHvy8FeSNkQz",
        "outputId": "db6515fa-381b-4d77-d5f0-9deae217901a"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(db_name='top10k', graph_name='rand5k', g_to_merge=None, dropout=0, gpu=0, lr=0.005, n_epochs=1000, n_hidden=16, n_layers=2, weight_decay=0.0005, r_train=0.8, r_test=0.1, testing_option=3, r_val=0.1, model_name='tmp_model_name', file_to_write='', fold=5, reduce_edge_feature=0)\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "/usr/local/lib/python3.9/dist-packages/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
            "  dgl_warning('Recommend creating graphs by `dgl.graph(data)`'\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 3266])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "\n",
            "************initilize model************\n",
            "WTAGNN(\n",
            "  (layers): ModuleList(\n",
            "    (0-1): 2 x WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=32, out_features=16, bias=True)\n",
            "      )\n",
            "    )\n",
            "    (2): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=4, out_features=2, bias=True)\n",
            "      )\n",
            "    )\n",
            "  )\n",
            ")\n",
            "using gpu: 0\n",
            "\n",
            "************start training************\n",
            "Epoch 00000 | Time(s) 2.1588 | Loss 0.9943 | Accuracy 0.6131 | ETputs(KTEPS) 364.60\n",
            "Epoch 00001 | Time(s) 1.0650 | Loss 0.6513 | Accuracy 0.6111 | ETputs(KTEPS) 488.30\n",
            "Epoch 00002 | Time(s) 1.0628 | Loss 0.6521 | Accuracy 0.6632 | ETputs(KTEPS) 550.85\n",
            "Epoch 00003 | Time(s) 1.0617 | Loss 0.6220 | Accuracy 0.7623 | ETputs(KTEPS) 588.68\n",
            "Epoch 00004 | Time(s) 1.1475 | Loss 0.5530 | Accuracy 0.7657 | ETputs(KTEPS) 605.86\n",
            "Epoch 00005 | Time(s) 1.0531 | Loss 0.5392 | Accuracy 0.7609 | ETputs(KTEPS) 625.61\n",
            "Epoch 00006 | Time(s) 1.0736 | Loss 0.5384 | Accuracy 0.7752 | ETputs(KTEPS) 639.00\n",
            "Epoch 00007 | Time(s) 1.0806 | Loss 0.5197 | Accuracy 0.8016 | ETputs(KTEPS) 648.95\n",
            "Epoch 00008 | Time(s) 1.0740 | Loss 0.4927 | Accuracy 0.8015 | ETputs(KTEPS) 657.32\n",
            "Epoch 00009 | Time(s) 1.0750 | Loss 0.4746 | Accuracy 0.7992 | ETputs(KTEPS) 664.11\n",
            "Epoch 00010 | Time(s) 1.0690 | Loss 0.4702 | Accuracy 0.8065 | ETputs(KTEPS) 670.09\n",
            "Epoch 00011 | Time(s) 1.0709 | Loss 0.4663 | Accuracy 0.8144 | ETputs(KTEPS) 675.06\n",
            "Epoch 00012 | Time(s) 1.0696 | Loss 0.4542 | Accuracy 0.8153 | ETputs(KTEPS) 679.38\n",
            "Epoch 00013 | Time(s) 1.0690 | Loss 0.4399 | Accuracy 0.8135 | ETputs(KTEPS) 683.15\n",
            "Epoch 00014 | Time(s) 1.0814 | Loss 0.4311 | Accuracy 0.8182 | ETputs(KTEPS) 685.96\n",
            "Epoch 00015 | Time(s) 1.1569 | Loss 0.4276 | Accuracy 0.8144 | ETputs(KTEPS) 685.61\n",
            "Epoch 00016 | Time(s) 1.0669 | Loss 0.4245 | Accuracy 0.8156 | ETputs(KTEPS) 688.47\n",
            "Epoch 00017 | Time(s) 1.0590 | Loss 0.4180 | Accuracy 0.8278 | ETputs(KTEPS) 691.30\n",
            "Epoch 00018 | Time(s) 1.0762 | Loss 0.4083 | Accuracy 0.8360 | ETputs(KTEPS) 693.30\n",
            "Epoch 00019 | Time(s) 1.0784 | Loss 0.3985 | Accuracy 0.8412 | ETputs(KTEPS) 695.04\n",
            "Epoch 00020 | Time(s) 1.0682 | Loss 0.3911 | Accuracy 0.8404 | ETputs(KTEPS) 696.92\n",
            "Epoch 00021 | Time(s) 1.0612 | Loss 0.3859 | Accuracy 0.8432 | ETputs(KTEPS) 698.84\n",
            "Epoch 00022 | Time(s) 1.0632 | Loss 0.3798 | Accuracy 0.8476 | ETputs(KTEPS) 700.55\n",
            "Epoch 00023 | Time(s) 1.0806 | Loss 0.3712 | Accuracy 0.8503 | ETputs(KTEPS) 701.66\n",
            "Epoch 00024 | Time(s) 1.0689 | Loss 0.3623 | Accuracy 0.8484 | ETputs(KTEPS) 702.99\n",
            "Epoch 00025 | Time(s) 1.0805 | Loss 0.3558 | Accuracy 0.8493 | ETputs(KTEPS) 703.94\n",
            "Epoch 00026 | Time(s) 1.0813 | Loss 0.3499 | Accuracy 0.8534 | ETputs(KTEPS) 704.80\n",
            "Epoch 00027 | Time(s) 1.0793 | Loss 0.3416 | Accuracy 0.8587 | ETputs(KTEPS) 705.64\n",
            "Epoch 00028 | Time(s) 1.0770 | Loss 0.3331 | Accuracy 0.8632 | ETputs(KTEPS) 706.48\n",
            "Epoch 00029 | Time(s) 1.0689 | Loss 0.3271 | Accuracy 0.8680 | ETputs(KTEPS) 707.44\n",
            "Epoch 00030 | Time(s) 1.0765 | Loss 0.3206 | Accuracy 0.8718 | ETputs(KTEPS) 708.18\n",
            "Epoch 00031 | Time(s) 1.0767 | Loss 0.3117 | Accuracy 0.8738 | ETputs(KTEPS) 708.87\n",
            "Epoch 00032 | Time(s) 1.0790 | Loss 0.3039 | Accuracy 0.8771 | ETputs(KTEPS) 709.48\n",
            "Epoch 00033 | Time(s) 1.0676 | Loss 0.2975 | Accuracy 0.8817 | ETputs(KTEPS) 710.27\n",
            "Epoch 00034 | Time(s) 1.0639 | Loss 0.2892 | Accuracy 0.8857 | ETputs(KTEPS) 711.08\n",
            "Epoch 00035 | Time(s) 1.0789 | Loss 0.2816 | Accuracy 0.8863 | ETputs(KTEPS) 711.58\n",
            "Epoch 00036 | Time(s) 1.0689 | Loss 0.2763 | Accuracy 0.8900 | ETputs(KTEPS) 712.23\n",
            "Epoch 00037 | Time(s) 1.0709 | Loss 0.2697 | Accuracy 0.8947 | ETputs(KTEPS) 712.81\n",
            "Epoch 00038 | Time(s) 1.1383 | Loss 0.2638 | Accuracy 0.8979 | ETputs(KTEPS) 712.25\n",
            "Epoch 00039 | Time(s) 1.0776 | Loss 0.2585 | Accuracy 0.9008 | ETputs(KTEPS) 712.69\n",
            "Epoch 00040 | Time(s) 1.0682 | Loss 0.2519 | Accuracy 0.9035 | ETputs(KTEPS) 713.26\n",
            "Epoch 00041 | Time(s) 1.0653 | Loss 0.2470 | Accuracy 0.9069 | ETputs(KTEPS) 713.85\n",
            "Epoch 00042 | Time(s) 1.0726 | Loss 0.2418 | Accuracy 0.9096 | ETputs(KTEPS) 714.30\n",
            "Epoch 00043 | Time(s) 1.0650 | Loss 0.2371 | Accuracy 0.9124 | ETputs(KTEPS) 714.85\n",
            "Epoch 00044 | Time(s) 1.0811 | Loss 0.2325 | Accuracy 0.9150 | ETputs(KTEPS) 715.14\n",
            "Epoch 00045 | Time(s) 1.0852 | Loss 0.2277 | Accuracy 0.9168 | ETputs(KTEPS) 715.35\n",
            "Epoch 00046 | Time(s) 1.0641 | Loss 0.2241 | Accuracy 0.9188 | ETputs(KTEPS) 715.85\n",
            "Epoch 00047 | Time(s) 1.0538 | Loss 0.2202 | Accuracy 0.9201 | ETputs(KTEPS) 716.48\n",
            "Epoch 00048 | Time(s) 1.0762 | Loss 0.2168 | Accuracy 0.9221 | ETputs(KTEPS) 716.77\n",
            "Epoch 00049 | Time(s) 1.1394 | Loss 0.2128 | Accuracy 0.9231 | ETputs(KTEPS) 716.24\n",
            "Epoch 00050 | Time(s) 1.0587 | Loss 0.2098 | Accuracy 0.9248 | ETputs(KTEPS) 716.75\n",
            "Epoch 00051 | Time(s) 1.0693 | Loss 0.2066 | Accuracy 0.9269 | ETputs(KTEPS) 717.11\n",
            "Epoch 00052 | Time(s) 1.0727 | Loss 0.2034 | Accuracy 0.9283 | ETputs(KTEPS) 717.42\n",
            "Epoch 00053 | Time(s) 1.0703 | Loss 0.2001 | Accuracy 0.9292 | ETputs(KTEPS) 717.74\n",
            "Epoch 00054 | Time(s) 1.0728 | Loss 0.1974 | Accuracy 0.9304 | ETputs(KTEPS) 718.03\n",
            "Epoch 00055 | Time(s) 1.0759 | Loss 0.1944 | Accuracy 0.9314 | ETputs(KTEPS) 718.27\n",
            "Epoch 00056 | Time(s) 1.0866 | Loss 0.1916 | Accuracy 0.9318 | ETputs(KTEPS) 718.37\n",
            "Epoch 00057 | Time(s) 1.0608 | Loss 0.1889 | Accuracy 0.9323 | ETputs(KTEPS) 718.77\n",
            "Epoch 00058 | Time(s) 1.0741 | Loss 0.1862 | Accuracy 0.9334 | ETputs(KTEPS) 719.00\n",
            "Epoch 00059 | Time(s) 1.0702 | Loss 0.1835 | Accuracy 0.9348 | ETputs(KTEPS) 719.27\n",
            "Epoch 00060 | Time(s) 1.0790 | Loss 0.1810 | Accuracy 0.9356 | ETputs(KTEPS) 719.43\n",
            "Epoch 00061 | Time(s) 1.0771 | Loss 0.1785 | Accuracy 0.9364 | ETputs(KTEPS) 719.62\n",
            "Epoch 00062 | Time(s) 1.0841 | Loss 0.1761 | Accuracy 0.9378 | ETputs(KTEPS) 719.72\n",
            "Epoch 00063 | Time(s) 1.0978 | Loss 0.1738 | Accuracy 0.9390 | ETputs(KTEPS) 719.67\n",
            "Epoch 00064 | Time(s) 1.1392 | Loss 0.1717 | Accuracy 0.9395 | ETputs(KTEPS) 719.21\n",
            "Epoch 00065 | Time(s) 1.0566 | Loss 0.1695 | Accuracy 0.9402 | ETputs(KTEPS) 719.59\n",
            "Epoch 00066 | Time(s) 1.0478 | Loss 0.1674 | Accuracy 0.9411 | ETputs(KTEPS) 720.04\n",
            "Epoch 00067 | Time(s) 1.0697 | Loss 0.1654 | Accuracy 0.9417 | ETputs(KTEPS) 720.27\n",
            "Epoch 00068 | Time(s) 1.0685 | Loss 0.1633 | Accuracy 0.9426 | ETputs(KTEPS) 720.50\n",
            "Epoch 00069 | Time(s) 1.0908 | Loss 0.1613 | Accuracy 0.9435 | ETputs(KTEPS) 720.52\n",
            "Epoch 00070 | Time(s) 1.0702 | Loss 0.1593 | Accuracy 0.9437 | ETputs(KTEPS) 720.72\n",
            "Epoch 00071 | Time(s) 1.0663 | Loss 0.1575 | Accuracy 0.9449 | ETputs(KTEPS) 720.96\n",
            "Epoch 00072 | Time(s) 1.0726 | Loss 0.1555 | Accuracy 0.9462 | ETputs(KTEPS) 721.13\n",
            "Epoch 00073 | Time(s) 1.0744 | Loss 0.1537 | Accuracy 0.9465 | ETputs(KTEPS) 721.29\n",
            "Epoch 00074 | Time(s) 1.0711 | Loss 0.1519 | Accuracy 0.9476 | ETputs(KTEPS) 721.46\n",
            "Epoch 00075 | Time(s) 1.1727 | Loss 0.1500 | Accuracy 0.9479 | ETputs(KTEPS) 720.75\n",
            "Epoch 00076 | Time(s) 1.0565 | Loss 0.1483 | Accuracy 0.9493 | ETputs(KTEPS) 721.06\n",
            "Epoch 00077 | Time(s) 1.0747 | Loss 0.1465 | Accuracy 0.9496 | ETputs(KTEPS) 721.20\n",
            "Epoch 00078 | Time(s) 1.0502 | Loss 0.1449 | Accuracy 0.9507 | ETputs(KTEPS) 721.55\n",
            "Epoch 00079 | Time(s) 1.0739 | Loss 0.1433 | Accuracy 0.9500 | ETputs(KTEPS) 721.69\n",
            "Epoch 00080 | Time(s) 1.0710 | Loss 0.1420 | Accuracy 0.9515 | ETputs(KTEPS) 721.85\n",
            "Epoch 00081 | Time(s) 1.0875 | Loss 0.1416 | Accuracy 0.9479 | ETputs(KTEPS) 721.87\n",
            "Epoch 00082 | Time(s) 1.0802 | Loss 0.1443 | Accuracy 0.9504 | ETputs(KTEPS) 721.95\n",
            "Epoch 00083 | Time(s) 1.0668 | Loss 0.1481 | Accuracy 0.9453 | ETputs(KTEPS) 722.14\n",
            "Epoch 00084 | Time(s) 1.0699 | Loss 0.1508 | Accuracy 0.9530 | ETputs(KTEPS) 722.29\n",
            "Epoch 00085 | Time(s) 1.0724 | Loss 0.1366 | Accuracy 0.9525 | ETputs(KTEPS) 722.43\n",
            "Epoch 00086 | Time(s) 1.0644 | Loss 0.1403 | Accuracy 0.9487 | ETputs(KTEPS) 722.62\n",
            "Epoch 00087 | Time(s) 1.0748 | Loss 0.1434 | Accuracy 0.9541 | ETputs(KTEPS) 722.73\n",
            "Epoch 00088 | Time(s) 1.0961 | Loss 0.1318 | Accuracy 0.9539 | ETputs(KTEPS) 722.68\n",
            "Epoch 00089 | Time(s) 1.0685 | Loss 0.1395 | Accuracy 0.9521 | ETputs(KTEPS) 722.83\n",
            "Epoch 00090 | Time(s) 1.0753 | Loss 0.1341 | Accuracy 0.9534 | ETputs(KTEPS) 722.93\n",
            "Epoch 00091 | Time(s) 1.0722 | Loss 0.1316 | Accuracy 0.9556 | ETputs(KTEPS) 723.05\n",
            "Epoch 00092 | Time(s) 1.0701 | Loss 0.1346 | Accuracy 0.9561 | ETputs(KTEPS) 723.18\n",
            "Epoch 00093 | Time(s) 1.0792 | Loss 0.1265 | Accuracy 0.9533 | ETputs(KTEPS) 723.24\n",
            "Epoch 00094 | Time(s) 1.0872 | Loss 0.1306 | Accuracy 0.9574 | ETputs(KTEPS) 723.25\n",
            "Epoch 00095 | Time(s) 1.0763 | Loss 0.1272 | Accuracy 0.9580 | ETputs(KTEPS) 723.34\n",
            "Epoch 00096 | Time(s) 1.0643 | Loss 0.1242 | Accuracy 0.9548 | ETputs(KTEPS) 723.50\n",
            "Epoch 00097 | Time(s) 1.0651 | Loss 0.1271 | Accuracy 0.9588 | ETputs(KTEPS) 723.65\n",
            "Epoch 00098 | Time(s) 1.1381 | Loss 0.1222 | Accuracy 0.9593 | ETputs(KTEPS) 723.31\n",
            "Epoch 00099 | Time(s) 1.0663 | Loss 0.1219 | Accuracy 0.9563 | ETputs(KTEPS) 723.46\n",
            "Epoch 00100 | Time(s) 1.0733 | Loss 0.1237 | Accuracy 0.9602 | ETputs(KTEPS) 723.56\n",
            "Epoch 00101 | Time(s) 1.0645 | Loss 0.1193 | Accuracy 0.9603 | ETputs(KTEPS) 723.71\n",
            "Epoch 00102 | Time(s) 1.0694 | Loss 0.1187 | Accuracy 0.9577 | ETputs(KTEPS) 723.83\n",
            "Epoch 00103 | Time(s) 1.0683 | Loss 0.1206 | Accuracy 0.9608 | ETputs(KTEPS) 723.95\n",
            "Epoch 00104 | Time(s) 1.0770 | Loss 0.1176 | Accuracy 0.9609 | ETputs(KTEPS) 724.01\n",
            "Epoch 00105 | Time(s) 1.0788 | Loss 0.1150 | Accuracy 0.9596 | ETputs(KTEPS) 724.07\n",
            "Epoch 00106 | Time(s) 1.0732 | Loss 0.1159 | Accuracy 0.9623 | ETputs(KTEPS) 724.15\n",
            "Epoch 00107 | Time(s) 1.0797 | Loss 0.1162 | Accuracy 0.9602 | ETputs(KTEPS) 724.20\n",
            "Epoch 00108 | Time(s) 1.0700 | Loss 0.1144 | Accuracy 0.9626 | ETputs(KTEPS) 724.30\n",
            "Epoch 00109 | Time(s) 1.1429 | Loss 0.1119 | Accuracy 0.9629 | ETputs(KTEPS) 723.96\n",
            "Epoch 00110 | Time(s) 1.0662 | Loss 0.1112 | Accuracy 0.9618 | ETputs(KTEPS) 724.09\n",
            "Epoch 00111 | Time(s) 1.0737 | Loss 0.1120 | Accuracy 0.9634 | ETputs(KTEPS) 724.17\n",
            "Epoch 00112 | Time(s) 1.0786 | Loss 0.1122 | Accuracy 0.9614 | ETputs(KTEPS) 724.22\n",
            "Epoch 00113 | Time(s) 1.0802 | Loss 0.1119 | Accuracy 0.9641 | ETputs(KTEPS) 724.25\n",
            "Epoch 00114 | Time(s) 1.0733 | Loss 0.1101 | Accuracy 0.9632 | ETputs(KTEPS) 724.33\n",
            "Epoch 00115 | Time(s) 1.0720 | Loss 0.1080 | Accuracy 0.9643 | ETputs(KTEPS) 724.42\n",
            "Epoch 00116 | Time(s) 1.0822 | Loss 0.1064 | Accuracy 0.9648 | ETputs(KTEPS) 724.44\n",
            "Epoch 00117 | Time(s) 1.0608 | Loss 0.1057 | Accuracy 0.9644 | ETputs(KTEPS) 724.59\n",
            "Epoch 00118 | Time(s) 1.0755 | Loss 0.1057 | Accuracy 0.9652 | ETputs(KTEPS) 724.65\n",
            "Epoch 00119 | Time(s) 1.0708 | Loss 0.1068 | Accuracy 0.9607 | ETputs(KTEPS) 724.73\n",
            "Epoch 00120 | Time(s) 1.0698 | Loss 0.1113 | Accuracy 0.9592 | ETputs(KTEPS) 724.82\n",
            "Epoch 00121 | Time(s) 1.0708 | Loss 0.1232 | Accuracy 0.9399 | ETputs(KTEPS) 724.91\n",
            "Epoch 00122 | Time(s) 1.0650 | Loss 0.1596 | Accuracy 0.9408 | ETputs(KTEPS) 725.02\n",
            "Epoch 00123 | Time(s) 1.0566 | Loss 0.1676 | Accuracy 0.9567 | ETputs(KTEPS) 725.17\n",
            "Epoch 00124 | Time(s) 1.1407 | Loss 0.1231 | Accuracy 0.9494 | ETputs(KTEPS) 724.88\n",
            "Epoch 00125 | Time(s) 1.0769 | Loss 0.1426 | Accuracy 0.9602 | ETputs(KTEPS) 724.93\n",
            "Epoch 00126 | Time(s) 1.0507 | Loss 0.1195 | Accuracy 0.9483 | ETputs(KTEPS) 725.11\n",
            "Epoch 00127 | Time(s) 1.0581 | Loss 0.1437 | Accuracy 0.9596 | ETputs(KTEPS) 725.25\n",
            "Epoch 00128 | Time(s) 1.0602 | Loss 0.1195 | Accuracy 0.9489 | ETputs(KTEPS) 725.38\n",
            "Epoch 00129 | Time(s) 1.0638 | Loss 0.1533 | Accuracy 0.9586 | ETputs(KTEPS) 725.49\n",
            "Epoch 00130 | Time(s) 1.0865 | Loss 0.1276 | Accuracy 0.9588 | ETputs(KTEPS) 725.49\n",
            "Epoch 00131 | Time(s) 1.0810 | Loss 0.1233 | Accuracy 0.9594 | ETputs(KTEPS) 725.51\n",
            "Epoch 00132 | Time(s) 1.0535 | Loss 0.1194 | Accuracy 0.9496 | ETputs(KTEPS) 725.66\n",
            "Epoch 00133 | Time(s) 1.0626 | Loss 0.1334 | Accuracy 0.9618 | ETputs(KTEPS) 725.77\n",
            "Epoch 00134 | Time(s) 1.0643 | Loss 0.1094 | Accuracy 0.9579 | ETputs(KTEPS) 725.87\n",
            "Epoch 00135 | Time(s) 1.1438 | Loss 0.1234 | Accuracy 0.9596 | ETputs(KTEPS) 725.58\n",
            "Epoch 00136 | Time(s) 1.0771 | Loss 0.1223 | Accuracy 0.9621 | ETputs(KTEPS) 725.62\n",
            "Epoch 00137 | Time(s) 1.0800 | Loss 0.1131 | Accuracy 0.9616 | ETputs(KTEPS) 725.64\n",
            "Epoch 00138 | Time(s) 1.0763 | Loss 0.1097 | Accuracy 0.9601 | ETputs(KTEPS) 725.68\n",
            "Epoch 00139 | Time(s) 1.0626 | Loss 0.1139 | Accuracy 0.9625 | ETputs(KTEPS) 725.79\n",
            "Epoch 00140 | Time(s) 1.0706 | Loss 0.1087 | Accuracy 0.9622 | ETputs(KTEPS) 725.85\n",
            "Epoch 00141 | Time(s) 1.0775 | Loss 0.1070 | Accuracy 0.9611 | ETputs(KTEPS) 725.89\n",
            "Epoch 00142 | Time(s) 1.0528 | Loss 0.1087 | Accuracy 0.9630 | ETputs(KTEPS) 726.03\n",
            "Epoch 00143 | Time(s) 1.1129 | Loss 0.1052 | Accuracy 0.9648 | ETputs(KTEPS) 725.90\n",
            "Epoch 00144 | Time(s) 1.0902 | Loss 0.1042 | Accuracy 0.9654 | ETputs(KTEPS) 725.87\n",
            "Epoch 00145 | Time(s) 1.0713 | Loss 0.1050 | Accuracy 0.9659 | ETputs(KTEPS) 725.93\n",
            "Epoch 00146 | Time(s) 1.0925 | Loss 0.1020 | Accuracy 0.9656 | ETputs(KTEPS) 725.90\n",
            "Epoch 00147 | Time(s) 1.0639 | Loss 0.1008 | Accuracy 0.9654 | ETputs(KTEPS) 725.99\n",
            "Epoch 00148 | Time(s) 1.0602 | Loss 0.1019 | Accuracy 0.9656 | ETputs(KTEPS) 726.10\n",
            "Epoch 00149 | Time(s) 1.0802 | Loss 0.1007 | Accuracy 0.9667 | ETputs(KTEPS) 726.11\n",
            "Epoch 00150 | Time(s) 1.0952 | Loss 0.0992 | Accuracy 0.9677 | ETputs(KTEPS) 726.06\n",
            "Epoch 00151 | Time(s) 1.0736 | Loss 0.0992 | Accuracy 0.9679 | ETputs(KTEPS) 726.11\n",
            "Epoch 00152 | Time(s) 1.0862 | Loss 0.0991 | Accuracy 0.9682 | ETputs(KTEPS) 726.10\n",
            "Epoch 00153 | Time(s) 1.0741 | Loss 0.0965 | Accuracy 0.9686 | ETputs(KTEPS) 726.14\n",
            "Epoch 00154 | Time(s) 1.0637 | Loss 0.0962 | Accuracy 0.9670 | ETputs(KTEPS) 726.23\n",
            "Epoch 00155 | Time(s) 1.0746 | Loss 0.0968 | Accuracy 0.9683 | ETputs(KTEPS) 726.27\n",
            "Epoch 00156 | Time(s) 1.0683 | Loss 0.0955 | Accuracy 0.9680 | ETputs(KTEPS) 726.34\n",
            "Epoch 00157 | Time(s) 1.0578 | Loss 0.0954 | Accuracy 0.9686 | ETputs(KTEPS) 726.45\n",
            "Epoch 00158 | Time(s) 1.1323 | Loss 0.0948 | Accuracy 0.9691 | ETputs(KTEPS) 726.24\n",
            "Epoch 00159 | Time(s) 1.0649 | Loss 0.0940 | Accuracy 0.9691 | ETputs(KTEPS) 726.32\n",
            "Epoch 00160 | Time(s) 1.0747 | Loss 0.0939 | Accuracy 0.9697 | ETputs(KTEPS) 726.36\n",
            "Epoch 00161 | Time(s) 1.0669 | Loss 0.0930 | Accuracy 0.9695 | ETputs(KTEPS) 726.43\n",
            "Epoch 00162 | Time(s) 1.0874 | Loss 0.0926 | Accuracy 0.9696 | ETputs(KTEPS) 726.41\n",
            "Epoch 00163 | Time(s) 1.0730 | Loss 0.0924 | Accuracy 0.9698 | ETputs(KTEPS) 726.45\n",
            "Epoch 00164 | Time(s) 1.0606 | Loss 0.0916 | Accuracy 0.9693 | ETputs(KTEPS) 726.55\n",
            "Epoch 00165 | Time(s) 1.0861 | Loss 0.0914 | Accuracy 0.9698 | ETputs(KTEPS) 726.54\n",
            "Epoch 00166 | Time(s) 1.0758 | Loss 0.0911 | Accuracy 0.9705 | ETputs(KTEPS) 726.57\n",
            "Epoch 00167 | Time(s) 1.0699 | Loss 0.0904 | Accuracy 0.9705 | ETputs(KTEPS) 726.62\n",
            "Epoch 00168 | Time(s) 1.0686 | Loss 0.0900 | Accuracy 0.9707 | ETputs(KTEPS) 726.68\n",
            "Epoch 00169 | Time(s) 1.1455 | Loss 0.0897 | Accuracy 0.9705 | ETputs(KTEPS) 726.43\n",
            "Epoch 00170 | Time(s) 1.0716 | Loss 0.0894 | Accuracy 0.9710 | ETputs(KTEPS) 726.48\n",
            "Epoch 00171 | Time(s) 1.0572 | Loss 0.0887 | Accuracy 0.9710 | ETputs(KTEPS) 726.58\n",
            "Epoch 00172 | Time(s) 1.0582 | Loss 0.0885 | Accuracy 0.9709 | ETputs(KTEPS) 726.68\n",
            "Epoch 00173 | Time(s) 1.0710 | Loss 0.0882 | Accuracy 0.9711 | ETputs(KTEPS) 726.73\n",
            "Epoch 00174 | Time(s) 1.0816 | Loss 0.0877 | Accuracy 0.9713 | ETputs(KTEPS) 726.73\n",
            "Epoch 00175 | Time(s) 1.0748 | Loss 0.0873 | Accuracy 0.9714 | ETputs(KTEPS) 726.76\n",
            "Epoch 00176 | Time(s) 1.0660 | Loss 0.0869 | Accuracy 0.9716 | ETputs(KTEPS) 726.83\n",
            "Epoch 00177 | Time(s) 1.0593 | Loss 0.0866 | Accuracy 0.9717 | ETputs(KTEPS) 726.92\n",
            "Epoch 00178 | Time(s) 1.0654 | Loss 0.0862 | Accuracy 0.9716 | ETputs(KTEPS) 726.98\n",
            "Epoch 00179 | Time(s) 1.0691 | Loss 0.0858 | Accuracy 0.9717 | ETputs(KTEPS) 727.03\n",
            "Epoch 00180 | Time(s) 1.0727 | Loss 0.0855 | Accuracy 0.9717 | ETputs(KTEPS) 727.07\n",
            "Epoch 00181 | Time(s) 1.0833 | Loss 0.0852 | Accuracy 0.9719 | ETputs(KTEPS) 727.07\n",
            "Epoch 00182 | Time(s) 1.0602 | Loss 0.0848 | Accuracy 0.9720 | ETputs(KTEPS) 727.15\n",
            "Epoch 00183 | Time(s) 1.0714 | Loss 0.0845 | Accuracy 0.9723 | ETputs(KTEPS) 727.19\n",
            "Epoch 00184 | Time(s) 1.1376 | Loss 0.0841 | Accuracy 0.9724 | ETputs(KTEPS) 726.99\n",
            "Epoch 00185 | Time(s) 1.0694 | Loss 0.0838 | Accuracy 0.9723 | ETputs(KTEPS) 727.04\n",
            "Epoch 00186 | Time(s) 1.0761 | Loss 0.0834 | Accuracy 0.9726 | ETputs(KTEPS) 727.06\n",
            "Epoch 00187 | Time(s) 1.0738 | Loss 0.0832 | Accuracy 0.9726 | ETputs(KTEPS) 727.09\n",
            "Epoch 00188 | Time(s) 1.0794 | Loss 0.0828 | Accuracy 0.9730 | ETputs(KTEPS) 727.10\n",
            "Epoch 00189 | Time(s) 1.0580 | Loss 0.0825 | Accuracy 0.9727 | ETputs(KTEPS) 727.19\n",
            "Epoch 00190 | Time(s) 1.0927 | Loss 0.0823 | Accuracy 0.9728 | ETputs(KTEPS) 727.15\n",
            "Epoch 00191 | Time(s) 1.0663 | Loss 0.0824 | Accuracy 0.9719 | ETputs(KTEPS) 727.21\n",
            "Epoch 00192 | Time(s) 1.0544 | Loss 0.0834 | Accuracy 0.9710 | ETputs(KTEPS) 727.31\n",
            "Epoch 00193 | Time(s) 1.0798 | Loss 0.0877 | Accuracy 0.9591 | ETputs(KTEPS) 727.32\n",
            "Epoch 00194 | Time(s) 1.0691 | Loss 0.1066 | Accuracy 0.9182 | ETputs(KTEPS) 727.36\n",
            "Epoch 00195 | Time(s) 1.1402 | Loss 0.2082 | Accuracy 0.7465 | ETputs(KTEPS) 727.16\n",
            "Epoch 00196 | Time(s) 1.0618 | Loss 0.9867 | Accuracy 0.8284 | ETputs(KTEPS) 727.23\n",
            "Epoch 00197 | Time(s) 1.0723 | Loss 0.4200 | Accuracy 0.7329 | ETputs(KTEPS) 727.27\n",
            "Epoch 00198 | Time(s) 1.0825 | Loss 0.6917 | Accuracy 0.8234 | ETputs(KTEPS) 727.27\n",
            "Epoch 00199 | Time(s) 1.0613 | Loss 0.4437 | Accuracy 0.8650 | ETputs(KTEPS) 727.34\n",
            "Epoch 00200 | Time(s) 1.0623 | Loss 0.3307 | Accuracy 0.8800 | ETputs(KTEPS) 727.40\n",
            "Epoch 00201 | Time(s) 1.0634 | Loss 0.2736 | Accuracy 0.8960 | ETputs(KTEPS) 727.46\n",
            "Epoch 00202 | Time(s) 1.0719 | Loss 0.2531 | Accuracy 0.8980 | ETputs(KTEPS) 727.50\n",
            "Epoch 00203 | Time(s) 1.0667 | Loss 0.2666 | Accuracy 0.9055 | ETputs(KTEPS) 727.55\n",
            "Epoch 00204 | Time(s) 1.0672 | Loss 0.2768 | Accuracy 0.9107 | ETputs(KTEPS) 727.60\n",
            "Epoch 00205 | Time(s) 1.0796 | Loss 0.2653 | Accuracy 0.9103 | ETputs(KTEPS) 727.60\n",
            "Epoch 00206 | Time(s) 1.0743 | Loss 0.2549 | Accuracy 0.9100 | ETputs(KTEPS) 727.63\n",
            "Epoch 00207 | Time(s) 1.0662 | Loss 0.2457 | Accuracy 0.9077 | ETputs(KTEPS) 727.68\n",
            "Epoch 00208 | Time(s) 1.0716 | Loss 0.2316 | Accuracy 0.9084 | ETputs(KTEPS) 727.71\n",
            "Epoch 00209 | Time(s) 1.0786 | Loss 0.2244 | Accuracy 0.9174 | ETputs(KTEPS) 727.72\n",
            "Epoch 00210 | Time(s) 1.0682 | Loss 0.2252 | Accuracy 0.9106 | ETputs(KTEPS) 727.76\n",
            "Epoch 00211 | Time(s) 1.0784 | Loss 0.2241 | Accuracy 0.9140 | ETputs(KTEPS) 727.77\n",
            "Epoch 00212 | Time(s) 1.0810 | Loss 0.2148 | Accuracy 0.9174 | ETputs(KTEPS) 727.77\n",
            "Epoch 00213 | Time(s) 1.0542 | Loss 0.2093 | Accuracy 0.9180 | ETputs(KTEPS) 727.86\n",
            "Epoch 00214 | Time(s) 1.0694 | Loss 0.2090 | Accuracy 0.9203 | ETputs(KTEPS) 727.90\n",
            "Epoch 00215 | Time(s) 1.0862 | Loss 0.2069 | Accuracy 0.9244 | ETputs(KTEPS) 727.88\n",
            "Epoch 00216 | Time(s) 1.0417 | Loss 0.2009 | Accuracy 0.9281 | ETputs(KTEPS) 728.01\n",
            "Epoch 00217 | Time(s) 1.0650 | Loss 0.1945 | Accuracy 0.9298 | ETputs(KTEPS) 728.06\n",
            "Epoch 00218 | Time(s) 1.1383 | Loss 0.1914 | Accuracy 0.9312 | ETputs(KTEPS) 727.88\n",
            "Epoch 00219 | Time(s) 1.0570 | Loss 0.1897 | Accuracy 0.9317 | ETputs(KTEPS) 727.95\n",
            "Epoch 00220 | Time(s) 1.0641 | Loss 0.1860 | Accuracy 0.9309 | ETputs(KTEPS) 728.01\n",
            "Epoch 00221 | Time(s) 1.0653 | Loss 0.1834 | Accuracy 0.9314 | ETputs(KTEPS) 728.06\n",
            "Epoch 00222 | Time(s) 1.0652 | Loss 0.1827 | Accuracy 0.9341 | ETputs(KTEPS) 728.10\n",
            "Epoch 00223 | Time(s) 1.0578 | Loss 0.1802 | Accuracy 0.9362 | ETputs(KTEPS) 728.17\n",
            "Epoch 00224 | Time(s) 1.0465 | Loss 0.1763 | Accuracy 0.9366 | ETputs(KTEPS) 728.28\n",
            "Epoch 00225 | Time(s) 1.0707 | Loss 0.1743 | Accuracy 0.9367 | ETputs(KTEPS) 728.31\n",
            "Epoch 00226 | Time(s) 1.0685 | Loss 0.1729 | Accuracy 0.9379 | ETputs(KTEPS) 728.34\n",
            "Epoch 00227 | Time(s) 1.0673 | Loss 0.1700 | Accuracy 0.9386 | ETputs(KTEPS) 728.38\n",
            "Epoch 00228 | Time(s) 1.0670 | Loss 0.1674 | Accuracy 0.9393 | ETputs(KTEPS) 728.42\n",
            "Epoch 00229 | Time(s) 1.1492 | Loss 0.1656 | Accuracy 0.9405 | ETputs(KTEPS) 728.22\n",
            "Epoch 00230 | Time(s) 1.0772 | Loss 0.1637 | Accuracy 0.9417 | ETputs(KTEPS) 728.23\n",
            "Epoch 00231 | Time(s) 1.0799 | Loss 0.1613 | Accuracy 0.9428 | ETputs(KTEPS) 728.23\n",
            "Epoch 00232 | Time(s) 1.0922 | Loss 0.1594 | Accuracy 0.9436 | ETputs(KTEPS) 728.20\n",
            "Epoch 00233 | Time(s) 1.0660 | Loss 0.1582 | Accuracy 0.9442 | ETputs(KTEPS) 728.24\n",
            "Epoch 00234 | Time(s) 1.0643 | Loss 0.1569 | Accuracy 0.9449 | ETputs(KTEPS) 728.29\n",
            "Epoch 00235 | Time(s) 1.0643 | Loss 0.1552 | Accuracy 0.9452 | ETputs(KTEPS) 728.34\n",
            "Epoch 00236 | Time(s) 1.0806 | Loss 0.1536 | Accuracy 0.9453 | ETputs(KTEPS) 728.34\n",
            "Epoch 00237 | Time(s) 1.0783 | Loss 0.1522 | Accuracy 0.9461 | ETputs(KTEPS) 728.35\n",
            "Epoch 00238 | Time(s) 1.0727 | Loss 0.1504 | Accuracy 0.9473 | ETputs(KTEPS) 728.37\n",
            "Epoch 00239 | Time(s) 1.0642 | Loss 0.1487 | Accuracy 0.9478 | ETputs(KTEPS) 728.41\n",
            "Epoch 00240 | Time(s) 1.0656 | Loss 0.1475 | Accuracy 0.9483 | ETputs(KTEPS) 728.46\n",
            "Epoch 00241 | Time(s) 1.0648 | Loss 0.1464 | Accuracy 0.9490 | ETputs(KTEPS) 728.50\n",
            "Epoch 00242 | Time(s) 1.0805 | Loss 0.1449 | Accuracy 0.9493 | ETputs(KTEPS) 728.50\n",
            "Epoch 00243 | Time(s) 1.0722 | Loss 0.1436 | Accuracy 0.9497 | ETputs(KTEPS) 728.52\n",
            "Epoch 00244 | Time(s) 1.1225 | Loss 0.1426 | Accuracy 0.9504 | ETputs(KTEPS) 728.41\n",
            "Epoch 00245 | Time(s) 1.0638 | Loss 0.1415 | Accuracy 0.9509 | ETputs(KTEPS) 728.45\n",
            "Epoch 00246 | Time(s) 1.0658 | Loss 0.1404 | Accuracy 0.9515 | ETputs(KTEPS) 728.49\n",
            "Epoch 00247 | Time(s) 1.0607 | Loss 0.1395 | Accuracy 0.9519 | ETputs(KTEPS) 728.55\n",
            "Epoch 00248 | Time(s) 1.0769 | Loss 0.1386 | Accuracy 0.9520 | ETputs(KTEPS) 728.56\n",
            "Epoch 00249 | Time(s) 1.0674 | Loss 0.1374 | Accuracy 0.9522 | ETputs(KTEPS) 728.59\n",
            "Epoch 00250 | Time(s) 1.0639 | Loss 0.1365 | Accuracy 0.9525 | ETputs(KTEPS) 728.64\n",
            "Epoch 00251 | Time(s) 1.0566 | Loss 0.1356 | Accuracy 0.9528 | ETputs(KTEPS) 728.70\n",
            "Epoch 00252 | Time(s) 1.0678 | Loss 0.1347 | Accuracy 0.9534 | ETputs(KTEPS) 728.73\n",
            "Epoch 00253 | Time(s) 1.0762 | Loss 0.1338 | Accuracy 0.9538 | ETputs(KTEPS) 728.74\n",
            "Epoch 00254 | Time(s) 1.0569 | Loss 0.1330 | Accuracy 0.9539 | ETputs(KTEPS) 728.80\n",
            "Epoch 00255 | Time(s) 1.1571 | Loss 0.1321 | Accuracy 0.9541 | ETputs(KTEPS) 728.60\n",
            "Epoch 00256 | Time(s) 1.0703 | Loss 0.1313 | Accuracy 0.9543 | ETputs(KTEPS) 728.63\n",
            "Epoch 00257 | Time(s) 1.0793 | Loss 0.1305 | Accuracy 0.9547 | ETputs(KTEPS) 728.63\n",
            "Epoch 00258 | Time(s) 1.0680 | Loss 0.1298 | Accuracy 0.9551 | ETputs(KTEPS) 728.66\n",
            "Epoch 00259 | Time(s) 1.0763 | Loss 0.1290 | Accuracy 0.9555 | ETputs(KTEPS) 728.67\n",
            "Epoch 00260 | Time(s) 1.0719 | Loss 0.1283 | Accuracy 0.9558 | ETputs(KTEPS) 728.69\n",
            "Epoch 00261 | Time(s) 1.0691 | Loss 0.1275 | Accuracy 0.9560 | ETputs(KTEPS) 728.72\n",
            "Epoch 00262 | Time(s) 1.0745 | Loss 0.1268 | Accuracy 0.9563 | ETputs(KTEPS) 728.74\n",
            "Epoch 00263 | Time(s) 1.0745 | Loss 0.1262 | Accuracy 0.9564 | ETputs(KTEPS) 728.75\n",
            "Epoch 00264 | Time(s) 1.0771 | Loss 0.1255 | Accuracy 0.9564 | ETputs(KTEPS) 728.76\n",
            "Epoch 00265 | Time(s) 1.0796 | Loss 0.1249 | Accuracy 0.9566 | ETputs(KTEPS) 728.76\n",
            "Epoch 00266 | Time(s) 1.0630 | Loss 0.1242 | Accuracy 0.9568 | ETputs(KTEPS) 728.80\n",
            "Epoch 00267 | Time(s) 1.0813 | Loss 0.1236 | Accuracy 0.9571 | ETputs(KTEPS) 728.80\n",
            "Epoch 00268 | Time(s) 1.0605 | Loss 0.1230 | Accuracy 0.9574 | ETputs(KTEPS) 728.85\n",
            "Epoch 00269 | Time(s) 1.0789 | Loss 0.1224 | Accuracy 0.9577 | ETputs(KTEPS) 728.85\n",
            "Epoch 00270 | Time(s) 1.0613 | Loss 0.1218 | Accuracy 0.9579 | ETputs(KTEPS) 728.90\n",
            "Epoch 00271 | Time(s) 1.0438 | Loss 0.1212 | Accuracy 0.9582 | ETputs(KTEPS) 728.99\n",
            "Epoch 00272 | Time(s) 1.0651 | Loss 0.1206 | Accuracy 0.9585 | ETputs(KTEPS) 729.02\n",
            "Epoch 00273 | Time(s) 1.0686 | Loss 0.1200 | Accuracy 0.9587 | ETputs(KTEPS) 729.05\n",
            "Epoch 00274 | Time(s) 1.0673 | Loss 0.1194 | Accuracy 0.9590 | ETputs(KTEPS) 729.08\n",
            "Epoch 00275 | Time(s) 1.0724 | Loss 0.1189 | Accuracy 0.9589 | ETputs(KTEPS) 729.10\n",
            "Epoch 00276 | Time(s) 1.0643 | Loss 0.1183 | Accuracy 0.9592 | ETputs(KTEPS) 729.14\n",
            "Epoch 00277 | Time(s) 1.0701 | Loss 0.1177 | Accuracy 0.9594 | ETputs(KTEPS) 729.16\n",
            "Epoch 00278 | Time(s) 1.1413 | Loss 0.1172 | Accuracy 0.9598 | ETputs(KTEPS) 729.01\n",
            "Epoch 00279 | Time(s) 1.0773 | Loss 0.1167 | Accuracy 0.9601 | ETputs(KTEPS) 729.01\n",
            "Epoch 00280 | Time(s) 1.0632 | Loss 0.1161 | Accuracy 0.9602 | ETputs(KTEPS) 729.05\n",
            "Epoch 00281 | Time(s) 1.0568 | Loss 0.1156 | Accuracy 0.9603 | ETputs(KTEPS) 729.11\n",
            "Epoch 00282 | Time(s) 1.0849 | Loss 0.1151 | Accuracy 0.9604 | ETputs(KTEPS) 729.10\n",
            "Epoch 00283 | Time(s) 1.0634 | Loss 0.1146 | Accuracy 0.9605 | ETputs(KTEPS) 729.13\n",
            "Epoch 00284 | Time(s) 1.0716 | Loss 0.1141 | Accuracy 0.9606 | ETputs(KTEPS) 729.15\n",
            "Epoch 00285 | Time(s) 1.0708 | Loss 0.1136 | Accuracy 0.9606 | ETputs(KTEPS) 729.17\n",
            "Epoch 00286 | Time(s) 1.0897 | Loss 0.1131 | Accuracy 0.9608 | ETputs(KTEPS) 729.15\n",
            "Epoch 00287 | Time(s) 1.0759 | Loss 0.1126 | Accuracy 0.9611 | ETputs(KTEPS) 729.16\n",
            "Epoch 00288 | Time(s) 1.0768 | Loss 0.1121 | Accuracy 0.9614 | ETputs(KTEPS) 729.16\n",
            "Epoch 00289 | Time(s) 1.1433 | Loss 0.1117 | Accuracy 0.9615 | ETputs(KTEPS) 729.02\n",
            "Epoch 00290 | Time(s) 1.0669 | Loss 0.1112 | Accuracy 0.9617 | ETputs(KTEPS) 729.05\n",
            "Epoch 00291 | Time(s) 1.0672 | Loss 0.1107 | Accuracy 0.9619 | ETputs(KTEPS) 729.07\n",
            "Epoch 00292 | Time(s) 1.0803 | Loss 0.1103 | Accuracy 0.9621 | ETputs(KTEPS) 729.07\n",
            "Epoch 00293 | Time(s) 1.0703 | Loss 0.1098 | Accuracy 0.9622 | ETputs(KTEPS) 729.09\n",
            "Epoch 00294 | Time(s) 1.0724 | Loss 0.1094 | Accuracy 0.9623 | ETputs(KTEPS) 729.11\n",
            "Epoch 00295 | Time(s) 1.0623 | Loss 0.1089 | Accuracy 0.9625 | ETputs(KTEPS) 729.15\n",
            "Epoch 00296 | Time(s) 1.0724 | Loss 0.1085 | Accuracy 0.9627 | ETputs(KTEPS) 729.17\n",
            "Epoch 00297 | Time(s) 1.0707 | Loss 0.1081 | Accuracy 0.9629 | ETputs(KTEPS) 729.19\n",
            "Epoch 00298 | Time(s) 1.0825 | Loss 0.1076 | Accuracy 0.9630 | ETputs(KTEPS) 729.18\n",
            "Epoch 00299 | Time(s) 1.0738 | Loss 0.1072 | Accuracy 0.9631 | ETputs(KTEPS) 729.19\n",
            "Epoch 00300 | Time(s) 1.0668 | Loss 0.1068 | Accuracy 0.9635 | ETputs(KTEPS) 729.22\n",
            "Epoch 00301 | Time(s) 1.0632 | Loss 0.1064 | Accuracy 0.9636 | ETputs(KTEPS) 729.26\n",
            "Epoch 00302 | Time(s) 1.0637 | Loss 0.1059 | Accuracy 0.9637 | ETputs(KTEPS) 729.29\n",
            "Epoch 00303 | Time(s) 1.0745 | Loss 0.1055 | Accuracy 0.9640 | ETputs(KTEPS) 729.30\n",
            "Epoch 00304 | Time(s) 1.1424 | Loss 0.1051 | Accuracy 0.9642 | ETputs(KTEPS) 729.16\n",
            "Epoch 00305 | Time(s) 1.0656 | Loss 0.1047 | Accuracy 0.9643 | ETputs(KTEPS) 729.19\n",
            "Epoch 00306 | Time(s) 1.0498 | Loss 0.1043 | Accuracy 0.9645 | ETputs(KTEPS) 729.26\n",
            "Epoch 00307 | Time(s) 1.0564 | Loss 0.1039 | Accuracy 0.9646 | ETputs(KTEPS) 729.31\n",
            "Epoch 00308 | Time(s) 1.0637 | Loss 0.1035 | Accuracy 0.9647 | ETputs(KTEPS) 729.34\n",
            "Epoch 00309 | Time(s) 1.0523 | Loss 0.1031 | Accuracy 0.9648 | ETputs(KTEPS) 729.40\n",
            "Epoch 00310 | Time(s) 1.0500 | Loss 0.1027 | Accuracy 0.9649 | ETputs(KTEPS) 729.46\n",
            "Epoch 00311 | Time(s) 1.0657 | Loss 0.1024 | Accuracy 0.9652 | ETputs(KTEPS) 729.49\n",
            "Epoch 00312 | Time(s) 1.0649 | Loss 0.1020 | Accuracy 0.9655 | ETputs(KTEPS) 729.52\n",
            "Epoch 00313 | Time(s) 1.0637 | Loss 0.1016 | Accuracy 0.9655 | ETputs(KTEPS) 729.56\n",
            "Epoch 00314 | Time(s) 1.0662 | Loss 0.1012 | Accuracy 0.9657 | ETputs(KTEPS) 729.58\n",
            "Epoch 00315 | Time(s) 1.1355 | Loss 0.1009 | Accuracy 0.9658 | ETputs(KTEPS) 729.46\n",
            "Epoch 00316 | Time(s) 1.0495 | Loss 0.1005 | Accuracy 0.9659 | ETputs(KTEPS) 729.52\n",
            "Epoch 00317 | Time(s) 1.0902 | Loss 0.1002 | Accuracy 0.9661 | ETputs(KTEPS) 729.50\n",
            "Epoch 00318 | Time(s) 1.0710 | Loss 0.0998 | Accuracy 0.9662 | ETputs(KTEPS) 729.52\n",
            "Epoch 00319 | Time(s) 1.0709 | Loss 0.0995 | Accuracy 0.9663 | ETputs(KTEPS) 729.53\n",
            "Epoch 00320 | Time(s) 1.0666 | Loss 0.0991 | Accuracy 0.9665 | ETputs(KTEPS) 729.56\n",
            "Epoch 00321 | Time(s) 1.0703 | Loss 0.0988 | Accuracy 0.9666 | ETputs(KTEPS) 729.58\n",
            "Epoch 00322 | Time(s) 1.0662 | Loss 0.0984 | Accuracy 0.9668 | ETputs(KTEPS) 729.60\n",
            "Epoch 00323 | Time(s) 1.0765 | Loss 0.0981 | Accuracy 0.9669 | ETputs(KTEPS) 729.61\n",
            "Epoch 00324 | Time(s) 1.0928 | Loss 0.0978 | Accuracy 0.9670 | ETputs(KTEPS) 729.58\n",
            "Epoch 00325 | Time(s) 1.0748 | Loss 0.0974 | Accuracy 0.9671 | ETputs(KTEPS) 729.59\n",
            "Epoch 00326 | Time(s) 1.0473 | Loss 0.0971 | Accuracy 0.9672 | ETputs(KTEPS) 729.65\n",
            "Epoch 00327 | Time(s) 1.0661 | Loss 0.0967 | Accuracy 0.9673 | ETputs(KTEPS) 729.68\n",
            "Epoch 00328 | Time(s) 1.0656 | Loss 0.0964 | Accuracy 0.9674 | ETputs(KTEPS) 729.71\n",
            "Epoch 00329 | Time(s) 1.0723 | Loss 0.0961 | Accuracy 0.9675 | ETputs(KTEPS) 729.72\n",
            "Epoch 00330 | Time(s) 1.0711 | Loss 0.0957 | Accuracy 0.9675 | ETputs(KTEPS) 729.74\n",
            "Epoch 00331 | Time(s) 1.0623 | Loss 0.0954 | Accuracy 0.9676 | ETputs(KTEPS) 729.77\n",
            "Epoch 00332 | Time(s) 1.0645 | Loss 0.0951 | Accuracy 0.9677 | ETputs(KTEPS) 729.80\n",
            "Epoch 00333 | Time(s) 1.0791 | Loss 0.0947 | Accuracy 0.9678 | ETputs(KTEPS) 729.80\n",
            "Epoch 00334 | Time(s) 1.0514 | Loss 0.0943 | Accuracy 0.9678 | ETputs(KTEPS) 729.85\n",
            "Epoch 00335 | Time(s) 1.0662 | Loss 0.0940 | Accuracy 0.9679 | ETputs(KTEPS) 729.88\n",
            "Epoch 00336 | Time(s) 1.0778 | Loss 0.0936 | Accuracy 0.9680 | ETputs(KTEPS) 729.88\n",
            "Epoch 00337 | Time(s) 1.0615 | Loss 0.0932 | Accuracy 0.9681 | ETputs(KTEPS) 729.91\n",
            "Epoch 00338 | Time(s) 1.1291 | Loss 0.0928 | Accuracy 0.9680 | ETputs(KTEPS) 729.81\n",
            "Epoch 00339 | Time(s) 1.0865 | Loss 0.0924 | Accuracy 0.9683 | ETputs(KTEPS) 729.79\n",
            "Epoch 00340 | Time(s) 1.0658 | Loss 0.0920 | Accuracy 0.9683 | ETputs(KTEPS) 729.82\n",
            "Epoch 00341 | Time(s) 1.0856 | Loss 0.0916 | Accuracy 0.9686 | ETputs(KTEPS) 729.80\n",
            "Epoch 00342 | Time(s) 1.0794 | Loss 0.0912 | Accuracy 0.9688 | ETputs(KTEPS) 729.80\n",
            "Epoch 00343 | Time(s) 1.0691 | Loss 0.0908 | Accuracy 0.9691 | ETputs(KTEPS) 729.82\n",
            "Epoch 00344 | Time(s) 1.0641 | Loss 0.0904 | Accuracy 0.9693 | ETputs(KTEPS) 729.85\n",
            "Epoch 00345 | Time(s) 1.0679 | Loss 0.0900 | Accuracy 0.9695 | ETputs(KTEPS) 729.87\n",
            "Epoch 00346 | Time(s) 1.0673 | Loss 0.0896 | Accuracy 0.9697 | ETputs(KTEPS) 729.89\n",
            "Epoch 00347 | Time(s) 1.0484 | Loss 0.0892 | Accuracy 0.9699 | ETputs(KTEPS) 729.95\n",
            "Epoch 00348 | Time(s) 1.0554 | Loss 0.0888 | Accuracy 0.9701 | ETputs(KTEPS) 730.00\n",
            "Epoch 00349 | Time(s) 1.1575 | Loss 0.0884 | Accuracy 0.9706 | ETputs(KTEPS) 729.84\n",
            "Epoch 00350 | Time(s) 1.0462 | Loss 0.0881 | Accuracy 0.9709 | ETputs(KTEPS) 729.90\n",
            "Epoch 00351 | Time(s) 1.0667 | Loss 0.0877 | Accuracy 0.9710 | ETputs(KTEPS) 729.93\n",
            "Epoch 00352 | Time(s) 1.0610 | Loss 0.0874 | Accuracy 0.9713 | ETputs(KTEPS) 729.96\n",
            "Epoch 00353 | Time(s) 1.0639 | Loss 0.0870 | Accuracy 0.9717 | ETputs(KTEPS) 729.99\n",
            "Epoch 00354 | Time(s) 1.0624 | Loss 0.0866 | Accuracy 0.9718 | ETputs(KTEPS) 730.02\n",
            "Epoch 00355 | Time(s) 1.0727 | Loss 0.0863 | Accuracy 0.9721 | ETputs(KTEPS) 730.03\n",
            "Epoch 00356 | Time(s) 1.0649 | Loss 0.0859 | Accuracy 0.9722 | ETputs(KTEPS) 730.05\n",
            "Epoch 00357 | Time(s) 1.0610 | Loss 0.0856 | Accuracy 0.9723 | ETputs(KTEPS) 730.09\n",
            "Epoch 00358 | Time(s) 1.0780 | Loss 0.0853 | Accuracy 0.9724 | ETputs(KTEPS) 730.09\n",
            "Epoch 00359 | Time(s) 1.0759 | Loss 0.0850 | Accuracy 0.9724 | ETputs(KTEPS) 730.09\n",
            "Epoch 00360 | Time(s) 1.0739 | Loss 0.0846 | Accuracy 0.9725 | ETputs(KTEPS) 730.10\n",
            "Epoch 00361 | Time(s) 1.0467 | Loss 0.0843 | Accuracy 0.9726 | ETputs(KTEPS) 730.16\n",
            "Epoch 00362 | Time(s) 1.0580 | Loss 0.0840 | Accuracy 0.9727 | ETputs(KTEPS) 730.19\n",
            "Epoch 00363 | Time(s) 1.0645 | Loss 0.0837 | Accuracy 0.9728 | ETputs(KTEPS) 730.22\n",
            "Epoch 00364 | Time(s) 1.1472 | Loss 0.0834 | Accuracy 0.9726 | ETputs(KTEPS) 730.09\n",
            "Epoch 00365 | Time(s) 1.0532 | Loss 0.0831 | Accuracy 0.9730 | ETputs(KTEPS) 730.14\n",
            "Epoch 00366 | Time(s) 1.0767 | Loss 0.0829 | Accuracy 0.9727 | ETputs(KTEPS) 730.14\n",
            "Epoch 00367 | Time(s) 1.0799 | Loss 0.0829 | Accuracy 0.9728 | ETputs(KTEPS) 730.13\n",
            "Epoch 00368 | Time(s) 1.0626 | Loss 0.0837 | Accuracy 0.9702 | ETputs(KTEPS) 730.16\n",
            "Epoch 00369 | Time(s) 1.0619 | Loss 0.0868 | Accuracy 0.9688 | ETputs(KTEPS) 730.19\n",
            "Epoch 00370 | Time(s) 1.0761 | Loss 0.0942 | Accuracy 0.9650 | ETputs(KTEPS) 730.20\n",
            "Epoch 00371 | Time(s) 1.0647 | Loss 0.0956 | Accuracy 0.9725 | ETputs(KTEPS) 730.22\n",
            "Epoch 00372 | Time(s) 1.0629 | Loss 0.0845 | Accuracy 0.9710 | ETputs(KTEPS) 730.25\n",
            "Epoch 00373 | Time(s) 1.0794 | Loss 0.0888 | Accuracy 0.9690 | ETputs(KTEPS) 730.24\n",
            "Epoch 00374 | Time(s) 1.0749 | Loss 0.0881 | Accuracy 0.9722 | ETputs(KTEPS) 730.25\n",
            "Epoch 00375 | Time(s) 1.1605 | Loss 0.0824 | Accuracy 0.9715 | ETputs(KTEPS) 730.10\n",
            "Epoch 00376 | Time(s) 1.0759 | Loss 0.0873 | Accuracy 0.9728 | ETputs(KTEPS) 730.10\n",
            "Epoch 00377 | Time(s) 1.0733 | Loss 0.0816 | Accuracy 0.9711 | ETputs(KTEPS) 730.11\n",
            "Epoch 00378 | Time(s) 1.0699 | Loss 0.0841 | Accuracy 0.9732 | ETputs(KTEPS) 730.13\n",
            "Epoch 00379 | Time(s) 1.0809 | Loss 0.0847 | Accuracy 0.9738 | ETputs(KTEPS) 730.12\n",
            "Epoch 00380 | Time(s) 1.0672 | Loss 0.0809 | Accuracy 0.9714 | ETputs(KTEPS) 730.14\n",
            "Epoch 00381 | Time(s) 1.0709 | Loss 0.0841 | Accuracy 0.9737 | ETputs(KTEPS) 730.15\n",
            "Epoch 00382 | Time(s) 1.0631 | Loss 0.0803 | Accuracy 0.9732 | ETputs(KTEPS) 730.18\n",
            "Epoch 00383 | Time(s) 1.0721 | Loss 0.0813 | Accuracy 0.9716 | ETputs(KTEPS) 730.19\n",
            "Epoch 00384 | Time(s) 1.0770 | Loss 0.0825 | Accuracy 0.9743 | ETputs(KTEPS) 730.19\n",
            "Epoch 00385 | Time(s) 1.0777 | Loss 0.0795 | Accuracy 0.9739 | ETputs(KTEPS) 730.19\n",
            "Epoch 00386 | Time(s) 1.0819 | Loss 0.0807 | Accuracy 0.9732 | ETputs(KTEPS) 730.19\n",
            "Epoch 00387 | Time(s) 1.0828 | Loss 0.0796 | Accuracy 0.9738 | ETputs(KTEPS) 730.18\n",
            "Epoch 00388 | Time(s) 1.0677 | Loss 0.0788 | Accuracy 0.9742 | ETputs(KTEPS) 730.20\n",
            "Epoch 00389 | Time(s) 1.0689 | Loss 0.0799 | Accuracy 0.9741 | ETputs(KTEPS) 730.21\n",
            "Epoch 00390 | Time(s) 1.0722 | Loss 0.0782 | Accuracy 0.9737 | ETputs(KTEPS) 730.22\n",
            "Epoch 00391 | Time(s) 1.0572 | Loss 0.0784 | Accuracy 0.9745 | ETputs(KTEPS) 730.26\n",
            "Epoch 00392 | Time(s) 1.0840 | Loss 0.0785 | Accuracy 0.9745 | ETputs(KTEPS) 730.25\n",
            "Epoch 00393 | Time(s) 1.0667 | Loss 0.0772 | Accuracy 0.9739 | ETputs(KTEPS) 730.27\n",
            "Epoch 00394 | Time(s) 1.0713 | Loss 0.0775 | Accuracy 0.9747 | ETputs(KTEPS) 730.28\n",
            "Epoch 00395 | Time(s) 1.0730 | Loss 0.0773 | Accuracy 0.9747 | ETputs(KTEPS) 730.29\n",
            "Epoch 00396 | Time(s) 1.0655 | Loss 0.0767 | Accuracy 0.9746 | ETputs(KTEPS) 730.31\n",
            "Epoch 00397 | Time(s) 1.0717 | Loss 0.0766 | Accuracy 0.9751 | ETputs(KTEPS) 730.32\n",
            "Epoch 00398 | Time(s) 1.1674 | Loss 0.0764 | Accuracy 0.9752 | ETputs(KTEPS) 730.16\n",
            "Epoch 00399 | Time(s) 1.0923 | Loss 0.0759 | Accuracy 0.9751 | ETputs(KTEPS) 730.14\n",
            "Epoch 00400 | Time(s) 1.0775 | Loss 0.0755 | Accuracy 0.9755 | ETputs(KTEPS) 730.14\n",
            "Epoch 00401 | Time(s) 1.0732 | Loss 0.0757 | Accuracy 0.9747 | ETputs(KTEPS) 730.15\n",
            "Epoch 00402 | Time(s) 1.0771 | Loss 0.0752 | Accuracy 0.9754 | ETputs(KTEPS) 730.15\n",
            "Epoch 00403 | Time(s) 1.0690 | Loss 0.0749 | Accuracy 0.9756 | ETputs(KTEPS) 730.17\n",
            "Epoch 00404 | Time(s) 1.0938 | Loss 0.0747 | Accuracy 0.9751 | ETputs(KTEPS) 730.14\n",
            "Epoch 00405 | Time(s) 1.0872 | Loss 0.0746 | Accuracy 0.9756 | ETputs(KTEPS) 730.12\n",
            "Epoch 00406 | Time(s) 1.0691 | Loss 0.0744 | Accuracy 0.9757 | ETputs(KTEPS) 730.14\n",
            "Epoch 00407 | Time(s) 1.0751 | Loss 0.0740 | Accuracy 0.9758 | ETputs(KTEPS) 730.14\n",
            "Epoch 00408 | Time(s) 1.0919 | Loss 0.0738 | Accuracy 0.9758 | ETputs(KTEPS) 730.12\n",
            "Epoch 00409 | Time(s) 1.1470 | Loss 0.0736 | Accuracy 0.9755 | ETputs(KTEPS) 730.01\n",
            "Epoch 00410 | Time(s) 1.1023 | Loss 0.0735 | Accuracy 0.9760 | ETputs(KTEPS) 729.97\n",
            "Epoch 00411 | Time(s) 1.0900 | Loss 0.0731 | Accuracy 0.9759 | ETputs(KTEPS) 729.95\n",
            "Epoch 00412 | Time(s) 1.0733 | Loss 0.0730 | Accuracy 0.9761 | ETputs(KTEPS) 729.96\n",
            "Epoch 00413 | Time(s) 1.0690 | Loss 0.0726 | Accuracy 0.9762 | ETputs(KTEPS) 729.97\n",
            "Epoch 00414 | Time(s) 1.0557 | Loss 0.0725 | Accuracy 0.9761 | ETputs(KTEPS) 730.01\n",
            "Epoch 00415 | Time(s) 1.0739 | Loss 0.0723 | Accuracy 0.9766 | ETputs(KTEPS) 730.01\n",
            "Epoch 00416 | Time(s) 1.0656 | Loss 0.0723 | Accuracy 0.9758 | ETputs(KTEPS) 730.04\n",
            "Epoch 00417 | Time(s) 1.0909 | Loss 0.0722 | Accuracy 0.9766 | ETputs(KTEPS) 730.01\n",
            "Epoch 00418 | Time(s) 1.0647 | Loss 0.0722 | Accuracy 0.9757 | ETputs(KTEPS) 730.04\n",
            "Epoch 00419 | Time(s) 1.0707 | Loss 0.0723 | Accuracy 0.9763 | ETputs(KTEPS) 730.05\n",
            "Epoch 00420 | Time(s) 1.0699 | Loss 0.0726 | Accuracy 0.9749 | ETputs(KTEPS) 730.06\n",
            "Epoch 00421 | Time(s) 1.0692 | Loss 0.0730 | Accuracy 0.9757 | ETputs(KTEPS) 730.08\n",
            "Epoch 00422 | Time(s) 1.0762 | Loss 0.0745 | Accuracy 0.9727 | ETputs(KTEPS) 730.08\n",
            "Epoch 00423 | Time(s) 1.0976 | Loss 0.0760 | Accuracy 0.9746 | ETputs(KTEPS) 730.05\n",
            "Epoch 00424 | Time(s) 1.1537 | Loss 0.0773 | Accuracy 0.9741 | ETputs(KTEPS) 729.93\n",
            "Epoch 00425 | Time(s) 1.0678 | Loss 0.0745 | Accuracy 0.9766 | ETputs(KTEPS) 729.94\n",
            "Epoch 00426 | Time(s) 1.0784 | Loss 0.0709 | Accuracy 0.9765 | ETputs(KTEPS) 729.94\n",
            "Epoch 00427 | Time(s) 1.0789 | Loss 0.0718 | Accuracy 0.9741 | ETputs(KTEPS) 729.94\n",
            "Epoch 00428 | Time(s) 1.0702 | Loss 0.0748 | Accuracy 0.9738 | ETputs(KTEPS) 729.96\n",
            "Epoch 00429 | Time(s) 1.0945 | Loss 0.0798 | Accuracy 0.9729 | ETputs(KTEPS) 729.93\n",
            "Epoch 00430 | Time(s) 1.0561 | Loss 0.0760 | Accuracy 0.9765 | ETputs(KTEPS) 729.97\n",
            "Epoch 00431 | Time(s) 1.0616 | Loss 0.0721 | Accuracy 0.9768 | ETputs(KTEPS) 729.99\n",
            "Epoch 00432 | Time(s) 1.0639 | Loss 0.0718 | Accuracy 0.9752 | ETputs(KTEPS) 730.01\n",
            "Epoch 00433 | Time(s) 1.0667 | Loss 0.0729 | Accuracy 0.9763 | ETputs(KTEPS) 730.03\n",
            "Epoch 00434 | Time(s) 1.0635 | Loss 0.0708 | Accuracy 0.9768 | ETputs(KTEPS) 730.06\n",
            "Epoch 00435 | Time(s) 1.1309 | Loss 0.0699 | Accuracy 0.9762 | ETputs(KTEPS) 729.97\n",
            "Epoch 00436 | Time(s) 1.0763 | Loss 0.0706 | Accuracy 0.9771 | ETputs(KTEPS) 729.98\n",
            "Epoch 00437 | Time(s) 1.0632 | Loss 0.0715 | Accuracy 0.9763 | ETputs(KTEPS) 730.00\n",
            "Epoch 00438 | Time(s) 1.0649 | Loss 0.0698 | Accuracy 0.9767 | ETputs(KTEPS) 730.02\n",
            "Epoch 00439 | Time(s) 1.0683 | Loss 0.0692 | Accuracy 0.9768 | ETputs(KTEPS) 730.04\n",
            "Epoch 00440 | Time(s) 1.0542 | Loss 0.0692 | Accuracy 0.9760 | ETputs(KTEPS) 730.07\n",
            "Epoch 00441 | Time(s) 1.0818 | Loss 0.0704 | Accuracy 0.9768 | ETputs(KTEPS) 730.07\n",
            "Epoch 00442 | Time(s) 1.0656 | Loss 0.0708 | Accuracy 0.9767 | ETputs(KTEPS) 730.09\n",
            "Epoch 00443 | Time(s) 1.0588 | Loss 0.0690 | Accuracy 0.9775 | ETputs(KTEPS) 730.12\n",
            "Epoch 00444 | Time(s) 1.0804 | Loss 0.0680 | Accuracy 0.9771 | ETputs(KTEPS) 730.11\n",
            "Epoch 00445 | Time(s) 1.0655 | Loss 0.0685 | Accuracy 0.9769 | ETputs(KTEPS) 730.13\n",
            "Epoch 00446 | Time(s) 1.0637 | Loss 0.0683 | Accuracy 0.9774 | ETputs(KTEPS) 730.15\n",
            "Epoch 00447 | Time(s) 1.0831 | Loss 0.0687 | Accuracy 0.9768 | ETputs(KTEPS) 730.14\n",
            "Epoch 00448 | Time(s) 1.0806 | Loss 0.0684 | Accuracy 0.9777 | ETputs(KTEPS) 730.14\n",
            "Epoch 00449 | Time(s) 1.0646 | Loss 0.0686 | Accuracy 0.9771 | ETputs(KTEPS) 730.16\n",
            "Epoch 00450 | Time(s) 1.0680 | Loss 0.0672 | Accuracy 0.9777 | ETputs(KTEPS) 730.18\n",
            "Epoch 00451 | Time(s) 1.0736 | Loss 0.0671 | Accuracy 0.9776 | ETputs(KTEPS) 730.18\n",
            "Epoch 00452 | Time(s) 1.0690 | Loss 0.0666 | Accuracy 0.9779 | ETputs(KTEPS) 730.20\n",
            "Epoch 00453 | Time(s) 1.0744 | Loss 0.0661 | Accuracy 0.9782 | ETputs(KTEPS) 730.20\n",
            "Epoch 00454 | Time(s) 1.0876 | Loss 0.0665 | Accuracy 0.9777 | ETputs(KTEPS) 730.19\n",
            "Epoch 00455 | Time(s) 1.0663 | Loss 0.0661 | Accuracy 0.9779 | ETputs(KTEPS) 730.20\n",
            "Epoch 00456 | Time(s) 1.0719 | Loss 0.0677 | Accuracy 0.9736 | ETputs(KTEPS) 730.21\n",
            "Epoch 00457 | Time(s) 1.0715 | Loss 0.0711 | Accuracy 0.9721 | ETputs(KTEPS) 730.22\n",
            "Epoch 00458 | Time(s) 1.1350 | Loss 0.0839 | Accuracy 0.9541 | ETputs(KTEPS) 730.14\n",
            "Epoch 00459 | Time(s) 1.0764 | Loss 0.1296 | Accuracy 0.9032 | ETputs(KTEPS) 730.14\n",
            "Epoch 00460 | Time(s) 1.0922 | Loss 0.2812 | Accuracy 0.8458 | ETputs(KTEPS) 730.12\n",
            "Epoch 00461 | Time(s) 1.0644 | Loss 0.6781 | Accuracy 0.8166 | ETputs(KTEPS) 730.14\n",
            "Epoch 00462 | Time(s) 1.0559 | Loss 0.6929 | Accuracy 0.8451 | ETputs(KTEPS) 730.17\n",
            "Epoch 00463 | Time(s) 1.0599 | Loss 0.4824 | Accuracy 0.9122 | ETputs(KTEPS) 730.20\n",
            "Epoch 00464 | Time(s) 1.0736 | Loss 0.2604 | Accuracy 0.8804 | ETputs(KTEPS) 730.20\n",
            "Epoch 00465 | Time(s) 1.0690 | Loss 0.3380 | Accuracy 0.7840 | ETputs(KTEPS) 730.22\n",
            "Epoch 00466 | Time(s) 1.1012 | Loss 0.6799 | Accuracy 0.9094 | ETputs(KTEPS) 730.18\n",
            "Epoch 00467 | Time(s) 1.0777 | Loss 0.2887 | Accuracy 0.8659 | ETputs(KTEPS) 730.18\n",
            "Epoch 00468 | Time(s) 1.0534 | Loss 0.3786 | Accuracy 0.9043 | ETputs(KTEPS) 730.22\n",
            "Epoch 00469 | Time(s) 1.1481 | Loss 0.2746 | Accuracy 0.9035 | ETputs(KTEPS) 730.12\n",
            "Epoch 00470 | Time(s) 1.0649 | Loss 0.2909 | Accuracy 0.9081 | ETputs(KTEPS) 730.14\n",
            "Epoch 00471 | Time(s) 1.0761 | Loss 0.2514 | Accuracy 0.9029 | ETputs(KTEPS) 730.14\n",
            "Epoch 00472 | Time(s) 1.0934 | Loss 0.2506 | Accuracy 0.9043 | ETputs(KTEPS) 730.12\n",
            "Epoch 00473 | Time(s) 1.0765 | Loss 0.2577 | Accuracy 0.9094 | ETputs(KTEPS) 730.12\n",
            "Epoch 00474 | Time(s) 1.0677 | Loss 0.2386 | Accuracy 0.9198 | ETputs(KTEPS) 730.14\n",
            "Epoch 00475 | Time(s) 1.0661 | Loss 0.2201 | Accuracy 0.9227 | ETputs(KTEPS) 730.15\n",
            "Epoch 00476 | Time(s) 1.0791 | Loss 0.2150 | Accuracy 0.9283 | ETputs(KTEPS) 730.15\n",
            "Epoch 00477 | Time(s) 1.0597 | Loss 0.2125 | Accuracy 0.9258 | ETputs(KTEPS) 730.18\n",
            "Epoch 00478 | Time(s) 1.0966 | Loss 0.2082 | Accuracy 0.9272 | ETputs(KTEPS) 730.15\n",
            "Epoch 00479 | Time(s) 1.0883 | Loss 0.2029 | Accuracy 0.9298 | ETputs(KTEPS) 730.14\n",
            "Epoch 00480 | Time(s) 1.0608 | Loss 0.1982 | Accuracy 0.9336 | ETputs(KTEPS) 730.16\n",
            "Epoch 00481 | Time(s) 1.0572 | Loss 0.1947 | Accuracy 0.9346 | ETputs(KTEPS) 730.19\n",
            "Epoch 00482 | Time(s) 1.0513 | Loss 0.1915 | Accuracy 0.9343 | ETputs(KTEPS) 730.23\n",
            "Epoch 00483 | Time(s) 1.0757 | Loss 0.1876 | Accuracy 0.9357 | ETputs(KTEPS) 730.23\n",
            "Epoch 00484 | Time(s) 1.1789 | Loss 0.1826 | Accuracy 0.9380 | ETputs(KTEPS) 730.09\n",
            "Epoch 00485 | Time(s) 1.0614 | Loss 0.1778 | Accuracy 0.9409 | ETputs(KTEPS) 730.11\n",
            "Epoch 00486 | Time(s) 1.0750 | Loss 0.1742 | Accuracy 0.9413 | ETputs(KTEPS) 730.12\n",
            "Epoch 00487 | Time(s) 1.0722 | Loss 0.1709 | Accuracy 0.9411 | ETputs(KTEPS) 730.12\n",
            "Epoch 00488 | Time(s) 1.0493 | Loss 0.1678 | Accuracy 0.9419 | ETputs(KTEPS) 730.16\n",
            "Epoch 00489 | Time(s) 1.0749 | Loss 0.1645 | Accuracy 0.9431 | ETputs(KTEPS) 730.17\n",
            "Epoch 00490 | Time(s) 1.0646 | Loss 0.1608 | Accuracy 0.9446 | ETputs(KTEPS) 730.19\n",
            "Epoch 00491 | Time(s) 1.0690 | Loss 0.1579 | Accuracy 0.9456 | ETputs(KTEPS) 730.20\n",
            "Epoch 00492 | Time(s) 1.0746 | Loss 0.1561 | Accuracy 0.9468 | ETputs(KTEPS) 730.20\n",
            "Epoch 00493 | Time(s) 1.0544 | Loss 0.1540 | Accuracy 0.9478 | ETputs(KTEPS) 730.24\n",
            "Epoch 00494 | Time(s) 1.0741 | Loss 0.1511 | Accuracy 0.9482 | ETputs(KTEPS) 730.24\n",
            "Epoch 00495 | Time(s) 1.1307 | Loss 0.1483 | Accuracy 0.9488 | ETputs(KTEPS) 730.17\n",
            "Epoch 00496 | Time(s) 1.0732 | Loss 0.1463 | Accuracy 0.9489 | ETputs(KTEPS) 730.18\n",
            "Epoch 00497 | Time(s) 1.0738 | Loss 0.1448 | Accuracy 0.9493 | ETputs(KTEPS) 730.18\n",
            "Epoch 00498 | Time(s) 1.0704 | Loss 0.1430 | Accuracy 0.9506 | ETputs(KTEPS) 730.19\n",
            "Epoch 00499 | Time(s) 1.0690 | Loss 0.1410 | Accuracy 0.9515 | ETputs(KTEPS) 730.20\n",
            "Epoch 00500 | Time(s) 1.0569 | Loss 0.1392 | Accuracy 0.9524 | ETputs(KTEPS) 730.23\n",
            "Epoch 00501 | Time(s) 1.0852 | Loss 0.1380 | Accuracy 0.9526 | ETputs(KTEPS) 730.22\n",
            "Epoch 00502 | Time(s) 1.0751 | Loss 0.1367 | Accuracy 0.9529 | ETputs(KTEPS) 730.23\n",
            "Epoch 00503 | Time(s) 1.0993 | Loss 0.1352 | Accuracy 0.9532 | ETputs(KTEPS) 730.20\n",
            "Epoch 00504 | Time(s) 1.0769 | Loss 0.1337 | Accuracy 0.9537 | ETputs(KTEPS) 730.20\n",
            "Epoch 00505 | Time(s) 1.0650 | Loss 0.1326 | Accuracy 0.9540 | ETputs(KTEPS) 730.22\n",
            "Epoch 00506 | Time(s) 1.0667 | Loss 0.1316 | Accuracy 0.9543 | ETputs(KTEPS) 730.23\n",
            "Epoch 00507 | Time(s) 1.0694 | Loss 0.1305 | Accuracy 0.9547 | ETputs(KTEPS) 730.24\n",
            "Epoch 00508 | Time(s) 1.0637 | Loss 0.1293 | Accuracy 0.9553 | ETputs(KTEPS) 730.26\n",
            "Epoch 00509 | Time(s) 1.0821 | Loss 0.1283 | Accuracy 0.9557 | ETputs(KTEPS) 730.26\n",
            "Epoch 00510 | Time(s) 1.0872 | Loss 0.1275 | Accuracy 0.9562 | ETputs(KTEPS) 730.24\n",
            "Epoch 00511 | Time(s) 1.0697 | Loss 0.1266 | Accuracy 0.9564 | ETputs(KTEPS) 730.25\n",
            "Epoch 00512 | Time(s) 1.0734 | Loss 0.1256 | Accuracy 0.9567 | ETputs(KTEPS) 730.26\n",
            "Epoch 00513 | Time(s) 1.0678 | Loss 0.1246 | Accuracy 0.9566 | ETputs(KTEPS) 730.27\n",
            "Epoch 00514 | Time(s) 1.0772 | Loss 0.1238 | Accuracy 0.9569 | ETputs(KTEPS) 730.27\n",
            "Epoch 00515 | Time(s) 1.0610 | Loss 0.1230 | Accuracy 0.9576 | ETputs(KTEPS) 730.30\n",
            "Epoch 00516 | Time(s) 1.0746 | Loss 0.1221 | Accuracy 0.9584 | ETputs(KTEPS) 730.30\n",
            "Epoch 00517 | Time(s) 1.0594 | Loss 0.1212 | Accuracy 0.9592 | ETputs(KTEPS) 730.32\n",
            "Epoch 00518 | Time(s) 1.1354 | Loss 0.1205 | Accuracy 0.9595 | ETputs(KTEPS) 730.25\n",
            "Epoch 00519 | Time(s) 1.0486 | Loss 0.1197 | Accuracy 0.9594 | ETputs(KTEPS) 730.29\n",
            "Epoch 00520 | Time(s) 1.0695 | Loss 0.1189 | Accuracy 0.9592 | ETputs(KTEPS) 730.30\n",
            "Epoch 00521 | Time(s) 1.0607 | Loss 0.1181 | Accuracy 0.9595 | ETputs(KTEPS) 730.32\n",
            "Epoch 00522 | Time(s) 1.0721 | Loss 0.1175 | Accuracy 0.9600 | ETputs(KTEPS) 730.33\n",
            "Epoch 00523 | Time(s) 1.0691 | Loss 0.1167 | Accuracy 0.9607 | ETputs(KTEPS) 730.34\n",
            "Epoch 00524 | Time(s) 1.0672 | Loss 0.1160 | Accuracy 0.9612 | ETputs(KTEPS) 730.35\n",
            "Epoch 00525 | Time(s) 1.0525 | Loss 0.1154 | Accuracy 0.9615 | ETputs(KTEPS) 730.38\n",
            "Epoch 00526 | Time(s) 1.0664 | Loss 0.1148 | Accuracy 0.9617 | ETputs(KTEPS) 730.40\n",
            "Epoch 00527 | Time(s) 1.0821 | Loss 0.1141 | Accuracy 0.9619 | ETputs(KTEPS) 730.39\n",
            "Epoch 00528 | Time(s) 1.0672 | Loss 0.1135 | Accuracy 0.9620 | ETputs(KTEPS) 730.41\n",
            "Epoch 00529 | Time(s) 1.1468 | Loss 0.1130 | Accuracy 0.9622 | ETputs(KTEPS) 730.32\n",
            "Epoch 00530 | Time(s) 1.0713 | Loss 0.1124 | Accuracy 0.9625 | ETputs(KTEPS) 730.33\n",
            "Epoch 00531 | Time(s) 1.0704 | Loss 0.1118 | Accuracy 0.9627 | ETputs(KTEPS) 730.34\n",
            "Epoch 00532 | Time(s) 1.0647 | Loss 0.1113 | Accuracy 0.9629 | ETputs(KTEPS) 730.35\n",
            "Epoch 00533 | Time(s) 1.0593 | Loss 0.1107 | Accuracy 0.9633 | ETputs(KTEPS) 730.38\n",
            "Epoch 00534 | Time(s) 1.0758 | Loss 0.1102 | Accuracy 0.9634 | ETputs(KTEPS) 730.38\n",
            "Epoch 00535 | Time(s) 1.0834 | Loss 0.1097 | Accuracy 0.9636 | ETputs(KTEPS) 730.37\n",
            "Epoch 00536 | Time(s) 1.0835 | Loss 0.1092 | Accuracy 0.9638 | ETputs(KTEPS) 730.36\n",
            "Epoch 00537 | Time(s) 1.0681 | Loss 0.1087 | Accuracy 0.9641 | ETputs(KTEPS) 730.38\n",
            "Epoch 00538 | Time(s) 1.0751 | Loss 0.1082 | Accuracy 0.9643 | ETputs(KTEPS) 730.38\n",
            "Epoch 00539 | Time(s) 1.0724 | Loss 0.1077 | Accuracy 0.9645 | ETputs(KTEPS) 730.39\n",
            "Epoch 00540 | Time(s) 1.0891 | Loss 0.1072 | Accuracy 0.9647 | ETputs(KTEPS) 730.37\n",
            "Epoch 00541 | Time(s) 1.0712 | Loss 0.1067 | Accuracy 0.9648 | ETputs(KTEPS) 730.38\n",
            "Epoch 00542 | Time(s) 1.0638 | Loss 0.1063 | Accuracy 0.9650 | ETputs(KTEPS) 730.40\n",
            "Epoch 00543 | Time(s) 1.0662 | Loss 0.1058 | Accuracy 0.9652 | ETputs(KTEPS) 730.41\n",
            "Epoch 00544 | Time(s) 1.1391 | Loss 0.1054 | Accuracy 0.9653 | ETputs(KTEPS) 730.33\n",
            "Epoch 00545 | Time(s) 1.0929 | Loss 0.1050 | Accuracy 0.9655 | ETputs(KTEPS) 730.32\n",
            "Epoch 00546 | Time(s) 1.0806 | Loss 0.1045 | Accuracy 0.9657 | ETputs(KTEPS) 730.31\n",
            "Epoch 00547 | Time(s) 1.0829 | Loss 0.1041 | Accuracy 0.9658 | ETputs(KTEPS) 730.31\n",
            "Epoch 00548 | Time(s) 1.0976 | Loss 0.1037 | Accuracy 0.9659 | ETputs(KTEPS) 730.28\n",
            "Epoch 00549 | Time(s) 1.0493 | Loss 0.1033 | Accuracy 0.9662 | ETputs(KTEPS) 730.32\n",
            "Epoch 00550 | Time(s) 1.0676 | Loss 0.1029 | Accuracy 0.9663 | ETputs(KTEPS) 730.33\n",
            "Epoch 00551 | Time(s) 1.0643 | Loss 0.1025 | Accuracy 0.9665 | ETputs(KTEPS) 730.35\n",
            "Epoch 00552 | Time(s) 1.0651 | Loss 0.1021 | Accuracy 0.9665 | ETputs(KTEPS) 730.36\n",
            "Epoch 00553 | Time(s) 1.0774 | Loss 0.1017 | Accuracy 0.9667 | ETputs(KTEPS) 730.36\n",
            "Epoch 00554 | Time(s) 1.0742 | Loss 0.1013 | Accuracy 0.9667 | ETputs(KTEPS) 730.37\n",
            "Epoch 00555 | Time(s) 1.1292 | Loss 0.1009 | Accuracy 0.9669 | ETputs(KTEPS) 730.30\n",
            "Epoch 00556 | Time(s) 1.0743 | Loss 0.1005 | Accuracy 0.9670 | ETputs(KTEPS) 730.31\n",
            "Epoch 00557 | Time(s) 1.0773 | Loss 0.1001 | Accuracy 0.9671 | ETputs(KTEPS) 730.31\n",
            "Epoch 00558 | Time(s) 1.0667 | Loss 0.0998 | Accuracy 0.9672 | ETputs(KTEPS) 730.32\n",
            "Epoch 00559 | Time(s) 1.0652 | Loss 0.0994 | Accuracy 0.9674 | ETputs(KTEPS) 730.34\n",
            "Epoch 00560 | Time(s) 1.0783 | Loss 0.0991 | Accuracy 0.9675 | ETputs(KTEPS) 730.34\n",
            "Epoch 00561 | Time(s) 1.0681 | Loss 0.0987 | Accuracy 0.9675 | ETputs(KTEPS) 730.35\n",
            "Epoch 00562 | Time(s) 1.0716 | Loss 0.0984 | Accuracy 0.9678 | ETputs(KTEPS) 730.35\n",
            "Epoch 00563 | Time(s) 1.0819 | Loss 0.0981 | Accuracy 0.9680 | ETputs(KTEPS) 730.35\n",
            "Epoch 00564 | Time(s) 1.0722 | Loss 0.0977 | Accuracy 0.9681 | ETputs(KTEPS) 730.36\n",
            "Epoch 00565 | Time(s) 1.0792 | Loss 0.0974 | Accuracy 0.9683 | ETputs(KTEPS) 730.35\n",
            "Epoch 00566 | Time(s) 1.0559 | Loss 0.0971 | Accuracy 0.9684 | ETputs(KTEPS) 730.38\n",
            "Epoch 00567 | Time(s) 1.0643 | Loss 0.0968 | Accuracy 0.9685 | ETputs(KTEPS) 730.40\n",
            "Epoch 00568 | Time(s) 1.0703 | Loss 0.0964 | Accuracy 0.9687 | ETputs(KTEPS) 730.41\n",
            "Epoch 00569 | Time(s) 1.0505 | Loss 0.0961 | Accuracy 0.9688 | ETputs(KTEPS) 730.44\n",
            "Epoch 00570 | Time(s) 1.0625 | Loss 0.0958 | Accuracy 0.9689 | ETputs(KTEPS) 730.46\n",
            "Epoch 00571 | Time(s) 1.0727 | Loss 0.0955 | Accuracy 0.9689 | ETputs(KTEPS) 730.46\n",
            "Epoch 00572 | Time(s) 1.0598 | Loss 0.0952 | Accuracy 0.9690 | ETputs(KTEPS) 730.48\n",
            "Epoch 00573 | Time(s) 1.0684 | Loss 0.0949 | Accuracy 0.9691 | ETputs(KTEPS) 730.49\n",
            "Epoch 00574 | Time(s) 1.0568 | Loss 0.0946 | Accuracy 0.9694 | ETputs(KTEPS) 730.52\n",
            "Epoch 00575 | Time(s) 1.0824 | Loss 0.0943 | Accuracy 0.9695 | ETputs(KTEPS) 730.51\n",
            "Epoch 00576 | Time(s) 1.0763 | Loss 0.0940 | Accuracy 0.9696 | ETputs(KTEPS) 730.51\n",
            "Epoch 00577 | Time(s) 1.0727 | Loss 0.0937 | Accuracy 0.9698 | ETputs(KTEPS) 730.52\n",
            "Epoch 00578 | Time(s) 1.1430 | Loss 0.0934 | Accuracy 0.9699 | ETputs(KTEPS) 730.44\n",
            "Epoch 00579 | Time(s) 1.0517 | Loss 0.0932 | Accuracy 0.9701 | ETputs(KTEPS) 730.47\n",
            "Epoch 00580 | Time(s) 1.0683 | Loss 0.0929 | Accuracy 0.9702 | ETputs(KTEPS) 730.48\n",
            "Epoch 00581 | Time(s) 1.0709 | Loss 0.0926 | Accuracy 0.9703 | ETputs(KTEPS) 730.49\n",
            "Epoch 00582 | Time(s) 1.0729 | Loss 0.0923 | Accuracy 0.9704 | ETputs(KTEPS) 730.50\n",
            "Epoch 00583 | Time(s) 1.0664 | Loss 0.0921 | Accuracy 0.9706 | ETputs(KTEPS) 730.51\n",
            "Epoch 00584 | Time(s) 1.0569 | Loss 0.0918 | Accuracy 0.9707 | ETputs(KTEPS) 730.53\n",
            "Epoch 00585 | Time(s) 1.0442 | Loss 0.0915 | Accuracy 0.9708 | ETputs(KTEPS) 730.57\n",
            "Epoch 00586 | Time(s) 1.0667 | Loss 0.0913 | Accuracy 0.9708 | ETputs(KTEPS) 730.58\n",
            "Epoch 00587 | Time(s) 1.0667 | Loss 0.0910 | Accuracy 0.9710 | ETputs(KTEPS) 730.60\n",
            "Epoch 00588 | Time(s) 1.0663 | Loss 0.0907 | Accuracy 0.9710 | ETputs(KTEPS) 730.61\n",
            "Epoch 00589 | Time(s) 1.1519 | Loss 0.0904 | Accuracy 0.9711 | ETputs(KTEPS) 730.52\n",
            "Epoch 00590 | Time(s) 1.0772 | Loss 0.0902 | Accuracy 0.9712 | ETputs(KTEPS) 730.52\n",
            "Epoch 00591 | Time(s) 1.0665 | Loss 0.0899 | Accuracy 0.9713 | ETputs(KTEPS) 730.54\n",
            "Epoch 00592 | Time(s) 1.0653 | Loss 0.0896 | Accuracy 0.9713 | ETputs(KTEPS) 730.55\n",
            "Epoch 00593 | Time(s) 1.0785 | Loss 0.0894 | Accuracy 0.9714 | ETputs(KTEPS) 730.55\n",
            "Epoch 00594 | Time(s) 1.0749 | Loss 0.0891 | Accuracy 0.9715 | ETputs(KTEPS) 730.55\n",
            "Epoch 00595 | Time(s) 1.0617 | Loss 0.0889 | Accuracy 0.9716 | ETputs(KTEPS) 730.57\n",
            "Epoch 00596 | Time(s) 1.0764 | Loss 0.0886 | Accuracy 0.9718 | ETputs(KTEPS) 730.57\n",
            "Epoch 00597 | Time(s) 1.0695 | Loss 0.0884 | Accuracy 0.9718 | ETputs(KTEPS) 730.58\n",
            "Epoch 00598 | Time(s) 1.0810 | Loss 0.0882 | Accuracy 0.9718 | ETputs(KTEPS) 730.57\n",
            "Epoch 00599 | Time(s) 1.0690 | Loss 0.0879 | Accuracy 0.9719 | ETputs(KTEPS) 730.58\n",
            "Epoch 00600 | Time(s) 1.0800 | Loss 0.0877 | Accuracy 0.9719 | ETputs(KTEPS) 730.58\n",
            "Epoch 00601 | Time(s) 1.0741 | Loss 0.0875 | Accuracy 0.9720 | ETputs(KTEPS) 730.59\n",
            "Epoch 00602 | Time(s) 1.0745 | Loss 0.0873 | Accuracy 0.9721 | ETputs(KTEPS) 730.59\n",
            "Epoch 00603 | Time(s) 1.0693 | Loss 0.0870 | Accuracy 0.9722 | ETputs(KTEPS) 730.60\n",
            "Epoch 00604 | Time(s) 1.1480 | Loss 0.0868 | Accuracy 0.9722 | ETputs(KTEPS) 730.52\n",
            "Epoch 00605 | Time(s) 1.0682 | Loss 0.0866 | Accuracy 0.9722 | ETputs(KTEPS) 730.53\n",
            "Epoch 00606 | Time(s) 1.0566 | Loss 0.0864 | Accuracy 0.9723 | ETputs(KTEPS) 730.55\n",
            "Epoch 00607 | Time(s) 1.0647 | Loss 0.0862 | Accuracy 0.9724 | ETputs(KTEPS) 730.57\n",
            "Epoch 00608 | Time(s) 1.0873 | Loss 0.0860 | Accuracy 0.9725 | ETputs(KTEPS) 730.56\n",
            "Epoch 00609 | Time(s) 1.0646 | Loss 0.0858 | Accuracy 0.9725 | ETputs(KTEPS) 730.57\n",
            "Epoch 00610 | Time(s) 1.0645 | Loss 0.0856 | Accuracy 0.9726 | ETputs(KTEPS) 730.58\n",
            "Epoch 00611 | Time(s) 1.0803 | Loss 0.0853 | Accuracy 0.9727 | ETputs(KTEPS) 730.58\n",
            "Epoch 00612 | Time(s) 1.0601 | Loss 0.0851 | Accuracy 0.9727 | ETputs(KTEPS) 730.60\n",
            "Epoch 00613 | Time(s) 1.0677 | Loss 0.0849 | Accuracy 0.9728 | ETputs(KTEPS) 730.61\n",
            "Epoch 00614 | Time(s) 1.0694 | Loss 0.0847 | Accuracy 0.9729 | ETputs(KTEPS) 730.62\n",
            "Epoch 00615 | Time(s) 1.1467 | Loss 0.0845 | Accuracy 0.9730 | ETputs(KTEPS) 730.54\n",
            "Epoch 00616 | Time(s) 1.0723 | Loss 0.0843 | Accuracy 0.9730 | ETputs(KTEPS) 730.55\n",
            "Epoch 00617 | Time(s) 1.0641 | Loss 0.0842 | Accuracy 0.9730 | ETputs(KTEPS) 730.56\n",
            "Epoch 00618 | Time(s) 1.0632 | Loss 0.0840 | Accuracy 0.9731 | ETputs(KTEPS) 730.58\n",
            "Epoch 00619 | Time(s) 1.0496 | Loss 0.0838 | Accuracy 0.9732 | ETputs(KTEPS) 730.61\n",
            "Epoch 00620 | Time(s) 1.0524 | Loss 0.0836 | Accuracy 0.9733 | ETputs(KTEPS) 730.64\n",
            "Epoch 00621 | Time(s) 1.0882 | Loss 0.0834 | Accuracy 0.9734 | ETputs(KTEPS) 730.62\n",
            "Epoch 00622 | Time(s) 1.0719 | Loss 0.0832 | Accuracy 0.9734 | ETputs(KTEPS) 730.63\n",
            "Epoch 00623 | Time(s) 1.0692 | Loss 0.0830 | Accuracy 0.9734 | ETputs(KTEPS) 730.64\n",
            "Epoch 00624 | Time(s) 1.0896 | Loss 0.0828 | Accuracy 0.9735 | ETputs(KTEPS) 730.63\n",
            "Epoch 00625 | Time(s) 1.0768 | Loss 0.0826 | Accuracy 0.9735 | ETputs(KTEPS) 730.63\n",
            "Epoch 00626 | Time(s) 1.0684 | Loss 0.0825 | Accuracy 0.9736 | ETputs(KTEPS) 730.64\n",
            "Epoch 00627 | Time(s) 1.0797 | Loss 0.0823 | Accuracy 0.9736 | ETputs(KTEPS) 730.63\n",
            "Epoch 00628 | Time(s) 1.0875 | Loss 0.0821 | Accuracy 0.9736 | ETputs(KTEPS) 730.62\n",
            "Epoch 00629 | Time(s) 1.0629 | Loss 0.0819 | Accuracy 0.9736 | ETputs(KTEPS) 730.64\n",
            "Epoch 00630 | Time(s) 1.0674 | Loss 0.0818 | Accuracy 0.9736 | ETputs(KTEPS) 730.65\n",
            "Epoch 00631 | Time(s) 1.0582 | Loss 0.0816 | Accuracy 0.9736 | ETputs(KTEPS) 730.67\n",
            "Epoch 00632 | Time(s) 1.0758 | Loss 0.0814 | Accuracy 0.9737 | ETputs(KTEPS) 730.67\n",
            "Epoch 00633 | Time(s) 1.0690 | Loss 0.0812 | Accuracy 0.9737 | ETputs(KTEPS) 730.68\n",
            "Epoch 00634 | Time(s) 1.0761 | Loss 0.0811 | Accuracy 0.9737 | ETputs(KTEPS) 730.68\n",
            "Epoch 00635 | Time(s) 1.0738 | Loss 0.0809 | Accuracy 0.9738 | ETputs(KTEPS) 730.68\n",
            "Epoch 00636 | Time(s) 1.0845 | Loss 0.0807 | Accuracy 0.9738 | ETputs(KTEPS) 730.68\n",
            "Epoch 00637 | Time(s) 1.0743 | Loss 0.0805 | Accuracy 0.9738 | ETputs(KTEPS) 730.68\n",
            "Epoch 00638 | Time(s) 1.1420 | Loss 0.0804 | Accuracy 0.9738 | ETputs(KTEPS) 730.61\n",
            "Epoch 00639 | Time(s) 1.0474 | Loss 0.0802 | Accuracy 0.9739 | ETputs(KTEPS) 730.64\n",
            "Epoch 00640 | Time(s) 1.0604 | Loss 0.0800 | Accuracy 0.9739 | ETputs(KTEPS) 730.66\n",
            "Epoch 00641 | Time(s) 1.0686 | Loss 0.0799 | Accuracy 0.9740 | ETputs(KTEPS) 730.67\n",
            "Epoch 00642 | Time(s) 1.0886 | Loss 0.0797 | Accuracy 0.9740 | ETputs(KTEPS) 730.66\n",
            "Epoch 00643 | Time(s) 1.0643 | Loss 0.0795 | Accuracy 0.9741 | ETputs(KTEPS) 730.67\n",
            "Epoch 00644 | Time(s) 1.0735 | Loss 0.0794 | Accuracy 0.9741 | ETputs(KTEPS) 730.67\n",
            "Epoch 00645 | Time(s) 1.0728 | Loss 0.0792 | Accuracy 0.9742 | ETputs(KTEPS) 730.68\n",
            "Epoch 00646 | Time(s) 1.1021 | Loss 0.0790 | Accuracy 0.9743 | ETputs(KTEPS) 730.65\n",
            "Epoch 00647 | Time(s) 1.0686 | Loss 0.0789 | Accuracy 0.9743 | ETputs(KTEPS) 730.66\n",
            "Epoch 00648 | Time(s) 1.0658 | Loss 0.0787 | Accuracy 0.9744 | ETputs(KTEPS) 730.67\n",
            "Epoch 00649 | Time(s) 1.1400 | Loss 0.0785 | Accuracy 0.9744 | ETputs(KTEPS) 730.61\n",
            "Epoch 00650 | Time(s) 1.0699 | Loss 0.0784 | Accuracy 0.9745 | ETputs(KTEPS) 730.62\n",
            "Epoch 00651 | Time(s) 1.0868 | Loss 0.0782 | Accuracy 0.9745 | ETputs(KTEPS) 730.61\n",
            "Epoch 00652 | Time(s) 1.0840 | Loss 0.0780 | Accuracy 0.9745 | ETputs(KTEPS) 730.60\n",
            "Epoch 00653 | Time(s) 1.0784 | Loss 0.0779 | Accuracy 0.9746 | ETputs(KTEPS) 730.60\n",
            "Epoch 00654 | Time(s) 1.0747 | Loss 0.0777 | Accuracy 0.9747 | ETputs(KTEPS) 730.60\n",
            "Epoch 00655 | Time(s) 1.0558 | Loss 0.0776 | Accuracy 0.9747 | ETputs(KTEPS) 730.62\n",
            "Epoch 00656 | Time(s) 1.0763 | Loss 0.0774 | Accuracy 0.9747 | ETputs(KTEPS) 730.62\n",
            "Epoch 00657 | Time(s) 1.0740 | Loss 0.0773 | Accuracy 0.9747 | ETputs(KTEPS) 730.63\n",
            "Epoch 00658 | Time(s) 1.0690 | Loss 0.0771 | Accuracy 0.9748 | ETputs(KTEPS) 730.64\n",
            "Epoch 00659 | Time(s) 1.0723 | Loss 0.0770 | Accuracy 0.9748 | ETputs(KTEPS) 730.64\n",
            "Epoch 00660 | Time(s) 1.0766 | Loss 0.0768 | Accuracy 0.9748 | ETputs(KTEPS) 730.64\n",
            "Epoch 00661 | Time(s) 1.0685 | Loss 0.0767 | Accuracy 0.9748 | ETputs(KTEPS) 730.65\n",
            "Epoch 00662 | Time(s) 1.0631 | Loss 0.0765 | Accuracy 0.9750 | ETputs(KTEPS) 730.67\n",
            "Epoch 00663 | Time(s) 1.0733 | Loss 0.0764 | Accuracy 0.9750 | ETputs(KTEPS) 730.67\n",
            "Epoch 00664 | Time(s) 1.1498 | Loss 0.0762 | Accuracy 0.9751 | ETputs(KTEPS) 730.60\n",
            "Epoch 00665 | Time(s) 1.0690 | Loss 0.0761 | Accuracy 0.9752 | ETputs(KTEPS) 730.60\n",
            "Epoch 00666 | Time(s) 1.0674 | Loss 0.0759 | Accuracy 0.9753 | ETputs(KTEPS) 730.61\n",
            "Epoch 00667 | Time(s) 1.0696 | Loss 0.0758 | Accuracy 0.9754 | ETputs(KTEPS) 730.62\n",
            "Epoch 00668 | Time(s) 1.0753 | Loss 0.0757 | Accuracy 0.9754 | ETputs(KTEPS) 730.62\n",
            "Epoch 00669 | Time(s) 1.0810 | Loss 0.0755 | Accuracy 0.9755 | ETputs(KTEPS) 730.62\n",
            "Epoch 00670 | Time(s) 1.0667 | Loss 0.0754 | Accuracy 0.9755 | ETputs(KTEPS) 730.63\n",
            "Epoch 00671 | Time(s) 1.0752 | Loss 0.0752 | Accuracy 0.9755 | ETputs(KTEPS) 730.63\n",
            "Epoch 00672 | Time(s) 1.0606 | Loss 0.0751 | Accuracy 0.9756 | ETputs(KTEPS) 730.65\n",
            "Epoch 00673 | Time(s) 1.0697 | Loss 0.0750 | Accuracy 0.9756 | ETputs(KTEPS) 730.66\n",
            "Epoch 00674 | Time(s) 1.0576 | Loss 0.0748 | Accuracy 0.9757 | ETputs(KTEPS) 730.68\n",
            "Epoch 00675 | Time(s) 1.1370 | Loss 0.0747 | Accuracy 0.9757 | ETputs(KTEPS) 730.62\n",
            "Epoch 00676 | Time(s) 1.0702 | Loss 0.0746 | Accuracy 0.9757 | ETputs(KTEPS) 730.63\n",
            "Epoch 00677 | Time(s) 1.0761 | Loss 0.0744 | Accuracy 0.9758 | ETputs(KTEPS) 730.63\n",
            "Epoch 00678 | Time(s) 1.0740 | Loss 0.0743 | Accuracy 0.9758 | ETputs(KTEPS) 730.63\n",
            "Epoch 00679 | Time(s) 1.0682 | Loss 0.0742 | Accuracy 0.9758 | ETputs(KTEPS) 730.64\n",
            "Epoch 00680 | Time(s) 1.0721 | Loss 0.0740 | Accuracy 0.9759 | ETputs(KTEPS) 730.64\n",
            "Epoch 00681 | Time(s) 1.0796 | Loss 0.0739 | Accuracy 0.9759 | ETputs(KTEPS) 730.64\n",
            "Epoch 00682 | Time(s) 1.0740 | Loss 0.0738 | Accuracy 0.9759 | ETputs(KTEPS) 730.65\n",
            "Epoch 00683 | Time(s) 1.0876 | Loss 0.0737 | Accuracy 0.9759 | ETputs(KTEPS) 730.63\n",
            "Epoch 00684 | Time(s) 1.0738 | Loss 0.0735 | Accuracy 0.9760 | ETputs(KTEPS) 730.64\n",
            "Epoch 00685 | Time(s) 1.0705 | Loss 0.0734 | Accuracy 0.9760 | ETputs(KTEPS) 730.65\n",
            "Epoch 00686 | Time(s) 1.0877 | Loss 0.0733 | Accuracy 0.9761 | ETputs(KTEPS) 730.63\n",
            "Epoch 00687 | Time(s) 1.0716 | Loss 0.0731 | Accuracy 0.9761 | ETputs(KTEPS) 730.64\n",
            "Epoch 00688 | Time(s) 1.0524 | Loss 0.0730 | Accuracy 0.9761 | ETputs(KTEPS) 730.66\n",
            "Epoch 00689 | Time(s) 1.0881 | Loss 0.0729 | Accuracy 0.9762 | ETputs(KTEPS) 730.65\n",
            "Epoch 00690 | Time(s) 1.0927 | Loss 0.0727 | Accuracy 0.9762 | ETputs(KTEPS) 730.64\n",
            "Epoch 00691 | Time(s) 1.0488 | Loss 0.0726 | Accuracy 0.9762 | ETputs(KTEPS) 730.67\n",
            "Epoch 00692 | Time(s) 1.0713 | Loss 0.0725 | Accuracy 0.9763 | ETputs(KTEPS) 730.67\n",
            "Epoch 00693 | Time(s) 1.0688 | Loss 0.0724 | Accuracy 0.9763 | ETputs(KTEPS) 730.68\n",
            "Epoch 00694 | Time(s) 1.0587 | Loss 0.0722 | Accuracy 0.9763 | ETputs(KTEPS) 730.70\n",
            "Epoch 00695 | Time(s) 1.0715 | Loss 0.0721 | Accuracy 0.9764 | ETputs(KTEPS) 730.70\n",
            "Epoch 00696 | Time(s) 1.0713 | Loss 0.0720 | Accuracy 0.9764 | ETputs(KTEPS) 730.71\n",
            "Epoch 00697 | Time(s) 1.0795 | Loss 0.0718 | Accuracy 0.9764 | ETputs(KTEPS) 730.71\n",
            "Epoch 00698 | Time(s) 1.1411 | Loss 0.0717 | Accuracy 0.9765 | ETputs(KTEPS) 730.65\n",
            "Epoch 00699 | Time(s) 1.0522 | Loss 0.0716 | Accuracy 0.9766 | ETputs(KTEPS) 730.67\n",
            "Epoch 00700 | Time(s) 1.0683 | Loss 0.0715 | Accuracy 0.9767 | ETputs(KTEPS) 730.68\n",
            "Epoch 00701 | Time(s) 1.0607 | Loss 0.0714 | Accuracy 0.9767 | ETputs(KTEPS) 730.69\n",
            "Epoch 00702 | Time(s) 1.0790 | Loss 0.0712 | Accuracy 0.9768 | ETputs(KTEPS) 730.69\n",
            "Epoch 00703 | Time(s) 1.0693 | Loss 0.0711 | Accuracy 0.9769 | ETputs(KTEPS) 730.70\n",
            "Epoch 00704 | Time(s) 1.0617 | Loss 0.0710 | Accuracy 0.9769 | ETputs(KTEPS) 730.72\n",
            "Epoch 00705 | Time(s) 1.0754 | Loss 0.0709 | Accuracy 0.9769 | ETputs(KTEPS) 730.72\n",
            "Epoch 00706 | Time(s) 1.0648 | Loss 0.0708 | Accuracy 0.9770 | ETputs(KTEPS) 730.73\n",
            "Epoch 00707 | Time(s) 1.0721 | Loss 0.0706 | Accuracy 0.9771 | ETputs(KTEPS) 730.73\n",
            "Epoch 00708 | Time(s) 1.0893 | Loss 0.0705 | Accuracy 0.9771 | ETputs(KTEPS) 730.72\n",
            "Epoch 00709 | Time(s) 1.1521 | Loss 0.0704 | Accuracy 0.9771 | ETputs(KTEPS) 730.65\n",
            "Epoch 00710 | Time(s) 1.0699 | Loss 0.0703 | Accuracy 0.9771 | ETputs(KTEPS) 730.66\n",
            "Epoch 00711 | Time(s) 1.0662 | Loss 0.0702 | Accuracy 0.9771 | ETputs(KTEPS) 730.67\n",
            "Epoch 00712 | Time(s) 1.0798 | Loss 0.0701 | Accuracy 0.9772 | ETputs(KTEPS) 730.67\n",
            "Epoch 00713 | Time(s) 1.0548 | Loss 0.0700 | Accuracy 0.9772 | ETputs(KTEPS) 730.69\n",
            "Epoch 00714 | Time(s) 1.0801 | Loss 0.0698 | Accuracy 0.9773 | ETputs(KTEPS) 730.68\n",
            "Epoch 00715 | Time(s) 1.0737 | Loss 0.0697 | Accuracy 0.9772 | ETputs(KTEPS) 730.69\n",
            "Epoch 00716 | Time(s) 1.0851 | Loss 0.0696 | Accuracy 0.9773 | ETputs(KTEPS) 730.68\n",
            "Epoch 00717 | Time(s) 1.0703 | Loss 0.0695 | Accuracy 0.9773 | ETputs(KTEPS) 730.69\n",
            "Epoch 00718 | Time(s) 1.0703 | Loss 0.0694 | Accuracy 0.9774 | ETputs(KTEPS) 730.69\n",
            "Epoch 00719 | Time(s) 1.0651 | Loss 0.0693 | Accuracy 0.9774 | ETputs(KTEPS) 730.70\n",
            "Epoch 00720 | Time(s) 1.0732 | Loss 0.0692 | Accuracy 0.9776 | ETputs(KTEPS) 730.71\n",
            "Epoch 00721 | Time(s) 1.0789 | Loss 0.0691 | Accuracy 0.9774 | ETputs(KTEPS) 730.71\n",
            "Epoch 00722 | Time(s) 1.0788 | Loss 0.0690 | Accuracy 0.9777 | ETputs(KTEPS) 730.71\n",
            "Epoch 00723 | Time(s) 1.0659 | Loss 0.0689 | Accuracy 0.9771 | ETputs(KTEPS) 730.72\n",
            "Epoch 00724 | Time(s) 1.1410 | Loss 0.0689 | Accuracy 0.9779 | ETputs(KTEPS) 730.66\n",
            "Epoch 00725 | Time(s) 1.0771 | Loss 0.0691 | Accuracy 0.9765 | ETputs(KTEPS) 730.66\n",
            "Epoch 00726 | Time(s) 1.0786 | Loss 0.0699 | Accuracy 0.9770 | ETputs(KTEPS) 730.66\n",
            "Epoch 00727 | Time(s) 1.0727 | Loss 0.0717 | Accuracy 0.9722 | ETputs(KTEPS) 730.66\n",
            "Epoch 00728 | Time(s) 1.0663 | Loss 0.0777 | Accuracy 0.9705 | ETputs(KTEPS) 730.67\n",
            "Epoch 00729 | Time(s) 1.0603 | Loss 0.0893 | Accuracy 0.9485 | ETputs(KTEPS) 730.69\n",
            "Epoch 00730 | Time(s) 1.0861 | Loss 0.1402 | Accuracy 0.9081 | ETputs(KTEPS) 730.68\n",
            "Epoch 00731 | Time(s) 1.0701 | Loss 0.2374 | Accuracy 0.8986 | ETputs(KTEPS) 730.68\n",
            "Epoch 00732 | Time(s) 1.0637 | Loss 0.4019 | Accuracy 0.9313 | ETputs(KTEPS) 730.70\n",
            "Epoch 00733 | Time(s) 1.0706 | Loss 0.2102 | Accuracy 0.8933 | ETputs(KTEPS) 730.70\n",
            "Epoch 00734 | Time(s) 1.0753 | Loss 0.3282 | Accuracy 0.9503 | ETputs(KTEPS) 730.70\n",
            "Epoch 00735 | Time(s) 1.1475 | Loss 0.1600 | Accuracy 0.9143 | ETputs(KTEPS) 730.64\n",
            "Epoch 00736 | Time(s) 1.0690 | Loss 0.2617 | Accuracy 0.9286 | ETputs(KTEPS) 730.65\n",
            "Epoch 00737 | Time(s) 1.0773 | Loss 0.1703 | Accuracy 0.9021 | ETputs(KTEPS) 730.65\n",
            "Epoch 00738 | Time(s) 1.0757 | Loss 0.2363 | Accuracy 0.9295 | ETputs(KTEPS) 730.65\n",
            "Epoch 00739 | Time(s) 1.0903 | Loss 0.1754 | Accuracy 0.9385 | ETputs(KTEPS) 730.64\n",
            "Epoch 00740 | Time(s) 1.0793 | Loss 0.1630 | Accuracy 0.9367 | ETputs(KTEPS) 730.63\n",
            "Epoch 00741 | Time(s) 1.0796 | Loss 0.1872 | Accuracy 0.9458 | ETputs(KTEPS) 730.63\n",
            "Epoch 00742 | Time(s) 1.0864 | Loss 0.1480 | Accuracy 0.9378 | ETputs(KTEPS) 730.62\n",
            "Epoch 00743 | Time(s) 1.0766 | Loss 0.1546 | Accuracy 0.9312 | ETputs(KTEPS) 730.62\n",
            "Epoch 00744 | Time(s) 1.0747 | Loss 0.1701 | Accuracy 0.9397 | ETputs(KTEPS) 730.63\n",
            "Epoch 00745 | Time(s) 1.0786 | Loss 0.1480 | Accuracy 0.9447 | ETputs(KTEPS) 730.63\n",
            "Epoch 00746 | Time(s) 1.0744 | Loss 0.1447 | Accuracy 0.9497 | ETputs(KTEPS) 730.63\n",
            "Epoch 00747 | Time(s) 1.0773 | Loss 0.1447 | Accuracy 0.9551 | ETputs(KTEPS) 730.63\n",
            "Epoch 00748 | Time(s) 1.0656 | Loss 0.1306 | Accuracy 0.9559 | ETputs(KTEPS) 730.64\n",
            "Epoch 00749 | Time(s) 1.0779 | Loss 0.1290 | Accuracy 0.9519 | ETputs(KTEPS) 730.64\n",
            "Epoch 00750 | Time(s) 1.0780 | Loss 0.1389 | Accuracy 0.9537 | ETputs(KTEPS) 730.64\n",
            "Epoch 00751 | Time(s) 1.0852 | Loss 0.1321 | Accuracy 0.9589 | ETputs(KTEPS) 730.63\n",
            "Epoch 00752 | Time(s) 1.0768 | Loss 0.1213 | Accuracy 0.9564 | ETputs(KTEPS) 730.63\n",
            "Epoch 00753 | Time(s) 1.0745 | Loss 0.1222 | Accuracy 0.9553 | ETputs(KTEPS) 730.63\n",
            "Epoch 00754 | Time(s) 1.0685 | Loss 0.1232 | Accuracy 0.9573 | ETputs(KTEPS) 730.64\n",
            "Epoch 00755 | Time(s) 1.0699 | Loss 0.1184 | Accuracy 0.9620 | ETputs(KTEPS) 730.65\n",
            "Epoch 00756 | Time(s) 1.0789 | Loss 0.1141 | Accuracy 0.9595 | ETputs(KTEPS) 730.65\n",
            "Epoch 00757 | Time(s) 1.0770 | Loss 0.1158 | Accuracy 0.9596 | ETputs(KTEPS) 730.65\n",
            "Epoch 00758 | Time(s) 1.1408 | Loss 0.1152 | Accuracy 0.9627 | ETputs(KTEPS) 730.59\n",
            "Epoch 00759 | Time(s) 1.0644 | Loss 0.1117 | Accuracy 0.9610 | ETputs(KTEPS) 730.60\n",
            "Epoch 00760 | Time(s) 1.0474 | Loss 0.1129 | Accuracy 0.9603 | ETputs(KTEPS) 730.63\n",
            "Epoch 00761 | Time(s) 1.0766 | Loss 0.1132 | Accuracy 0.9621 | ETputs(KTEPS) 730.63\n",
            "Epoch 00762 | Time(s) 1.0766 | Loss 0.1086 | Accuracy 0.9630 | ETputs(KTEPS) 730.63\n",
            "Epoch 00763 | Time(s) 1.0544 | Loss 0.1071 | Accuracy 0.9635 | ETputs(KTEPS) 730.65\n",
            "Epoch 00764 | Time(s) 1.0764 | Loss 0.1089 | Accuracy 0.9637 | ETputs(KTEPS) 730.65\n",
            "Epoch 00765 | Time(s) 1.0863 | Loss 0.1073 | Accuracy 0.9633 | ETputs(KTEPS) 730.64\n",
            "Epoch 00766 | Time(s) 1.0692 | Loss 0.1052 | Accuracy 0.9622 | ETputs(KTEPS) 730.65\n",
            "Epoch 00767 | Time(s) 1.0733 | Loss 0.1059 | Accuracy 0.9629 | ETputs(KTEPS) 730.65\n",
            "Epoch 00768 | Time(s) 1.0675 | Loss 0.1051 | Accuracy 0.9649 | ETputs(KTEPS) 730.66\n",
            "Epoch 00769 | Time(s) 1.1493 | Loss 0.1032 | Accuracy 0.9656 | ETputs(KTEPS) 730.60\n",
            "Epoch 00770 | Time(s) 1.0741 | Loss 0.1034 | Accuracy 0.9660 | ETputs(KTEPS) 730.60\n",
            "Epoch 00771 | Time(s) 1.0749 | Loss 0.1030 | Accuracy 0.9659 | ETputs(KTEPS) 730.60\n",
            "Epoch 00772 | Time(s) 1.0514 | Loss 0.1010 | Accuracy 0.9649 | ETputs(KTEPS) 730.63\n",
            "Epoch 00773 | Time(s) 1.0731 | Loss 0.1007 | Accuracy 0.9644 | ETputs(KTEPS) 730.63\n",
            "Epoch 00774 | Time(s) 1.0744 | Loss 0.1009 | Accuracy 0.9655 | ETputs(KTEPS) 730.63\n",
            "Epoch 00775 | Time(s) 1.0639 | Loss 0.0998 | Accuracy 0.9666 | ETputs(KTEPS) 730.65\n",
            "Epoch 00776 | Time(s) 1.0901 | Loss 0.0992 | Accuracy 0.9674 | ETputs(KTEPS) 730.63\n",
            "Epoch 00777 | Time(s) 1.0626 | Loss 0.0990 | Accuracy 0.9673 | ETputs(KTEPS) 730.65\n",
            "Epoch 00778 | Time(s) 1.0575 | Loss 0.0978 | Accuracy 0.9668 | ETputs(KTEPS) 730.66\n",
            "Epoch 00779 | Time(s) 1.0656 | Loss 0.0975 | Accuracy 0.9665 | ETputs(KTEPS) 730.67\n",
            "Epoch 00780 | Time(s) 1.0555 | Loss 0.0974 | Accuracy 0.9670 | ETputs(KTEPS) 730.69\n",
            "Epoch 00781 | Time(s) 1.0741 | Loss 0.0965 | Accuracy 0.9672 | ETputs(KTEPS) 730.70\n",
            "Epoch 00782 | Time(s) 1.0784 | Loss 0.0960 | Accuracy 0.9673 | ETputs(KTEPS) 730.69\n",
            "Epoch 00783 | Time(s) 1.0804 | Loss 0.0958 | Accuracy 0.9674 | ETputs(KTEPS) 730.69\n",
            "Epoch 00784 | Time(s) 1.1323 | Loss 0.0950 | Accuracy 0.9674 | ETputs(KTEPS) 730.64\n",
            "Epoch 00785 | Time(s) 1.0672 | Loss 0.0947 | Accuracy 0.9676 | ETputs(KTEPS) 730.65\n",
            "Epoch 00786 | Time(s) 1.0633 | Loss 0.0944 | Accuracy 0.9680 | ETputs(KTEPS) 730.66\n",
            "Epoch 00787 | Time(s) 1.0763 | Loss 0.0937 | Accuracy 0.9686 | ETputs(KTEPS) 730.67\n",
            "Epoch 00788 | Time(s) 1.0724 | Loss 0.0935 | Accuracy 0.9686 | ETputs(KTEPS) 730.67\n",
            "Epoch 00789 | Time(s) 1.0748 | Loss 0.0931 | Accuracy 0.9684 | ETputs(KTEPS) 730.67\n",
            "Epoch 00790 | Time(s) 1.0666 | Loss 0.0927 | Accuracy 0.9684 | ETputs(KTEPS) 730.68\n",
            "Epoch 00791 | Time(s) 1.0738 | Loss 0.0925 | Accuracy 0.9687 | ETputs(KTEPS) 730.68\n",
            "Epoch 00792 | Time(s) 1.0788 | Loss 0.0920 | Accuracy 0.9691 | ETputs(KTEPS) 730.68\n",
            "Epoch 00793 | Time(s) 1.0765 | Loss 0.0917 | Accuracy 0.9693 | ETputs(KTEPS) 730.68\n",
            "Epoch 00794 | Time(s) 1.0730 | Loss 0.0914 | Accuracy 0.9693 | ETputs(KTEPS) 730.69\n",
            "Epoch 00795 | Time(s) 1.1422 | Loss 0.0910 | Accuracy 0.9690 | ETputs(KTEPS) 730.63\n",
            "Epoch 00796 | Time(s) 1.0556 | Loss 0.0908 | Accuracy 0.9693 | ETputs(KTEPS) 730.65\n",
            "Epoch 00797 | Time(s) 1.0640 | Loss 0.0904 | Accuracy 0.9696 | ETputs(KTEPS) 730.66\n",
            "Epoch 00798 | Time(s) 1.0683 | Loss 0.0901 | Accuracy 0.9697 | ETputs(KTEPS) 730.67\n",
            "Epoch 00799 | Time(s) 1.0664 | Loss 0.0899 | Accuracy 0.9695 | ETputs(KTEPS) 730.68\n",
            "Epoch 00800 | Time(s) 1.0466 | Loss 0.0895 | Accuracy 0.9695 | ETputs(KTEPS) 730.70\n",
            "Epoch 00801 | Time(s) 1.0950 | Loss 0.0893 | Accuracy 0.9696 | ETputs(KTEPS) 730.69\n",
            "Epoch 00802 | Time(s) 1.0602 | Loss 0.0890 | Accuracy 0.9700 | ETputs(KTEPS) 730.70\n",
            "Epoch 00803 | Time(s) 1.0677 | Loss 0.0888 | Accuracy 0.9701 | ETputs(KTEPS) 730.71\n",
            "Epoch 00804 | Time(s) 1.0593 | Loss 0.0885 | Accuracy 0.9699 | ETputs(KTEPS) 730.73\n",
            "Epoch 00805 | Time(s) 1.0690 | Loss 0.0882 | Accuracy 0.9699 | ETputs(KTEPS) 730.73\n",
            "Epoch 00806 | Time(s) 1.0684 | Loss 0.0880 | Accuracy 0.9700 | ETputs(KTEPS) 730.74\n",
            "Epoch 00807 | Time(s) 1.0808 | Loss 0.0877 | Accuracy 0.9703 | ETputs(KTEPS) 730.74\n",
            "Epoch 00808 | Time(s) 1.0741 | Loss 0.0875 | Accuracy 0.9703 | ETputs(KTEPS) 730.74\n",
            "Epoch 00809 | Time(s) 1.0662 | Loss 0.0873 | Accuracy 0.9703 | ETputs(KTEPS) 730.75\n",
            "Epoch 00810 | Time(s) 1.0699 | Loss 0.0871 | Accuracy 0.9704 | ETputs(KTEPS) 730.76\n",
            "Epoch 00811 | Time(s) 1.0686 | Loss 0.0868 | Accuracy 0.9707 | ETputs(KTEPS) 730.76\n",
            "Epoch 00812 | Time(s) 1.0635 | Loss 0.0866 | Accuracy 0.9707 | ETputs(KTEPS) 730.77\n",
            "Epoch 00813 | Time(s) 1.0781 | Loss 0.0864 | Accuracy 0.9708 | ETputs(KTEPS) 730.77\n",
            "Epoch 00814 | Time(s) 1.0730 | Loss 0.0862 | Accuracy 0.9707 | ETputs(KTEPS) 730.78\n",
            "Epoch 00815 | Time(s) 1.0681 | Loss 0.0860 | Accuracy 0.9709 | ETputs(KTEPS) 730.78\n",
            "Epoch 00816 | Time(s) 1.0661 | Loss 0.0858 | Accuracy 0.9711 | ETputs(KTEPS) 730.79\n",
            "Epoch 00817 | Time(s) 1.0729 | Loss 0.0856 | Accuracy 0.9711 | ETputs(KTEPS) 730.80\n",
            "Epoch 00818 | Time(s) 1.1335 | Loss 0.0854 | Accuracy 0.9711 | ETputs(KTEPS) 730.75\n",
            "Epoch 00819 | Time(s) 1.0871 | Loss 0.0852 | Accuracy 0.9711 | ETputs(KTEPS) 730.74\n",
            "Epoch 00820 | Time(s) 1.0597 | Loss 0.0850 | Accuracy 0.9712 | ETputs(KTEPS) 730.76\n",
            "Epoch 00821 | Time(s) 1.0668 | Loss 0.0848 | Accuracy 0.9712 | ETputs(KTEPS) 730.76\n",
            "Epoch 00822 | Time(s) 1.0599 | Loss 0.0846 | Accuracy 0.9712 | ETputs(KTEPS) 730.78\n",
            "Epoch 00823 | Time(s) 1.0450 | Loss 0.0845 | Accuracy 0.9712 | ETputs(KTEPS) 730.80\n",
            "Epoch 00824 | Time(s) 1.0691 | Loss 0.0843 | Accuracy 0.9713 | ETputs(KTEPS) 730.81\n",
            "Epoch 00825 | Time(s) 1.0535 | Loss 0.0841 | Accuracy 0.9714 | ETputs(KTEPS) 730.83\n",
            "Epoch 00826 | Time(s) 1.0725 | Loss 0.0839 | Accuracy 0.9715 | ETputs(KTEPS) 730.83\n",
            "Epoch 00827 | Time(s) 1.0701 | Loss 0.0837 | Accuracy 0.9714 | ETputs(KTEPS) 730.84\n",
            "Epoch 00828 | Time(s) 1.0622 | Loss 0.0836 | Accuracy 0.9716 | ETputs(KTEPS) 730.85\n",
            "Epoch 00829 | Time(s) 1.1302 | Loss 0.0834 | Accuracy 0.9716 | ETputs(KTEPS) 730.81\n",
            "Epoch 00830 | Time(s) 1.0502 | Loss 0.0832 | Accuracy 0.9716 | ETputs(KTEPS) 730.83\n",
            "Epoch 00831 | Time(s) 1.0666 | Loss 0.0830 | Accuracy 0.9718 | ETputs(KTEPS) 730.84\n",
            "Epoch 00832 | Time(s) 1.0816 | Loss 0.0829 | Accuracy 0.9719 | ETputs(KTEPS) 730.84\n",
            "Epoch 00833 | Time(s) 1.0853 | Loss 0.0827 | Accuracy 0.9719 | ETputs(KTEPS) 730.83\n",
            "Epoch 00834 | Time(s) 1.0712 | Loss 0.0825 | Accuracy 0.9719 | ETputs(KTEPS) 730.83\n",
            "Epoch 00835 | Time(s) 1.0670 | Loss 0.0824 | Accuracy 0.9719 | ETputs(KTEPS) 730.84\n",
            "Epoch 00836 | Time(s) 1.0766 | Loss 0.0821 | Accuracy 0.9721 | ETputs(KTEPS) 730.84\n",
            "Epoch 00837 | Time(s) 1.0762 | Loss 0.0819 | Accuracy 0.9723 | ETputs(KTEPS) 730.84\n",
            "Epoch 00838 | Time(s) 1.0862 | Loss 0.0817 | Accuracy 0.9726 | ETputs(KTEPS) 730.83\n",
            "Epoch 00839 | Time(s) 1.0764 | Loss 0.0815 | Accuracy 0.9728 | ETputs(KTEPS) 730.84\n",
            "Epoch 00840 | Time(s) 1.0654 | Loss 0.0812 | Accuracy 0.9730 | ETputs(KTEPS) 730.84\n",
            "Epoch 00841 | Time(s) 1.0773 | Loss 0.0810 | Accuracy 0.9729 | ETputs(KTEPS) 730.84\n",
            "Epoch 00842 | Time(s) 1.0756 | Loss 0.0808 | Accuracy 0.9730 | ETputs(KTEPS) 730.85\n",
            "Epoch 00843 | Time(s) 1.0681 | Loss 0.0807 | Accuracy 0.9730 | ETputs(KTEPS) 730.85\n",
            "Epoch 00844 | Time(s) 1.1371 | Loss 0.0805 | Accuracy 0.9731 | ETputs(KTEPS) 730.80\n",
            "Epoch 00845 | Time(s) 1.0694 | Loss 0.0803 | Accuracy 0.9731 | ETputs(KTEPS) 730.81\n",
            "Epoch 00846 | Time(s) 1.0694 | Loss 0.0802 | Accuracy 0.9731 | ETputs(KTEPS) 730.82\n",
            "Epoch 00847 | Time(s) 1.1029 | Loss 0.0800 | Accuracy 0.9732 | ETputs(KTEPS) 730.80\n",
            "Epoch 00848 | Time(s) 1.0682 | Loss 0.0799 | Accuracy 0.9732 | ETputs(KTEPS) 730.80\n",
            "Epoch 00849 | Time(s) 1.0678 | Loss 0.0797 | Accuracy 0.9733 | ETputs(KTEPS) 730.81\n",
            "Epoch 00850 | Time(s) 1.0681 | Loss 0.0796 | Accuracy 0.9733 | ETputs(KTEPS) 730.82\n",
            "Epoch 00851 | Time(s) 1.0823 | Loss 0.0794 | Accuracy 0.9732 | ETputs(KTEPS) 730.81\n",
            "Epoch 00852 | Time(s) 1.0509 | Loss 0.0793 | Accuracy 0.9733 | ETputs(KTEPS) 730.83\n",
            "Epoch 00853 | Time(s) 1.0718 | Loss 0.0791 | Accuracy 0.9734 | ETputs(KTEPS) 730.84\n",
            "Epoch 00854 | Time(s) 1.0681 | Loss 0.0790 | Accuracy 0.9735 | ETputs(KTEPS) 730.85\n",
            "Epoch 00855 | Time(s) 1.1432 | Loss 0.0788 | Accuracy 0.9735 | ETputs(KTEPS) 730.79\n",
            "Epoch 00856 | Time(s) 1.0719 | Loss 0.0787 | Accuracy 0.9737 | ETputs(KTEPS) 730.80\n",
            "Epoch 00857 | Time(s) 1.0729 | Loss 0.0785 | Accuracy 0.9737 | ETputs(KTEPS) 730.80\n",
            "Epoch 00858 | Time(s) 1.0574 | Loss 0.0784 | Accuracy 0.9737 | ETputs(KTEPS) 730.82\n",
            "Epoch 00859 | Time(s) 1.0666 | Loss 0.0782 | Accuracy 0.9738 | ETputs(KTEPS) 730.82\n",
            "Epoch 00860 | Time(s) 1.0702 | Loss 0.0781 | Accuracy 0.9738 | ETputs(KTEPS) 730.83\n",
            "Epoch 00861 | Time(s) 1.0692 | Loss 0.0779 | Accuracy 0.9738 | ETputs(KTEPS) 730.84\n",
            "Epoch 00862 | Time(s) 1.0583 | Loss 0.0778 | Accuracy 0.9739 | ETputs(KTEPS) 730.85\n",
            "Epoch 00863 | Time(s) 1.0671 | Loss 0.0776 | Accuracy 0.9739 | ETputs(KTEPS) 730.86\n",
            "Epoch 00864 | Time(s) 1.0723 | Loss 0.0775 | Accuracy 0.9740 | ETputs(KTEPS) 730.86\n",
            "Epoch 00865 | Time(s) 1.0683 | Loss 0.0773 | Accuracy 0.9739 | ETputs(KTEPS) 730.87\n",
            "Epoch 00866 | Time(s) 1.0805 | Loss 0.0772 | Accuracy 0.9740 | ETputs(KTEPS) 730.87\n",
            "Epoch 00867 | Time(s) 1.0589 | Loss 0.0770 | Accuracy 0.9741 | ETputs(KTEPS) 730.88\n",
            "Epoch 00868 | Time(s) 1.0584 | Loss 0.0769 | Accuracy 0.9742 | ETputs(KTEPS) 730.89\n",
            "Epoch 00869 | Time(s) 1.0764 | Loss 0.0767 | Accuracy 0.9742 | ETputs(KTEPS) 730.89\n",
            "Epoch 00870 | Time(s) 1.0710 | Loss 0.0765 | Accuracy 0.9742 | ETputs(KTEPS) 730.90\n",
            "Epoch 00871 | Time(s) 1.0731 | Loss 0.0764 | Accuracy 0.9743 | ETputs(KTEPS) 730.90\n",
            "Epoch 00872 | Time(s) 1.0662 | Loss 0.0762 | Accuracy 0.9743 | ETputs(KTEPS) 730.91\n",
            "Epoch 00873 | Time(s) 1.0656 | Loss 0.0761 | Accuracy 0.9743 | ETputs(KTEPS) 730.92\n",
            "Epoch 00874 | Time(s) 1.0662 | Loss 0.0759 | Accuracy 0.9743 | ETputs(KTEPS) 730.93\n",
            "Epoch 00875 | Time(s) 1.0734 | Loss 0.0757 | Accuracy 0.9744 | ETputs(KTEPS) 730.93\n",
            "Epoch 00876 | Time(s) 1.0782 | Loss 0.0756 | Accuracy 0.9744 | ETputs(KTEPS) 730.93\n",
            "Epoch 00877 | Time(s) 1.0712 | Loss 0.0754 | Accuracy 0.9745 | ETputs(KTEPS) 730.93\n",
            "Epoch 00878 | Time(s) 1.1402 | Loss 0.0753 | Accuracy 0.9745 | ETputs(KTEPS) 730.88\n",
            "Epoch 00879 | Time(s) 1.0633 | Loss 0.0752 | Accuracy 0.9746 | ETputs(KTEPS) 730.89\n",
            "Epoch 00880 | Time(s) 1.0728 | Loss 0.0751 | Accuracy 0.9747 | ETputs(KTEPS) 730.90\n",
            "Epoch 00881 | Time(s) 1.0663 | Loss 0.0749 | Accuracy 0.9747 | ETputs(KTEPS) 730.91\n",
            "Epoch 00882 | Time(s) 1.0802 | Loss 0.0748 | Accuracy 0.9747 | ETputs(KTEPS) 730.90\n",
            "Epoch 00883 | Time(s) 1.0777 | Loss 0.0747 | Accuracy 0.9748 | ETputs(KTEPS) 730.90\n",
            "Epoch 00884 | Time(s) 1.0599 | Loss 0.0746 | Accuracy 0.9749 | ETputs(KTEPS) 730.92\n",
            "Epoch 00885 | Time(s) 1.0698 | Loss 0.0745 | Accuracy 0.9749 | ETputs(KTEPS) 730.92\n",
            "Epoch 00886 | Time(s) 1.0779 | Loss 0.0744 | Accuracy 0.9750 | ETputs(KTEPS) 730.92\n",
            "Epoch 00887 | Time(s) 1.0659 | Loss 0.0743 | Accuracy 0.9750 | ETputs(KTEPS) 730.93\n",
            "Epoch 00888 | Time(s) 1.0779 | Loss 0.0741 | Accuracy 0.9750 | ETputs(KTEPS) 730.93\n",
            "Epoch 00889 | Time(s) 1.1516 | Loss 0.0740 | Accuracy 0.9750 | ETputs(KTEPS) 730.87\n",
            "Epoch 00890 | Time(s) 1.0674 | Loss 0.0739 | Accuracy 0.9750 | ETputs(KTEPS) 730.88\n",
            "Epoch 00891 | Time(s) 1.0666 | Loss 0.0738 | Accuracy 0.9751 | ETputs(KTEPS) 730.89\n",
            "Epoch 00892 | Time(s) 1.0682 | Loss 0.0737 | Accuracy 0.9751 | ETputs(KTEPS) 730.89\n",
            "Epoch 00893 | Time(s) 1.0715 | Loss 0.0736 | Accuracy 0.9751 | ETputs(KTEPS) 730.90\n",
            "Epoch 00894 | Time(s) 1.0793 | Loss 0.0735 | Accuracy 0.9751 | ETputs(KTEPS) 730.90\n",
            "Epoch 00895 | Time(s) 1.0612 | Loss 0.0734 | Accuracy 0.9752 | ETputs(KTEPS) 730.91\n",
            "Epoch 00896 | Time(s) 1.0745 | Loss 0.0733 | Accuracy 0.9753 | ETputs(KTEPS) 730.91\n",
            "Epoch 00897 | Time(s) 1.0674 | Loss 0.0732 | Accuracy 0.9753 | ETputs(KTEPS) 730.92\n",
            "Epoch 00898 | Time(s) 1.0765 | Loss 0.0731 | Accuracy 0.9753 | ETputs(KTEPS) 730.92\n",
            "Epoch 00899 | Time(s) 1.0819 | Loss 0.0730 | Accuracy 0.9753 | ETputs(KTEPS) 730.91\n",
            "Epoch 00900 | Time(s) 1.0751 | Loss 0.0729 | Accuracy 0.9753 | ETputs(KTEPS) 730.91\n",
            "Epoch 00901 | Time(s) 1.0663 | Loss 0.0728 | Accuracy 0.9755 | ETputs(KTEPS) 730.92\n",
            "Epoch 00902 | Time(s) 1.0652 | Loss 0.0727 | Accuracy 0.9752 | ETputs(KTEPS) 730.93\n",
            "Epoch 00903 | Time(s) 1.0654 | Loss 0.0727 | Accuracy 0.9757 | ETputs(KTEPS) 730.94\n",
            "Epoch 00904 | Time(s) 1.1220 | Loss 0.0728 | Accuracy 0.9746 | ETputs(KTEPS) 730.91\n",
            "Epoch 00905 | Time(s) 1.0798 | Loss 0.0734 | Accuracy 0.9750 | ETputs(KTEPS) 730.90\n",
            "Epoch 00906 | Time(s) 1.0537 | Loss 0.0752 | Accuracy 0.9709 | ETputs(KTEPS) 730.92\n",
            "Epoch 00907 | Time(s) 1.0855 | Loss 0.0806 | Accuracy 0.9654 | ETputs(KTEPS) 730.91\n",
            "Epoch 00908 | Time(s) 1.0763 | Loss 0.0993 | Accuracy 0.9401 | ETputs(KTEPS) 730.91\n",
            "Epoch 00909 | Time(s) 1.0729 | Loss 0.1760 | Accuracy 0.8546 | ETputs(KTEPS) 730.92\n",
            "Epoch 00910 | Time(s) 1.0576 | Loss 0.3926 | Accuracy 0.8032 | ETputs(KTEPS) 730.93\n",
            "Epoch 00911 | Time(s) 1.0658 | Loss 0.6894 | Accuracy 0.9293 | ETputs(KTEPS) 730.94\n",
            "Epoch 00912 | Time(s) 1.0757 | Loss 0.1870 | Accuracy 0.8296 | ETputs(KTEPS) 730.94\n",
            "Epoch 00913 | Time(s) 1.0763 | Loss 0.3956 | Accuracy 0.8756 | ETputs(KTEPS) 730.94\n",
            "Epoch 00914 | Time(s) 1.0830 | Loss 0.3226 | Accuracy 0.8967 | ETputs(KTEPS) 730.94\n",
            "Epoch 00915 | Time(s) 1.1396 | Loss 0.3172 | Accuracy 0.9075 | ETputs(KTEPS) 730.89\n",
            "Epoch 00916 | Time(s) 1.0649 | Loss 0.3055 | Accuracy 0.9159 | ETputs(KTEPS) 730.90\n",
            "Epoch 00917 | Time(s) 1.0712 | Loss 0.2335 | Accuracy 0.9069 | ETputs(KTEPS) 730.90\n",
            "Epoch 00918 | Time(s) 1.0577 | Loss 0.2294 | Accuracy 0.8986 | ETputs(KTEPS) 730.92\n",
            "Epoch 00919 | Time(s) 1.0861 | Loss 0.2348 | Accuracy 0.9025 | ETputs(KTEPS) 730.91\n",
            "Epoch 00920 | Time(s) 1.0947 | Loss 0.2283 | Accuracy 0.9194 | ETputs(KTEPS) 730.90\n",
            "Epoch 00921 | Time(s) 1.0851 | Loss 0.2167 | Accuracy 0.9221 | ETputs(KTEPS) 730.89\n",
            "Epoch 00922 | Time(s) 1.0840 | Loss 0.2086 | Accuracy 0.9230 | ETputs(KTEPS) 730.89\n",
            "Epoch 00923 | Time(s) 1.0738 | Loss 0.2052 | Accuracy 0.9191 | ETputs(KTEPS) 730.89\n",
            "Epoch 00924 | Time(s) 1.0666 | Loss 0.2050 | Accuracy 0.9171 | ETputs(KTEPS) 730.90\n",
            "Epoch 00925 | Time(s) 1.0845 | Loss 0.2050 | Accuracy 0.9198 | ETputs(KTEPS) 730.89\n",
            "Epoch 00926 | Time(s) 1.0845 | Loss 0.2019 | Accuracy 0.9273 | ETputs(KTEPS) 730.89\n",
            "Epoch 00927 | Time(s) 1.0738 | Loss 0.1947 | Accuracy 0.9298 | ETputs(KTEPS) 730.89\n",
            "Epoch 00928 | Time(s) 1.0702 | Loss 0.1869 | Accuracy 0.9311 | ETputs(KTEPS) 730.89\n",
            "Epoch 00929 | Time(s) 1.0787 | Loss 0.1817 | Accuracy 0.9325 | ETputs(KTEPS) 730.89\n",
            "Epoch 00930 | Time(s) 1.0558 | Loss 0.1790 | Accuracy 0.9338 | ETputs(KTEPS) 730.91\n",
            "Epoch 00931 | Time(s) 1.0776 | Loss 0.1774 | Accuracy 0.9352 | ETputs(KTEPS) 730.91\n",
            "Epoch 00932 | Time(s) 1.0918 | Loss 0.1754 | Accuracy 0.9356 | ETputs(KTEPS) 730.90\n",
            "Epoch 00933 | Time(s) 1.0718 | Loss 0.1729 | Accuracy 0.9361 | ETputs(KTEPS) 730.90\n",
            "Epoch 00934 | Time(s) 1.0689 | Loss 0.1705 | Accuracy 0.9371 | ETputs(KTEPS) 730.90\n",
            "Epoch 00935 | Time(s) 1.0683 | Loss 0.1680 | Accuracy 0.9388 | ETputs(KTEPS) 730.91\n",
            "Epoch 00936 | Time(s) 1.0707 | Loss 0.1651 | Accuracy 0.9413 | ETputs(KTEPS) 730.92\n",
            "Epoch 00937 | Time(s) 1.0711 | Loss 0.1620 | Accuracy 0.9426 | ETputs(KTEPS) 730.92\n",
            "Epoch 00938 | Time(s) 1.1527 | Loss 0.1596 | Accuracy 0.9431 | ETputs(KTEPS) 730.86\n",
            "Epoch 00939 | Time(s) 1.0627 | Loss 0.1582 | Accuracy 0.9432 | ETputs(KTEPS) 730.88\n",
            "Epoch 00940 | Time(s) 1.0586 | Loss 0.1572 | Accuracy 0.9435 | ETputs(KTEPS) 730.89\n",
            "Epoch 00941 | Time(s) 1.0627 | Loss 0.1560 | Accuracy 0.9445 | ETputs(KTEPS) 730.90\n",
            "Epoch 00942 | Time(s) 1.0777 | Loss 0.1542 | Accuracy 0.9454 | ETputs(KTEPS) 730.90\n",
            "Epoch 00943 | Time(s) 1.0679 | Loss 0.1521 | Accuracy 0.9465 | ETputs(KTEPS) 730.90\n",
            "Epoch 00944 | Time(s) 1.0991 | Loss 0.1504 | Accuracy 0.9476 | ETputs(KTEPS) 730.89\n",
            "Epoch 00945 | Time(s) 1.0660 | Loss 0.1489 | Accuracy 0.9482 | ETputs(KTEPS) 730.90\n",
            "Epoch 00946 | Time(s) 1.0674 | Loss 0.1476 | Accuracy 0.9490 | ETputs(KTEPS) 730.90\n",
            "Epoch 00947 | Time(s) 1.0759 | Loss 0.1462 | Accuracy 0.9496 | ETputs(KTEPS) 730.90\n",
            "Epoch 00948 | Time(s) 1.0862 | Loss 0.1448 | Accuracy 0.9501 | ETputs(KTEPS) 730.90\n",
            "Epoch 00949 | Time(s) 1.1484 | Loss 0.1436 | Accuracy 0.9502 | ETputs(KTEPS) 730.85\n",
            "Epoch 00950 | Time(s) 1.1047 | Loss 0.1423 | Accuracy 0.9509 | ETputs(KTEPS) 730.83\n",
            "Epoch 00951 | Time(s) 1.0803 | Loss 0.1409 | Accuracy 0.9513 | ETputs(KTEPS) 730.82\n",
            "Epoch 00952 | Time(s) 1.0624 | Loss 0.1393 | Accuracy 0.9518 | ETputs(KTEPS) 730.83\n",
            "Epoch 00953 | Time(s) 1.0714 | Loss 0.1379 | Accuracy 0.9524 | ETputs(KTEPS) 730.84\n",
            "Epoch 00954 | Time(s) 1.0787 | Loss 0.1368 | Accuracy 0.9527 | ETputs(KTEPS) 730.84\n",
            "Epoch 00955 | Time(s) 1.0643 | Loss 0.1359 | Accuracy 0.9534 | ETputs(KTEPS) 730.85\n",
            "Epoch 00956 | Time(s) 1.1012 | Loss 0.1348 | Accuracy 0.9540 | ETputs(KTEPS) 730.83\n",
            "Epoch 00957 | Time(s) 1.0795 | Loss 0.1336 | Accuracy 0.9544 | ETputs(KTEPS) 730.83\n",
            "Epoch 00958 | Time(s) 1.0750 | Loss 0.1325 | Accuracy 0.9549 | ETputs(KTEPS) 730.83\n",
            "Epoch 00959 | Time(s) 1.0945 | Loss 0.1315 | Accuracy 0.9554 | ETputs(KTEPS) 730.82\n",
            "Epoch 00960 | Time(s) 1.0720 | Loss 0.1305 | Accuracy 0.9559 | ETputs(KTEPS) 730.82\n",
            "Epoch 00961 | Time(s) 1.0711 | Loss 0.1295 | Accuracy 0.9562 | ETputs(KTEPS) 730.82\n",
            "Epoch 00962 | Time(s) 1.0951 | Loss 0.1286 | Accuracy 0.9567 | ETputs(KTEPS) 730.81\n",
            "Epoch 00963 | Time(s) 1.0968 | Loss 0.1279 | Accuracy 0.9570 | ETputs(KTEPS) 730.80\n",
            "Epoch 00964 | Time(s) 1.1508 | Loss 0.1271 | Accuracy 0.9574 | ETputs(KTEPS) 730.75\n",
            "Epoch 00965 | Time(s) 1.0744 | Loss 0.1263 | Accuracy 0.9576 | ETputs(KTEPS) 730.75\n",
            "Epoch 00966 | Time(s) 1.0875 | Loss 0.1255 | Accuracy 0.9577 | ETputs(KTEPS) 730.74\n",
            "Epoch 00967 | Time(s) 1.0757 | Loss 0.1247 | Accuracy 0.9578 | ETputs(KTEPS) 730.74\n",
            "Epoch 00968 | Time(s) 1.0814 | Loss 0.1240 | Accuracy 0.9580 | ETputs(KTEPS) 730.74\n",
            "Epoch 00969 | Time(s) 1.0827 | Loss 0.1233 | Accuracy 0.9583 | ETputs(KTEPS) 730.73\n",
            "Epoch 00970 | Time(s) 1.0670 | Loss 0.1226 | Accuracy 0.9587 | ETputs(KTEPS) 730.74\n",
            "Epoch 00971 | Time(s) 1.0735 | Loss 0.1219 | Accuracy 0.9589 | ETputs(KTEPS) 730.74\n",
            "Epoch 00972 | Time(s) 1.0631 | Loss 0.1213 | Accuracy 0.9591 | ETputs(KTEPS) 730.75\n",
            "Epoch 00973 | Time(s) 1.0689 | Loss 0.1206 | Accuracy 0.9592 | ETputs(KTEPS) 730.76\n",
            "Epoch 00974 | Time(s) 1.0810 | Loss 0.1199 | Accuracy 0.9594 | ETputs(KTEPS) 730.76\n",
            "Epoch 00975 | Time(s) 1.1652 | Loss 0.1193 | Accuracy 0.9598 | ETputs(KTEPS) 730.70\n",
            "Epoch 00976 | Time(s) 1.0730 | Loss 0.1187 | Accuracy 0.9600 | ETputs(KTEPS) 730.70\n",
            "Epoch 00977 | Time(s) 1.0703 | Loss 0.1181 | Accuracy 0.9602 | ETputs(KTEPS) 730.70\n",
            "Epoch 00978 | Time(s) 1.0784 | Loss 0.1175 | Accuracy 0.9605 | ETputs(KTEPS) 730.70\n",
            "Epoch 00979 | Time(s) 1.0685 | Loss 0.1169 | Accuracy 0.9607 | ETputs(KTEPS) 730.71\n",
            "Epoch 00980 | Time(s) 1.0694 | Loss 0.1164 | Accuracy 0.9609 | ETputs(KTEPS) 730.71\n",
            "Epoch 00981 | Time(s) 1.0843 | Loss 0.1158 | Accuracy 0.9611 | ETputs(KTEPS) 730.71\n",
            "Epoch 00982 | Time(s) 1.0737 | Loss 0.1153 | Accuracy 0.9612 | ETputs(KTEPS) 730.71\n",
            "Epoch 00983 | Time(s) 1.0712 | Loss 0.1148 | Accuracy 0.9613 | ETputs(KTEPS) 730.72\n",
            "Epoch 00984 | Time(s) 1.0805 | Loss 0.1143 | Accuracy 0.9615 | ETputs(KTEPS) 730.71\n",
            "Epoch 00985 | Time(s) 1.0984 | Loss 0.1138 | Accuracy 0.9617 | ETputs(KTEPS) 730.70\n",
            "Epoch 00986 | Time(s) 1.0723 | Loss 0.1133 | Accuracy 0.9618 | ETputs(KTEPS) 730.70\n",
            "Epoch 00987 | Time(s) 1.0922 | Loss 0.1129 | Accuracy 0.9620 | ETputs(KTEPS) 730.69\n",
            "Epoch 00988 | Time(s) 1.0672 | Loss 0.1124 | Accuracy 0.9622 | ETputs(KTEPS) 730.70\n",
            "Epoch 00989 | Time(s) 1.0839 | Loss 0.1120 | Accuracy 0.9623 | ETputs(KTEPS) 730.69\n",
            "Epoch 00990 | Time(s) 1.0675 | Loss 0.1115 | Accuracy 0.9624 | ETputs(KTEPS) 730.70\n",
            "Epoch 00991 | Time(s) 1.0622 | Loss 0.1111 | Accuracy 0.9624 | ETputs(KTEPS) 730.71\n",
            "Epoch 00992 | Time(s) 1.0680 | Loss 0.1106 | Accuracy 0.9625 | ETputs(KTEPS) 730.72\n",
            "Epoch 00993 | Time(s) 1.0815 | Loss 0.1102 | Accuracy 0.9626 | ETputs(KTEPS) 730.71\n",
            "Epoch 00994 | Time(s) 1.0767 | Loss 0.1098 | Accuracy 0.9627 | ETputs(KTEPS) 730.71\n",
            "Epoch 00995 | Time(s) 1.0628 | Loss 0.1094 | Accuracy 0.9629 | ETputs(KTEPS) 730.72\n",
            "Epoch 00996 | Time(s) 1.0904 | Loss 0.1090 | Accuracy 0.9630 | ETputs(KTEPS) 730.72\n",
            "Epoch 00997 | Time(s) 1.0752 | Loss 0.1086 | Accuracy 0.9631 | ETputs(KTEPS) 730.72\n",
            "Epoch 00998 | Time(s) 1.1518 | Loss 0.1083 | Accuracy 0.9632 | ETputs(KTEPS) 730.67\n",
            "Epoch 00999 | Time(s) 1.0679 | Loss 0.1079 | Accuracy 0.9634 | ETputs(KTEPS) 730.67\n",
            "Inference time: avg time 1.0772, stdev time 0.0400\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30022 fp 419 tn 47004 fn 1265\n",
            "accuracy 0.9786\n",
            "precision 0.9862\n",
            "recall 0.9596\n",
            "tnr 0.9912\n",
            "tpr 0.9596\n",
            "f1 0.9727\n",
            "acc/pre/rec:  97.86%/98.62%/95.96%\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 3266])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "model load from: ./output/best.model.tmp_model_name\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30343 fp 275 tn 46963 fn 1129\n",
            "accuracy 0.9822\n",
            "precision 0.9910\n",
            "recall 0.9641\n",
            "tnr 0.9942\n",
            "tpr 0.9641\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.22%/99.10%/96.41%\n",
            "time: 0.9005\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29925 fp 276 tn 47362 fn 1147\n",
            "accuracy 0.9819\n",
            "precision 0.9909\n",
            "recall 0.9631\n",
            "tnr 0.9942\n",
            "tpr 0.9631\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.19%/99.09%/96.31%\n",
            "time: 0.8928\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30359 fp 281 tn 46914 fn 1156\n",
            "accuracy 0.9817\n",
            "precision 0.9908\n",
            "recall 0.9633\n",
            "tnr 0.9940\n",
            "tpr 0.9633\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.17%/99.08%/96.33%\n",
            "time: 0.9012\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30391 fp 289 tn 46921 fn 1109\n",
            "accuracy 0.9822\n",
            "precision 0.9906\n",
            "recall 0.9648\n",
            "tnr 0.9939\n",
            "tpr 0.9648\n",
            "f1 0.9775\n",
            "acc/pre/rec:  98.22%/99.06%/96.48%\n",
            "time: 0.8816\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30210 fp 286 tn 47116 fn 1098\n",
            "accuracy 0.9824\n",
            "precision 0.9906\n",
            "recall 0.9649\n",
            "tnr 0.9940\n",
            "tpr 0.9649\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.24%/99.06%/96.49%\n",
            "time: 0.8925\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30161 fp 278 tn 47101 fn 1170\n",
            "accuracy 0.9816\n",
            "precision 0.9909\n",
            "recall 0.9627\n",
            "tnr 0.9941\n",
            "tpr 0.9627\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.16%/99.09%/96.27%\n",
            "time: 0.9079\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30339 fp 286 tn 46918 fn 1167\n",
            "accuracy 0.9815\n",
            "precision 0.9907\n",
            "recall 0.9630\n",
            "tnr 0.9939\n",
            "tpr 0.9630\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/99.07%/96.30%\n",
            "time: 0.9223\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30509 fp 282 tn 46763 fn 1156\n",
            "accuracy 0.9817\n",
            "precision 0.9908\n",
            "recall 0.9635\n",
            "tnr 0.9940\n",
            "tpr 0.9635\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.17%/99.08%/96.35%\n",
            "time: 0.8993\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30246 fp 320 tn 47015 fn 1129\n",
            "accuracy 0.9816\n",
            "precision 0.9895\n",
            "recall 0.9640\n",
            "tnr 0.9932\n",
            "tpr 0.9640\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.16%/98.95%/96.40%\n",
            "time: 0.9047\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30316 fp 295 tn 46957 fn 1142\n",
            "accuracy 0.9817\n",
            "precision 0.9904\n",
            "recall 0.9637\n",
            "tnr 0.9938\n",
            "tpr 0.9637\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/99.04%/96.37%\n",
            "time: 0.8916\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30185 fp 281 tn 47084 fn 1160\n",
            "accuracy 0.9817\n",
            "precision 0.9908\n",
            "recall 0.9630\n",
            "tnr 0.9941\n",
            "tpr 0.9630\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.17%/99.08%/96.30%\n",
            "time: 0.8987\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30344 fp 274 tn 46940 fn 1152\n",
            "accuracy 0.9819\n",
            "precision 0.9911\n",
            "recall 0.9634\n",
            "tnr 0.9942\n",
            "tpr 0.9634\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.19%/99.11%/96.34%\n",
            "time: 0.8973\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30498 fp 296 tn 46782 fn 1134\n",
            "accuracy 0.9818\n",
            "precision 0.9904\n",
            "recall 0.9642\n",
            "tnr 0.9937\n",
            "tpr 0.9642\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.18%/99.04%/96.42%\n",
            "time: 0.9031\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30399 fp 274 tn 46847 fn 1190\n",
            "accuracy 0.9814\n",
            "precision 0.9911\n",
            "recall 0.9623\n",
            "tnr 0.9942\n",
            "tpr 0.9623\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.14%/99.11%/96.23%\n",
            "time: 0.9086\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30186 fp 300 tn 47109 fn 1115\n",
            "accuracy 0.9820\n",
            "precision 0.9902\n",
            "recall 0.9644\n",
            "tnr 0.9937\n",
            "tpr 0.9644\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.20%/99.02%/96.44%\n",
            "time: 0.9235\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30222 fp 263 tn 47117 fn 1108\n",
            "accuracy 0.9826\n",
            "precision 0.9914\n",
            "recall 0.9646\n",
            "tnr 0.9944\n",
            "tpr 0.9646\n",
            "f1 0.9778\n",
            "acc/pre/rec:  98.26%/99.14%/96.46%\n",
            "time: 0.8952\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30134 fp 268 tn 47129 fn 1179\n",
            "accuracy 0.9816\n",
            "precision 0.9912\n",
            "recall 0.9623\n",
            "tnr 0.9943\n",
            "tpr 0.9623\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.16%/99.12%/96.23%\n",
            "time: 0.8895\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30145 fp 303 tn 47137 fn 1125\n",
            "accuracy 0.9819\n",
            "precision 0.9900\n",
            "recall 0.9640\n",
            "tnr 0.9936\n",
            "tpr 0.9640\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.19%/99.00%/96.40%\n",
            "time: 0.8975\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30353 fp 285 tn 46923 fn 1149\n",
            "accuracy 0.9818\n",
            "precision 0.9907\n",
            "recall 0.9635\n",
            "tnr 0.9940\n",
            "tpr 0.9635\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.18%/99.07%/96.35%\n",
            "time: 0.9160\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30230 fp 292 tn 47032 fn 1156\n",
            "accuracy 0.9816\n",
            "precision 0.9904\n",
            "recall 0.9632\n",
            "tnr 0.9938\n",
            "tpr 0.9632\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.16%/99.04%/96.32%\n",
            "time: 0.8981\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30250 fp 289 tn 47003 fn 1168\n",
            "accuracy 0.9815\n",
            "precision 0.9905\n",
            "recall 0.9628\n",
            "tnr 0.9939\n",
            "tpr 0.9628\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/99.05%/96.28%\n",
            "time: 0.9106\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30361 fp 301 tn 46947 fn 1101\n",
            "accuracy 0.9822\n",
            "precision 0.9902\n",
            "recall 0.9650\n",
            "tnr 0.9936\n",
            "tpr 0.9650\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.22%/99.02%/96.50%\n",
            "time: 0.8998\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30302 fp 263 tn 46985 fn 1160\n",
            "accuracy 0.9819\n",
            "precision 0.9914\n",
            "recall 0.9631\n",
            "tnr 0.9944\n",
            "tpr 0.9631\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.19%/99.14%/96.31%\n",
            "time: 0.9241\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30133 fp 288 tn 47117 fn 1172\n",
            "accuracy 0.9815\n",
            "precision 0.9905\n",
            "recall 0.9626\n",
            "tnr 0.9939\n",
            "tpr 0.9626\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.15%/99.05%/96.26%\n",
            "time: 0.9064\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30431 fp 302 tn 46830 fn 1147\n",
            "accuracy 0.9816\n",
            "precision 0.9902\n",
            "recall 0.9637\n",
            "tnr 0.9936\n",
            "tpr 0.9637\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/99.02%/96.37%\n",
            "time: 0.9088\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30384 fp 286 tn 46905 fn 1135\n",
            "accuracy 0.9819\n",
            "precision 0.9907\n",
            "recall 0.9640\n",
            "tnr 0.9939\n",
            "tpr 0.9640\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.19%/99.07%/96.40%\n",
            "time: 0.9046\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30231 fp 291 tn 47093 fn 1095\n",
            "accuracy 0.9824\n",
            "precision 0.9905\n",
            "recall 0.9650\n",
            "tnr 0.9939\n",
            "tpr 0.9650\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.24%/99.05%/96.50%\n",
            "time: 0.8931\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30286 fp 249 tn 47057 fn 1118\n",
            "accuracy 0.9826\n",
            "precision 0.9918\n",
            "recall 0.9644\n",
            "tnr 0.9947\n",
            "tpr 0.9644\n",
            "f1 0.9779\n",
            "acc/pre/rec:  98.26%/99.18%/96.44%\n",
            "time: 0.9713\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30377 fp 306 tn 46906 fn 1121\n",
            "accuracy 0.9819\n",
            "precision 0.9900\n",
            "recall 0.9644\n",
            "tnr 0.9935\n",
            "tpr 0.9644\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.19%/99.00%/96.44%\n",
            "time: 0.8941\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30160 fp 292 tn 47125 fn 1133\n",
            "accuracy 0.9819\n",
            "precision 0.9904\n",
            "recall 0.9638\n",
            "tnr 0.9938\n",
            "tpr 0.9638\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.19%/99.04%/96.38%\n",
            "time: 0.9061\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30138 fp 273 tn 47213 fn 1086\n",
            "accuracy 0.9827\n",
            "precision 0.9910\n",
            "recall 0.9652\n",
            "tnr 0.9943\n",
            "tpr 0.9652\n",
            "f1 0.9780\n",
            "acc/pre/rec:  98.27%/99.10%/96.52%\n",
            "time: 0.9179\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30319 fp 283 tn 46948 fn 1160\n",
            "accuracy 0.9817\n",
            "precision 0.9908\n",
            "recall 0.9632\n",
            "tnr 0.9940\n",
            "tpr 0.9632\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/99.08%/96.32%\n",
            "time: 0.9222\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30332 fp 260 tn 47024 fn 1094\n",
            "accuracy 0.9828\n",
            "precision 0.9915\n",
            "recall 0.9652\n",
            "tnr 0.9945\n",
            "tpr 0.9652\n",
            "f1 0.9782\n",
            "acc/pre/rec:  98.28%/99.15%/96.52%\n",
            "time: 0.8986\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30198 fp 316 tn 47061 fn 1135\n",
            "accuracy 0.9816\n",
            "precision 0.9896\n",
            "recall 0.9638\n",
            "tnr 0.9933\n",
            "tpr 0.9638\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.16%/98.96%/96.38%\n",
            "time: 0.9028\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30257 fp 254 tn 47068 fn 1131\n",
            "accuracy 0.9824\n",
            "precision 0.9917\n",
            "recall 0.9640\n",
            "tnr 0.9946\n",
            "tpr 0.9640\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.24%/99.17%/96.40%\n",
            "time: 0.8982\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29997 fp 275 tn 47337 fn 1101\n",
            "accuracy 0.9825\n",
            "precision 0.9909\n",
            "recall 0.9646\n",
            "tnr 0.9942\n",
            "tpr 0.9646\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.25%/99.09%/96.46%\n",
            "time: 0.9030\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30274 fp 295 tn 47013 fn 1128\n",
            "accuracy 0.9819\n",
            "precision 0.9903\n",
            "recall 0.9641\n",
            "tnr 0.9938\n",
            "tpr 0.9641\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.19%/99.03%/96.41%\n",
            "time: 0.9037\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30066 fp 324 tn 47242 fn 1078\n",
            "accuracy 0.9822\n",
            "precision 0.9893\n",
            "recall 0.9654\n",
            "tnr 0.9932\n",
            "tpr 0.9654\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.22%/98.93%/96.54%\n",
            "time: 0.8881\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30030 fp 274 tn 47299 fn 1107\n",
            "accuracy 0.9825\n",
            "precision 0.9910\n",
            "recall 0.9644\n",
            "tnr 0.9942\n",
            "tpr 0.9644\n",
            "f1 0.9775\n",
            "acc/pre/rec:  98.25%/99.10%/96.44%\n",
            "time: 0.9046\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30338 fp 279 tn 46968 fn 1125\n",
            "accuracy 0.9822\n",
            "precision 0.9909\n",
            "recall 0.9642\n",
            "tnr 0.9941\n",
            "tpr 0.9642\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.22%/99.09%/96.42%\n",
            "time: 0.9227\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30136 fp 283 tn 47093 fn 1198\n",
            "accuracy 0.9812\n",
            "precision 0.9907\n",
            "recall 0.9618\n",
            "tnr 0.9940\n",
            "tpr 0.9618\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.12%/99.07%/96.18%\n",
            "time: 0.8947\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30081 fp 302 tn 47189 fn 1138\n",
            "accuracy 0.9817\n",
            "precision 0.9901\n",
            "recall 0.9635\n",
            "tnr 0.9936\n",
            "tpr 0.9635\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.17%/99.01%/96.35%\n",
            "time: 0.9081\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30109 fp 291 tn 47151 fn 1159\n",
            "accuracy 0.9816\n",
            "precision 0.9904\n",
            "recall 0.9629\n",
            "tnr 0.9939\n",
            "tpr 0.9629\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.16%/99.04%/96.29%\n",
            "time: 0.8975\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30287 fp 258 tn 47009 fn 1156\n",
            "accuracy 0.9820\n",
            "precision 0.9916\n",
            "recall 0.9632\n",
            "tnr 0.9945\n",
            "tpr 0.9632\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.20%/99.16%/96.32%\n",
            "time: 0.9117\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30270 fp 262 tn 46995 fn 1183\n",
            "accuracy 0.9816\n",
            "precision 0.9914\n",
            "recall 0.9624\n",
            "tnr 0.9945\n",
            "tpr 0.9624\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/99.14%/96.24%\n",
            "time: 0.9012\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29978 fp 305 tn 47256 fn 1171\n",
            "accuracy 0.9812\n",
            "precision 0.9899\n",
            "recall 0.9624\n",
            "tnr 0.9936\n",
            "tpr 0.9624\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.12%/98.99%/96.24%\n",
            "time: 0.8938\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30280 fp 295 tn 46977 fn 1158\n",
            "accuracy 0.9815\n",
            "precision 0.9904\n",
            "recall 0.9632\n",
            "tnr 0.9938\n",
            "tpr 0.9632\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/99.04%/96.32%\n",
            "time: 0.9205\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30190 fp 311 tn 47053 fn 1156\n",
            "accuracy 0.9814\n",
            "precision 0.9898\n",
            "recall 0.9631\n",
            "tnr 0.9934\n",
            "tpr 0.9631\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/98.98%/96.31%\n",
            "time: 0.9249\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29945 fp 272 tn 47409 fn 1084\n",
            "accuracy 0.9828\n",
            "precision 0.9910\n",
            "recall 0.9651\n",
            "tnr 0.9943\n",
            "tpr 0.9651\n",
            "f1 0.9779\n",
            "acc/pre/rec:  98.28%/99.10%/96.51%\n",
            "time: 0.9023\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30249 fp 267 tn 47057 fn 1137\n",
            "accuracy 0.9822\n",
            "precision 0.9913\n",
            "recall 0.9638\n",
            "tnr 0.9944\n",
            "tpr 0.9638\n",
            "f1 0.9773\n",
            "acc/pre/rec:  98.22%/99.13%/96.38%\n",
            "time: 0.9019\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30322 fp 306 tn 46986 fn 1096\n",
            "accuracy 0.9822\n",
            "precision 0.9900\n",
            "recall 0.9651\n",
            "tnr 0.9935\n",
            "tpr 0.9651\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.22%/99.00%/96.51%\n",
            "time: 0.9022\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30348 fp 265 tn 47013 fn 1084\n",
            "accuracy 0.9829\n",
            "precision 0.9913\n",
            "recall 0.9655\n",
            "tnr 0.9944\n",
            "tpr 0.9655\n",
            "f1 0.9783\n",
            "acc/pre/rec:  98.29%/99.13%/96.55%\n",
            "time: 0.8854\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30302 fp 259 tn 47059 fn 1090\n",
            "accuracy 0.9829\n",
            "precision 0.9915\n",
            "recall 0.9653\n",
            "tnr 0.9945\n",
            "tpr 0.9653\n",
            "f1 0.9782\n",
            "acc/pre/rec:  98.29%/99.15%/96.53%\n",
            "time: 0.8807\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30466 fp 280 tn 46867 fn 1097\n",
            "accuracy 0.9825\n",
            "precision 0.9909\n",
            "recall 0.9652\n",
            "tnr 0.9941\n",
            "tpr 0.9652\n",
            "f1 0.9779\n",
            "acc/pre/rec:  98.25%/99.09%/96.52%\n",
            "time: 0.8900\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30193 fp 294 tn 47079 fn 1144\n",
            "accuracy 0.9817\n",
            "precision 0.9904\n",
            "recall 0.9635\n",
            "tnr 0.9938\n",
            "tpr 0.9635\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.17%/99.04%/96.35%\n",
            "time: 0.8984\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30327 fp 282 tn 46926 fn 1175\n",
            "accuracy 0.9815\n",
            "precision 0.9908\n",
            "recall 0.9627\n",
            "tnr 0.9940\n",
            "tpr 0.9627\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/99.08%/96.27%\n",
            "time: 0.9136\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30282 fp 307 tn 46941 fn 1180\n",
            "accuracy 0.9811\n",
            "precision 0.9900\n",
            "recall 0.9625\n",
            "tnr 0.9935\n",
            "tpr 0.9625\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.11%/99.00%/96.25%\n",
            "time: 0.9162\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30351 fp 268 tn 46903 fn 1188\n",
            "accuracy 0.9815\n",
            "precision 0.9912\n",
            "recall 0.9623\n",
            "tnr 0.9943\n",
            "tpr 0.9623\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/99.12%/96.23%\n",
            "time: 0.8974\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30242 fp 278 tn 46995 fn 1195\n",
            "accuracy 0.9813\n",
            "precision 0.9909\n",
            "recall 0.9620\n",
            "tnr 0.9941\n",
            "tpr 0.9620\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.13%/99.09%/96.20%\n",
            "time: 0.8983\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30336 fp 280 tn 46897 fn 1197\n",
            "accuracy 0.9812\n",
            "precision 0.9909\n",
            "recall 0.9620\n",
            "tnr 0.9941\n",
            "tpr 0.9620\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.12%/99.09%/96.20%\n",
            "time: 0.8972\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30269 fp 282 tn 47029 fn 1130\n",
            "accuracy 0.9821\n",
            "precision 0.9908\n",
            "recall 0.9640\n",
            "tnr 0.9940\n",
            "tpr 0.9640\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.21%/99.08%/96.40%\n",
            "time: 0.9030\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30383 fp 274 tn 46873 fn 1180\n",
            "accuracy 0.9815\n",
            "precision 0.9911\n",
            "recall 0.9626\n",
            "tnr 0.9942\n",
            "tpr 0.9626\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/99.11%/96.26%\n",
            "time: 0.9023\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30273 fp 279 tn 47051 fn 1107\n",
            "accuracy 0.9824\n",
            "precision 0.9909\n",
            "recall 0.9647\n",
            "tnr 0.9941\n",
            "tpr 0.9647\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.24%/99.09%/96.47%\n",
            "time: 0.9120\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30310 fp 287 tn 46949 fn 1164\n",
            "accuracy 0.9816\n",
            "precision 0.9906\n",
            "recall 0.9630\n",
            "tnr 0.9939\n",
            "tpr 0.9630\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.16%/99.06%/96.30%\n",
            "time: 0.9155\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30288 fp 278 tn 47046 fn 1098\n",
            "accuracy 0.9825\n",
            "precision 0.9909\n",
            "recall 0.9650\n",
            "tnr 0.9941\n",
            "tpr 0.9650\n",
            "f1 0.9778\n",
            "acc/pre/rec:  98.25%/99.09%/96.50%\n",
            "time: 0.9134\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30485 fp 249 tn 46857 fn 1119\n",
            "accuracy 0.9826\n",
            "precision 0.9919\n",
            "recall 0.9646\n",
            "tnr 0.9947\n",
            "tpr 0.9646\n",
            "f1 0.9781\n",
            "acc/pre/rec:  98.26%/99.19%/96.46%\n",
            "time: 0.9005\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29961 fp 289 tn 47321 fn 1139\n",
            "accuracy 0.9819\n",
            "precision 0.9904\n",
            "recall 0.9634\n",
            "tnr 0.9939\n",
            "tpr 0.9634\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.19%/99.04%/96.34%\n",
            "time: 0.8966\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30166 fp 269 tn 47119 fn 1156\n",
            "accuracy 0.9819\n",
            "precision 0.9912\n",
            "recall 0.9631\n",
            "tnr 0.9943\n",
            "tpr 0.9631\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.19%/99.12%/96.31%\n",
            "time: 0.8874\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30137 fp 255 tn 47177 fn 1141\n",
            "accuracy 0.9823\n",
            "precision 0.9916\n",
            "recall 0.9635\n",
            "tnr 0.9946\n",
            "tpr 0.9635\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.23%/99.16%/96.35%\n",
            "time: 0.9048\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30285 fp 281 tn 46977 fn 1167\n",
            "accuracy 0.9816\n",
            "precision 0.9908\n",
            "recall 0.9629\n",
            "tnr 0.9941\n",
            "tpr 0.9629\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/99.08%/96.29%\n",
            "time: 0.8923\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30284 fp 272 tn 47029 fn 1125\n",
            "accuracy 0.9823\n",
            "precision 0.9911\n",
            "recall 0.9642\n",
            "tnr 0.9942\n",
            "tpr 0.9642\n",
            "f1 0.9775\n",
            "acc/pre/rec:  98.23%/99.11%/96.42%\n",
            "time: 0.9031\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30033 fp 279 tn 47248 fn 1150\n",
            "accuracy 0.9818\n",
            "precision 0.9908\n",
            "recall 0.9631\n",
            "tnr 0.9941\n",
            "tpr 0.9631\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.18%/99.08%/96.31%\n",
            "time: 0.9263\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30429 fp 283 tn 46869 fn 1129\n",
            "accuracy 0.9821\n",
            "precision 0.9908\n",
            "recall 0.9642\n",
            "tnr 0.9940\n",
            "tpr 0.9642\n",
            "f1 0.9773\n",
            "acc/pre/rec:  98.21%/99.08%/96.42%\n",
            "time: 0.9066\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30301 fp 256 tn 46980 fn 1173\n",
            "accuracy 0.9818\n",
            "precision 0.9916\n",
            "recall 0.9627\n",
            "tnr 0.9946\n",
            "tpr 0.9627\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.18%/99.16%/96.27%\n",
            "time: 0.8994\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30240 fp 259 tn 47091 fn 1120\n",
            "accuracy 0.9825\n",
            "precision 0.9915\n",
            "recall 0.9643\n",
            "tnr 0.9945\n",
            "tpr 0.9643\n",
            "f1 0.9777\n",
            "acc/pre/rec:  98.25%/99.15%/96.43%\n",
            "time: 0.9009\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30020 fp 255 tn 47321 fn 1114\n",
            "accuracy 0.9826\n",
            "precision 0.9916\n",
            "recall 0.9642\n",
            "tnr 0.9946\n",
            "tpr 0.9642\n",
            "f1 0.9777\n",
            "acc/pre/rec:  98.26%/99.16%/96.42%\n",
            "time: 0.8987\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30486 fp 271 tn 46780 fn 1173\n",
            "accuracy 0.9817\n",
            "precision 0.9912\n",
            "recall 0.9629\n",
            "tnr 0.9942\n",
            "tpr 0.9629\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.17%/99.12%/96.29%\n",
            "time: 0.9002\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30385 fp 264 tn 46947 fn 1114\n",
            "accuracy 0.9825\n",
            "precision 0.9914\n",
            "recall 0.9646\n",
            "tnr 0.9944\n",
            "tpr 0.9646\n",
            "f1 0.9778\n",
            "acc/pre/rec:  98.25%/99.14%/96.46%\n",
            "time: 0.8892\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30243 fp 292 tn 46985 fn 1190\n",
            "accuracy 0.9812\n",
            "precision 0.9904\n",
            "recall 0.9621\n",
            "tnr 0.9938\n",
            "tpr 0.9621\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/99.04%/96.21%\n",
            "time: 0.8960\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30217 fp 240 tn 47108 fn 1145\n",
            "accuracy 0.9824\n",
            "precision 0.9921\n",
            "recall 0.9635\n",
            "tnr 0.9949\n",
            "tpr 0.9635\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.24%/99.21%/96.35%\n",
            "time: 0.9154\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30346 fp 288 tn 46935 fn 1141\n",
            "accuracy 0.9818\n",
            "precision 0.9906\n",
            "recall 0.9638\n",
            "tnr 0.9939\n",
            "tpr 0.9638\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.18%/99.06%/96.38%\n",
            "time: 0.9194\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30347 fp 296 tn 46971 fn 1096\n",
            "accuracy 0.9823\n",
            "precision 0.9903\n",
            "recall 0.9651\n",
            "tnr 0.9937\n",
            "tpr 0.9651\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.23%/99.03%/96.51%\n",
            "time: 0.9001\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30244 fp 279 tn 47058 fn 1129\n",
            "accuracy 0.9821\n",
            "precision 0.9909\n",
            "recall 0.9640\n",
            "tnr 0.9941\n",
            "tpr 0.9640\n",
            "f1 0.9773\n",
            "acc/pre/rec:  98.21%/99.09%/96.40%\n",
            "time: 0.8992\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29910 fp 277 tn 47433 fn 1090\n",
            "accuracy 0.9826\n",
            "precision 0.9908\n",
            "recall 0.9648\n",
            "tnr 0.9942\n",
            "tpr 0.9648\n",
            "f1 0.9777\n",
            "acc/pre/rec:  98.26%/99.08%/96.48%\n",
            "time: 0.9038\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30123 fp 275 tn 47179 fn 1133\n",
            "accuracy 0.9821\n",
            "precision 0.9910\n",
            "recall 0.9638\n",
            "tnr 0.9942\n",
            "tpr 0.9638\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.21%/99.10%/96.38%\n",
            "time: 0.9024\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30344 fp 305 tn 46947 fn 1114\n",
            "accuracy 0.9820\n",
            "precision 0.9900\n",
            "recall 0.9646\n",
            "tnr 0.9935\n",
            "tpr 0.9646\n",
            "f1 0.9772\n",
            "acc/pre/rec:  98.20%/99.00%/96.46%\n",
            "time: 0.9002\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30156 fp 283 tn 47131 fn 1140\n",
            "accuracy 0.9819\n",
            "precision 0.9907\n",
            "recall 0.9636\n",
            "tnr 0.9940\n",
            "tpr 0.9636\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.19%/99.07%/96.36%\n",
            "time: 0.8862\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30513 fp 287 tn 46757 fn 1153\n",
            "accuracy 0.9817\n",
            "precision 0.9907\n",
            "recall 0.9636\n",
            "tnr 0.9939\n",
            "tpr 0.9636\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.17%/99.07%/96.36%\n",
            "time: 0.9077\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30425 fp 286 tn 46893 fn 1106\n",
            "accuracy 0.9823\n",
            "precision 0.9907\n",
            "recall 0.9649\n",
            "tnr 0.9939\n",
            "tpr 0.9649\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.23%/99.07%/96.49%\n",
            "time: 0.9105\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30376 fp 290 tn 46950 fn 1094\n",
            "accuracy 0.9824\n",
            "precision 0.9905\n",
            "recall 0.9652\n",
            "tnr 0.9939\n",
            "tpr 0.9652\n",
            "f1 0.9777\n",
            "acc/pre/rec:  98.24%/99.05%/96.52%\n",
            "time: 0.9049\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30386 fp 287 tn 46888 fn 1149\n",
            "accuracy 0.9818\n",
            "precision 0.9906\n",
            "recall 0.9636\n",
            "tnr 0.9939\n",
            "tpr 0.9636\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.18%/99.06%/96.36%\n",
            "time: 0.8991\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30249 fp 282 tn 46979 fn 1200\n",
            "accuracy 0.9812\n",
            "precision 0.9908\n",
            "recall 0.9618\n",
            "tnr 0.9940\n",
            "tpr 0.9618\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/99.08%/96.18%\n",
            "time: 0.8921\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30443 fp 277 tn 46893 fn 1097\n",
            "accuracy 0.9825\n",
            "precision 0.9910\n",
            "recall 0.9652\n",
            "tnr 0.9941\n",
            "tpr 0.9652\n",
            "f1 0.9779\n",
            "acc/pre/rec:  98.25%/99.10%/96.52%\n",
            "time: 0.8829\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30364 fp 269 tn 46912 fn 1165\n",
            "accuracy 0.9818\n",
            "precision 0.9912\n",
            "recall 0.9630\n",
            "tnr 0.9943\n",
            "tpr 0.9630\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.18%/99.12%/96.30%\n",
            "time: 0.8991\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30176 fp 269 tn 47113 fn 1152\n",
            "accuracy 0.9819\n",
            "precision 0.9912\n",
            "recall 0.9632\n",
            "tnr 0.9943\n",
            "tpr 0.9632\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.19%/99.12%/96.32%\n",
            "time: 0.8932\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30073 fp 261 tn 47247 fn 1129\n",
            "accuracy 0.9823\n",
            "precision 0.9914\n",
            "recall 0.9638\n",
            "tnr 0.9945\n",
            "tpr 0.9638\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.23%/99.14%/96.38%\n",
            "time: 0.8985\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30325 fp 294 tn 46941 fn 1150\n",
            "accuracy 0.9817\n",
            "precision 0.9904\n",
            "recall 0.9635\n",
            "tnr 0.9938\n",
            "tpr 0.9635\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.17%/99.04%/96.35%\n",
            "time: 0.9201\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30352 fp 290 tn 46891 fn 1177\n",
            "accuracy 0.9814\n",
            "precision 0.9905\n",
            "recall 0.9627\n",
            "tnr 0.9939\n",
            "tpr 0.9627\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.14%/99.05%/96.27%\n",
            "time: 0.8962\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30350 fp 303 tn 46912 fn 1145\n",
            "accuracy 0.9816\n",
            "precision 0.9901\n",
            "recall 0.9636\n",
            "tnr 0.9936\n",
            "tpr 0.9636\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/99.01%/96.36%\n",
            "time: 0.8867\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30308 fp 279 tn 47010 fn 1113\n",
            "accuracy 0.9823\n",
            "precision 0.9909\n",
            "recall 0.9646\n",
            "tnr 0.9941\n",
            "tpr 0.9646\n",
            "f1 0.9776\n",
            "acc/pre/rec:  98.23%/99.09%/96.46%\n",
            "time: 0.8956\n",
            "Inference time: avg time 0.9030 stdev 0.0123\n",
            "\n",
            "done...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py --graph_name rand5k --gpu 0 --n-layers 1 --reduce_edge_feature 1"
      ],
      "metadata": {
        "id": "iVFlDuSnCV56",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1e189397-3330-4278-d171-8513b5756962"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(db_name='top10k', graph_name='rand5k', g_to_merge=None, dropout=0, gpu=0, lr=0.005, n_epochs=1000, n_hidden=16, n_layers=1, weight_decay=0.0005, r_train=0.8, r_test=0.1, testing_option=3, r_val=0.1, model_name='tmp_model_name', file_to_write='', fold=5, reduce_edge_feature=1)\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "/usr/local/lib/python3.9/dist-packages/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
            "  dgl_warning('Recommend creating graphs by `dgl.graph(data)`'\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 1666])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "\n",
            "************initilize model************\n",
            "WTAGNN(\n",
            "  (layers): ModuleList(\n",
            "    (0): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=32, out_features=16, bias=True)\n",
            "      )\n",
            "    )\n",
            "    (1): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=4, out_features=2, bias=True)\n",
            "      )\n",
            "    )\n",
            "  )\n",
            ")\n",
            "using gpu: 0\n",
            "\n",
            "************start training************\n",
            "Epoch 00000 | Time(s) 1.7449 | Loss 2.4040 | Accuracy 0.5509 | ETputs(KTEPS) 451.09\n",
            "Epoch 00001 | Time(s) 0.6809 | Loss 1.5081 | Accuracy 0.6542 | ETputs(KTEPS) 648.94\n",
            "Epoch 00002 | Time(s) 0.6934 | Loss 0.9731 | Accuracy 0.6870 | ETputs(KTEPS) 757.02\n",
            "Epoch 00003 | Time(s) 0.6841 | Loss 0.8708 | Accuracy 0.7097 | ETputs(KTEPS) 827.79\n",
            "Epoch 00004 | Time(s) 0.6894 | Loss 0.7105 | Accuracy 0.7109 | ETputs(KTEPS) 875.96\n",
            "Epoch 00005 | Time(s) 0.6914 | Loss 0.6702 | Accuracy 0.7201 | ETputs(KTEPS) 910.96\n",
            "Epoch 00006 | Time(s) 0.6940 | Loss 0.6324 | Accuracy 0.7454 | ETputs(KTEPS) 937.32\n",
            "Epoch 00007 | Time(s) 0.6985 | Loss 0.5673 | Accuracy 0.7621 | ETputs(KTEPS) 957.45\n",
            "Epoch 00008 | Time(s) 0.6989 | Loss 0.5316 | Accuracy 0.7685 | ETputs(KTEPS) 973.67\n",
            "Epoch 00009 | Time(s) 0.6935 | Loss 0.5109 | Accuracy 0.7776 | ETputs(KTEPS) 987.70\n",
            "Epoch 00010 | Time(s) 0.6953 | Loss 0.4834 | Accuracy 0.7866 | ETputs(KTEPS) 999.28\n",
            "Epoch 00011 | Time(s) 0.6935 | Loss 0.4568 | Accuracy 0.7936 | ETputs(KTEPS) 1009.34\n",
            "Epoch 00012 | Time(s) 0.6935 | Loss 0.4397 | Accuracy 0.7983 | ETputs(KTEPS) 1018.02\n",
            "Epoch 00013 | Time(s) 0.7026 | Loss 0.4308 | Accuracy 0.8027 | ETputs(KTEPS) 1024.69\n",
            "Epoch 00014 | Time(s) 0.6922 | Loss 0.4227 | Accuracy 0.8103 | ETputs(KTEPS) 1031.49\n",
            "Epoch 00015 | Time(s) 0.6989 | Loss 0.4102 | Accuracy 0.8219 | ETputs(KTEPS) 1036.94\n",
            "Epoch 00016 | Time(s) 0.6935 | Loss 0.3946 | Accuracy 0.8317 | ETputs(KTEPS) 1042.23\n",
            "Epoch 00017 | Time(s) 0.6943 | Loss 0.3811 | Accuracy 0.8367 | ETputs(KTEPS) 1046.92\n",
            "Epoch 00018 | Time(s) 0.6993 | Loss 0.3727 | Accuracy 0.8397 | ETputs(KTEPS) 1050.78\n",
            "Epoch 00019 | Time(s) 0.6843 | Loss 0.3675 | Accuracy 0.8444 | ETputs(KTEPS) 1055.35\n",
            "Epoch 00020 | Time(s) 0.6901 | Loss 0.3603 | Accuracy 0.8512 | ETputs(KTEPS) 1059.12\n",
            "Epoch 00021 | Time(s) 0.6940 | Loss 0.3502 | Accuracy 0.8556 | ETputs(KTEPS) 1062.31\n",
            "Epoch 00022 | Time(s) 0.6833 | Loss 0.3421 | Accuracy 0.8578 | ETputs(KTEPS) 1065.91\n",
            "Epoch 00023 | Time(s) 0.6960 | Loss 0.3377 | Accuracy 0.8602 | ETputs(KTEPS) 1068.47\n",
            "Epoch 00024 | Time(s) 0.6915 | Loss 0.3332 | Accuracy 0.8641 | ETputs(KTEPS) 1071.09\n",
            "Epoch 00025 | Time(s) 0.6937 | Loss 0.3259 | Accuracy 0.8687 | ETputs(KTEPS) 1073.41\n",
            "Epoch 00026 | Time(s) 0.7583 | Loss 0.3177 | Accuracy 0.8722 | ETputs(KTEPS) 1072.05\n",
            "Epoch 00027 | Time(s) 0.7026 | Loss 0.3120 | Accuracy 0.8740 | ETputs(KTEPS) 1073.71\n",
            "Epoch 00028 | Time(s) 0.6956 | Loss 0.3090 | Accuracy 0.8752 | ETputs(KTEPS) 1075.60\n",
            "Epoch 00029 | Time(s) 0.7047 | Loss 0.3059 | Accuracy 0.8778 | ETputs(KTEPS) 1076.93\n",
            "Epoch 00030 | Time(s) 0.6965 | Loss 0.3012 | Accuracy 0.8802 | ETputs(KTEPS) 1078.57\n",
            "Epoch 00031 | Time(s) 0.7033 | Loss 0.2958 | Accuracy 0.8817 | ETputs(KTEPS) 1079.79\n",
            "Epoch 00032 | Time(s) 0.6898 | Loss 0.2916 | Accuracy 0.8830 | ETputs(KTEPS) 1081.55\n",
            "Epoch 00033 | Time(s) 0.6899 | Loss 0.2887 | Accuracy 0.8841 | ETputs(KTEPS) 1083.21\n",
            "Epoch 00034 | Time(s) 0.6933 | Loss 0.2857 | Accuracy 0.8861 | ETputs(KTEPS) 1084.63\n",
            "Epoch 00035 | Time(s) 0.6952 | Loss 0.2816 | Accuracy 0.8881 | ETputs(KTEPS) 1085.89\n",
            "Epoch 00036 | Time(s) 0.7005 | Loss 0.2772 | Accuracy 0.8909 | ETputs(KTEPS) 1086.88\n",
            "Epoch 00037 | Time(s) 0.7091 | Loss 0.2738 | Accuracy 0.8924 | ETputs(KTEPS) 1087.47\n",
            "Epoch 00038 | Time(s) 0.7094 | Loss 0.2714 | Accuracy 0.8938 | ETputs(KTEPS) 1088.03\n",
            "Epoch 00039 | Time(s) 0.7007 | Loss 0.2688 | Accuracy 0.8945 | ETputs(KTEPS) 1088.88\n",
            "Epoch 00040 | Time(s) 0.7619 | Loss 0.2652 | Accuracy 0.8958 | ETputs(KTEPS) 1087.45\n",
            "Epoch 00041 | Time(s) 0.6935 | Loss 0.2618 | Accuracy 0.8966 | ETputs(KTEPS) 1088.54\n",
            "Epoch 00042 | Time(s) 0.6782 | Loss 0.2593 | Accuracy 0.8976 | ETputs(KTEPS) 1090.11\n",
            "Epoch 00043 | Time(s) 0.6953 | Loss 0.2571 | Accuracy 0.8987 | ETputs(KTEPS) 1091.03\n",
            "Epoch 00044 | Time(s) 0.6961 | Loss 0.2544 | Accuracy 0.9002 | ETputs(KTEPS) 1091.88\n",
            "Epoch 00045 | Time(s) 0.6921 | Loss 0.2515 | Accuracy 0.9020 | ETputs(KTEPS) 1092.83\n",
            "Epoch 00046 | Time(s) 0.6975 | Loss 0.2490 | Accuracy 0.9028 | ETputs(KTEPS) 1093.57\n",
            "Epoch 00047 | Time(s) 0.7037 | Loss 0.2470 | Accuracy 0.9040 | ETputs(KTEPS) 1094.07\n",
            "Epoch 00048 | Time(s) 0.6961 | Loss 0.2449 | Accuracy 0.9048 | ETputs(KTEPS) 1094.80\n",
            "Epoch 00049 | Time(s) 0.6967 | Loss 0.2424 | Accuracy 0.9058 | ETputs(KTEPS) 1095.48\n",
            "Epoch 00050 | Time(s) 0.6942 | Loss 0.2401 | Accuracy 0.9066 | ETputs(KTEPS) 1096.21\n",
            "Epoch 00051 | Time(s) 0.6905 | Loss 0.2381 | Accuracy 0.9072 | ETputs(KTEPS) 1097.02\n",
            "Epoch 00052 | Time(s) 0.6915 | Loss 0.2362 | Accuracy 0.9081 | ETputs(KTEPS) 1097.76\n",
            "Epoch 00053 | Time(s) 0.6955 | Loss 0.2341 | Accuracy 0.9092 | ETputs(KTEPS) 1098.38\n",
            "Epoch 00054 | Time(s) 0.6919 | Loss 0.2320 | Accuracy 0.9104 | ETputs(KTEPS) 1099.06\n",
            "Epoch 00055 | Time(s) 0.6952 | Loss 0.2302 | Accuracy 0.9115 | ETputs(KTEPS) 1099.64\n",
            "Epoch 00056 | Time(s) 0.6927 | Loss 0.2285 | Accuracy 0.9125 | ETputs(KTEPS) 1100.26\n",
            "Epoch 00057 | Time(s) 0.7051 | Loss 0.2266 | Accuracy 0.9134 | ETputs(KTEPS) 1100.54\n",
            "Epoch 00058 | Time(s) 0.7039 | Loss 0.2246 | Accuracy 0.9142 | ETputs(KTEPS) 1100.83\n",
            "Epoch 00059 | Time(s) 0.6893 | Loss 0.2229 | Accuracy 0.9147 | ETputs(KTEPS) 1101.49\n",
            "Epoch 00060 | Time(s) 0.7074 | Loss 0.2213 | Accuracy 0.9156 | ETputs(KTEPS) 1101.67\n",
            "Epoch 00061 | Time(s) 0.6898 | Loss 0.2196 | Accuracy 0.9166 | ETputs(KTEPS) 1102.29\n",
            "Epoch 00062 | Time(s) 0.6948 | Loss 0.2179 | Accuracy 0.9177 | ETputs(KTEPS) 1102.76\n",
            "Epoch 00063 | Time(s) 0.7057 | Loss 0.2163 | Accuracy 0.9185 | ETputs(KTEPS) 1102.95\n",
            "Epoch 00064 | Time(s) 0.7099 | Loss 0.2148 | Accuracy 0.9192 | ETputs(KTEPS) 1103.04\n",
            "Epoch 00065 | Time(s) 0.6920 | Loss 0.2133 | Accuracy 0.9199 | ETputs(KTEPS) 1103.55\n",
            "Epoch 00066 | Time(s) 0.6919 | Loss 0.2117 | Accuracy 0.9205 | ETputs(KTEPS) 1104.04\n",
            "Epoch 00067 | Time(s) 0.6804 | Loss 0.2102 | Accuracy 0.9213 | ETputs(KTEPS) 1104.78\n",
            "Epoch 00068 | Time(s) 0.6928 | Loss 0.2088 | Accuracy 0.9222 | ETputs(KTEPS) 1105.22\n",
            "Epoch 00069 | Time(s) 0.6863 | Loss 0.2074 | Accuracy 0.9230 | ETputs(KTEPS) 1105.80\n",
            "Epoch 00070 | Time(s) 0.6961 | Loss 0.2060 | Accuracy 0.9237 | ETputs(KTEPS) 1106.14\n",
            "Epoch 00071 | Time(s) 0.6824 | Loss 0.2046 | Accuracy 0.9243 | ETputs(KTEPS) 1106.77\n",
            "Epoch 00072 | Time(s) 0.6911 | Loss 0.2033 | Accuracy 0.9249 | ETputs(KTEPS) 1107.20\n",
            "Epoch 00073 | Time(s) 0.6974 | Loss 0.2019 | Accuracy 0.9255 | ETputs(KTEPS) 1107.48\n",
            "Epoch 00074 | Time(s) 0.6843 | Loss 0.2006 | Accuracy 0.9262 | ETputs(KTEPS) 1108.03\n",
            "Epoch 00075 | Time(s) 0.6947 | Loss 0.1993 | Accuracy 0.9269 | ETputs(KTEPS) 1108.35\n",
            "Epoch 00076 | Time(s) 0.6930 | Loss 0.1981 | Accuracy 0.9277 | ETputs(KTEPS) 1108.70\n",
            "Epoch 00077 | Time(s) 0.7611 | Loss 0.1968 | Accuracy 0.9283 | ETputs(KTEPS) 1107.68\n",
            "Epoch 00078 | Time(s) 0.6851 | Loss 0.1956 | Accuracy 0.9290 | ETputs(KTEPS) 1108.18\n",
            "Epoch 00079 | Time(s) 0.6871 | Loss 0.1944 | Accuracy 0.9294 | ETputs(KTEPS) 1108.63\n",
            "Epoch 00080 | Time(s) 0.6747 | Loss 0.1931 | Accuracy 0.9301 | ETputs(KTEPS) 1109.31\n",
            "Epoch 00081 | Time(s) 0.6907 | Loss 0.1919 | Accuracy 0.9306 | ETputs(KTEPS) 1109.67\n",
            "Epoch 00082 | Time(s) 0.6963 | Loss 0.1908 | Accuracy 0.9311 | ETputs(KTEPS) 1109.92\n",
            "Epoch 00083 | Time(s) 0.7050 | Loss 0.1896 | Accuracy 0.9315 | ETputs(KTEPS) 1109.99\n",
            "Epoch 00084 | Time(s) 0.6898 | Loss 0.1885 | Accuracy 0.9320 | ETputs(KTEPS) 1110.35\n",
            "Epoch 00085 | Time(s) 0.6965 | Loss 0.1874 | Accuracy 0.9325 | ETputs(KTEPS) 1110.58\n",
            "Epoch 00086 | Time(s) 0.7137 | Loss 0.1863 | Accuracy 0.9333 | ETputs(KTEPS) 1110.49\n",
            "Epoch 00087 | Time(s) 0.6958 | Loss 0.1852 | Accuracy 0.9340 | ETputs(KTEPS) 1110.72\n",
            "Epoch 00088 | Time(s) 0.6898 | Loss 0.1841 | Accuracy 0.9344 | ETputs(KTEPS) 1111.05\n",
            "Epoch 00089 | Time(s) 0.6916 | Loss 0.1831 | Accuracy 0.9349 | ETputs(KTEPS) 1111.34\n",
            "Epoch 00090 | Time(s) 0.6960 | Loss 0.1820 | Accuracy 0.9355 | ETputs(KTEPS) 1111.55\n",
            "Epoch 00091 | Time(s) 0.6955 | Loss 0.1810 | Accuracy 0.9361 | ETputs(KTEPS) 1111.77\n",
            "Epoch 00092 | Time(s) 0.6904 | Loss 0.1800 | Accuracy 0.9364 | ETputs(KTEPS) 1112.07\n",
            "Epoch 00093 | Time(s) 0.6989 | Loss 0.1790 | Accuracy 0.9368 | ETputs(KTEPS) 1112.21\n",
            "Epoch 00094 | Time(s) 0.6957 | Loss 0.1780 | Accuracy 0.9371 | ETputs(KTEPS) 1112.41\n",
            "Epoch 00095 | Time(s) 0.7217 | Loss 0.1770 | Accuracy 0.9376 | ETputs(KTEPS) 1112.18\n",
            "Epoch 00096 | Time(s) 0.6897 | Loss 0.1760 | Accuracy 0.9380 | ETputs(KTEPS) 1112.47\n",
            "Epoch 00097 | Time(s) 0.6932 | Loss 0.1750 | Accuracy 0.9384 | ETputs(KTEPS) 1112.70\n",
            "Epoch 00098 | Time(s) 0.6927 | Loss 0.1741 | Accuracy 0.9389 | ETputs(KTEPS) 1112.94\n",
            "Epoch 00099 | Time(s) 0.7037 | Loss 0.1731 | Accuracy 0.9394 | ETputs(KTEPS) 1112.99\n",
            "Epoch 00100 | Time(s) 0.7002 | Loss 0.1722 | Accuracy 0.9397 | ETputs(KTEPS) 1113.10\n",
            "Epoch 00101 | Time(s) 0.6995 | Loss 0.1713 | Accuracy 0.9402 | ETputs(KTEPS) 1113.22\n",
            "Epoch 00102 | Time(s) 0.6806 | Loss 0.1704 | Accuracy 0.9406 | ETputs(KTEPS) 1113.62\n",
            "Epoch 00103 | Time(s) 0.7005 | Loss 0.1695 | Accuracy 0.9409 | ETputs(KTEPS) 1113.72\n",
            "Epoch 00104 | Time(s) 0.6837 | Loss 0.1686 | Accuracy 0.9415 | ETputs(KTEPS) 1114.07\n",
            "Epoch 00105 | Time(s) 0.6959 | Loss 0.1677 | Accuracy 0.9418 | ETputs(KTEPS) 1114.22\n",
            "Epoch 00106 | Time(s) 0.6920 | Loss 0.1669 | Accuracy 0.9422 | ETputs(KTEPS) 1114.44\n",
            "Epoch 00107 | Time(s) 0.6916 | Loss 0.1660 | Accuracy 0.9427 | ETputs(KTEPS) 1114.65\n",
            "Epoch 00108 | Time(s) 0.6949 | Loss 0.1652 | Accuracy 0.9430 | ETputs(KTEPS) 1114.81\n",
            "Epoch 00109 | Time(s) 0.6837 | Loss 0.1643 | Accuracy 0.9434 | ETputs(KTEPS) 1115.14\n",
            "Epoch 00110 | Time(s) 0.7659 | Loss 0.1635 | Accuracy 0.9439 | ETputs(KTEPS) 1114.28\n",
            "Epoch 00111 | Time(s) 0.7066 | Loss 0.1627 | Accuracy 0.9442 | ETputs(KTEPS) 1114.28\n",
            "Epoch 00112 | Time(s) 0.6821 | Loss 0.1619 | Accuracy 0.9446 | ETputs(KTEPS) 1114.62\n",
            "Epoch 00113 | Time(s) 0.6931 | Loss 0.1611 | Accuracy 0.9449 | ETputs(KTEPS) 1114.80\n",
            "Epoch 00114 | Time(s) 0.6858 | Loss 0.1603 | Accuracy 0.9453 | ETputs(KTEPS) 1115.08\n",
            "Epoch 00115 | Time(s) 0.6978 | Loss 0.1596 | Accuracy 0.9454 | ETputs(KTEPS) 1115.19\n",
            "Epoch 00116 | Time(s) 0.6922 | Loss 0.1588 | Accuracy 0.9458 | ETputs(KTEPS) 1115.37\n",
            "Epoch 00117 | Time(s) 0.6919 | Loss 0.1581 | Accuracy 0.9461 | ETputs(KTEPS) 1115.55\n",
            "Epoch 00118 | Time(s) 0.6948 | Loss 0.1573 | Accuracy 0.9463 | ETputs(KTEPS) 1115.70\n",
            "Epoch 00119 | Time(s) 0.6863 | Loss 0.1566 | Accuracy 0.9467 | ETputs(KTEPS) 1115.95\n",
            "Epoch 00120 | Time(s) 0.6939 | Loss 0.1559 | Accuracy 0.9469 | ETputs(KTEPS) 1116.10\n",
            "Epoch 00121 | Time(s) 0.6947 | Loss 0.1552 | Accuracy 0.9473 | ETputs(KTEPS) 1116.23\n",
            "Epoch 00122 | Time(s) 0.6916 | Loss 0.1545 | Accuracy 0.9475 | ETputs(KTEPS) 1116.41\n",
            "Epoch 00123 | Time(s) 0.7055 | Loss 0.1538 | Accuracy 0.9479 | ETputs(KTEPS) 1116.40\n",
            "Epoch 00124 | Time(s) 0.7522 | Loss 0.1531 | Accuracy 0.9481 | ETputs(KTEPS) 1115.81\n",
            "Epoch 00125 | Time(s) 0.6993 | Loss 0.1524 | Accuracy 0.9484 | ETputs(KTEPS) 1115.88\n",
            "Epoch 00126 | Time(s) 0.7019 | Loss 0.1518 | Accuracy 0.9487 | ETputs(KTEPS) 1115.93\n",
            "Epoch 00127 | Time(s) 0.6963 | Loss 0.1511 | Accuracy 0.9489 | ETputs(KTEPS) 1116.04\n",
            "Epoch 00128 | Time(s) 0.6889 | Loss 0.1504 | Accuracy 0.9492 | ETputs(KTEPS) 1116.24\n",
            "Epoch 00129 | Time(s) 0.7018 | Loss 0.1498 | Accuracy 0.9494 | ETputs(KTEPS) 1116.28\n",
            "Epoch 00130 | Time(s) 0.6891 | Loss 0.1492 | Accuracy 0.9496 | ETputs(KTEPS) 1116.47\n",
            "Epoch 00131 | Time(s) 0.6856 | Loss 0.1485 | Accuracy 0.9497 | ETputs(KTEPS) 1116.71\n",
            "Epoch 00132 | Time(s) 0.6791 | Loss 0.1479 | Accuracy 0.9499 | ETputs(KTEPS) 1117.01\n",
            "Epoch 00133 | Time(s) 0.6805 | Loss 0.1473 | Accuracy 0.9500 | ETputs(KTEPS) 1117.30\n",
            "Epoch 00134 | Time(s) 0.6935 | Loss 0.1467 | Accuracy 0.9502 | ETputs(KTEPS) 1117.43\n",
            "Epoch 00135 | Time(s) 0.6978 | Loss 0.1461 | Accuracy 0.9505 | ETputs(KTEPS) 1117.50\n",
            "Epoch 00136 | Time(s) 0.6875 | Loss 0.1455 | Accuracy 0.9507 | ETputs(KTEPS) 1117.70\n",
            "Epoch 00137 | Time(s) 0.6888 | Loss 0.1449 | Accuracy 0.9510 | ETputs(KTEPS) 1117.88\n",
            "Epoch 00138 | Time(s) 0.6867 | Loss 0.1443 | Accuracy 0.9512 | ETputs(KTEPS) 1118.07\n",
            "Epoch 00139 | Time(s) 0.6961 | Loss 0.1437 | Accuracy 0.9515 | ETputs(KTEPS) 1118.16\n",
            "Epoch 00140 | Time(s) 0.6973 | Loss 0.1431 | Accuracy 0.9518 | ETputs(KTEPS) 1118.24\n",
            "Epoch 00141 | Time(s) 0.7070 | Loss 0.1426 | Accuracy 0.9520 | ETputs(KTEPS) 1118.20\n",
            "Epoch 00142 | Time(s) 0.7056 | Loss 0.1420 | Accuracy 0.9521 | ETputs(KTEPS) 1118.18\n",
            "Epoch 00143 | Time(s) 0.6906 | Loss 0.1414 | Accuracy 0.9524 | ETputs(KTEPS) 1118.33\n",
            "Epoch 00144 | Time(s) 0.6937 | Loss 0.1409 | Accuracy 0.9527 | ETputs(KTEPS) 1118.44\n",
            "Epoch 00145 | Time(s) 0.7048 | Loss 0.1403 | Accuracy 0.9529 | ETputs(KTEPS) 1118.43\n",
            "Epoch 00146 | Time(s) 0.6868 | Loss 0.1398 | Accuracy 0.9530 | ETputs(KTEPS) 1118.61\n",
            "Epoch 00147 | Time(s) 0.6881 | Loss 0.1393 | Accuracy 0.9533 | ETputs(KTEPS) 1118.78\n",
            "Epoch 00148 | Time(s) 0.6911 | Loss 0.1387 | Accuracy 0.9533 | ETputs(KTEPS) 1118.91\n",
            "Epoch 00149 | Time(s) 0.6915 | Loss 0.1382 | Accuracy 0.9536 | ETputs(KTEPS) 1119.04\n",
            "Epoch 00150 | Time(s) 0.6794 | Loss 0.1377 | Accuracy 0.9537 | ETputs(KTEPS) 1119.29\n",
            "Epoch 00151 | Time(s) 0.6967 | Loss 0.1371 | Accuracy 0.9540 | ETputs(KTEPS) 1119.36\n",
            "Epoch 00152 | Time(s) 0.6947 | Loss 0.1366 | Accuracy 0.9542 | ETputs(KTEPS) 1119.45\n",
            "Epoch 00153 | Time(s) 0.6910 | Loss 0.1361 | Accuracy 0.9543 | ETputs(KTEPS) 1119.57\n",
            "Epoch 00154 | Time(s) 0.6977 | Loss 0.1356 | Accuracy 0.9545 | ETputs(KTEPS) 1119.63\n",
            "Epoch 00155 | Time(s) 0.6918 | Loss 0.1351 | Accuracy 0.9546 | ETputs(KTEPS) 1119.74\n",
            "Epoch 00156 | Time(s) 0.6806 | Loss 0.1346 | Accuracy 0.9548 | ETputs(KTEPS) 1119.97\n",
            "Epoch 00157 | Time(s) 0.7093 | Loss 0.1341 | Accuracy 0.9549 | ETputs(KTEPS) 1119.90\n",
            "Epoch 00158 | Time(s) 0.6995 | Loss 0.1336 | Accuracy 0.9551 | ETputs(KTEPS) 1119.94\n",
            "Epoch 00159 | Time(s) 0.7056 | Loss 0.1331 | Accuracy 0.9553 | ETputs(KTEPS) 1119.91\n",
            "Epoch 00160 | Time(s) 0.6953 | Loss 0.1327 | Accuracy 0.9554 | ETputs(KTEPS) 1119.98\n",
            "Epoch 00161 | Time(s) 0.7573 | Loss 0.1322 | Accuracy 0.9556 | ETputs(KTEPS) 1119.45\n",
            "Epoch 00162 | Time(s) 0.6939 | Loss 0.1317 | Accuracy 0.9558 | ETputs(KTEPS) 1119.54\n",
            "Epoch 00163 | Time(s) 0.6851 | Loss 0.1312 | Accuracy 0.9560 | ETputs(KTEPS) 1119.71\n",
            "Epoch 00164 | Time(s) 0.6897 | Loss 0.1308 | Accuracy 0.9561 | ETputs(KTEPS) 1119.84\n",
            "Epoch 00165 | Time(s) 0.6947 | Loss 0.1303 | Accuracy 0.9563 | ETputs(KTEPS) 1119.92\n",
            "Epoch 00166 | Time(s) 0.6895 | Loss 0.1299 | Accuracy 0.9564 | ETputs(KTEPS) 1120.04\n",
            "Epoch 00167 | Time(s) 0.7039 | Loss 0.1294 | Accuracy 0.9567 | ETputs(KTEPS) 1120.03\n",
            "Epoch 00168 | Time(s) 0.7008 | Loss 0.1290 | Accuracy 0.9568 | ETputs(KTEPS) 1120.05\n",
            "Epoch 00169 | Time(s) 0.6875 | Loss 0.1285 | Accuracy 0.9570 | ETputs(KTEPS) 1120.19\n",
            "Epoch 00170 | Time(s) 0.6870 | Loss 0.1281 | Accuracy 0.9571 | ETputs(KTEPS) 1120.34\n",
            "Epoch 00171 | Time(s) 0.6790 | Loss 0.1277 | Accuracy 0.9573 | ETputs(KTEPS) 1120.56\n",
            "Epoch 00172 | Time(s) 0.6968 | Loss 0.1272 | Accuracy 0.9575 | ETputs(KTEPS) 1120.61\n",
            "Epoch 00173 | Time(s) 0.7064 | Loss 0.1268 | Accuracy 0.9577 | ETputs(KTEPS) 1120.57\n",
            "Epoch 00174 | Time(s) 0.6923 | Loss 0.1264 | Accuracy 0.9578 | ETputs(KTEPS) 1120.67\n",
            "Epoch 00175 | Time(s) 0.6965 | Loss 0.1259 | Accuracy 0.9579 | ETputs(KTEPS) 1120.72\n",
            "Epoch 00176 | Time(s) 0.6991 | Loss 0.1255 | Accuracy 0.9581 | ETputs(KTEPS) 1120.75\n",
            "Epoch 00177 | Time(s) 0.6898 | Loss 0.1251 | Accuracy 0.9583 | ETputs(KTEPS) 1120.86\n",
            "Epoch 00178 | Time(s) 0.7077 | Loss 0.1247 | Accuracy 0.9584 | ETputs(KTEPS) 1120.81\n",
            "Epoch 00179 | Time(s) 0.6934 | Loss 0.1243 | Accuracy 0.9586 | ETputs(KTEPS) 1120.89\n",
            "Epoch 00180 | Time(s) 0.6957 | Loss 0.1239 | Accuracy 0.9587 | ETputs(KTEPS) 1120.95\n",
            "Epoch 00181 | Time(s) 0.6946 | Loss 0.1235 | Accuracy 0.9588 | ETputs(KTEPS) 1121.02\n",
            "Epoch 00182 | Time(s) 0.7046 | Loss 0.1231 | Accuracy 0.9590 | ETputs(KTEPS) 1120.99\n",
            "Epoch 00183 | Time(s) 0.6783 | Loss 0.1227 | Accuracy 0.9592 | ETputs(KTEPS) 1121.20\n",
            "Epoch 00184 | Time(s) 0.6913 | Loss 0.1223 | Accuracy 0.9593 | ETputs(KTEPS) 1121.29\n",
            "Epoch 00185 | Time(s) 0.6954 | Loss 0.1219 | Accuracy 0.9596 | ETputs(KTEPS) 1121.35\n",
            "Epoch 00186 | Time(s) 0.6941 | Loss 0.1215 | Accuracy 0.9597 | ETputs(KTEPS) 1121.42\n",
            "Epoch 00187 | Time(s) 0.6921 | Loss 0.1211 | Accuracy 0.9597 | ETputs(KTEPS) 1121.50\n",
            "Epoch 00188 | Time(s) 0.6918 | Loss 0.1207 | Accuracy 0.9598 | ETputs(KTEPS) 1121.59\n",
            "Epoch 00189 | Time(s) 0.6936 | Loss 0.1203 | Accuracy 0.9599 | ETputs(KTEPS) 1121.65\n",
            "Epoch 00190 | Time(s) 0.6942 | Loss 0.1199 | Accuracy 0.9600 | ETputs(KTEPS) 1121.72\n",
            "Epoch 00191 | Time(s) 0.6910 | Loss 0.1196 | Accuracy 0.9600 | ETputs(KTEPS) 1121.81\n",
            "Epoch 00192 | Time(s) 0.6809 | Loss 0.1192 | Accuracy 0.9601 | ETputs(KTEPS) 1121.98\n",
            "Epoch 00193 | Time(s) 0.6866 | Loss 0.1188 | Accuracy 0.9602 | ETputs(KTEPS) 1122.10\n",
            "Epoch 00194 | Time(s) 0.7616 | Loss 0.1184 | Accuracy 0.9604 | ETputs(KTEPS) 1121.61\n",
            "Epoch 00195 | Time(s) 0.6924 | Loss 0.1181 | Accuracy 0.9605 | ETputs(KTEPS) 1121.69\n",
            "Epoch 00196 | Time(s) 0.7078 | Loss 0.1177 | Accuracy 0.9607 | ETputs(KTEPS) 1121.64\n",
            "Epoch 00197 | Time(s) 0.6924 | Loss 0.1173 | Accuracy 0.9608 | ETputs(KTEPS) 1121.71\n",
            "Epoch 00198 | Time(s) 0.6969 | Loss 0.1170 | Accuracy 0.9609 | ETputs(KTEPS) 1121.75\n",
            "Epoch 00199 | Time(s) 0.6869 | Loss 0.1166 | Accuracy 0.9611 | ETputs(KTEPS) 1121.87\n",
            "Epoch 00200 | Time(s) 0.6936 | Loss 0.1162 | Accuracy 0.9612 | ETputs(KTEPS) 1121.93\n",
            "Epoch 00201 | Time(s) 0.6907 | Loss 0.1159 | Accuracy 0.9614 | ETputs(KTEPS) 1122.02\n",
            "Epoch 00202 | Time(s) 0.7027 | Loss 0.1155 | Accuracy 0.9615 | ETputs(KTEPS) 1122.01\n",
            "Epoch 00203 | Time(s) 0.6909 | Loss 0.1152 | Accuracy 0.9616 | ETputs(KTEPS) 1122.09\n",
            "Epoch 00204 | Time(s) 0.6853 | Loss 0.1148 | Accuracy 0.9618 | ETputs(KTEPS) 1122.22\n",
            "Epoch 00205 | Time(s) 0.7036 | Loss 0.1145 | Accuracy 0.9619 | ETputs(KTEPS) 1122.20\n",
            "Epoch 00206 | Time(s) 0.6948 | Loss 0.1141 | Accuracy 0.9620 | ETputs(KTEPS) 1122.25\n",
            "Epoch 00207 | Time(s) 0.6855 | Loss 0.1138 | Accuracy 0.9621 | ETputs(KTEPS) 1122.37\n",
            "Epoch 00208 | Time(s) 0.7522 | Loss 0.1135 | Accuracy 0.9622 | ETputs(KTEPS) 1121.98\n",
            "Epoch 00209 | Time(s) 0.6871 | Loss 0.1131 | Accuracy 0.9623 | ETputs(KTEPS) 1122.09\n",
            "Epoch 00210 | Time(s) 0.6946 | Loss 0.1128 | Accuracy 0.9624 | ETputs(KTEPS) 1122.15\n",
            "Epoch 00211 | Time(s) 0.6911 | Loss 0.1125 | Accuracy 0.9626 | ETputs(KTEPS) 1122.22\n",
            "Epoch 00212 | Time(s) 0.6986 | Loss 0.1121 | Accuracy 0.9627 | ETputs(KTEPS) 1122.24\n",
            "Epoch 00213 | Time(s) 0.7264 | Loss 0.1118 | Accuracy 0.9628 | ETputs(KTEPS) 1122.06\n",
            "Epoch 00214 | Time(s) 0.6963 | Loss 0.1115 | Accuracy 0.9630 | ETputs(KTEPS) 1122.10\n",
            "Epoch 00215 | Time(s) 0.6893 | Loss 0.1112 | Accuracy 0.9630 | ETputs(KTEPS) 1122.19\n",
            "Epoch 00216 | Time(s) 0.6925 | Loss 0.1108 | Accuracy 0.9630 | ETputs(KTEPS) 1122.25\n",
            "Epoch 00217 | Time(s) 0.6936 | Loss 0.1105 | Accuracy 0.9632 | ETputs(KTEPS) 1122.31\n",
            "Epoch 00218 | Time(s) 0.6902 | Loss 0.1102 | Accuracy 0.9633 | ETputs(KTEPS) 1122.39\n",
            "Epoch 00219 | Time(s) 0.6936 | Loss 0.1099 | Accuracy 0.9634 | ETputs(KTEPS) 1122.45\n",
            "Epoch 00220 | Time(s) 0.6942 | Loss 0.1096 | Accuracy 0.9635 | ETputs(KTEPS) 1122.50\n",
            "Epoch 00221 | Time(s) 0.6918 | Loss 0.1093 | Accuracy 0.9637 | ETputs(KTEPS) 1122.56\n",
            "Epoch 00222 | Time(s) 0.7023 | Loss 0.1089 | Accuracy 0.9638 | ETputs(KTEPS) 1122.56\n",
            "Epoch 00223 | Time(s) 0.6928 | Loss 0.1086 | Accuracy 0.9640 | ETputs(KTEPS) 1122.62\n",
            "Epoch 00224 | Time(s) 0.6958 | Loss 0.1083 | Accuracy 0.9642 | ETputs(KTEPS) 1122.65\n",
            "Epoch 00225 | Time(s) 0.6968 | Loss 0.1080 | Accuracy 0.9642 | ETputs(KTEPS) 1122.69\n",
            "Epoch 00226 | Time(s) 0.6943 | Loss 0.1077 | Accuracy 0.9643 | ETputs(KTEPS) 1122.73\n",
            "Epoch 00227 | Time(s) 0.6810 | Loss 0.1074 | Accuracy 0.9645 | ETputs(KTEPS) 1122.87\n",
            "Epoch 00228 | Time(s) 0.6934 | Loss 0.1071 | Accuracy 0.9646 | ETputs(KTEPS) 1122.93\n",
            "Epoch 00229 | Time(s) 0.6928 | Loss 0.1068 | Accuracy 0.9647 | ETputs(KTEPS) 1122.98\n",
            "Epoch 00230 | Time(s) 0.6804 | Loss 0.1065 | Accuracy 0.9648 | ETputs(KTEPS) 1123.13\n",
            "Epoch 00231 | Time(s) 0.6897 | Loss 0.1062 | Accuracy 0.9649 | ETputs(KTEPS) 1123.20\n",
            "Epoch 00232 | Time(s) 0.6909 | Loss 0.1060 | Accuracy 0.9650 | ETputs(KTEPS) 1123.27\n",
            "Epoch 00233 | Time(s) 0.6964 | Loss 0.1057 | Accuracy 0.9651 | ETputs(KTEPS) 1123.30\n",
            "Epoch 00234 | Time(s) 0.6811 | Loss 0.1054 | Accuracy 0.9653 | ETputs(KTEPS) 1123.43\n",
            "Epoch 00235 | Time(s) 0.6985 | Loss 0.1051 | Accuracy 0.9654 | ETputs(KTEPS) 1123.45\n",
            "Epoch 00236 | Time(s) 0.6930 | Loss 0.1048 | Accuracy 0.9655 | ETputs(KTEPS) 1123.50\n",
            "Epoch 00237 | Time(s) 0.6945 | Loss 0.1045 | Accuracy 0.9656 | ETputs(KTEPS) 1123.54\n",
            "Epoch 00238 | Time(s) 0.6931 | Loss 0.1043 | Accuracy 0.9657 | ETputs(KTEPS) 1123.59\n",
            "Epoch 00239 | Time(s) 0.6957 | Loss 0.1040 | Accuracy 0.9659 | ETputs(KTEPS) 1123.62\n",
            "Epoch 00240 | Time(s) 0.6993 | Loss 0.1037 | Accuracy 0.9660 | ETputs(KTEPS) 1123.63\n",
            "Epoch 00241 | Time(s) 0.6957 | Loss 0.1034 | Accuracy 0.9661 | ETputs(KTEPS) 1123.66\n",
            "Epoch 00242 | Time(s) 0.6804 | Loss 0.1032 | Accuracy 0.9662 | ETputs(KTEPS) 1123.80\n",
            "Epoch 00243 | Time(s) 0.6795 | Loss 0.1029 | Accuracy 0.9663 | ETputs(KTEPS) 1123.93\n",
            "Epoch 00244 | Time(s) 0.6858 | Loss 0.1026 | Accuracy 0.9664 | ETputs(KTEPS) 1124.03\n",
            "Epoch 00245 | Time(s) 0.7731 | Loss 0.1024 | Accuracy 0.9666 | ETputs(KTEPS) 1123.55\n",
            "Epoch 00246 | Time(s) 0.6928 | Loss 0.1021 | Accuracy 0.9667 | ETputs(KTEPS) 1123.61\n",
            "Epoch 00247 | Time(s) 0.6922 | Loss 0.1018 | Accuracy 0.9668 | ETputs(KTEPS) 1123.66\n",
            "Epoch 00248 | Time(s) 0.6849 | Loss 0.1016 | Accuracy 0.9670 | ETputs(KTEPS) 1123.76\n",
            "Epoch 00249 | Time(s) 0.6884 | Loss 0.1013 | Accuracy 0.9670 | ETputs(KTEPS) 1123.84\n",
            "Epoch 00250 | Time(s) 0.6862 | Loss 0.1011 | Accuracy 0.9671 | ETputs(KTEPS) 1123.93\n",
            "Epoch 00251 | Time(s) 0.6971 | Loss 0.1008 | Accuracy 0.9672 | ETputs(KTEPS) 1123.95\n",
            "Epoch 00252 | Time(s) 0.6979 | Loss 0.1006 | Accuracy 0.9673 | ETputs(KTEPS) 1123.96\n",
            "Epoch 00253 | Time(s) 0.6934 | Loss 0.1003 | Accuracy 0.9672 | ETputs(KTEPS) 1124.01\n",
            "Epoch 00254 | Time(s) 0.6930 | Loss 0.1001 | Accuracy 0.9673 | ETputs(KTEPS) 1124.05\n",
            "Epoch 00255 | Time(s) 0.6928 | Loss 0.0999 | Accuracy 0.9672 | ETputs(KTEPS) 1124.10\n",
            "Epoch 00256 | Time(s) 0.6895 | Loss 0.0997 | Accuracy 0.9674 | ETputs(KTEPS) 1124.17\n",
            "Epoch 00257 | Time(s) 0.7002 | Loss 0.0994 | Accuracy 0.9675 | ETputs(KTEPS) 1124.17\n",
            "Epoch 00258 | Time(s) 0.6917 | Loss 0.0992 | Accuracy 0.9676 | ETputs(KTEPS) 1124.22\n",
            "Epoch 00259 | Time(s) 0.6899 | Loss 0.0989 | Accuracy 0.9678 | ETputs(KTEPS) 1124.28\n",
            "Epoch 00260 | Time(s) 0.6945 | Loss 0.0987 | Accuracy 0.9678 | ETputs(KTEPS) 1124.32\n",
            "Epoch 00261 | Time(s) 0.6947 | Loss 0.0984 | Accuracy 0.9679 | ETputs(KTEPS) 1124.35\n",
            "Epoch 00262 | Time(s) 0.6898 | Loss 0.0982 | Accuracy 0.9679 | ETputs(KTEPS) 1124.41\n",
            "Epoch 00263 | Time(s) 0.6968 | Loss 0.0979 | Accuracy 0.9680 | ETputs(KTEPS) 1124.43\n",
            "Epoch 00264 | Time(s) 0.6935 | Loss 0.0977 | Accuracy 0.9680 | ETputs(KTEPS) 1124.47\n",
            "Epoch 00265 | Time(s) 0.6868 | Loss 0.0974 | Accuracy 0.9682 | ETputs(KTEPS) 1124.55\n",
            "Epoch 00266 | Time(s) 0.6897 | Loss 0.0972 | Accuracy 0.9682 | ETputs(KTEPS) 1124.61\n",
            "Epoch 00267 | Time(s) 0.7025 | Loss 0.0970 | Accuracy 0.9685 | ETputs(KTEPS) 1124.60\n",
            "Epoch 00268 | Time(s) 0.6918 | Loss 0.0968 | Accuracy 0.9683 | ETputs(KTEPS) 1124.64\n",
            "Epoch 00269 | Time(s) 0.7102 | Loss 0.0966 | Accuracy 0.9682 | ETputs(KTEPS) 1124.58\n",
            "Epoch 00270 | Time(s) 0.6931 | Loss 0.0966 | Accuracy 0.9683 | ETputs(KTEPS) 1124.62\n",
            "Epoch 00271 | Time(s) 0.6893 | Loss 0.0969 | Accuracy 0.9677 | ETputs(KTEPS) 1124.69\n",
            "Epoch 00272 | Time(s) 0.6898 | Loss 0.0976 | Accuracy 0.9676 | ETputs(KTEPS) 1124.74\n",
            "Epoch 00273 | Time(s) 0.6894 | Loss 0.0989 | Accuracy 0.9662 | ETputs(KTEPS) 1124.81\n",
            "Epoch 00274 | Time(s) 0.6896 | Loss 0.1003 | Accuracy 0.9672 | ETputs(KTEPS) 1124.86\n",
            "Epoch 00275 | Time(s) 0.6887 | Loss 0.1009 | Accuracy 0.9668 | ETputs(KTEPS) 1124.93\n",
            "Epoch 00276 | Time(s) 0.6757 | Loss 0.0987 | Accuracy 0.9685 | ETputs(KTEPS) 1125.07\n",
            "Epoch 00277 | Time(s) 0.6782 | Loss 0.0957 | Accuracy 0.9689 | ETputs(KTEPS) 1125.19\n",
            "Epoch 00278 | Time(s) 0.7756 | Loss 0.0948 | Accuracy 0.9680 | ETputs(KTEPS) 1124.75\n",
            "Epoch 00279 | Time(s) 0.6904 | Loss 0.0964 | Accuracy 0.9679 | ETputs(KTEPS) 1124.81\n",
            "Epoch 00280 | Time(s) 0.6961 | Loss 0.0979 | Accuracy 0.9676 | ETputs(KTEPS) 1124.83\n",
            "Epoch 00281 | Time(s) 0.6878 | Loss 0.0970 | Accuracy 0.9689 | ETputs(KTEPS) 1124.90\n",
            "Epoch 00282 | Time(s) 0.6870 | Loss 0.0950 | Accuracy 0.9693 | ETputs(KTEPS) 1124.97\n",
            "Epoch 00283 | Time(s) 0.6913 | Loss 0.0936 | Accuracy 0.9686 | ETputs(KTEPS) 1125.02\n",
            "Epoch 00284 | Time(s) 0.6952 | Loss 0.0942 | Accuracy 0.9688 | ETputs(KTEPS) 1125.04\n",
            "Epoch 00285 | Time(s) 0.7040 | Loss 0.0953 | Accuracy 0.9686 | ETputs(KTEPS) 1125.02\n",
            "Epoch 00286 | Time(s) 0.6793 | Loss 0.0949 | Accuracy 0.9694 | ETputs(KTEPS) 1125.13\n",
            "Epoch 00287 | Time(s) 0.6903 | Loss 0.0935 | Accuracy 0.9695 | ETputs(KTEPS) 1125.18\n",
            "Epoch 00288 | Time(s) 0.7022 | Loss 0.0926 | Accuracy 0.9694 | ETputs(KTEPS) 1125.17\n",
            "Epoch 00289 | Time(s) 0.6939 | Loss 0.0927 | Accuracy 0.9695 | ETputs(KTEPS) 1125.20\n",
            "Epoch 00290 | Time(s) 0.7018 | Loss 0.0934 | Accuracy 0.9692 | ETputs(KTEPS) 1125.19\n",
            "Epoch 00291 | Time(s) 0.6953 | Loss 0.0935 | Accuracy 0.9696 | ETputs(KTEPS) 1125.21\n",
            "Epoch 00292 | Time(s) 0.7574 | Loss 0.0930 | Accuracy 0.9696 | ETputs(KTEPS) 1124.89\n",
            "Epoch 00293 | Time(s) 0.6960 | Loss 0.0921 | Accuracy 0.9698 | ETputs(KTEPS) 1124.91\n",
            "Epoch 00294 | Time(s) 0.6930 | Loss 0.0914 | Accuracy 0.9700 | ETputs(KTEPS) 1124.95\n",
            "Epoch 00295 | Time(s) 0.6889 | Loss 0.0913 | Accuracy 0.9700 | ETputs(KTEPS) 1125.01\n",
            "Epoch 00296 | Time(s) 0.6878 | Loss 0.0916 | Accuracy 0.9701 | ETputs(KTEPS) 1125.07\n",
            "Epoch 00297 | Time(s) 0.6928 | Loss 0.0919 | Accuracy 0.9696 | ETputs(KTEPS) 1125.11\n",
            "Epoch 00298 | Time(s) 0.6852 | Loss 0.0920 | Accuracy 0.9698 | ETputs(KTEPS) 1125.18\n",
            "Epoch 00299 | Time(s) 0.6932 | Loss 0.0919 | Accuracy 0.9698 | ETputs(KTEPS) 1125.22\n",
            "Epoch 00300 | Time(s) 0.6866 | Loss 0.0914 | Accuracy 0.9703 | ETputs(KTEPS) 1125.29\n",
            "Epoch 00301 | Time(s) 0.6807 | Loss 0.0909 | Accuracy 0.9703 | ETputs(KTEPS) 1125.39\n",
            "Epoch 00302 | Time(s) 0.6912 | Loss 0.0903 | Accuracy 0.9705 | ETputs(KTEPS) 1125.43\n",
            "Epoch 00303 | Time(s) 0.6831 | Loss 0.0898 | Accuracy 0.9706 | ETputs(KTEPS) 1125.52\n",
            "Epoch 00304 | Time(s) 0.6887 | Loss 0.0895 | Accuracy 0.9707 | ETputs(KTEPS) 1125.57\n",
            "Epoch 00305 | Time(s) 0.6838 | Loss 0.0894 | Accuracy 0.9707 | ETputs(KTEPS) 1125.65\n",
            "Epoch 00306 | Time(s) 0.6996 | Loss 0.0894 | Accuracy 0.9704 | ETputs(KTEPS) 1125.65\n",
            "Epoch 00307 | Time(s) 0.7011 | Loss 0.0896 | Accuracy 0.9704 | ETputs(KTEPS) 1125.64\n",
            "Epoch 00308 | Time(s) 0.6963 | Loss 0.0900 | Accuracy 0.9697 | ETputs(KTEPS) 1125.66\n",
            "Epoch 00309 | Time(s) 0.6829 | Loss 0.0909 | Accuracy 0.9698 | ETputs(KTEPS) 1125.74\n",
            "Epoch 00310 | Time(s) 0.7004 | Loss 0.0929 | Accuracy 0.9675 | ETputs(KTEPS) 1125.74\n",
            "Epoch 00311 | Time(s) 0.6907 | Loss 0.0958 | Accuracy 0.9663 | ETputs(KTEPS) 1125.78\n",
            "Epoch 00312 | Time(s) 0.6907 | Loss 0.1018 | Accuracy 0.9634 | ETputs(KTEPS) 1125.82\n",
            "Epoch 00313 | Time(s) 0.6956 | Loss 0.1051 | Accuracy 0.9645 | ETputs(KTEPS) 1125.84\n",
            "Epoch 00314 | Time(s) 0.6910 | Loss 0.1056 | Accuracy 0.9688 | ETputs(KTEPS) 1125.88\n",
            "Epoch 00315 | Time(s) 0.6870 | Loss 0.0923 | Accuracy 0.9695 | ETputs(KTEPS) 1125.95\n",
            "Epoch 00316 | Time(s) 0.6987 | Loss 0.0908 | Accuracy 0.9676 | ETputs(KTEPS) 1125.95\n",
            "Epoch 00317 | Time(s) 0.7008 | Loss 0.0987 | Accuracy 0.9690 | ETputs(KTEPS) 1125.94\n",
            "Epoch 00318 | Time(s) 0.6920 | Loss 0.0917 | Accuracy 0.9706 | ETputs(KTEPS) 1125.97\n",
            "Epoch 00319 | Time(s) 0.6925 | Loss 0.0884 | Accuracy 0.9693 | ETputs(KTEPS) 1126.01\n",
            "Epoch 00320 | Time(s) 0.6930 | Loss 0.0940 | Accuracy 0.9692 | ETputs(KTEPS) 1126.04\n",
            "Epoch 00321 | Time(s) 0.6935 | Loss 0.0910 | Accuracy 0.9713 | ETputs(KTEPS) 1126.07\n",
            "Epoch 00322 | Time(s) 0.6883 | Loss 0.0871 | Accuracy 0.9706 | ETputs(KTEPS) 1126.12\n",
            "Epoch 00323 | Time(s) 0.6917 | Loss 0.0901 | Accuracy 0.9696 | ETputs(KTEPS) 1126.16\n",
            "Epoch 00324 | Time(s) 0.6955 | Loss 0.0897 | Accuracy 0.9714 | ETputs(KTEPS) 1126.17\n",
            "Epoch 00325 | Time(s) 0.6894 | Loss 0.0866 | Accuracy 0.9714 | ETputs(KTEPS) 1126.22\n",
            "Epoch 00326 | Time(s) 0.6865 | Loss 0.0877 | Accuracy 0.9702 | ETputs(KTEPS) 1126.28\n",
            "Epoch 00327 | Time(s) 0.6849 | Loss 0.0886 | Accuracy 0.9718 | ETputs(KTEPS) 1126.35\n",
            "Epoch 00328 | Time(s) 0.6932 | Loss 0.0866 | Accuracy 0.9718 | ETputs(KTEPS) 1126.38\n",
            "Epoch 00329 | Time(s) 0.7724 | Loss 0.0860 | Accuracy 0.9709 | ETputs(KTEPS) 1126.02\n",
            "Epoch 00330 | Time(s) 0.6943 | Loss 0.0873 | Accuracy 0.9719 | ETputs(KTEPS) 1126.04\n",
            "Epoch 00331 | Time(s) 0.6903 | Loss 0.0871 | Accuracy 0.9718 | ETputs(KTEPS) 1126.08\n",
            "Epoch 00332 | Time(s) 0.6901 | Loss 0.0853 | Accuracy 0.9715 | ETputs(KTEPS) 1126.13\n",
            "Epoch 00333 | Time(s) 0.7043 | Loss 0.0855 | Accuracy 0.9720 | ETputs(KTEPS) 1126.10\n",
            "Epoch 00334 | Time(s) 0.7020 | Loss 0.0864 | Accuracy 0.9716 | ETputs(KTEPS) 1126.09\n",
            "Epoch 00335 | Time(s) 0.7087 | Loss 0.0857 | Accuracy 0.9721 | ETputs(KTEPS) 1126.04\n",
            "Epoch 00336 | Time(s) 0.6961 | Loss 0.0846 | Accuracy 0.9723 | ETputs(KTEPS) 1126.05\n",
            "Epoch 00337 | Time(s) 0.6915 | Loss 0.0847 | Accuracy 0.9716 | ETputs(KTEPS) 1126.09\n",
            "Epoch 00338 | Time(s) 0.6889 | Loss 0.0853 | Accuracy 0.9724 | ETputs(KTEPS) 1126.14\n",
            "Epoch 00339 | Time(s) 0.6937 | Loss 0.0849 | Accuracy 0.9722 | ETputs(KTEPS) 1126.16\n",
            "Epoch 00340 | Time(s) 0.6906 | Loss 0.0840 | Accuracy 0.9723 | ETputs(KTEPS) 1126.20\n",
            "Epoch 00341 | Time(s) 0.6919 | Loss 0.0839 | Accuracy 0.9725 | ETputs(KTEPS) 1126.23\n",
            "Epoch 00342 | Time(s) 0.7007 | Loss 0.0842 | Accuracy 0.9720 | ETputs(KTEPS) 1126.23\n",
            "Epoch 00343 | Time(s) 0.6886 | Loss 0.0842 | Accuracy 0.9728 | ETputs(KTEPS) 1126.27\n",
            "Epoch 00344 | Time(s) 0.6950 | Loss 0.0837 | Accuracy 0.9725 | ETputs(KTEPS) 1126.29\n",
            "Epoch 00345 | Time(s) 0.6972 | Loss 0.0832 | Accuracy 0.9725 | ETputs(KTEPS) 1126.30\n",
            "Epoch 00346 | Time(s) 0.6885 | Loss 0.0831 | Accuracy 0.9730 | ETputs(KTEPS) 1126.35\n",
            "Epoch 00347 | Time(s) 0.7022 | Loss 0.0832 | Accuracy 0.9722 | ETputs(KTEPS) 1126.33\n",
            "Epoch 00348 | Time(s) 0.6946 | Loss 0.0833 | Accuracy 0.9731 | ETputs(KTEPS) 1126.35\n",
            "Epoch 00349 | Time(s) 0.6913 | Loss 0.0831 | Accuracy 0.9726 | ETputs(KTEPS) 1126.39\n",
            "Epoch 00350 | Time(s) 0.7026 | Loss 0.0827 | Accuracy 0.9729 | ETputs(KTEPS) 1126.37\n",
            "Epoch 00351 | Time(s) 0.6872 | Loss 0.0823 | Accuracy 0.9728 | ETputs(KTEPS) 1126.42\n",
            "Epoch 00352 | Time(s) 0.6876 | Loss 0.0822 | Accuracy 0.9728 | ETputs(KTEPS) 1126.47\n",
            "Epoch 00353 | Time(s) 0.6966 | Loss 0.0821 | Accuracy 0.9732 | ETputs(KTEPS) 1126.48\n",
            "Epoch 00354 | Time(s) 0.7123 | Loss 0.0822 | Accuracy 0.9726 | ETputs(KTEPS) 1126.42\n",
            "Epoch 00355 | Time(s) 0.6962 | Loss 0.0822 | Accuracy 0.9733 | ETputs(KTEPS) 1126.43\n",
            "Epoch 00356 | Time(s) 0.6892 | Loss 0.0822 | Accuracy 0.9726 | ETputs(KTEPS) 1126.47\n",
            "Epoch 00357 | Time(s) 0.6898 | Loss 0.0820 | Accuracy 0.9734 | ETputs(KTEPS) 1126.52\n",
            "Epoch 00358 | Time(s) 0.6824 | Loss 0.0819 | Accuracy 0.9727 | ETputs(KTEPS) 1126.59\n",
            "Epoch 00359 | Time(s) 0.6840 | Loss 0.0817 | Accuracy 0.9734 | ETputs(KTEPS) 1126.65\n",
            "Epoch 00360 | Time(s) 0.6919 | Loss 0.0815 | Accuracy 0.9729 | ETputs(KTEPS) 1126.68\n",
            "Epoch 00361 | Time(s) 0.6896 | Loss 0.0814 | Accuracy 0.9734 | ETputs(KTEPS) 1126.72\n",
            "Epoch 00362 | Time(s) 0.7739 | Loss 0.0813 | Accuracy 0.9731 | ETputs(KTEPS) 1126.39\n",
            "Epoch 00363 | Time(s) 0.7038 | Loss 0.0812 | Accuracy 0.9735 | ETputs(KTEPS) 1126.37\n",
            "Epoch 00364 | Time(s) 0.6894 | Loss 0.0813 | Accuracy 0.9727 | ETputs(KTEPS) 1126.41\n",
            "Epoch 00365 | Time(s) 0.6966 | Loss 0.0815 | Accuracy 0.9732 | ETputs(KTEPS) 1126.42\n",
            "Epoch 00366 | Time(s) 0.6903 | Loss 0.0822 | Accuracy 0.9718 | ETputs(KTEPS) 1126.46\n",
            "Epoch 00367 | Time(s) 0.6936 | Loss 0.0834 | Accuracy 0.9716 | ETputs(KTEPS) 1126.48\n",
            "Epoch 00368 | Time(s) 0.6921 | Loss 0.0865 | Accuracy 0.9683 | ETputs(KTEPS) 1126.51\n",
            "Epoch 00369 | Time(s) 0.6803 | Loss 0.0909 | Accuracy 0.9654 | ETputs(KTEPS) 1126.59\n",
            "Epoch 00370 | Time(s) 0.7143 | Loss 0.1024 | Accuracy 0.9572 | ETputs(KTEPS) 1126.52\n",
            "Epoch 00371 | Time(s) 0.6919 | Loss 0.1147 | Accuracy 0.9510 | ETputs(KTEPS) 1126.55\n",
            "Epoch 00372 | Time(s) 0.7085 | Loss 0.1388 | Accuracy 0.9568 | ETputs(KTEPS) 1126.51\n",
            "Epoch 00373 | Time(s) 0.6860 | Loss 0.1166 | Accuracy 0.9711 | ETputs(KTEPS) 1126.56\n",
            "Epoch 00374 | Time(s) 0.6924 | Loss 0.0858 | Accuracy 0.9645 | ETputs(KTEPS) 1126.59\n",
            "Epoch 00375 | Time(s) 0.6884 | Loss 0.1046 | Accuracy 0.9709 | ETputs(KTEPS) 1126.63\n",
            "Epoch 00376 | Time(s) 0.7618 | Loss 0.0856 | Accuracy 0.9652 | ETputs(KTEPS) 1126.36\n",
            "Epoch 00377 | Time(s) 0.6891 | Loss 0.0989 | Accuracy 0.9687 | ETputs(KTEPS) 1126.40\n",
            "Epoch 00378 | Time(s) 0.6870 | Loss 0.0947 | Accuracy 0.9710 | ETputs(KTEPS) 1126.45\n",
            "Epoch 00379 | Time(s) 0.6911 | Loss 0.0887 | Accuracy 0.9663 | ETputs(KTEPS) 1126.49\n",
            "Epoch 00380 | Time(s) 0.6896 | Loss 0.0959 | Accuracy 0.9716 | ETputs(KTEPS) 1126.53\n",
            "Epoch 00381 | Time(s) 0.6931 | Loss 0.0830 | Accuracy 0.9696 | ETputs(KTEPS) 1126.55\n",
            "Epoch 00382 | Time(s) 0.7013 | Loss 0.0917 | Accuracy 0.9728 | ETputs(KTEPS) 1126.54\n",
            "Epoch 00383 | Time(s) 0.6899 | Loss 0.0814 | Accuracy 0.9686 | ETputs(KTEPS) 1126.58\n",
            "Epoch 00384 | Time(s) 0.6896 | Loss 0.0906 | Accuracy 0.9731 | ETputs(KTEPS) 1126.61\n",
            "Epoch 00385 | Time(s) 0.6966 | Loss 0.0816 | Accuracy 0.9711 | ETputs(KTEPS) 1126.62\n",
            "Epoch 00386 | Time(s) 0.6867 | Loss 0.0864 | Accuracy 0.9725 | ETputs(KTEPS) 1126.67\n",
            "Epoch 00387 | Time(s) 0.6925 | Loss 0.0813 | Accuracy 0.9711 | ETputs(KTEPS) 1126.70\n",
            "Epoch 00388 | Time(s) 0.7007 | Loss 0.0841 | Accuracy 0.9727 | ETputs(KTEPS) 1126.69\n",
            "Epoch 00389 | Time(s) 0.6917 | Loss 0.0823 | Accuracy 0.9733 | ETputs(KTEPS) 1126.72\n",
            "Epoch 00390 | Time(s) 0.7035 | Loss 0.0811 | Accuracy 0.9715 | ETputs(KTEPS) 1126.70\n",
            "Epoch 00391 | Time(s) 0.6870 | Loss 0.0827 | Accuracy 0.9731 | ETputs(KTEPS) 1126.75\n",
            "Epoch 00392 | Time(s) 0.6917 | Loss 0.0790 | Accuracy 0.9730 | ETputs(KTEPS) 1126.77\n",
            "Epoch 00393 | Time(s) 0.6951 | Loss 0.0818 | Accuracy 0.9736 | ETputs(KTEPS) 1126.79\n",
            "Epoch 00394 | Time(s) 0.6868 | Loss 0.0782 | Accuracy 0.9727 | ETputs(KTEPS) 1126.84\n",
            "Epoch 00395 | Time(s) 0.6797 | Loss 0.0811 | Accuracy 0.9737 | ETputs(KTEPS) 1126.91\n",
            "Epoch 00396 | Time(s) 0.6949 | Loss 0.0783 | Accuracy 0.9739 | ETputs(KTEPS) 1126.93\n",
            "Epoch 00397 | Time(s) 0.6921 | Loss 0.0794 | Accuracy 0.9737 | ETputs(KTEPS) 1126.95\n",
            "Epoch 00398 | Time(s) 0.6815 | Loss 0.0785 | Accuracy 0.9740 | ETputs(KTEPS) 1127.02\n",
            "Epoch 00399 | Time(s) 0.6922 | Loss 0.0779 | Accuracy 0.9739 | ETputs(KTEPS) 1127.05\n",
            "Epoch 00400 | Time(s) 0.6991 | Loss 0.0787 | Accuracy 0.9743 | ETputs(KTEPS) 1127.04\n",
            "Epoch 00401 | Time(s) 0.6892 | Loss 0.0769 | Accuracy 0.9736 | ETputs(KTEPS) 1127.08\n",
            "Epoch 00402 | Time(s) 0.7044 | Loss 0.0784 | Accuracy 0.9742 | ETputs(KTEPS) 1127.06\n",
            "Epoch 00403 | Time(s) 0.6899 | Loss 0.0769 | Accuracy 0.9742 | ETputs(KTEPS) 1127.09\n",
            "Epoch 00404 | Time(s) 0.6935 | Loss 0.0772 | Accuracy 0.9741 | ETputs(KTEPS) 1127.11\n",
            "Epoch 00405 | Time(s) 0.6864 | Loss 0.0771 | Accuracy 0.9745 | ETputs(KTEPS) 1127.16\n",
            "Epoch 00406 | Time(s) 0.6889 | Loss 0.0763 | Accuracy 0.9744 | ETputs(KTEPS) 1127.19\n",
            "Epoch 00407 | Time(s) 0.6942 | Loss 0.0769 | Accuracy 0.9745 | ETputs(KTEPS) 1127.21\n",
            "Epoch 00408 | Time(s) 0.6739 | Loss 0.0759 | Accuracy 0.9743 | ETputs(KTEPS) 1127.31\n",
            "Epoch 00409 | Time(s) 0.6956 | Loss 0.0763 | Accuracy 0.9746 | ETputs(KTEPS) 1127.32\n",
            "Epoch 00410 | Time(s) 0.6823 | Loss 0.0761 | Accuracy 0.9746 | ETputs(KTEPS) 1127.38\n",
            "Epoch 00411 | Time(s) 0.6932 | Loss 0.0755 | Accuracy 0.9743 | ETputs(KTEPS) 1127.40\n",
            "Epoch 00412 | Time(s) 0.7009 | Loss 0.0760 | Accuracy 0.9748 | ETputs(KTEPS) 1127.39\n",
            "Epoch 00413 | Time(s) 0.7569 | Loss 0.0753 | Accuracy 0.9748 | ETputs(KTEPS) 1127.16\n",
            "Epoch 00414 | Time(s) 0.6908 | Loss 0.0753 | Accuracy 0.9744 | ETputs(KTEPS) 1127.19\n",
            "Epoch 00415 | Time(s) 0.6964 | Loss 0.0754 | Accuracy 0.9748 | ETputs(KTEPS) 1127.20\n",
            "Epoch 00416 | Time(s) 0.6968 | Loss 0.0749 | Accuracy 0.9750 | ETputs(KTEPS) 1127.20\n",
            "Epoch 00417 | Time(s) 0.6814 | Loss 0.0750 | Accuracy 0.9746 | ETputs(KTEPS) 1127.27\n",
            "Epoch 00418 | Time(s) 0.6971 | Loss 0.0748 | Accuracy 0.9748 | ETputs(KTEPS) 1127.27\n",
            "Epoch 00419 | Time(s) 0.6852 | Loss 0.0745 | Accuracy 0.9751 | ETputs(KTEPS) 1127.32\n",
            "Epoch 00420 | Time(s) 0.6937 | Loss 0.0746 | Accuracy 0.9747 | ETputs(KTEPS) 1127.34\n",
            "Epoch 00421 | Time(s) 0.6879 | Loss 0.0744 | Accuracy 0.9749 | ETputs(KTEPS) 1127.38\n",
            "Epoch 00422 | Time(s) 0.6873 | Loss 0.0742 | Accuracy 0.9752 | ETputs(KTEPS) 1127.42\n",
            "Epoch 00423 | Time(s) 0.6757 | Loss 0.0742 | Accuracy 0.9750 | ETputs(KTEPS) 1127.51\n",
            "Epoch 00424 | Time(s) 0.6907 | Loss 0.0740 | Accuracy 0.9751 | ETputs(KTEPS) 1127.53\n",
            "Epoch 00425 | Time(s) 0.7024 | Loss 0.0738 | Accuracy 0.9753 | ETputs(KTEPS) 1127.52\n",
            "Epoch 00426 | Time(s) 0.6922 | Loss 0.0738 | Accuracy 0.9751 | ETputs(KTEPS) 1127.54\n",
            "Epoch 00427 | Time(s) 0.6908 | Loss 0.0736 | Accuracy 0.9751 | ETputs(KTEPS) 1127.57\n",
            "Epoch 00428 | Time(s) 0.7078 | Loss 0.0735 | Accuracy 0.9753 | ETputs(KTEPS) 1127.53\n",
            "Epoch 00429 | Time(s) 0.7079 | Loss 0.0735 | Accuracy 0.9753 | ETputs(KTEPS) 1127.49\n",
            "Epoch 00430 | Time(s) 0.6950 | Loss 0.0733 | Accuracy 0.9754 | ETputs(KTEPS) 1127.50\n",
            "Epoch 00431 | Time(s) 0.7087 | Loss 0.0731 | Accuracy 0.9754 | ETputs(KTEPS) 1127.46\n",
            "Epoch 00432 | Time(s) 0.6894 | Loss 0.0731 | Accuracy 0.9753 | ETputs(KTEPS) 1127.50\n",
            "Epoch 00433 | Time(s) 0.7016 | Loss 0.0730 | Accuracy 0.9753 | ETputs(KTEPS) 1127.48\n",
            "Epoch 00434 | Time(s) 0.6904 | Loss 0.0728 | Accuracy 0.9754 | ETputs(KTEPS) 1127.51\n",
            "Epoch 00435 | Time(s) 0.6906 | Loss 0.0727 | Accuracy 0.9755 | ETputs(KTEPS) 1127.54\n",
            "Epoch 00436 | Time(s) 0.6891 | Loss 0.0726 | Accuracy 0.9755 | ETputs(KTEPS) 1127.57\n",
            "Epoch 00437 | Time(s) 0.6968 | Loss 0.0725 | Accuracy 0.9755 | ETputs(KTEPS) 1127.58\n",
            "Epoch 00438 | Time(s) 0.6769 | Loss 0.0724 | Accuracy 0.9755 | ETputs(KTEPS) 1127.66\n",
            "Epoch 00439 | Time(s) 0.6931 | Loss 0.0723 | Accuracy 0.9756 | ETputs(KTEPS) 1127.67\n",
            "Epoch 00440 | Time(s) 0.6909 | Loss 0.0722 | Accuracy 0.9755 | ETputs(KTEPS) 1127.70\n",
            "Epoch 00441 | Time(s) 0.6917 | Loss 0.0720 | Accuracy 0.9756 | ETputs(KTEPS) 1127.72\n",
            "Epoch 00442 | Time(s) 0.6904 | Loss 0.0719 | Accuracy 0.9757 | ETputs(KTEPS) 1127.75\n",
            "Epoch 00443 | Time(s) 0.6857 | Loss 0.0718 | Accuracy 0.9756 | ETputs(KTEPS) 1127.80\n",
            "Epoch 00444 | Time(s) 0.6941 | Loss 0.0717 | Accuracy 0.9757 | ETputs(KTEPS) 1127.81\n",
            "Epoch 00445 | Time(s) 0.6910 | Loss 0.0716 | Accuracy 0.9757 | ETputs(KTEPS) 1127.83\n",
            "Epoch 00446 | Time(s) 0.7713 | Loss 0.0715 | Accuracy 0.9757 | ETputs(KTEPS) 1127.57\n",
            "Epoch 00447 | Time(s) 0.7081 | Loss 0.0714 | Accuracy 0.9758 | ETputs(KTEPS) 1127.53\n",
            "Epoch 00448 | Time(s) 0.6966 | Loss 0.0713 | Accuracy 0.9757 | ETputs(KTEPS) 1127.54\n",
            "Epoch 00449 | Time(s) 0.6906 | Loss 0.0712 | Accuracy 0.9759 | ETputs(KTEPS) 1127.57\n",
            "Epoch 00450 | Time(s) 0.6912 | Loss 0.0711 | Accuracy 0.9759 | ETputs(KTEPS) 1127.59\n",
            "Epoch 00451 | Time(s) 0.6980 | Loss 0.0710 | Accuracy 0.9759 | ETputs(KTEPS) 1127.59\n",
            "Epoch 00452 | Time(s) 0.6749 | Loss 0.0709 | Accuracy 0.9759 | ETputs(KTEPS) 1127.67\n",
            "Epoch 00453 | Time(s) 0.6881 | Loss 0.0708 | Accuracy 0.9759 | ETputs(KTEPS) 1127.71\n",
            "Epoch 00454 | Time(s) 0.6874 | Loss 0.0707 | Accuracy 0.9760 | ETputs(KTEPS) 1127.75\n",
            "Epoch 00455 | Time(s) 0.6991 | Loss 0.0706 | Accuracy 0.9760 | ETputs(KTEPS) 1127.74\n",
            "Epoch 00456 | Time(s) 0.6942 | Loss 0.0705 | Accuracy 0.9760 | ETputs(KTEPS) 1127.76\n",
            "Epoch 00457 | Time(s) 0.6993 | Loss 0.0704 | Accuracy 0.9760 | ETputs(KTEPS) 1127.75\n",
            "Epoch 00458 | Time(s) 0.6923 | Loss 0.0703 | Accuracy 0.9760 | ETputs(KTEPS) 1127.77\n",
            "Epoch 00459 | Time(s) 0.6935 | Loss 0.0702 | Accuracy 0.9761 | ETputs(KTEPS) 1127.79\n",
            "Epoch 00460 | Time(s) 0.7604 | Loss 0.0701 | Accuracy 0.9761 | ETputs(KTEPS) 1127.57\n",
            "Epoch 00461 | Time(s) 0.6857 | Loss 0.0700 | Accuracy 0.9760 | ETputs(KTEPS) 1127.61\n",
            "Epoch 00462 | Time(s) 0.6930 | Loss 0.0699 | Accuracy 0.9762 | ETputs(KTEPS) 1127.63\n",
            "Epoch 00463 | Time(s) 0.6878 | Loss 0.0698 | Accuracy 0.9761 | ETputs(KTEPS) 1127.66\n",
            "Epoch 00464 | Time(s) 0.6917 | Loss 0.0697 | Accuracy 0.9762 | ETputs(KTEPS) 1127.68\n",
            "Epoch 00465 | Time(s) 0.6981 | Loss 0.0696 | Accuracy 0.9762 | ETputs(KTEPS) 1127.68\n",
            "Epoch 00466 | Time(s) 0.7010 | Loss 0.0695 | Accuracy 0.9762 | ETputs(KTEPS) 1127.67\n",
            "Epoch 00467 | Time(s) 0.7045 | Loss 0.0695 | Accuracy 0.9762 | ETputs(KTEPS) 1127.65\n",
            "Epoch 00468 | Time(s) 0.6885 | Loss 0.0695 | Accuracy 0.9762 | ETputs(KTEPS) 1127.68\n",
            "Epoch 00469 | Time(s) 0.6912 | Loss 0.0695 | Accuracy 0.9762 | ETputs(KTEPS) 1127.71\n",
            "Epoch 00470 | Time(s) 0.6863 | Loss 0.0695 | Accuracy 0.9761 | ETputs(KTEPS) 1127.75\n",
            "Epoch 00471 | Time(s) 0.6978 | Loss 0.0696 | Accuracy 0.9762 | ETputs(KTEPS) 1127.75\n",
            "Epoch 00472 | Time(s) 0.6821 | Loss 0.0699 | Accuracy 0.9756 | ETputs(KTEPS) 1127.80\n",
            "Epoch 00473 | Time(s) 0.6917 | Loss 0.0703 | Accuracy 0.9759 | ETputs(KTEPS) 1127.82\n",
            "Epoch 00474 | Time(s) 0.7021 | Loss 0.0712 | Accuracy 0.9748 | ETputs(KTEPS) 1127.81\n",
            "Epoch 00475 | Time(s) 0.6858 | Loss 0.0722 | Accuracy 0.9748 | ETputs(KTEPS) 1127.85\n",
            "Epoch 00476 | Time(s) 0.6940 | Loss 0.0744 | Accuracy 0.9733 | ETputs(KTEPS) 1127.86\n",
            "Epoch 00477 | Time(s) 0.6892 | Loss 0.0760 | Accuracy 0.9727 | ETputs(KTEPS) 1127.89\n",
            "Epoch 00478 | Time(s) 0.6829 | Loss 0.0801 | Accuracy 0.9711 | ETputs(KTEPS) 1127.94\n",
            "Epoch 00479 | Time(s) 0.6887 | Loss 0.0809 | Accuracy 0.9719 | ETputs(KTEPS) 1127.97\n",
            "Epoch 00480 | Time(s) 0.6928 | Loss 0.0824 | Accuracy 0.9740 | ETputs(KTEPS) 1127.99\n",
            "Epoch 00481 | Time(s) 0.7096 | Loss 0.0741 | Accuracy 0.9764 | ETputs(KTEPS) 1127.95\n",
            "Epoch 00482 | Time(s) 0.6922 | Loss 0.0687 | Accuracy 0.9755 | ETputs(KTEPS) 1127.97\n",
            "Epoch 00483 | Time(s) 0.6962 | Loss 0.0721 | Accuracy 0.9739 | ETputs(KTEPS) 1127.98\n",
            "Epoch 00484 | Time(s) 0.7014 | Loss 0.0741 | Accuracy 0.9757 | ETputs(KTEPS) 1127.96\n",
            "Epoch 00485 | Time(s) 0.7049 | Loss 0.0716 | Accuracy 0.9764 | ETputs(KTEPS) 1127.94\n",
            "Epoch 00486 | Time(s) 0.6936 | Loss 0.0681 | Accuracy 0.9753 | ETputs(KTEPS) 1127.95\n",
            "Epoch 00487 | Time(s) 0.6966 | Loss 0.0703 | Accuracy 0.9750 | ETputs(KTEPS) 1127.96\n",
            "Epoch 00488 | Time(s) 0.6751 | Loss 0.0730 | Accuracy 0.9755 | ETputs(KTEPS) 1128.03\n",
            "Epoch 00489 | Time(s) 0.6962 | Loss 0.0702 | Accuracy 0.9766 | ETputs(KTEPS) 1128.04\n",
            "Epoch 00490 | Time(s) 0.6939 | Loss 0.0676 | Accuracy 0.9765 | ETputs(KTEPS) 1128.05\n",
            "Epoch 00491 | Time(s) 0.6775 | Loss 0.0687 | Accuracy 0.9753 | ETputs(KTEPS) 1128.12\n",
            "Epoch 00492 | Time(s) 0.6951 | Loss 0.0700 | Accuracy 0.9764 | ETputs(KTEPS) 1128.13\n",
            "Epoch 00493 | Time(s) 0.7034 | Loss 0.0693 | Accuracy 0.9766 | ETputs(KTEPS) 1128.11\n",
            "Epoch 00494 | Time(s) 0.6906 | Loss 0.0672 | Accuracy 0.9766 | ETputs(KTEPS) 1128.13\n",
            "Epoch 00495 | Time(s) 0.6882 | Loss 0.0672 | Accuracy 0.9765 | ETputs(KTEPS) 1128.16\n",
            "Epoch 00496 | Time(s) 0.6910 | Loss 0.0685 | Accuracy 0.9759 | ETputs(KTEPS) 1128.18\n",
            "Epoch 00497 | Time(s) 0.7573 | Loss 0.0684 | Accuracy 0.9769 | ETputs(KTEPS) 1127.99\n",
            "Epoch 00498 | Time(s) 0.6866 | Loss 0.0673 | Accuracy 0.9769 | ETputs(KTEPS) 1128.03\n",
            "Epoch 00499 | Time(s) 0.6823 | Loss 0.0664 | Accuracy 0.9768 | ETputs(KTEPS) 1128.08\n",
            "Epoch 00500 | Time(s) 0.6988 | Loss 0.0667 | Accuracy 0.9768 | ETputs(KTEPS) 1128.07\n",
            "Epoch 00501 | Time(s) 0.6961 | Loss 0.0674 | Accuracy 0.9764 | ETputs(KTEPS) 1128.08\n",
            "Epoch 00502 | Time(s) 0.6976 | Loss 0.0673 | Accuracy 0.9770 | ETputs(KTEPS) 1128.08\n",
            "Epoch 00503 | Time(s) 0.6958 | Loss 0.0668 | Accuracy 0.9770 | ETputs(KTEPS) 1128.08\n",
            "Epoch 00504 | Time(s) 0.6958 | Loss 0.0660 | Accuracy 0.9770 | ETputs(KTEPS) 1128.09\n",
            "Epoch 00505 | Time(s) 0.6910 | Loss 0.0658 | Accuracy 0.9772 | ETputs(KTEPS) 1128.11\n",
            "Epoch 00506 | Time(s) 0.6836 | Loss 0.0660 | Accuracy 0.9769 | ETputs(KTEPS) 1128.16\n",
            "Epoch 00507 | Time(s) 0.6944 | Loss 0.0663 | Accuracy 0.9771 | ETputs(KTEPS) 1128.17\n",
            "Epoch 00508 | Time(s) 0.6944 | Loss 0.0665 | Accuracy 0.9768 | ETputs(KTEPS) 1128.18\n",
            "Epoch 00509 | Time(s) 0.6777 | Loss 0.0662 | Accuracy 0.9772 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00510 | Time(s) 0.6905 | Loss 0.0659 | Accuracy 0.9769 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00511 | Time(s) 0.6950 | Loss 0.0654 | Accuracy 0.9773 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00512 | Time(s) 0.6905 | Loss 0.0651 | Accuracy 0.9774 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00513 | Time(s) 0.6972 | Loss 0.0650 | Accuracy 0.9771 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00514 | Time(s) 0.6953 | Loss 0.0650 | Accuracy 0.9774 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00515 | Time(s) 0.6919 | Loss 0.0651 | Accuracy 0.9771 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00516 | Time(s) 0.6883 | Loss 0.0653 | Accuracy 0.9773 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00517 | Time(s) 0.6990 | Loss 0.0657 | Accuracy 0.9767 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00518 | Time(s) 0.6836 | Loss 0.0662 | Accuracy 0.9768 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00519 | Time(s) 0.6882 | Loss 0.0676 | Accuracy 0.9752 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00520 | Time(s) 0.6874 | Loss 0.0694 | Accuracy 0.9742 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00521 | Time(s) 0.7108 | Loss 0.0747 | Accuracy 0.9697 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00522 | Time(s) 0.6995 | Loss 0.0823 | Accuracy 0.9590 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00523 | Time(s) 0.6958 | Loss 0.1158 | Accuracy 0.8977 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00524 | Time(s) 0.6908 | Loss 0.2617 | Accuracy 0.6778 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00525 | Time(s) 0.6902 | Loss 1.2550 | Accuracy 0.5590 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00526 | Time(s) 0.6828 | Loss 2.3571 | Accuracy 0.7134 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00527 | Time(s) 0.7023 | Loss 0.9797 | Accuracy 0.6079 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00528 | Time(s) 0.6923 | Loss 1.5289 | Accuracy 0.6613 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00529 | Time(s) 0.6924 | Loss 3.6820 | Accuracy 0.8787 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00530 | Time(s) 0.7910 | Loss 0.4878 | Accuracy 0.4777 | ETputs(KTEPS) 1128.23\n",
            "Epoch 00531 | Time(s) 0.7023 | Loss 5.7633 | Accuracy 0.8370 | ETputs(KTEPS) 1128.21\n",
            "Epoch 00532 | Time(s) 0.6962 | Loss 0.7831 | Accuracy 0.7450 | ETputs(KTEPS) 1128.22\n",
            "Epoch 00533 | Time(s) 0.6920 | Loss 2.1545 | Accuracy 0.8030 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00534 | Time(s) 0.7021 | Loss 1.4217 | Accuracy 0.8334 | ETputs(KTEPS) 1128.22\n",
            "Epoch 00535 | Time(s) 0.6941 | Loss 0.9889 | Accuracy 0.7710 | ETputs(KTEPS) 1128.23\n",
            "Epoch 00536 | Time(s) 0.6939 | Loss 1.5555 | Accuracy 0.8829 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00537 | Time(s) 0.6939 | Loss 0.5351 | Accuracy 0.8437 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00538 | Time(s) 0.6954 | Loss 0.8488 | Accuracy 0.8436 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00539 | Time(s) 0.6945 | Loss 0.8383 | Accuracy 0.8928 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00540 | Time(s) 0.7020 | Loss 0.4612 | Accuracy 0.8571 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00541 | Time(s) 0.6974 | Loss 0.4857 | Accuracy 0.8192 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00542 | Time(s) 0.6936 | Loss 0.6434 | Accuracy 0.8723 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00543 | Time(s) 0.6947 | Loss 0.3886 | Accuracy 0.8915 | ETputs(KTEPS) 1128.28\n",
            "Epoch 00544 | Time(s) 0.7606 | Loss 0.3341 | Accuracy 0.8593 | ETputs(KTEPS) 1128.09\n",
            "Epoch 00545 | Time(s) 0.6815 | Loss 0.4493 | Accuracy 0.8576 | ETputs(KTEPS) 1128.14\n",
            "Epoch 00546 | Time(s) 0.6932 | Loss 0.4330 | Accuracy 0.8893 | ETputs(KTEPS) 1128.16\n",
            "Epoch 00547 | Time(s) 0.6918 | Loss 0.3119 | Accuracy 0.9015 | ETputs(KTEPS) 1128.17\n",
            "Epoch 00548 | Time(s) 0.6932 | Loss 0.2659 | Accuracy 0.8768 | ETputs(KTEPS) 1128.19\n",
            "Epoch 00549 | Time(s) 0.6885 | Loss 0.3230 | Accuracy 0.8682 | ETputs(KTEPS) 1128.21\n",
            "Epoch 00550 | Time(s) 0.6788 | Loss 0.3335 | Accuracy 0.8951 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00551 | Time(s) 0.6986 | Loss 0.2629 | Accuracy 0.9171 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00552 | Time(s) 0.6954 | Loss 0.2291 | Accuracy 0.9108 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00553 | Time(s) 0.6906 | Loss 0.2454 | Accuracy 0.9009 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00554 | Time(s) 0.6884 | Loss 0.2643 | Accuracy 0.9016 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00555 | Time(s) 0.6876 | Loss 0.2625 | Accuracy 0.9076 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00556 | Time(s) 0.7032 | Loss 0.2438 | Accuracy 0.9140 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00557 | Time(s) 0.6940 | Loss 0.2260 | Accuracy 0.9170 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00558 | Time(s) 0.6934 | Loss 0.2223 | Accuracy 0.9109 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00559 | Time(s) 0.6998 | Loss 0.2313 | Accuracy 0.9058 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00560 | Time(s) 0.6921 | Loss 0.2392 | Accuracy 0.9076 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00561 | Time(s) 0.6931 | Loss 0.2355 | Accuracy 0.9149 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00562 | Time(s) 0.6833 | Loss 0.2236 | Accuracy 0.9219 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00563 | Time(s) 0.6938 | Loss 0.2137 | Accuracy 0.9249 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00564 | Time(s) 0.6909 | Loss 0.2115 | Accuracy 0.9236 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00565 | Time(s) 0.6886 | Loss 0.2148 | Accuracy 0.9219 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00566 | Time(s) 0.7137 | Loss 0.2181 | Accuracy 0.9222 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00567 | Time(s) 0.6926 | Loss 0.2171 | Accuracy 0.9251 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00568 | Time(s) 0.7126 | Loss 0.2119 | Accuracy 0.9272 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00569 | Time(s) 0.6884 | Loss 0.2058 | Accuracy 0.9282 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00570 | Time(s) 0.7055 | Loss 0.2020 | Accuracy 0.9269 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00571 | Time(s) 0.6857 | Loss 0.2020 | Accuracy 0.9255 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00572 | Time(s) 0.7016 | Loss 0.2036 | Accuracy 0.9255 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00573 | Time(s) 0.6883 | Loss 0.2035 | Accuracy 0.9266 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00574 | Time(s) 0.6902 | Loss 0.2006 | Accuracy 0.9290 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00575 | Time(s) 0.6977 | Loss 0.1964 | Accuracy 0.9306 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00576 | Time(s) 0.6932 | Loss 0.1934 | Accuracy 0.9316 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00577 | Time(s) 0.7059 | Loss 0.1926 | Accuracy 0.9314 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00578 | Time(s) 0.6881 | Loss 0.1929 | Accuracy 0.9317 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00579 | Time(s) 0.6952 | Loss 0.1927 | Accuracy 0.9323 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00580 | Time(s) 0.6882 | Loss 0.1911 | Accuracy 0.9331 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00581 | Time(s) 0.7599 | Loss 0.1886 | Accuracy 0.9332 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00582 | Time(s) 0.6961 | Loss 0.1865 | Accuracy 0.9329 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00583 | Time(s) 0.6969 | Loss 0.1854 | Accuracy 0.9320 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00584 | Time(s) 0.6957 | Loss 0.1853 | Accuracy 0.9321 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00585 | Time(s) 0.6924 | Loss 0.1851 | Accuracy 0.9322 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00586 | Time(s) 0.7065 | Loss 0.1841 | Accuracy 0.9331 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00587 | Time(s) 0.6924 | Loss 0.1825 | Accuracy 0.9342 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00588 | Time(s) 0.6951 | Loss 0.1810 | Accuracy 0.9351 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00589 | Time(s) 0.6880 | Loss 0.1803 | Accuracy 0.9354 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00590 | Time(s) 0.6886 | Loss 0.1799 | Accuracy 0.9357 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00591 | Time(s) 0.6937 | Loss 0.1795 | Accuracy 0.9360 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00592 | Time(s) 0.6885 | Loss 0.1787 | Accuracy 0.9362 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00593 | Time(s) 0.6915 | Loss 0.1775 | Accuracy 0.9363 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00594 | Time(s) 0.6940 | Loss 0.1765 | Accuracy 0.9358 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00595 | Time(s) 0.6893 | Loss 0.1758 | Accuracy 0.9358 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00596 | Time(s) 0.6790 | Loss 0.1754 | Accuracy 0.9359 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00597 | Time(s) 0.7001 | Loss 0.1749 | Accuracy 0.9363 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00598 | Time(s) 0.6965 | Loss 0.1741 | Accuracy 0.9371 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00599 | Time(s) 0.6905 | Loss 0.1732 | Accuracy 0.9376 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00600 | Time(s) 0.6924 | Loss 0.1725 | Accuracy 0.9382 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00601 | Time(s) 0.7100 | Loss 0.1720 | Accuracy 0.9384 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00602 | Time(s) 0.6972 | Loss 0.1715 | Accuracy 0.9386 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00603 | Time(s) 0.6930 | Loss 0.1709 | Accuracy 0.9389 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00604 | Time(s) 0.7060 | Loss 0.1702 | Accuracy 0.9390 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00605 | Time(s) 0.6905 | Loss 0.1695 | Accuracy 0.9391 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00606 | Time(s) 0.7042 | Loss 0.1689 | Accuracy 0.9394 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00607 | Time(s) 0.7078 | Loss 0.1684 | Accuracy 0.9396 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00608 | Time(s) 0.6942 | Loss 0.1679 | Accuracy 0.9400 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00609 | Time(s) 0.6950 | Loss 0.1673 | Accuracy 0.9401 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00610 | Time(s) 0.7076 | Loss 0.1667 | Accuracy 0.9402 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00611 | Time(s) 0.6862 | Loss 0.1661 | Accuracy 0.9404 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00612 | Time(s) 0.6792 | Loss 0.1657 | Accuracy 0.9406 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00613 | Time(s) 0.6886 | Loss 0.1652 | Accuracy 0.9408 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00614 | Time(s) 0.7733 | Loss 0.1647 | Accuracy 0.9409 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00615 | Time(s) 0.6987 | Loss 0.1641 | Accuracy 0.9411 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00616 | Time(s) 0.6978 | Loss 0.1636 | Accuracy 0.9414 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00617 | Time(s) 0.7159 | Loss 0.1631 | Accuracy 0.9416 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00618 | Time(s) 0.6939 | Loss 0.1627 | Accuracy 0.9417 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00619 | Time(s) 0.6836 | Loss 0.1622 | Accuracy 0.9418 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00620 | Time(s) 0.6870 | Loss 0.1617 | Accuracy 0.9422 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00621 | Time(s) 0.6943 | Loss 0.1612 | Accuracy 0.9424 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00622 | Time(s) 0.6872 | Loss 0.1608 | Accuracy 0.9427 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00623 | Time(s) 0.6953 | Loss 0.1603 | Accuracy 0.9428 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00624 | Time(s) 0.7097 | Loss 0.1599 | Accuracy 0.9430 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00625 | Time(s) 0.6856 | Loss 0.1594 | Accuracy 0.9433 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00626 | Time(s) 0.6967 | Loss 0.1590 | Accuracy 0.9434 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00627 | Time(s) 0.6835 | Loss 0.1586 | Accuracy 0.9436 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00628 | Time(s) 0.7627 | Loss 0.1581 | Accuracy 0.9438 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00629 | Time(s) 0.6879 | Loss 0.1577 | Accuracy 0.9439 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00630 | Time(s) 0.6963 | Loss 0.1573 | Accuracy 0.9441 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00631 | Time(s) 0.6962 | Loss 0.1569 | Accuracy 0.9442 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00632 | Time(s) 0.6852 | Loss 0.1565 | Accuracy 0.9444 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00633 | Time(s) 0.7113 | Loss 0.1561 | Accuracy 0.9445 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00634 | Time(s) 0.7031 | Loss 0.1557 | Accuracy 0.9446 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00635 | Time(s) 0.6859 | Loss 0.1553 | Accuracy 0.9448 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00636 | Time(s) 0.6863 | Loss 0.1550 | Accuracy 0.9449 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00637 | Time(s) 0.6928 | Loss 0.1546 | Accuracy 0.9452 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00638 | Time(s) 0.6859 | Loss 0.1542 | Accuracy 0.9454 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00639 | Time(s) 0.6917 | Loss 0.1539 | Accuracy 0.9456 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00640 | Time(s) 0.6933 | Loss 0.1535 | Accuracy 0.9456 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00641 | Time(s) 0.6905 | Loss 0.1531 | Accuracy 0.9458 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00642 | Time(s) 0.7059 | Loss 0.1528 | Accuracy 0.9459 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00643 | Time(s) 0.6949 | Loss 0.1524 | Accuracy 0.9461 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00644 | Time(s) 0.7046 | Loss 0.1521 | Accuracy 0.9463 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00645 | Time(s) 0.6923 | Loss 0.1517 | Accuracy 0.9464 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00646 | Time(s) 0.6980 | Loss 0.1514 | Accuracy 0.9467 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00647 | Time(s) 0.6917 | Loss 0.1511 | Accuracy 0.9468 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00648 | Time(s) 0.6942 | Loss 0.1507 | Accuracy 0.9470 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00649 | Time(s) 0.6925 | Loss 0.1504 | Accuracy 0.9471 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00650 | Time(s) 0.6908 | Loss 0.1501 | Accuracy 0.9472 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00651 | Time(s) 0.6895 | Loss 0.1498 | Accuracy 0.9473 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00652 | Time(s) 0.7049 | Loss 0.1495 | Accuracy 0.9474 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00653 | Time(s) 0.7157 | Loss 0.1491 | Accuracy 0.9475 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00654 | Time(s) 0.6948 | Loss 0.1488 | Accuracy 0.9477 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00655 | Time(s) 0.6931 | Loss 0.1485 | Accuracy 0.9478 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00656 | Time(s) 0.6925 | Loss 0.1482 | Accuracy 0.9479 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00657 | Time(s) 0.6943 | Loss 0.1479 | Accuracy 0.9480 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00658 | Time(s) 0.6953 | Loss 0.1476 | Accuracy 0.9481 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00659 | Time(s) 0.6889 | Loss 0.1473 | Accuracy 0.9481 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00660 | Time(s) 0.6976 | Loss 0.1470 | Accuracy 0.9483 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00661 | Time(s) 0.6976 | Loss 0.1467 | Accuracy 0.9484 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00662 | Time(s) 0.7021 | Loss 0.1464 | Accuracy 0.9485 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00663 | Time(s) 0.6822 | Loss 0.1462 | Accuracy 0.9485 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00664 | Time(s) 0.6924 | Loss 0.1459 | Accuracy 0.9487 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00665 | Time(s) 0.7573 | Loss 0.1456 | Accuracy 0.9488 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00666 | Time(s) 0.6859 | Loss 0.1453 | Accuracy 0.9489 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00667 | Time(s) 0.6924 | Loss 0.1450 | Accuracy 0.9492 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00668 | Time(s) 0.6883 | Loss 0.1448 | Accuracy 0.9492 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00669 | Time(s) 0.6885 | Loss 0.1445 | Accuracy 0.9493 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00670 | Time(s) 0.6961 | Loss 0.1442 | Accuracy 0.9494 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00671 | Time(s) 0.6907 | Loss 0.1439 | Accuracy 0.9495 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00672 | Time(s) 0.6970 | Loss 0.1437 | Accuracy 0.9496 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00673 | Time(s) 0.6991 | Loss 0.1434 | Accuracy 0.9497 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00674 | Time(s) 0.7062 | Loss 0.1432 | Accuracy 0.9499 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00675 | Time(s) 0.6912 | Loss 0.1429 | Accuracy 0.9500 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00676 | Time(s) 0.6919 | Loss 0.1426 | Accuracy 0.9501 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00677 | Time(s) 0.6907 | Loss 0.1424 | Accuracy 0.9502 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00678 | Time(s) 0.7060 | Loss 0.1421 | Accuracy 0.9504 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00679 | Time(s) 0.6906 | Loss 0.1419 | Accuracy 0.9505 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00680 | Time(s) 0.6949 | Loss 0.1416 | Accuracy 0.9506 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00681 | Time(s) 0.7036 | Loss 0.1414 | Accuracy 0.9507 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00682 | Time(s) 0.6990 | Loss 0.1411 | Accuracy 0.9507 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00683 | Time(s) 0.7070 | Loss 0.1409 | Accuracy 0.9508 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00684 | Time(s) 0.6907 | Loss 0.1407 | Accuracy 0.9508 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00685 | Time(s) 0.7043 | Loss 0.1404 | Accuracy 0.9508 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00686 | Time(s) 0.6922 | Loss 0.1402 | Accuracy 0.9510 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00687 | Time(s) 0.6952 | Loss 0.1399 | Accuracy 0.9511 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00688 | Time(s) 0.6904 | Loss 0.1397 | Accuracy 0.9512 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00689 | Time(s) 0.6907 | Loss 0.1395 | Accuracy 0.9513 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00690 | Time(s) 0.6928 | Loss 0.1393 | Accuracy 0.9514 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00691 | Time(s) 0.6926 | Loss 0.1390 | Accuracy 0.9515 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00692 | Time(s) 0.6955 | Loss 0.1388 | Accuracy 0.9515 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00693 | Time(s) 0.7016 | Loss 0.1386 | Accuracy 0.9516 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00694 | Time(s) 0.6910 | Loss 0.1383 | Accuracy 0.9517 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00695 | Time(s) 0.6953 | Loss 0.1381 | Accuracy 0.9518 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00696 | Time(s) 0.6922 | Loss 0.1379 | Accuracy 0.9518 | ETputs(KTEPS) 1128.61\n",
            "Epoch 00697 | Time(s) 0.6943 | Loss 0.1377 | Accuracy 0.9519 | ETputs(KTEPS) 1128.62\n",
            "Epoch 00698 | Time(s) 0.7696 | Loss 0.1375 | Accuracy 0.9520 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00699 | Time(s) 0.6971 | Loss 0.1372 | Accuracy 0.9521 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00700 | Time(s) 0.6941 | Loss 0.1370 | Accuracy 0.9522 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00701 | Time(s) 0.6916 | Loss 0.1368 | Accuracy 0.9523 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00702 | Time(s) 0.6988 | Loss 0.1366 | Accuracy 0.9524 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00703 | Time(s) 0.7122 | Loss 0.1364 | Accuracy 0.9525 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00704 | Time(s) 0.6808 | Loss 0.1362 | Accuracy 0.9525 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00705 | Time(s) 0.7066 | Loss 0.1360 | Accuracy 0.9526 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00706 | Time(s) 0.6955 | Loss 0.1358 | Accuracy 0.9527 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00707 | Time(s) 0.6896 | Loss 0.1355 | Accuracy 0.9528 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00708 | Time(s) 0.6971 | Loss 0.1353 | Accuracy 0.9529 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00709 | Time(s) 0.6980 | Loss 0.1351 | Accuracy 0.9529 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00710 | Time(s) 0.6897 | Loss 0.1349 | Accuracy 0.9530 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00711 | Time(s) 0.6957 | Loss 0.1347 | Accuracy 0.9531 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00712 | Time(s) 0.7547 | Loss 0.1345 | Accuracy 0.9532 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00713 | Time(s) 0.6929 | Loss 0.1343 | Accuracy 0.9533 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00714 | Time(s) 0.6938 | Loss 0.1341 | Accuracy 0.9534 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00715 | Time(s) 0.6940 | Loss 0.1340 | Accuracy 0.9535 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00716 | Time(s) 0.6947 | Loss 0.1338 | Accuracy 0.9536 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00717 | Time(s) 0.6953 | Loss 0.1336 | Accuracy 0.9537 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00718 | Time(s) 0.6960 | Loss 0.1334 | Accuracy 0.9538 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00719 | Time(s) 0.6912 | Loss 0.1332 | Accuracy 0.9538 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00720 | Time(s) 0.6905 | Loss 0.1330 | Accuracy 0.9539 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00721 | Time(s) 0.6933 | Loss 0.1328 | Accuracy 0.9540 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00722 | Time(s) 0.6883 | Loss 0.1326 | Accuracy 0.9540 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00723 | Time(s) 0.6844 | Loss 0.1324 | Accuracy 0.9541 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00724 | Time(s) 0.6929 | Loss 0.1322 | Accuracy 0.9541 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00725 | Time(s) 0.6754 | Loss 0.1321 | Accuracy 0.9542 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00726 | Time(s) 0.7113 | Loss 0.1319 | Accuracy 0.9544 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00727 | Time(s) 0.7115 | Loss 0.1317 | Accuracy 0.9545 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00728 | Time(s) 0.6961 | Loss 0.1315 | Accuracy 0.9546 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00729 | Time(s) 0.6964 | Loss 0.1313 | Accuracy 0.9547 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00730 | Time(s) 0.6866 | Loss 0.1311 | Accuracy 0.9548 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00731 | Time(s) 0.6897 | Loss 0.1309 | Accuracy 0.9550 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00732 | Time(s) 0.6953 | Loss 0.1307 | Accuracy 0.9550 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00733 | Time(s) 0.7045 | Loss 0.1306 | Accuracy 0.9552 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00734 | Time(s) 0.6918 | Loss 0.1304 | Accuracy 0.9552 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00735 | Time(s) 0.7033 | Loss 0.1302 | Accuracy 0.9553 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00736 | Time(s) 0.7104 | Loss 0.1300 | Accuracy 0.9554 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00737 | Time(s) 0.6916 | Loss 0.1298 | Accuracy 0.9555 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00738 | Time(s) 0.7016 | Loss 0.1296 | Accuracy 0.9556 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00739 | Time(s) 0.6975 | Loss 0.1294 | Accuracy 0.9556 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00740 | Time(s) 0.6935 | Loss 0.1293 | Accuracy 0.9558 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00741 | Time(s) 0.6926 | Loss 0.1291 | Accuracy 0.9558 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00742 | Time(s) 0.6951 | Loss 0.1289 | Accuracy 0.9560 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00743 | Time(s) 0.6928 | Loss 0.1287 | Accuracy 0.9560 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00744 | Time(s) 0.6960 | Loss 0.1285 | Accuracy 0.9562 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00745 | Time(s) 0.7168 | Loss 0.1283 | Accuracy 0.9564 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00746 | Time(s) 0.7088 | Loss 0.1282 | Accuracy 0.9565 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00747 | Time(s) 0.6951 | Loss 0.1280 | Accuracy 0.9566 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00748 | Time(s) 0.6920 | Loss 0.1278 | Accuracy 0.9567 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00749 | Time(s) 0.7684 | Loss 0.1276 | Accuracy 0.9567 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00750 | Time(s) 0.6940 | Loss 0.1275 | Accuracy 0.9567 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00751 | Time(s) 0.6942 | Loss 0.1273 | Accuracy 0.9568 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00752 | Time(s) 0.6883 | Loss 0.1271 | Accuracy 0.9569 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00753 | Time(s) 0.6917 | Loss 0.1269 | Accuracy 0.9569 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00754 | Time(s) 0.7098 | Loss 0.1267 | Accuracy 0.9569 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00755 | Time(s) 0.7144 | Loss 0.1266 | Accuracy 0.9570 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00756 | Time(s) 0.6901 | Loss 0.1264 | Accuracy 0.9571 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00757 | Time(s) 0.7107 | Loss 0.1262 | Accuracy 0.9573 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00758 | Time(s) 0.6928 | Loss 0.1260 | Accuracy 0.9575 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00759 | Time(s) 0.6998 | Loss 0.1258 | Accuracy 0.9575 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00760 | Time(s) 0.7063 | Loss 0.1257 | Accuracy 0.9575 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00761 | Time(s) 0.6972 | Loss 0.1255 | Accuracy 0.9577 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00762 | Time(s) 0.6984 | Loss 0.1253 | Accuracy 0.9577 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00763 | Time(s) 0.7037 | Loss 0.1251 | Accuracy 0.9579 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00764 | Time(s) 0.7153 | Loss 0.1250 | Accuracy 0.9580 | ETputs(KTEPS) 1128.25\n",
            "Epoch 00765 | Time(s) 0.6964 | Loss 0.1248 | Accuracy 0.9580 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00766 | Time(s) 0.6940 | Loss 0.1246 | Accuracy 0.9580 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00767 | Time(s) 0.6960 | Loss 0.1244 | Accuracy 0.9581 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00768 | Time(s) 0.6788 | Loss 0.1243 | Accuracy 0.9582 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00769 | Time(s) 0.6905 | Loss 0.1241 | Accuracy 0.9583 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00770 | Time(s) 0.6954 | Loss 0.1239 | Accuracy 0.9584 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00771 | Time(s) 0.6960 | Loss 0.1237 | Accuracy 0.9585 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00772 | Time(s) 0.6994 | Loss 0.1236 | Accuracy 0.9586 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00773 | Time(s) 0.7127 | Loss 0.1234 | Accuracy 0.9587 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00774 | Time(s) 0.6889 | Loss 0.1232 | Accuracy 0.9587 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00775 | Time(s) 0.6955 | Loss 0.1230 | Accuracy 0.9587 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00776 | Time(s) 0.6988 | Loss 0.1229 | Accuracy 0.9589 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00777 | Time(s) 0.6965 | Loss 0.1227 | Accuracy 0.9589 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00778 | Time(s) 0.6906 | Loss 0.1225 | Accuracy 0.9590 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00779 | Time(s) 0.6887 | Loss 0.1224 | Accuracy 0.9591 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00780 | Time(s) 0.6890 | Loss 0.1222 | Accuracy 0.9592 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00781 | Time(s) 0.6929 | Loss 0.1221 | Accuracy 0.9592 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00782 | Time(s) 0.7801 | Loss 0.1219 | Accuracy 0.9593 | ETputs(KTEPS) 1128.21\n",
            "Epoch 00783 | Time(s) 0.7099 | Loss 0.1217 | Accuracy 0.9593 | ETputs(KTEPS) 1128.18\n",
            "Epoch 00784 | Time(s) 0.6918 | Loss 0.1216 | Accuracy 0.9594 | ETputs(KTEPS) 1128.19\n",
            "Epoch 00785 | Time(s) 0.6929 | Loss 0.1214 | Accuracy 0.9594 | ETputs(KTEPS) 1128.20\n",
            "Epoch 00786 | Time(s) 0.6994 | Loss 0.1212 | Accuracy 0.9595 | ETputs(KTEPS) 1128.20\n",
            "Epoch 00787 | Time(s) 0.6857 | Loss 0.1211 | Accuracy 0.9595 | ETputs(KTEPS) 1128.22\n",
            "Epoch 00788 | Time(s) 0.6910 | Loss 0.1209 | Accuracy 0.9595 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00789 | Time(s) 0.6910 | Loss 0.1208 | Accuracy 0.9596 | ETputs(KTEPS) 1128.25\n",
            "Epoch 00790 | Time(s) 0.6874 | Loss 0.1206 | Accuracy 0.9597 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00791 | Time(s) 0.6969 | Loss 0.1205 | Accuracy 0.9598 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00792 | Time(s) 0.6865 | Loss 0.1203 | Accuracy 0.9598 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00793 | Time(s) 0.6972 | Loss 0.1202 | Accuracy 0.9601 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00794 | Time(s) 0.6929 | Loss 0.1200 | Accuracy 0.9601 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00795 | Time(s) 0.6927 | Loss 0.1199 | Accuracy 0.9602 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00796 | Time(s) 0.7682 | Loss 0.1197 | Accuracy 0.9602 | ETputs(KTEPS) 1128.17\n",
            "Epoch 00797 | Time(s) 0.6907 | Loss 0.1196 | Accuracy 0.9602 | ETputs(KTEPS) 1128.19\n",
            "Epoch 00798 | Time(s) 0.6895 | Loss 0.1194 | Accuracy 0.9603 | ETputs(KTEPS) 1128.21\n",
            "Epoch 00799 | Time(s) 0.6871 | Loss 0.1193 | Accuracy 0.9603 | ETputs(KTEPS) 1128.23\n",
            "Epoch 00800 | Time(s) 0.6813 | Loss 0.1191 | Accuracy 0.9604 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00801 | Time(s) 0.6799 | Loss 0.1190 | Accuracy 0.9604 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00802 | Time(s) 0.7101 | Loss 0.1189 | Accuracy 0.9604 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00803 | Time(s) 0.6877 | Loss 0.1187 | Accuracy 0.9605 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00804 | Time(s) 0.6845 | Loss 0.1186 | Accuracy 0.9606 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00805 | Time(s) 0.6802 | Loss 0.1184 | Accuracy 0.9607 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00806 | Time(s) 0.6938 | Loss 0.1183 | Accuracy 0.9607 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00807 | Time(s) 0.6964 | Loss 0.1182 | Accuracy 0.9608 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00808 | Time(s) 0.7005 | Loss 0.1180 | Accuracy 0.9609 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00809 | Time(s) 0.6893 | Loss 0.1179 | Accuracy 0.9609 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00810 | Time(s) 0.7019 | Loss 0.1177 | Accuracy 0.9611 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00811 | Time(s) 0.6935 | Loss 0.1176 | Accuracy 0.9611 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00812 | Time(s) 0.6900 | Loss 0.1175 | Accuracy 0.9611 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00813 | Time(s) 0.6857 | Loss 0.1173 | Accuracy 0.9612 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00814 | Time(s) 0.6921 | Loss 0.1172 | Accuracy 0.9613 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00815 | Time(s) 0.6939 | Loss 0.1171 | Accuracy 0.9613 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00816 | Time(s) 0.6893 | Loss 0.1169 | Accuracy 0.9614 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00817 | Time(s) 0.6958 | Loss 0.1168 | Accuracy 0.9614 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00818 | Time(s) 0.6837 | Loss 0.1167 | Accuracy 0.9614 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00819 | Time(s) 0.7004 | Loss 0.1166 | Accuracy 0.9615 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00820 | Time(s) 0.6956 | Loss 0.1164 | Accuracy 0.9615 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00821 | Time(s) 0.6947 | Loss 0.1163 | Accuracy 0.9616 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00822 | Time(s) 0.6928 | Loss 0.1162 | Accuracy 0.9616 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00823 | Time(s) 0.6942 | Loss 0.1160 | Accuracy 0.9616 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00824 | Time(s) 0.6928 | Loss 0.1159 | Accuracy 0.9616 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00825 | Time(s) 0.6826 | Loss 0.1158 | Accuracy 0.9617 | ETputs(KTEPS) 1128.53\n",
            "Epoch 00826 | Time(s) 0.6949 | Loss 0.1157 | Accuracy 0.9617 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00827 | Time(s) 0.6888 | Loss 0.1155 | Accuracy 0.9617 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00828 | Time(s) 0.6933 | Loss 0.1154 | Accuracy 0.9618 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00829 | Time(s) 0.6957 | Loss 0.1153 | Accuracy 0.9618 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00830 | Time(s) 0.6943 | Loss 0.1152 | Accuracy 0.9618 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00831 | Time(s) 0.6938 | Loss 0.1150 | Accuracy 0.9619 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00832 | Time(s) 0.7094 | Loss 0.1149 | Accuracy 0.9620 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00833 | Time(s) 0.7622 | Loss 0.1148 | Accuracy 0.9619 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00834 | Time(s) 0.6929 | Loss 0.1147 | Accuracy 0.9620 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00835 | Time(s) 0.6908 | Loss 0.1146 | Accuracy 0.9621 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00836 | Time(s) 0.6921 | Loss 0.1144 | Accuracy 0.9622 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00837 | Time(s) 0.7059 | Loss 0.1143 | Accuracy 0.9622 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00838 | Time(s) 0.7086 | Loss 0.1142 | Accuracy 0.9622 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00839 | Time(s) 0.6943 | Loss 0.1141 | Accuracy 0.9623 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00840 | Time(s) 0.6995 | Loss 0.1140 | Accuracy 0.9623 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00841 | Time(s) 0.6916 | Loss 0.1138 | Accuracy 0.9624 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00842 | Time(s) 0.6894 | Loss 0.1137 | Accuracy 0.9624 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00843 | Time(s) 0.6894 | Loss 0.1136 | Accuracy 0.9624 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00844 | Time(s) 0.6903 | Loss 0.1135 | Accuracy 0.9625 | ETputs(KTEPS) 1128.48\n",
            "Epoch 00845 | Time(s) 0.6901 | Loss 0.1134 | Accuracy 0.9625 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00846 | Time(s) 0.6902 | Loss 0.1132 | Accuracy 0.9625 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00847 | Time(s) 0.6972 | Loss 0.1131 | Accuracy 0.9626 | ETputs(KTEPS) 1128.51\n",
            "Epoch 00848 | Time(s) 0.6926 | Loss 0.1130 | Accuracy 0.9626 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00849 | Time(s) 0.6824 | Loss 0.1129 | Accuracy 0.9626 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00850 | Time(s) 0.6915 | Loss 0.1128 | Accuracy 0.9627 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00851 | Time(s) 0.6845 | Loss 0.1127 | Accuracy 0.9627 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00852 | Time(s) 0.6912 | Loss 0.1126 | Accuracy 0.9627 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00853 | Time(s) 0.7002 | Loss 0.1124 | Accuracy 0.9628 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00854 | Time(s) 0.6944 | Loss 0.1123 | Accuracy 0.9629 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00855 | Time(s) 0.6979 | Loss 0.1122 | Accuracy 0.9630 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00856 | Time(s) 0.6922 | Loss 0.1121 | Accuracy 0.9630 | ETputs(KTEPS) 1128.61\n",
            "Epoch 00857 | Time(s) 0.6913 | Loss 0.1120 | Accuracy 0.9631 | ETputs(KTEPS) 1128.62\n",
            "Epoch 00858 | Time(s) 0.6831 | Loss 0.1119 | Accuracy 0.9631 | ETputs(KTEPS) 1128.65\n",
            "Epoch 00859 | Time(s) 0.6901 | Loss 0.1118 | Accuracy 0.9631 | ETputs(KTEPS) 1128.66\n",
            "Epoch 00860 | Time(s) 0.6906 | Loss 0.1117 | Accuracy 0.9631 | ETputs(KTEPS) 1128.67\n",
            "Epoch 00861 | Time(s) 0.6891 | Loss 0.1115 | Accuracy 0.9632 | ETputs(KTEPS) 1128.69\n",
            "Epoch 00862 | Time(s) 0.7127 | Loss 0.1114 | Accuracy 0.9633 | ETputs(KTEPS) 1128.66\n",
            "Epoch 00863 | Time(s) 0.6951 | Loss 0.1113 | Accuracy 0.9633 | ETputs(KTEPS) 1128.66\n",
            "Epoch 00864 | Time(s) 0.6944 | Loss 0.1112 | Accuracy 0.9633 | ETputs(KTEPS) 1128.67\n",
            "Epoch 00865 | Time(s) 0.6932 | Loss 0.1111 | Accuracy 0.9634 | ETputs(KTEPS) 1128.68\n",
            "Epoch 00866 | Time(s) 0.7700 | Loss 0.1110 | Accuracy 0.9634 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00867 | Time(s) 0.6932 | Loss 0.1109 | Accuracy 0.9634 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00868 | Time(s) 0.6918 | Loss 0.1108 | Accuracy 0.9635 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00869 | Time(s) 0.6920 | Loss 0.1107 | Accuracy 0.9635 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00870 | Time(s) 0.7032 | Loss 0.1106 | Accuracy 0.9635 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00871 | Time(s) 0.6961 | Loss 0.1105 | Accuracy 0.9635 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00872 | Time(s) 0.6949 | Loss 0.1104 | Accuracy 0.9636 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00873 | Time(s) 0.6972 | Loss 0.1103 | Accuracy 0.9636 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00874 | Time(s) 0.6918 | Loss 0.1102 | Accuracy 0.9637 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00875 | Time(s) 0.6955 | Loss 0.1101 | Accuracy 0.9636 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00876 | Time(s) 0.6915 | Loss 0.1100 | Accuracy 0.9637 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00877 | Time(s) 0.6986 | Loss 0.1099 | Accuracy 0.9636 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00878 | Time(s) 0.7035 | Loss 0.1098 | Accuracy 0.9636 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00879 | Time(s) 0.6816 | Loss 0.1096 | Accuracy 0.9637 | ETputs(KTEPS) 1128.61\n",
            "Epoch 00880 | Time(s) 0.7625 | Loss 0.1095 | Accuracy 0.9637 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00881 | Time(s) 0.6959 | Loss 0.1094 | Accuracy 0.9637 | ETputs(KTEPS) 1128.49\n",
            "Epoch 00882 | Time(s) 0.6932 | Loss 0.1093 | Accuracy 0.9637 | ETputs(KTEPS) 1128.50\n",
            "Epoch 00883 | Time(s) 0.6835 | Loss 0.1092 | Accuracy 0.9637 | ETputs(KTEPS) 1128.52\n",
            "Epoch 00884 | Time(s) 0.6908 | Loss 0.1091 | Accuracy 0.9638 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00885 | Time(s) 0.6937 | Loss 0.1090 | Accuracy 0.9638 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00886 | Time(s) 0.6980 | Loss 0.1089 | Accuracy 0.9638 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00887 | Time(s) 0.6902 | Loss 0.1088 | Accuracy 0.9638 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00888 | Time(s) 0.6911 | Loss 0.1087 | Accuracy 0.9639 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00889 | Time(s) 0.6927 | Loss 0.1086 | Accuracy 0.9639 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00890 | Time(s) 0.6898 | Loss 0.1085 | Accuracy 0.9639 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00891 | Time(s) 0.7076 | Loss 0.1084 | Accuracy 0.9640 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00892 | Time(s) 0.6930 | Loss 0.1083 | Accuracy 0.9640 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00893 | Time(s) 0.6940 | Loss 0.1082 | Accuracy 0.9641 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00894 | Time(s) 0.7016 | Loss 0.1082 | Accuracy 0.9641 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00895 | Time(s) 0.6925 | Loss 0.1081 | Accuracy 0.9642 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00896 | Time(s) 0.6966 | Loss 0.1080 | Accuracy 0.9642 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00897 | Time(s) 0.6954 | Loss 0.1079 | Accuracy 0.9642 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00898 | Time(s) 0.7054 | Loss 0.1078 | Accuracy 0.9642 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00899 | Time(s) 0.6965 | Loss 0.1077 | Accuracy 0.9642 | ETputs(KTEPS) 1128.58\n",
            "Epoch 00900 | Time(s) 0.6937 | Loss 0.1076 | Accuracy 0.9643 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00901 | Time(s) 0.7041 | Loss 0.1075 | Accuracy 0.9643 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00902 | Time(s) 0.6893 | Loss 0.1074 | Accuracy 0.9643 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00903 | Time(s) 0.7096 | Loss 0.1073 | Accuracy 0.9644 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00904 | Time(s) 0.7107 | Loss 0.1072 | Accuracy 0.9644 | ETputs(KTEPS) 1128.54\n",
            "Epoch 00905 | Time(s) 0.6868 | Loss 0.1071 | Accuracy 0.9644 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00906 | Time(s) 0.6931 | Loss 0.1070 | Accuracy 0.9644 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00907 | Time(s) 0.6980 | Loss 0.1069 | Accuracy 0.9644 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00908 | Time(s) 0.6949 | Loss 0.1068 | Accuracy 0.9644 | ETputs(KTEPS) 1128.57\n",
            "Epoch 00909 | Time(s) 0.6862 | Loss 0.1067 | Accuracy 0.9645 | ETputs(KTEPS) 1128.59\n",
            "Epoch 00910 | Time(s) 0.6961 | Loss 0.1066 | Accuracy 0.9645 | ETputs(KTEPS) 1128.60\n",
            "Epoch 00911 | Time(s) 0.6899 | Loss 0.1065 | Accuracy 0.9646 | ETputs(KTEPS) 1128.61\n",
            "Epoch 00912 | Time(s) 0.6992 | Loss 0.1064 | Accuracy 0.9646 | ETputs(KTEPS) 1128.61\n",
            "Epoch 00913 | Time(s) 0.7269 | Loss 0.1063 | Accuracy 0.9646 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00914 | Time(s) 0.7009 | Loss 0.1062 | Accuracy 0.9646 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00915 | Time(s) 0.6915 | Loss 0.1062 | Accuracy 0.9646 | ETputs(KTEPS) 1128.56\n",
            "Epoch 00916 | Time(s) 0.6996 | Loss 0.1061 | Accuracy 0.9646 | ETputs(KTEPS) 1128.55\n",
            "Epoch 00917 | Time(s) 0.7584 | Loss 0.1060 | Accuracy 0.9647 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00918 | Time(s) 0.6919 | Loss 0.1059 | Accuracy 0.9647 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00919 | Time(s) 0.6906 | Loss 0.1058 | Accuracy 0.9648 | ETputs(KTEPS) 1128.47\n",
            "Epoch 00920 | Time(s) 0.7095 | Loss 0.1057 | Accuracy 0.9648 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00921 | Time(s) 0.7117 | Loss 0.1056 | Accuracy 0.9648 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00922 | Time(s) 0.7109 | Loss 0.1055 | Accuracy 0.9648 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00923 | Time(s) 0.7140 | Loss 0.1054 | Accuracy 0.9649 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00924 | Time(s) 0.7061 | Loss 0.1053 | Accuracy 0.9649 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00925 | Time(s) 0.6913 | Loss 0.1053 | Accuracy 0.9650 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00926 | Time(s) 0.6909 | Loss 0.1052 | Accuracy 0.9650 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00927 | Time(s) 0.6883 | Loss 0.1051 | Accuracy 0.9650 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00928 | Time(s) 0.6954 | Loss 0.1050 | Accuracy 0.9650 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00929 | Time(s) 0.6955 | Loss 0.1049 | Accuracy 0.9650 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00930 | Time(s) 0.6974 | Loss 0.1048 | Accuracy 0.9651 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00931 | Time(s) 0.7108 | Loss 0.1047 | Accuracy 0.9651 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00932 | Time(s) 0.7010 | Loss 0.1046 | Accuracy 0.9652 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00933 | Time(s) 0.6799 | Loss 0.1045 | Accuracy 0.9652 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00934 | Time(s) 0.6796 | Loss 0.1045 | Accuracy 0.9652 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00935 | Time(s) 0.6935 | Loss 0.1044 | Accuracy 0.9653 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00936 | Time(s) 0.6961 | Loss 0.1043 | Accuracy 0.9653 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00937 | Time(s) 0.6952 | Loss 0.1042 | Accuracy 0.9654 | ETputs(KTEPS) 1128.45\n",
            "Epoch 00938 | Time(s) 0.7003 | Loss 0.1041 | Accuracy 0.9654 | ETputs(KTEPS) 1128.44\n",
            "Epoch 00939 | Time(s) 0.6861 | Loss 0.1040 | Accuracy 0.9654 | ETputs(KTEPS) 1128.46\n",
            "Epoch 00940 | Time(s) 0.7149 | Loss 0.1039 | Accuracy 0.9655 | ETputs(KTEPS) 1128.43\n",
            "Epoch 00941 | Time(s) 0.7073 | Loss 0.1038 | Accuracy 0.9655 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00942 | Time(s) 0.7139 | Loss 0.1038 | Accuracy 0.9655 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00943 | Time(s) 0.6924 | Loss 0.1037 | Accuracy 0.9656 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00944 | Time(s) 0.7024 | Loss 0.1036 | Accuracy 0.9656 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00945 | Time(s) 0.6957 | Loss 0.1035 | Accuracy 0.9656 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00946 | Time(s) 0.6989 | Loss 0.1034 | Accuracy 0.9656 | ETputs(KTEPS) 1128.39\n",
            "Epoch 00947 | Time(s) 0.6899 | Loss 0.1033 | Accuracy 0.9657 | ETputs(KTEPS) 1128.40\n",
            "Epoch 00948 | Time(s) 0.6960 | Loss 0.1033 | Accuracy 0.9657 | ETputs(KTEPS) 1128.41\n",
            "Epoch 00949 | Time(s) 0.6898 | Loss 0.1032 | Accuracy 0.9657 | ETputs(KTEPS) 1128.42\n",
            "Epoch 00950 | Time(s) 0.7736 | Loss 0.1031 | Accuracy 0.9657 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00951 | Time(s) 0.6974 | Loss 0.1030 | Accuracy 0.9658 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00952 | Time(s) 0.7003 | Loss 0.1029 | Accuracy 0.9658 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00953 | Time(s) 0.6922 | Loss 0.1028 | Accuracy 0.9659 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00954 | Time(s) 0.6909 | Loss 0.1028 | Accuracy 0.9660 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00955 | Time(s) 0.6835 | Loss 0.1027 | Accuracy 0.9660 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00956 | Time(s) 0.6944 | Loss 0.1026 | Accuracy 0.9661 | ETputs(KTEPS) 1128.34\n",
            "Epoch 00957 | Time(s) 0.6912 | Loss 0.1025 | Accuracy 0.9661 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00958 | Time(s) 0.6888 | Loss 0.1024 | Accuracy 0.9662 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00959 | Time(s) 0.7159 | Loss 0.1024 | Accuracy 0.9662 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00960 | Time(s) 0.7136 | Loss 0.1023 | Accuracy 0.9663 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00961 | Time(s) 0.6909 | Loss 0.1022 | Accuracy 0.9664 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00962 | Time(s) 0.6952 | Loss 0.1021 | Accuracy 0.9664 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00963 | Time(s) 0.6964 | Loss 0.1020 | Accuracy 0.9664 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00964 | Time(s) 0.7641 | Loss 0.1020 | Accuracy 0.9665 | ETputs(KTEPS) 1128.21\n",
            "Epoch 00965 | Time(s) 0.6883 | Loss 0.1019 | Accuracy 0.9665 | ETputs(KTEPS) 1128.22\n",
            "Epoch 00966 | Time(s) 0.6897 | Loss 0.1018 | Accuracy 0.9665 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00967 | Time(s) 0.6922 | Loss 0.1017 | Accuracy 0.9665 | ETputs(KTEPS) 1128.25\n",
            "Epoch 00968 | Time(s) 0.7059 | Loss 0.1016 | Accuracy 0.9665 | ETputs(KTEPS) 1128.23\n",
            "Epoch 00969 | Time(s) 0.6945 | Loss 0.1016 | Accuracy 0.9666 | ETputs(KTEPS) 1128.24\n",
            "Epoch 00970 | Time(s) 0.6878 | Loss 0.1015 | Accuracy 0.9667 | ETputs(KTEPS) 1128.25\n",
            "Epoch 00971 | Time(s) 0.6914 | Loss 0.1014 | Accuracy 0.9667 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00972 | Time(s) 0.6951 | Loss 0.1013 | Accuracy 0.9666 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00973 | Time(s) 0.6813 | Loss 0.1012 | Accuracy 0.9667 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00974 | Time(s) 0.6823 | Loss 0.1012 | Accuracy 0.9667 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00975 | Time(s) 0.6973 | Loss 0.1011 | Accuracy 0.9668 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00976 | Time(s) 0.7130 | Loss 0.1010 | Accuracy 0.9668 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00977 | Time(s) 0.6940 | Loss 0.1009 | Accuracy 0.9669 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00978 | Time(s) 0.7141 | Loss 0.1009 | Accuracy 0.9669 | ETputs(KTEPS) 1128.28\n",
            "Epoch 00979 | Time(s) 0.7044 | Loss 0.1008 | Accuracy 0.9670 | ETputs(KTEPS) 1128.26\n",
            "Epoch 00980 | Time(s) 0.6927 | Loss 0.1007 | Accuracy 0.9670 | ETputs(KTEPS) 1128.27\n",
            "Epoch 00981 | Time(s) 0.6898 | Loss 0.1006 | Accuracy 0.9670 | ETputs(KTEPS) 1128.28\n",
            "Epoch 00982 | Time(s) 0.6917 | Loss 0.1005 | Accuracy 0.9670 | ETputs(KTEPS) 1128.29\n",
            "Epoch 00983 | Time(s) 0.6896 | Loss 0.1005 | Accuracy 0.9671 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00984 | Time(s) 0.6994 | Loss 0.1004 | Accuracy 0.9671 | ETputs(KTEPS) 1128.30\n",
            "Epoch 00985 | Time(s) 0.6936 | Loss 0.1003 | Accuracy 0.9671 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00986 | Time(s) 0.6944 | Loss 0.1002 | Accuracy 0.9672 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00987 | Time(s) 0.6945 | Loss 0.1002 | Accuracy 0.9672 | ETputs(KTEPS) 1128.32\n",
            "Epoch 00988 | Time(s) 0.7037 | Loss 0.1001 | Accuracy 0.9672 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00989 | Time(s) 0.6966 | Loss 0.1000 | Accuracy 0.9672 | ETputs(KTEPS) 1128.31\n",
            "Epoch 00990 | Time(s) 0.6867 | Loss 0.0999 | Accuracy 0.9672 | ETputs(KTEPS) 1128.33\n",
            "Epoch 00991 | Time(s) 0.6830 | Loss 0.0998 | Accuracy 0.9672 | ETputs(KTEPS) 1128.35\n",
            "Epoch 00992 | Time(s) 0.6857 | Loss 0.0998 | Accuracy 0.9673 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00993 | Time(s) 0.6938 | Loss 0.0997 | Accuracy 0.9673 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00994 | Time(s) 0.6990 | Loss 0.0996 | Accuracy 0.9673 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00995 | Time(s) 0.6947 | Loss 0.0995 | Accuracy 0.9673 | ETputs(KTEPS) 1128.38\n",
            "Epoch 00996 | Time(s) 0.7024 | Loss 0.0995 | Accuracy 0.9673 | ETputs(KTEPS) 1128.37\n",
            "Epoch 00997 | Time(s) 0.7075 | Loss 0.0994 | Accuracy 0.9673 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00998 | Time(s) 0.6958 | Loss 0.0993 | Accuracy 0.9674 | ETputs(KTEPS) 1128.36\n",
            "Epoch 00999 | Time(s) 0.6971 | Loss 0.0992 | Accuracy 0.9674 | ETputs(KTEPS) 1128.36\n",
            "Inference time: avg time 0.6976, stdev time 0.0364\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30202 fp 458 tn 46798 fn 1252\n",
            "accuracy 0.9783\n",
            "precision 0.9851\n",
            "recall 0.9602\n",
            "tnr 0.9903\n",
            "tpr 0.9602\n",
            "f1 0.9725\n",
            "acc/pre/rec:  97.83%/98.51%/96.02%\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 1666])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "model load from: ./output/best.model.tmp_model_name\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30469 fp 383 tn 46737 fn 1121\n",
            "accuracy 0.9809\n",
            "precision 0.9876\n",
            "recall 0.9645\n",
            "tnr 0.9919\n",
            "tpr 0.9645\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.09%/98.76%/96.45%\n",
            "time: 0.6034\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30318 fp 352 tn 46881 fn 1159\n",
            "accuracy 0.9808\n",
            "precision 0.9885\n",
            "recall 0.9632\n",
            "tnr 0.9925\n",
            "tpr 0.9632\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.08%/98.85%/96.32%\n",
            "time: 0.6020\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29989 fp 362 tn 47277 fn 1082\n",
            "accuracy 0.9817\n",
            "precision 0.9881\n",
            "recall 0.9652\n",
            "tnr 0.9924\n",
            "tpr 0.9652\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.17%/98.81%/96.52%\n",
            "time: 0.6037\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30106 fp 370 tn 47119 fn 1115\n",
            "accuracy 0.9811\n",
            "precision 0.9879\n",
            "recall 0.9643\n",
            "tnr 0.9922\n",
            "tpr 0.9643\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.11%/98.79%/96.43%\n",
            "time: 0.6103\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30456 fp 340 tn 46796 fn 1118\n",
            "accuracy 0.9815\n",
            "precision 0.9890\n",
            "recall 0.9646\n",
            "tnr 0.9928\n",
            "tpr 0.9646\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/98.90%/96.46%\n",
            "time: 0.6054\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30184 fp 344 tn 47071 fn 1111\n",
            "accuracy 0.9815\n",
            "precision 0.9887\n",
            "recall 0.9645\n",
            "tnr 0.9927\n",
            "tpr 0.9645\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/98.87%/96.45%\n",
            "time: 0.6893\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30322 fp 383 tn 46878 fn 1127\n",
            "accuracy 0.9808\n",
            "precision 0.9875\n",
            "recall 0.9642\n",
            "tnr 0.9919\n",
            "tpr 0.9642\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.08%/98.75%/96.42%\n",
            "time: 0.6059\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30347 fp 351 tn 46903 fn 1109\n",
            "accuracy 0.9815\n",
            "precision 0.9886\n",
            "recall 0.9647\n",
            "tnr 0.9926\n",
            "tpr 0.9647\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/98.86%/96.47%\n",
            "time: 0.6125\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30298 fp 323 tn 47017 fn 1072\n",
            "accuracy 0.9823\n",
            "precision 0.9895\n",
            "recall 0.9658\n",
            "tnr 0.9932\n",
            "tpr 0.9658\n",
            "f1 0.9775\n",
            "acc/pre/rec:  98.23%/98.95%/96.58%\n",
            "time: 0.6070\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30365 fp 331 tn 46852 fn 1162\n",
            "accuracy 0.9810\n",
            "precision 0.9892\n",
            "recall 0.9631\n",
            "tnr 0.9930\n",
            "tpr 0.9631\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.10%/98.92%/96.31%\n",
            "time: 0.6052\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30337 fp 339 tn 46901 fn 1133\n",
            "accuracy 0.9813\n",
            "precision 0.9889\n",
            "recall 0.9640\n",
            "tnr 0.9928\n",
            "tpr 0.9640\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/98.89%/96.40%\n",
            "time: 0.5995\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30287 fp 364 tn 46954 fn 1105\n",
            "accuracy 0.9813\n",
            "precision 0.9881\n",
            "recall 0.9648\n",
            "tnr 0.9923\n",
            "tpr 0.9648\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/98.81%/96.48%\n",
            "time: 0.6062\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30189 fp 340 tn 47062 fn 1119\n",
            "accuracy 0.9815\n",
            "precision 0.9889\n",
            "recall 0.9643\n",
            "tnr 0.9928\n",
            "tpr 0.9643\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.15%/98.89%/96.43%\n",
            "time: 0.6014\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30240 fp 369 tn 46976 fn 1125\n",
            "accuracy 0.9810\n",
            "precision 0.9879\n",
            "recall 0.9641\n",
            "tnr 0.9922\n",
            "tpr 0.9641\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.10%/98.79%/96.41%\n",
            "time: 0.6104\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30489 fp 383 tn 46703 fn 1135\n",
            "accuracy 0.9807\n",
            "precision 0.9876\n",
            "recall 0.9641\n",
            "tnr 0.9919\n",
            "tpr 0.9641\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.07%/98.76%/96.41%\n",
            "time: 0.6075\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30377 fp 335 tn 46893 fn 1105\n",
            "accuracy 0.9817\n",
            "precision 0.9891\n",
            "recall 0.9649\n",
            "tnr 0.9929\n",
            "tpr 0.9649\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/98.91%/96.49%\n",
            "time: 0.6038\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30108 fp 372 tn 47112 fn 1118\n",
            "accuracy 0.9811\n",
            "precision 0.9878\n",
            "recall 0.9642\n",
            "tnr 0.9922\n",
            "tpr 0.9642\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.11%/98.78%/96.42%\n",
            "time: 0.6087\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30138 fp 353 tn 47097 fn 1122\n",
            "accuracy 0.9813\n",
            "precision 0.9884\n",
            "recall 0.9641\n",
            "tnr 0.9926\n",
            "tpr 0.9641\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.13%/98.84%/96.41%\n",
            "time: 0.6111\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30418 fp 343 tn 46810 fn 1139\n",
            "accuracy 0.9812\n",
            "precision 0.9888\n",
            "recall 0.9639\n",
            "tnr 0.9927\n",
            "tpr 0.9639\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.12%/98.88%/96.39%\n",
            "time: 0.5951\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30276 fp 381 tn 46878 fn 1175\n",
            "accuracy 0.9802\n",
            "precision 0.9876\n",
            "recall 0.9626\n",
            "tnr 0.9919\n",
            "tpr 0.9626\n",
            "f1 0.9749\n",
            "acc/pre/rec:  98.02%/98.76%/96.26%\n",
            "time: 0.6075\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30493 fp 349 tn 46772 fn 1096\n",
            "accuracy 0.9816\n",
            "precision 0.9887\n",
            "recall 0.9653\n",
            "tnr 0.9926\n",
            "tpr 0.9653\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.16%/98.87%/96.53%\n",
            "time: 0.6046\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30271 fp 352 tn 46939 fn 1148\n",
            "accuracy 0.9809\n",
            "precision 0.9885\n",
            "recall 0.9635\n",
            "tnr 0.9926\n",
            "tpr 0.9635\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.09%/98.85%/96.35%\n",
            "time: 0.6159\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30262 fp 348 tn 46978 fn 1122\n",
            "accuracy 0.9813\n",
            "precision 0.9886\n",
            "recall 0.9642\n",
            "tnr 0.9926\n",
            "tpr 0.9642\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/98.86%/96.42%\n",
            "time: 0.6073\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30336 fp 350 tn 46907 fn 1117\n",
            "accuracy 0.9814\n",
            "precision 0.9886\n",
            "recall 0.9645\n",
            "tnr 0.9926\n",
            "tpr 0.9645\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.14%/98.86%/96.45%\n",
            "time: 0.6048\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30330 fp 317 tn 46885 fn 1178\n",
            "accuracy 0.9810\n",
            "precision 0.9897\n",
            "recall 0.9626\n",
            "tnr 0.9933\n",
            "tpr 0.9626\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.10%/98.97%/96.26%\n",
            "time: 0.6042\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30121 fp 346 tn 47077 fn 1166\n",
            "accuracy 0.9808\n",
            "precision 0.9886\n",
            "recall 0.9627\n",
            "tnr 0.9927\n",
            "tpr 0.9627\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/98.86%/96.27%\n",
            "time: 0.6025\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30178 fp 330 tn 47067 fn 1135\n",
            "accuracy 0.9814\n",
            "precision 0.9892\n",
            "recall 0.9638\n",
            "tnr 0.9930\n",
            "tpr 0.9638\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/98.92%/96.38%\n",
            "time: 0.5952\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30271 fp 374 tn 46999 fn 1066\n",
            "accuracy 0.9817\n",
            "precision 0.9878\n",
            "recall 0.9660\n",
            "tnr 0.9921\n",
            "tpr 0.9660\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/98.78%/96.60%\n",
            "time: 0.5939\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30366 fp 368 tn 46831 fn 1145\n",
            "accuracy 0.9808\n",
            "precision 0.9880\n",
            "recall 0.9637\n",
            "tnr 0.9922\n",
            "tpr 0.9637\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.08%/98.80%/96.37%\n",
            "time: 0.6019\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30262 fp 380 tn 46913 fn 1155\n",
            "accuracy 0.9805\n",
            "precision 0.9876\n",
            "recall 0.9632\n",
            "tnr 0.9920\n",
            "tpr 0.9632\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.05%/98.76%/96.32%\n",
            "time: 0.6053\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30345 fp 397 tn 46820 fn 1148\n",
            "accuracy 0.9804\n",
            "precision 0.9871\n",
            "recall 0.9635\n",
            "tnr 0.9916\n",
            "tpr 0.9635\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.04%/98.71%/96.35%\n",
            "time: 0.6040\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30330 fp 350 tn 46923 fn 1107\n",
            "accuracy 0.9815\n",
            "precision 0.9886\n",
            "recall 0.9648\n",
            "tnr 0.9926\n",
            "tpr 0.9648\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/98.86%/96.48%\n",
            "time: 0.6036\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30194 fp 370 tn 46988 fn 1158\n",
            "accuracy 0.9806\n",
            "precision 0.9879\n",
            "recall 0.9631\n",
            "tnr 0.9922\n",
            "tpr 0.9631\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.06%/98.79%/96.31%\n",
            "time: 0.6070\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30410 fp 326 tn 46861 fn 1113\n",
            "accuracy 0.9817\n",
            "precision 0.9894\n",
            "recall 0.9647\n",
            "tnr 0.9931\n",
            "tpr 0.9647\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.17%/98.94%/96.47%\n",
            "time: 0.6087\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30115 fp 369 tn 47141 fn 1085\n",
            "accuracy 0.9815\n",
            "precision 0.9879\n",
            "recall 0.9652\n",
            "tnr 0.9922\n",
            "tpr 0.9652\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.15%/98.79%/96.52%\n",
            "time: 0.6008\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30122 fp 333 tn 47106 fn 1149\n",
            "accuracy 0.9812\n",
            "precision 0.9891\n",
            "recall 0.9633\n",
            "tnr 0.9930\n",
            "tpr 0.9633\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.12%/98.91%/96.33%\n",
            "time: 0.6132\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30369 fp 326 tn 46914 fn 1101\n",
            "accuracy 0.9819\n",
            "precision 0.9894\n",
            "recall 0.9650\n",
            "tnr 0.9931\n",
            "tpr 0.9650\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.19%/98.94%/96.50%\n",
            "time: 0.6053\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30125 fp 326 tn 47137 fn 1122\n",
            "accuracy 0.9816\n",
            "precision 0.9893\n",
            "recall 0.9641\n",
            "tnr 0.9931\n",
            "tpr 0.9641\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.16%/98.93%/96.41%\n",
            "time: 0.6060\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30454 fp 351 tn 46734 fn 1171\n",
            "accuracy 0.9807\n",
            "precision 0.9886\n",
            "recall 0.9630\n",
            "tnr 0.9925\n",
            "tpr 0.9630\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.07%/98.86%/96.30%\n",
            "time: 0.6099\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30550 fp 336 tn 46728 fn 1096\n",
            "accuracy 0.9818\n",
            "precision 0.9891\n",
            "recall 0.9654\n",
            "tnr 0.9929\n",
            "tpr 0.9654\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.18%/98.91%/96.54%\n",
            "time: 0.6116\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30277 fp 372 tn 46921 fn 1140\n",
            "accuracy 0.9808\n",
            "precision 0.9879\n",
            "recall 0.9637\n",
            "tnr 0.9921\n",
            "tpr 0.9637\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.08%/98.79%/96.37%\n",
            "time: 0.6054\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30209 fp 345 tn 46986 fn 1170\n",
            "accuracy 0.9808\n",
            "precision 0.9887\n",
            "recall 0.9627\n",
            "tnr 0.9927\n",
            "tpr 0.9627\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/98.87%/96.27%\n",
            "time: 0.6083\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30113 fp 368 tn 47098 fn 1131\n",
            "accuracy 0.9810\n",
            "precision 0.9879\n",
            "recall 0.9638\n",
            "tnr 0.9922\n",
            "tpr 0.9638\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/98.79%/96.38%\n",
            "time: 0.5940\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30103 fp 358 tn 47139 fn 1110\n",
            "accuracy 0.9813\n",
            "precision 0.9882\n",
            "recall 0.9644\n",
            "tnr 0.9925\n",
            "tpr 0.9644\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.13%/98.82%/96.44%\n",
            "time: 0.6103\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30240 fp 336 tn 46971 fn 1163\n",
            "accuracy 0.9810\n",
            "precision 0.9890\n",
            "recall 0.9630\n",
            "tnr 0.9929\n",
            "tpr 0.9630\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.10%/98.90%/96.30%\n",
            "time: 0.6069\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30198 fp 348 tn 46967 fn 1197\n",
            "accuracy 0.9804\n",
            "precision 0.9886\n",
            "recall 0.9619\n",
            "tnr 0.9926\n",
            "tpr 0.9619\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.04%/98.86%/96.19%\n",
            "time: 0.6066\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30394 fp 317 tn 46911 fn 1088\n",
            "accuracy 0.9821\n",
            "precision 0.9897\n",
            "recall 0.9654\n",
            "tnr 0.9933\n",
            "tpr 0.9654\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.21%/98.97%/96.54%\n",
            "time: 0.6022\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30019 fp 378 tn 47180 fn 1133\n",
            "accuracy 0.9808\n",
            "precision 0.9876\n",
            "recall 0.9636\n",
            "tnr 0.9921\n",
            "tpr 0.9636\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/98.76%/96.36%\n",
            "time: 0.6029\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30161 fp 367 tn 47049 fn 1133\n",
            "accuracy 0.9809\n",
            "precision 0.9880\n",
            "recall 0.9638\n",
            "tnr 0.9923\n",
            "tpr 0.9638\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.09%/98.80%/96.38%\n",
            "time: 0.6085\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30198 fp 355 tn 46997 fn 1160\n",
            "accuracy 0.9808\n",
            "precision 0.9884\n",
            "recall 0.9630\n",
            "tnr 0.9925\n",
            "tpr 0.9630\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/98.84%/96.30%\n",
            "time: 0.6051\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30167 fp 358 tn 47046 fn 1139\n",
            "accuracy 0.9810\n",
            "precision 0.9883\n",
            "recall 0.9636\n",
            "tnr 0.9924\n",
            "tpr 0.9636\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.10%/98.83%/96.36%\n",
            "time: 0.6049\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30378 fp 324 tn 46927 fn 1081\n",
            "accuracy 0.9821\n",
            "precision 0.9894\n",
            "recall 0.9656\n",
            "tnr 0.9931\n",
            "tpr 0.9656\n",
            "f1 0.9774\n",
            "acc/pre/rec:  98.21%/98.94%/96.56%\n",
            "time: 0.6045\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30465 fp 323 tn 46819 fn 1103\n",
            "accuracy 0.9819\n",
            "precision 0.9895\n",
            "recall 0.9651\n",
            "tnr 0.9931\n",
            "tpr 0.9651\n",
            "f1 0.9771\n",
            "acc/pre/rec:  98.19%/98.95%/96.51%\n",
            "time: 0.6055\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30233 fp 355 tn 46991 fn 1131\n",
            "accuracy 0.9811\n",
            "precision 0.9884\n",
            "recall 0.9639\n",
            "tnr 0.9925\n",
            "tpr 0.9639\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.11%/98.84%/96.39%\n",
            "time: 0.6105\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30167 fp 392 tn 47028 fn 1123\n",
            "accuracy 0.9808\n",
            "precision 0.9872\n",
            "recall 0.9641\n",
            "tnr 0.9917\n",
            "tpr 0.9641\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/98.72%/96.41%\n",
            "time: 0.6110\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30302 fp 380 tn 46853 fn 1175\n",
            "accuracy 0.9802\n",
            "precision 0.9876\n",
            "recall 0.9627\n",
            "tnr 0.9920\n",
            "tpr 0.9627\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.02%/98.76%/96.27%\n",
            "time: 0.6099\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29948 fp 347 tn 47227 fn 1188\n",
            "accuracy 0.9805\n",
            "precision 0.9885\n",
            "recall 0.9618\n",
            "tnr 0.9927\n",
            "tpr 0.9618\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.05%/98.85%/96.18%\n",
            "time: 0.6070\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30356 fp 330 tn 46879 fn 1145\n",
            "accuracy 0.9813\n",
            "precision 0.9892\n",
            "recall 0.9637\n",
            "tnr 0.9930\n",
            "tpr 0.9637\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/98.92%/96.37%\n",
            "time: 0.6073\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30273 fp 350 tn 46939 fn 1148\n",
            "accuracy 0.9810\n",
            "precision 0.9886\n",
            "recall 0.9635\n",
            "tnr 0.9926\n",
            "tpr 0.9635\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.10%/98.86%/96.35%\n",
            "time: 0.6042\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30341 fp 347 tn 46869 fn 1153\n",
            "accuracy 0.9809\n",
            "precision 0.9887\n",
            "recall 0.9634\n",
            "tnr 0.9927\n",
            "tpr 0.9634\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.09%/98.87%/96.34%\n",
            "time: 0.6077\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29964 fp 342 tn 47229 fn 1175\n",
            "accuracy 0.9807\n",
            "precision 0.9887\n",
            "recall 0.9623\n",
            "tnr 0.9928\n",
            "tpr 0.9623\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.07%/98.87%/96.23%\n",
            "time: 0.5942\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30427 fp 362 tn 46803 fn 1118\n",
            "accuracy 0.9812\n",
            "precision 0.9882\n",
            "recall 0.9646\n",
            "tnr 0.9923\n",
            "tpr 0.9646\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.12%/98.82%/96.46%\n",
            "time: 0.6033\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30203 fp 354 tn 47052 fn 1101\n",
            "accuracy 0.9815\n",
            "precision 0.9884\n",
            "recall 0.9648\n",
            "tnr 0.9925\n",
            "tpr 0.9648\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/98.84%/96.48%\n",
            "time: 0.5979\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30347 fp 331 tn 46826 fn 1206\n",
            "accuracy 0.9805\n",
            "precision 0.9892\n",
            "recall 0.9618\n",
            "tnr 0.9930\n",
            "tpr 0.9618\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.05%/98.92%/96.18%\n",
            "time: 0.6126\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30409 fp 352 tn 46794 fn 1155\n",
            "accuracy 0.9809\n",
            "precision 0.9886\n",
            "recall 0.9634\n",
            "tnr 0.9925\n",
            "tpr 0.9634\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.09%/98.86%/96.34%\n",
            "time: 0.5921\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29990 fp 322 tn 47200 fn 1198\n",
            "accuracy 0.9807\n",
            "precision 0.9894\n",
            "recall 0.9616\n",
            "tnr 0.9932\n",
            "tpr 0.9616\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.07%/98.94%/96.16%\n",
            "time: 0.6106\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30226 fp 351 tn 47018 fn 1115\n",
            "accuracy 0.9814\n",
            "precision 0.9885\n",
            "recall 0.9644\n",
            "tnr 0.9926\n",
            "tpr 0.9644\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/98.85%/96.44%\n",
            "time: 0.6075\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30222 fp 342 tn 47045 fn 1101\n",
            "accuracy 0.9817\n",
            "precision 0.9888\n",
            "recall 0.9649\n",
            "tnr 0.9928\n",
            "tpr 0.9649\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.17%/98.88%/96.49%\n",
            "time: 0.5928\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30217 fp 387 tn 46916 fn 1190\n",
            "accuracy 0.9800\n",
            "precision 0.9874\n",
            "recall 0.9621\n",
            "tnr 0.9918\n",
            "tpr 0.9621\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.00%/98.74%/96.21%\n",
            "time: 0.6059\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30309 fp 357 tn 46907 fn 1137\n",
            "accuracy 0.9810\n",
            "precision 0.9884\n",
            "recall 0.9638\n",
            "tnr 0.9924\n",
            "tpr 0.9638\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.10%/98.84%/96.38%\n",
            "time: 0.6080\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30194 fp 348 tn 47061 fn 1107\n",
            "accuracy 0.9815\n",
            "precision 0.9886\n",
            "recall 0.9646\n",
            "tnr 0.9927\n",
            "tpr 0.9646\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/98.86%/96.46%\n",
            "time: 0.6075\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30385 fp 355 tn 46873 fn 1097\n",
            "accuracy 0.9816\n",
            "precision 0.9885\n",
            "recall 0.9652\n",
            "tnr 0.9925\n",
            "tpr 0.9652\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/98.85%/96.52%\n",
            "time: 0.6078\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30138 fp 340 tn 47089 fn 1143\n",
            "accuracy 0.9812\n",
            "precision 0.9888\n",
            "recall 0.9635\n",
            "tnr 0.9928\n",
            "tpr 0.9635\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.12%/98.88%/96.35%\n",
            "time: 0.6004\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30208 fp 386 tn 46959 fn 1157\n",
            "accuracy 0.9804\n",
            "precision 0.9874\n",
            "recall 0.9631\n",
            "tnr 0.9918\n",
            "tpr 0.9631\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.04%/98.74%/96.31%\n",
            "time: 0.5984\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30340 fp 350 tn 46927 fn 1093\n",
            "accuracy 0.9817\n",
            "precision 0.9886\n",
            "recall 0.9652\n",
            "tnr 0.9926\n",
            "tpr 0.9652\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/98.86%/96.52%\n",
            "time: 0.6085\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30490 fp 343 tn 46737 fn 1140\n",
            "accuracy 0.9812\n",
            "precision 0.9889\n",
            "recall 0.9640\n",
            "tnr 0.9927\n",
            "tpr 0.9640\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.12%/98.89%/96.40%\n",
            "time: 0.6078\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30418 fp 338 tn 46817 fn 1137\n",
            "accuracy 0.9813\n",
            "precision 0.9890\n",
            "recall 0.9640\n",
            "tnr 0.9928\n",
            "tpr 0.9640\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/98.90%/96.40%\n",
            "time: 0.6088\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30299 fp 348 tn 46893 fn 1170\n",
            "accuracy 0.9807\n",
            "precision 0.9886\n",
            "recall 0.9628\n",
            "tnr 0.9926\n",
            "tpr 0.9628\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.07%/98.86%/96.28%\n",
            "time: 0.6116\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29899 fp 331 tn 47259 fn 1221\n",
            "accuracy 0.9803\n",
            "precision 0.9891\n",
            "recall 0.9608\n",
            "tnr 0.9930\n",
            "tpr 0.9608\n",
            "f1 0.9747\n",
            "acc/pre/rec:  98.03%/98.91%/96.08%\n",
            "time: 0.6088\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30390 fp 354 tn 46869 fn 1097\n",
            "accuracy 0.9816\n",
            "precision 0.9885\n",
            "recall 0.9652\n",
            "tnr 0.9925\n",
            "tpr 0.9652\n",
            "f1 0.9767\n",
            "acc/pre/rec:  98.16%/98.85%/96.52%\n",
            "time: 0.6095\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30224 fp 385 tn 46942 fn 1159\n",
            "accuracy 0.9804\n",
            "precision 0.9874\n",
            "recall 0.9631\n",
            "tnr 0.9919\n",
            "tpr 0.9631\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.04%/98.74%/96.31%\n",
            "time: 0.5955\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30470 fp 350 tn 46664 fn 1226\n",
            "accuracy 0.9800\n",
            "precision 0.9886\n",
            "recall 0.9613\n",
            "tnr 0.9926\n",
            "tpr 0.9613\n",
            "f1 0.9748\n",
            "acc/pre/rec:  98.00%/98.86%/96.13%\n",
            "time: 0.5932\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30274 fp 337 tn 46887 fn 1212\n",
            "accuracy 0.9803\n",
            "precision 0.9890\n",
            "recall 0.9615\n",
            "tnr 0.9929\n",
            "tpr 0.9615\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.03%/98.90%/96.15%\n",
            "time: 0.6096\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30235 fp 375 tn 46922 fn 1178\n",
            "accuracy 0.9803\n",
            "precision 0.9877\n",
            "recall 0.9625\n",
            "tnr 0.9921\n",
            "tpr 0.9625\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.03%/98.77%/96.25%\n",
            "time: 0.6095\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30193 fp 362 tn 46997 fn 1158\n",
            "accuracy 0.9807\n",
            "precision 0.9882\n",
            "recall 0.9631\n",
            "tnr 0.9924\n",
            "tpr 0.9631\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/98.82%/96.31%\n",
            "time: 0.5966\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30399 fp 351 tn 46841 fn 1119\n",
            "accuracy 0.9813\n",
            "precision 0.9886\n",
            "recall 0.9645\n",
            "tnr 0.9926\n",
            "tpr 0.9645\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.13%/98.86%/96.45%\n",
            "time: 0.6075\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30415 fp 378 tn 46793 fn 1124\n",
            "accuracy 0.9809\n",
            "precision 0.9877\n",
            "recall 0.9644\n",
            "tnr 0.9920\n",
            "tpr 0.9644\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.09%/98.77%/96.44%\n",
            "time: 0.6062\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30207 fp 342 tn 47045 fn 1116\n",
            "accuracy 0.9815\n",
            "precision 0.9888\n",
            "recall 0.9644\n",
            "tnr 0.9928\n",
            "tpr 0.9644\n",
            "f1 0.9764\n",
            "acc/pre/rec:  98.15%/98.88%/96.44%\n",
            "time: 0.6072\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30275 fp 369 tn 47002 fn 1064\n",
            "accuracy 0.9818\n",
            "precision 0.9880\n",
            "recall 0.9660\n",
            "tnr 0.9922\n",
            "tpr 0.9660\n",
            "f1 0.9769\n",
            "acc/pre/rec:  98.18%/98.80%/96.60%\n",
            "time: 0.6022\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30225 fp 388 tn 47003 fn 1094\n",
            "accuracy 0.9812\n",
            "precision 0.9873\n",
            "recall 0.9651\n",
            "tnr 0.9918\n",
            "tpr 0.9651\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/98.73%/96.51%\n",
            "time: 0.6080\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30230 fp 370 tn 46977 fn 1133\n",
            "accuracy 0.9809\n",
            "precision 0.9879\n",
            "recall 0.9639\n",
            "tnr 0.9922\n",
            "tpr 0.9639\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.09%/98.79%/96.39%\n",
            "time: 0.6151\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30345 fp 336 tn 46922 fn 1107\n",
            "accuracy 0.9817\n",
            "precision 0.9890\n",
            "recall 0.9648\n",
            "tnr 0.9929\n",
            "tpr 0.9648\n",
            "f1 0.9768\n",
            "acc/pre/rec:  98.17%/98.90%/96.48%\n",
            "time: 0.6061\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30155 fp 374 tn 47079 fn 1102\n",
            "accuracy 0.9812\n",
            "precision 0.9877\n",
            "recall 0.9647\n",
            "tnr 0.9921\n",
            "tpr 0.9647\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/98.77%/96.47%\n",
            "time: 0.6051\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30079 fp 351 tn 47140 fn 1140\n",
            "accuracy 0.9811\n",
            "precision 0.9885\n",
            "recall 0.9635\n",
            "tnr 0.9926\n",
            "tpr 0.9635\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.11%/98.85%/96.35%\n",
            "time: 0.6087\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30252 fp 352 tn 46969 fn 1137\n",
            "accuracy 0.9811\n",
            "precision 0.9885\n",
            "recall 0.9638\n",
            "tnr 0.9926\n",
            "tpr 0.9638\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.11%/98.85%/96.38%\n",
            "time: 0.6082\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30324 fp 330 tn 46930 fn 1126\n",
            "accuracy 0.9815\n",
            "precision 0.9892\n",
            "recall 0.9642\n",
            "tnr 0.9930\n",
            "tpr 0.9642\n",
            "f1 0.9766\n",
            "acc/pre/rec:  98.15%/98.92%/96.42%\n",
            "time: 0.5962\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30390 fp 346 tn 46814 fn 1160\n",
            "accuracy 0.9809\n",
            "precision 0.9887\n",
            "recall 0.9632\n",
            "tnr 0.9927\n",
            "tpr 0.9632\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.09%/98.87%/96.32%\n",
            "time: 0.5968\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30577 fp 367 tn 46635 fn 1131\n",
            "accuracy 0.9810\n",
            "precision 0.9881\n",
            "recall 0.9643\n",
            "tnr 0.9922\n",
            "tpr 0.9643\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.10%/98.81%/96.43%\n",
            "time: 0.6111\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30257 fp 358 tn 46987 fn 1108\n",
            "accuracy 0.9814\n",
            "precision 0.9883\n",
            "recall 0.9647\n",
            "tnr 0.9924\n",
            "tpr 0.9647\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/98.83%/96.47%\n",
            "time: 0.6025\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30088 fp 385 tn 47119 fn 1118\n",
            "accuracy 0.9809\n",
            "precision 0.9874\n",
            "recall 0.9642\n",
            "tnr 0.9919\n",
            "tpr 0.9642\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.09%/98.74%/96.42%\n",
            "time: 0.6069\n",
            "Inference time: avg time 0.6061 stdev 0.0098\n",
            "\n",
            "done...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py --graph_name rand5k --gpu 0 --n-layers 2 --reduce_edge_feature 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "29zRYOBcV-Mh",
        "outputId": "66a2a4b7-fea0-4b93-bc1a-cf1321f1b782"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(db_name='top10k', graph_name='rand5k', g_to_merge=None, dropout=0, gpu=0, lr=0.005, n_epochs=1000, n_hidden=16, n_layers=2, weight_decay=0.0005, r_train=0.8, r_test=0.1, testing_option=3, r_val=0.1, model_name='tmp_model_name', file_to_write='', fold=5, reduce_edge_feature=1)\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "/usr/local/lib/python3.9/dist-packages/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`.\n",
            "  dgl_warning('Recommend creating graphs by `dgl.graph(data)`'\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 1666])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "\n",
            "************initilize model************\n",
            "WTAGNN(\n",
            "  (layers): ModuleList(\n",
            "    (0-1): 2 x WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=32, out_features=16, bias=True)\n",
            "      )\n",
            "    )\n",
            "    (2): WTAGNNLayer(\n",
            "      (node_update): NodeApplyModule()\n",
            "      (edge_update): EdgeApplyModule(\n",
            "        (my_dense): Linear(in_features=4, out_features=2, bias=True)\n",
            "      )\n",
            "    )\n",
            "  )\n",
            ")\n",
            "using gpu: 0\n",
            "\n",
            "************start training************\n",
            "Epoch 00000 | Time(s) 2.1506 | Loss 1.9315 | Accuracy 0.4952 | ETputs(KTEPS) 366.00\n",
            "Epoch 00001 | Time(s) 1.0737 | Loss 0.7822 | Accuracy 0.5705 | ETputs(KTEPS) 488.24\n",
            "Epoch 00002 | Time(s) 1.0707 | Loss 0.9370 | Accuracy 0.5936 | ETputs(KTEPS) 549.79\n",
            "Epoch 00003 | Time(s) 1.0799 | Loss 0.7255 | Accuracy 0.6154 | ETputs(KTEPS) 585.77\n",
            "Epoch 00004 | Time(s) 1.1367 | Loss 0.6574 | Accuracy 0.5417 | ETputs(KTEPS) 604.39\n",
            "Epoch 00005 | Time(s) 1.0714 | Loss 0.7118 | Accuracy 0.6237 | ETputs(KTEPS) 622.79\n",
            "Epoch 00006 | Time(s) 1.0936 | Loss 0.6385 | Accuracy 0.7075 | ETputs(KTEPS) 635.01\n",
            "Epoch 00007 | Time(s) 1.0677 | Loss 0.5672 | Accuracy 0.7225 | ETputs(KTEPS) 646.20\n",
            "Epoch 00008 | Time(s) 1.0747 | Loss 0.5483 | Accuracy 0.7277 | ETputs(KTEPS) 654.77\n",
            "Epoch 00009 | Time(s) 1.0625 | Loss 0.5453 | Accuracy 0.7366 | ETputs(KTEPS) 662.46\n",
            "Epoch 00010 | Time(s) 1.0762 | Loss 0.5298 | Accuracy 0.7493 | ETputs(KTEPS) 668.18\n",
            "Epoch 00011 | Time(s) 1.0729 | Loss 0.5091 | Accuracy 0.7694 | ETputs(KTEPS) 673.19\n",
            "Epoch 00012 | Time(s) 1.0715 | Loss 0.4960 | Accuracy 0.7739 | ETputs(KTEPS) 677.55\n",
            "Epoch 00013 | Time(s) 1.0719 | Loss 0.4893 | Accuracy 0.7750 | ETputs(KTEPS) 681.31\n",
            "Epoch 00014 | Time(s) 1.0546 | Loss 0.4794 | Accuracy 0.7825 | ETputs(KTEPS) 685.29\n",
            "Epoch 00015 | Time(s) 1.1600 | Loss 0.4639 | Accuracy 0.7918 | ETputs(KTEPS) 684.86\n",
            "Epoch 00016 | Time(s) 1.0719 | Loss 0.4476 | Accuracy 0.7957 | ETputs(KTEPS) 687.59\n",
            "Epoch 00017 | Time(s) 1.0560 | Loss 0.4344 | Accuracy 0.8030 | ETputs(KTEPS) 690.56\n",
            "Epoch 00018 | Time(s) 1.0763 | Loss 0.4225 | Accuracy 0.8113 | ETputs(KTEPS) 692.59\n",
            "Epoch 00019 | Time(s) 1.0824 | Loss 0.4090 | Accuracy 0.8198 | ETputs(KTEPS) 694.24\n",
            "Epoch 00020 | Time(s) 1.0743 | Loss 0.3973 | Accuracy 0.8261 | ETputs(KTEPS) 695.98\n",
            "Epoch 00021 | Time(s) 1.0539 | Loss 0.3891 | Accuracy 0.8324 | ETputs(KTEPS) 698.14\n",
            "Epoch 00022 | Time(s) 1.0558 | Loss 0.3799 | Accuracy 0.8392 | ETputs(KTEPS) 700.07\n",
            "Epoch 00023 | Time(s) 1.0495 | Loss 0.3685 | Accuracy 0.8450 | ETputs(KTEPS) 702.02\n",
            "Epoch 00024 | Time(s) 1.0736 | Loss 0.3589 | Accuracy 0.8500 | ETputs(KTEPS) 703.21\n",
            "Epoch 00025 | Time(s) 1.0770 | Loss 0.3498 | Accuracy 0.8609 | ETputs(KTEPS) 704.24\n",
            "Epoch 00026 | Time(s) 1.0632 | Loss 0.3388 | Accuracy 0.8653 | ETputs(KTEPS) 705.51\n",
            "Epoch 00027 | Time(s) 1.0762 | Loss 0.3296 | Accuracy 0.8709 | ETputs(KTEPS) 706.40\n",
            "Epoch 00028 | Time(s) 1.0815 | Loss 0.3225 | Accuracy 0.8747 | ETputs(KTEPS) 707.12\n",
            "Epoch 00029 | Time(s) 1.0768 | Loss 0.3149 | Accuracy 0.8714 | ETputs(KTEPS) 707.89\n",
            "Epoch 00030 | Time(s) 1.0498 | Loss 0.3091 | Accuracy 0.8735 | ETputs(KTEPS) 709.16\n",
            "Epoch 00031 | Time(s) 1.0777 | Loss 0.3043 | Accuracy 0.8764 | ETputs(KTEPS) 709.81\n",
            "Epoch 00032 | Time(s) 1.0755 | Loss 0.2983 | Accuracy 0.8821 | ETputs(KTEPS) 710.46\n",
            "Epoch 00033 | Time(s) 1.0672 | Loss 0.2929 | Accuracy 0.8870 | ETputs(KTEPS) 711.23\n",
            "Epoch 00034 | Time(s) 1.0704 | Loss 0.2880 | Accuracy 0.8904 | ETputs(KTEPS) 711.89\n",
            "Epoch 00035 | Time(s) 1.0632 | Loss 0.2823 | Accuracy 0.8940 | ETputs(KTEPS) 712.65\n",
            "Epoch 00036 | Time(s) 1.0761 | Loss 0.2776 | Accuracy 0.8965 | ETputs(KTEPS) 713.15\n",
            "Epoch 00037 | Time(s) 1.0674 | Loss 0.2736 | Accuracy 0.8956 | ETputs(KTEPS) 713.77\n",
            "Epoch 00038 | Time(s) 1.1769 | Loss 0.2691 | Accuracy 0.8949 | ETputs(KTEPS) 712.54\n",
            "Epoch 00039 | Time(s) 1.0696 | Loss 0.2652 | Accuracy 0.8963 | ETputs(KTEPS) 713.10\n",
            "Epoch 00040 | Time(s) 1.0824 | Loss 0.2616 | Accuracy 0.9005 | ETputs(KTEPS) 713.44\n",
            "Epoch 00041 | Time(s) 1.0752 | Loss 0.2574 | Accuracy 0.9074 | ETputs(KTEPS) 713.87\n",
            "Epoch 00042 | Time(s) 1.0673 | Loss 0.2536 | Accuracy 0.9097 | ETputs(KTEPS) 714.40\n",
            "Epoch 00043 | Time(s) 1.0785 | Loss 0.2500 | Accuracy 0.9116 | ETputs(KTEPS) 714.75\n",
            "Epoch 00044 | Time(s) 1.0835 | Loss 0.2462 | Accuracy 0.9126 | ETputs(KTEPS) 715.00\n",
            "Epoch 00045 | Time(s) 1.0604 | Loss 0.2429 | Accuracy 0.9137 | ETputs(KTEPS) 715.58\n",
            "Epoch 00046 | Time(s) 1.0734 | Loss 0.2398 | Accuracy 0.9152 | ETputs(KTEPS) 715.94\n",
            "Epoch 00047 | Time(s) 1.0728 | Loss 0.2366 | Accuracy 0.9167 | ETputs(KTEPS) 716.30\n",
            "Epoch 00048 | Time(s) 1.0738 | Loss 0.2339 | Accuracy 0.9179 | ETputs(KTEPS) 716.64\n",
            "Epoch 00049 | Time(s) 1.1476 | Loss 0.2312 | Accuracy 0.9191 | ETputs(KTEPS) 715.99\n",
            "Epoch 00050 | Time(s) 1.0747 | Loss 0.2286 | Accuracy 0.9197 | ETputs(KTEPS) 716.31\n",
            "Epoch 00051 | Time(s) 1.0769 | Loss 0.2262 | Accuracy 0.9205 | ETputs(KTEPS) 716.58\n",
            "Epoch 00052 | Time(s) 1.0723 | Loss 0.2238 | Accuracy 0.9219 | ETputs(KTEPS) 716.91\n",
            "Epoch 00053 | Time(s) 1.0690 | Loss 0.2214 | Accuracy 0.9228 | ETputs(KTEPS) 717.26\n",
            "Epoch 00054 | Time(s) 1.0720 | Loss 0.2191 | Accuracy 0.9230 | ETputs(KTEPS) 717.56\n",
            "Epoch 00055 | Time(s) 1.0665 | Loss 0.2168 | Accuracy 0.9236 | ETputs(KTEPS) 717.91\n",
            "Epoch 00056 | Time(s) 1.0917 | Loss 0.2147 | Accuracy 0.9247 | ETputs(KTEPS) 717.97\n",
            "Epoch 00057 | Time(s) 1.0723 | Loss 0.2126 | Accuracy 0.9262 | ETputs(KTEPS) 718.24\n",
            "Epoch 00058 | Time(s) 1.0735 | Loss 0.2106 | Accuracy 0.9269 | ETputs(KTEPS) 718.49\n",
            "Epoch 00059 | Time(s) 1.0778 | Loss 0.2087 | Accuracy 0.9277 | ETputs(KTEPS) 718.68\n",
            "Epoch 00060 | Time(s) 1.0777 | Loss 0.2069 | Accuracy 0.9281 | ETputs(KTEPS) 718.87\n",
            "Epoch 00061 | Time(s) 1.0705 | Loss 0.2051 | Accuracy 0.9290 | ETputs(KTEPS) 719.13\n",
            "Epoch 00062 | Time(s) 1.0731 | Loss 0.2033 | Accuracy 0.9297 | ETputs(KTEPS) 719.35\n",
            "Epoch 00063 | Time(s) 1.0646 | Loss 0.2016 | Accuracy 0.9303 | ETputs(KTEPS) 719.66\n",
            "Epoch 00064 | Time(s) 1.1459 | Loss 0.1999 | Accuracy 0.9306 | ETputs(KTEPS) 719.13\n",
            "Epoch 00065 | Time(s) 1.0762 | Loss 0.1982 | Accuracy 0.9312 | ETputs(KTEPS) 719.31\n",
            "Epoch 00066 | Time(s) 1.0772 | Loss 0.1967 | Accuracy 0.9320 | ETputs(KTEPS) 719.48\n",
            "Epoch 00067 | Time(s) 1.0659 | Loss 0.1950 | Accuracy 0.9329 | ETputs(KTEPS) 719.75\n",
            "Epoch 00068 | Time(s) 1.0626 | Loss 0.1935 | Accuracy 0.9336 | ETputs(KTEPS) 720.05\n",
            "Epoch 00069 | Time(s) 1.0823 | Loss 0.1919 | Accuracy 0.9342 | ETputs(KTEPS) 720.15\n",
            "Epoch 00070 | Time(s) 1.0652 | Loss 0.1905 | Accuracy 0.9349 | ETputs(KTEPS) 720.41\n",
            "Epoch 00071 | Time(s) 1.0623 | Loss 0.1890 | Accuracy 0.9355 | ETputs(KTEPS) 720.68\n",
            "Epoch 00072 | Time(s) 1.0534 | Loss 0.1876 | Accuracy 0.9358 | ETputs(KTEPS) 721.03\n",
            "Epoch 00073 | Time(s) 1.0618 | Loss 0.1862 | Accuracy 0.9361 | ETputs(KTEPS) 721.30\n",
            "Epoch 00074 | Time(s) 1.0685 | Loss 0.1848 | Accuracy 0.9367 | ETputs(KTEPS) 721.50\n",
            "Epoch 00075 | Time(s) 1.1450 | Loss 0.1834 | Accuracy 0.9372 | ETputs(KTEPS) 721.03\n",
            "Epoch 00076 | Time(s) 1.0577 | Loss 0.1821 | Accuracy 0.9375 | ETputs(KTEPS) 721.32\n",
            "Epoch 00077 | Time(s) 1.0639 | Loss 0.1807 | Accuracy 0.9378 | ETputs(KTEPS) 721.55\n",
            "Epoch 00078 | Time(s) 1.0750 | Loss 0.1794 | Accuracy 0.9383 | ETputs(KTEPS) 721.69\n",
            "Epoch 00079 | Time(s) 1.0720 | Loss 0.1781 | Accuracy 0.9390 | ETputs(KTEPS) 721.84\n",
            "Epoch 00080 | Time(s) 1.0675 | Loss 0.1769 | Accuracy 0.9394 | ETputs(KTEPS) 722.03\n",
            "Epoch 00081 | Time(s) 1.0678 | Loss 0.1756 | Accuracy 0.9398 | ETputs(KTEPS) 722.21\n",
            "Epoch 00082 | Time(s) 1.0670 | Loss 0.1744 | Accuracy 0.9401 | ETputs(KTEPS) 722.39\n",
            "Epoch 00083 | Time(s) 1.0737 | Loss 0.1732 | Accuracy 0.9408 | ETputs(KTEPS) 722.52\n",
            "Epoch 00084 | Time(s) 1.0769 | Loss 0.1720 | Accuracy 0.9412 | ETputs(KTEPS) 722.61\n",
            "Epoch 00085 | Time(s) 1.0788 | Loss 0.1709 | Accuracy 0.9417 | ETputs(KTEPS) 722.69\n",
            "Epoch 00086 | Time(s) 1.0680 | Loss 0.1697 | Accuracy 0.9422 | ETputs(KTEPS) 722.86\n",
            "Epoch 00087 | Time(s) 1.0761 | Loss 0.1686 | Accuracy 0.9427 | ETputs(KTEPS) 722.95\n",
            "Epoch 00088 | Time(s) 1.0753 | Loss 0.1675 | Accuracy 0.9433 | ETputs(KTEPS) 723.05\n",
            "Epoch 00089 | Time(s) 1.0782 | Loss 0.1664 | Accuracy 0.9438 | ETputs(KTEPS) 723.13\n",
            "Epoch 00090 | Time(s) 1.0522 | Loss 0.1653 | Accuracy 0.9444 | ETputs(KTEPS) 723.39\n",
            "Epoch 00091 | Time(s) 1.0696 | Loss 0.1642 | Accuracy 0.9445 | ETputs(KTEPS) 723.53\n",
            "Epoch 00092 | Time(s) 1.0719 | Loss 0.1632 | Accuracy 0.9451 | ETputs(KTEPS) 723.64\n",
            "Epoch 00093 | Time(s) 1.0679 | Loss 0.1621 | Accuracy 0.9456 | ETputs(KTEPS) 723.78\n",
            "Epoch 00094 | Time(s) 1.0755 | Loss 0.1611 | Accuracy 0.9461 | ETputs(KTEPS) 723.87\n",
            "Epoch 00095 | Time(s) 1.0796 | Loss 0.1601 | Accuracy 0.9466 | ETputs(KTEPS) 723.92\n",
            "Epoch 00096 | Time(s) 1.0775 | Loss 0.1591 | Accuracy 0.9469 | ETputs(KTEPS) 723.99\n",
            "Epoch 00097 | Time(s) 1.0699 | Loss 0.1581 | Accuracy 0.9471 | ETputs(KTEPS) 724.11\n",
            "Epoch 00098 | Time(s) 1.1434 | Loss 0.1571 | Accuracy 0.9475 | ETputs(KTEPS) 723.73\n",
            "Epoch 00099 | Time(s) 1.0821 | Loss 0.1562 | Accuracy 0.9481 | ETputs(KTEPS) 723.76\n",
            "Epoch 00100 | Time(s) 1.0772 | Loss 0.1552 | Accuracy 0.9485 | ETputs(KTEPS) 723.83\n",
            "Epoch 00101 | Time(s) 1.0805 | Loss 0.1543 | Accuracy 0.9488 | ETputs(KTEPS) 723.88\n",
            "Epoch 00102 | Time(s) 1.0663 | Loss 0.1533 | Accuracy 0.9493 | ETputs(KTEPS) 724.01\n",
            "Epoch 00103 | Time(s) 1.0720 | Loss 0.1524 | Accuracy 0.9498 | ETputs(KTEPS) 724.11\n",
            "Epoch 00104 | Time(s) 1.0609 | Loss 0.1515 | Accuracy 0.9501 | ETputs(KTEPS) 724.27\n",
            "Epoch 00105 | Time(s) 1.0742 | Loss 0.1506 | Accuracy 0.9505 | ETputs(KTEPS) 724.35\n",
            "Epoch 00106 | Time(s) 1.0755 | Loss 0.1497 | Accuracy 0.9507 | ETputs(KTEPS) 724.42\n",
            "Epoch 00107 | Time(s) 1.0722 | Loss 0.1489 | Accuracy 0.9510 | ETputs(KTEPS) 724.51\n",
            "Epoch 00108 | Time(s) 1.0652 | Loss 0.1480 | Accuracy 0.9514 | ETputs(KTEPS) 724.64\n",
            "Epoch 00109 | Time(s) 1.1496 | Loss 0.1471 | Accuracy 0.9519 | ETputs(KTEPS) 724.26\n",
            "Epoch 00110 | Time(s) 1.0558 | Loss 0.1463 | Accuracy 0.9522 | ETputs(KTEPS) 724.44\n",
            "Epoch 00111 | Time(s) 1.0700 | Loss 0.1454 | Accuracy 0.9528 | ETputs(KTEPS) 724.54\n",
            "Epoch 00112 | Time(s) 1.0632 | Loss 0.1446 | Accuracy 0.9529 | ETputs(KTEPS) 724.68\n",
            "Epoch 00113 | Time(s) 1.0773 | Loss 0.1438 | Accuracy 0.9534 | ETputs(KTEPS) 724.73\n",
            "Epoch 00114 | Time(s) 1.0830 | Loss 0.1430 | Accuracy 0.9533 | ETputs(KTEPS) 724.75\n",
            "Epoch 00115 | Time(s) 1.0538 | Loss 0.1424 | Accuracy 0.9546 | ETputs(KTEPS) 724.93\n",
            "Epoch 00116 | Time(s) 1.0902 | Loss 0.1420 | Accuracy 0.9531 | ETputs(KTEPS) 724.91\n",
            "Epoch 00117 | Time(s) 1.0699 | Loss 0.1425 | Accuracy 0.9539 | ETputs(KTEPS) 725.00\n",
            "Epoch 00118 | Time(s) 1.0711 | Loss 0.1449 | Accuracy 0.9486 | ETputs(KTEPS) 725.08\n",
            "Epoch 00119 | Time(s) 1.0740 | Loss 0.1502 | Accuracy 0.9511 | ETputs(KTEPS) 725.14\n",
            "Epoch 00120 | Time(s) 1.0810 | Loss 0.1517 | Accuracy 0.9520 | ETputs(KTEPS) 725.17\n",
            "Epoch 00121 | Time(s) 1.0738 | Loss 0.1432 | Accuracy 0.9544 | ETputs(KTEPS) 725.23\n",
            "Epoch 00122 | Time(s) 1.0893 | Loss 0.1382 | Accuracy 0.9538 | ETputs(KTEPS) 725.21\n",
            "Epoch 00123 | Time(s) 1.0747 | Loss 0.1440 | Accuracy 0.9539 | ETputs(KTEPS) 725.27\n",
            "Epoch 00124 | Time(s) 1.1621 | Loss 0.1398 | Accuracy 0.9565 | ETputs(KTEPS) 724.86\n",
            "Epoch 00125 | Time(s) 1.0763 | Loss 0.1360 | Accuracy 0.9555 | ETputs(KTEPS) 724.91\n",
            "Epoch 00126 | Time(s) 1.0720 | Loss 0.1402 | Accuracy 0.9550 | ETputs(KTEPS) 724.98\n",
            "Epoch 00127 | Time(s) 1.0658 | Loss 0.1367 | Accuracy 0.9563 | ETputs(KTEPS) 725.08\n",
            "Epoch 00128 | Time(s) 1.0711 | Loss 0.1342 | Accuracy 0.9570 | ETputs(KTEPS) 725.16\n",
            "Epoch 00129 | Time(s) 1.0757 | Loss 0.1371 | Accuracy 0.9559 | ETputs(KTEPS) 725.21\n",
            "Epoch 00130 | Time(s) 1.0929 | Loss 0.1337 | Accuracy 0.9573 | ETputs(KTEPS) 725.17\n",
            "Epoch 00131 | Time(s) 1.0701 | Loss 0.1325 | Accuracy 0.9579 | ETputs(KTEPS) 725.25\n",
            "Epoch 00132 | Time(s) 1.0634 | Loss 0.1345 | Accuracy 0.9577 | ETputs(KTEPS) 725.36\n",
            "Epoch 00133 | Time(s) 1.0723 | Loss 0.1317 | Accuracy 0.9583 | ETputs(KTEPS) 725.42\n",
            "Epoch 00134 | Time(s) 1.0570 | Loss 0.1302 | Accuracy 0.9588 | ETputs(KTEPS) 725.56\n",
            "Epoch 00135 | Time(s) 1.1361 | Loss 0.1318 | Accuracy 0.9578 | ETputs(KTEPS) 725.31\n",
            "Epoch 00136 | Time(s) 1.0832 | Loss 0.1300 | Accuracy 0.9589 | ETputs(KTEPS) 725.32\n",
            "Epoch 00137 | Time(s) 1.0758 | Loss 0.1282 | Accuracy 0.9594 | ETputs(KTEPS) 725.36\n",
            "Epoch 00138 | Time(s) 1.0727 | Loss 0.1292 | Accuracy 0.9583 | ETputs(KTEPS) 725.42\n",
            "Epoch 00139 | Time(s) 1.0719 | Loss 0.1286 | Accuracy 0.9599 | ETputs(KTEPS) 725.49\n",
            "Epoch 00140 | Time(s) 1.0754 | Loss 0.1265 | Accuracy 0.9600 | ETputs(KTEPS) 725.53\n",
            "Epoch 00141 | Time(s) 1.0724 | Loss 0.1264 | Accuracy 0.9588 | ETputs(KTEPS) 725.59\n",
            "Epoch 00142 | Time(s) 1.0787 | Loss 0.1268 | Accuracy 0.9604 | ETputs(KTEPS) 725.62\n",
            "Epoch 00143 | Time(s) 1.0625 | Loss 0.1257 | Accuracy 0.9604 | ETputs(KTEPS) 725.72\n",
            "Epoch 00144 | Time(s) 1.0714 | Loss 0.1242 | Accuracy 0.9601 | ETputs(KTEPS) 725.78\n",
            "Epoch 00145 | Time(s) 1.0662 | Loss 0.1240 | Accuracy 0.9609 | ETputs(KTEPS) 725.87\n",
            "Epoch 00146 | Time(s) 1.0700 | Loss 0.1242 | Accuracy 0.9599 | ETputs(KTEPS) 725.93\n",
            "Epoch 00147 | Time(s) 1.0640 | Loss 0.1237 | Accuracy 0.9611 | ETputs(KTEPS) 726.02\n",
            "Epoch 00148 | Time(s) 1.0716 | Loss 0.1226 | Accuracy 0.9611 | ETputs(KTEPS) 726.08\n",
            "Epoch 00149 | Time(s) 1.0824 | Loss 0.1215 | Accuracy 0.9614 | ETputs(KTEPS) 726.09\n",
            "Epoch 00150 | Time(s) 1.0710 | Loss 0.1210 | Accuracy 0.9616 | ETputs(KTEPS) 726.15\n",
            "Epoch 00151 | Time(s) 1.0757 | Loss 0.1209 | Accuracy 0.9611 | ETputs(KTEPS) 726.18\n",
            "Epoch 00152 | Time(s) 1.0800 | Loss 0.1208 | Accuracy 0.9617 | ETputs(KTEPS) 726.20\n",
            "Epoch 00153 | Time(s) 1.0761 | Loss 0.1206 | Accuracy 0.9613 | ETputs(KTEPS) 726.23\n",
            "Epoch 00154 | Time(s) 1.0811 | Loss 0.1201 | Accuracy 0.9620 | ETputs(KTEPS) 726.24\n",
            "Epoch 00155 | Time(s) 1.1006 | Loss 0.1194 | Accuracy 0.9621 | ETputs(KTEPS) 726.17\n",
            "Epoch 00156 | Time(s) 1.0674 | Loss 0.1186 | Accuracy 0.9624 | ETputs(KTEPS) 726.24\n",
            "Epoch 00157 | Time(s) 1.0631 | Loss 0.1177 | Accuracy 0.9628 | ETputs(KTEPS) 726.33\n",
            "Epoch 00158 | Time(s) 1.1590 | Loss 0.1170 | Accuracy 0.9631 | ETputs(KTEPS) 726.01\n",
            "Epoch 00159 | Time(s) 1.0804 | Loss 0.1163 | Accuracy 0.9633 | ETputs(KTEPS) 726.03\n",
            "Epoch 00160 | Time(s) 1.0759 | Loss 0.1157 | Accuracy 0.9634 | ETputs(KTEPS) 726.06\n",
            "Epoch 00161 | Time(s) 1.1052 | Loss 0.1152 | Accuracy 0.9636 | ETputs(KTEPS) 725.98\n",
            "Epoch 00162 | Time(s) 1.0767 | Loss 0.1147 | Accuracy 0.9636 | ETputs(KTEPS) 726.01\n",
            "Epoch 00163 | Time(s) 1.0799 | Loss 0.1142 | Accuracy 0.9639 | ETputs(KTEPS) 726.02\n",
            "Epoch 00164 | Time(s) 1.0616 | Loss 0.1140 | Accuracy 0.9640 | ETputs(KTEPS) 726.12\n",
            "Epoch 00165 | Time(s) 1.0791 | Loss 0.1143 | Accuracy 0.9618 | ETputs(KTEPS) 726.14\n",
            "Epoch 00166 | Time(s) 1.0768 | Loss 0.1168 | Accuracy 0.9597 | ETputs(KTEPS) 726.16\n",
            "Epoch 00167 | Time(s) 1.0845 | Loss 0.1275 | Accuracy 0.9389 | ETputs(KTEPS) 726.16\n",
            "Epoch 00168 | Time(s) 1.0704 | Loss 0.1663 | Accuracy 0.9013 | ETputs(KTEPS) 726.22\n",
            "Epoch 00169 | Time(s) 1.1410 | Loss 0.2556 | Accuracy 0.9203 | ETputs(KTEPS) 725.99\n",
            "Epoch 00170 | Time(s) 1.0758 | Loss 0.2075 | Accuracy 0.9543 | ETputs(KTEPS) 726.02\n",
            "Epoch 00171 | Time(s) 1.0796 | Loss 0.1391 | Accuracy 0.9344 | ETputs(KTEPS) 726.04\n",
            "Epoch 00172 | Time(s) 1.0796 | Loss 0.1651 | Accuracy 0.9447 | ETputs(KTEPS) 726.06\n",
            "Epoch 00173 | Time(s) 1.0888 | Loss 0.1546 | Accuracy 0.9575 | ETputs(KTEPS) 726.04\n",
            "Epoch 00174 | Time(s) 1.0747 | Loss 0.1313 | Accuracy 0.9481 | ETputs(KTEPS) 726.08\n",
            "Epoch 00175 | Time(s) 1.0623 | Loss 0.1547 | Accuracy 0.9544 | ETputs(KTEPS) 726.16\n",
            "Epoch 00176 | Time(s) 1.0801 | Loss 0.1376 | Accuracy 0.9548 | ETputs(KTEPS) 726.17\n",
            "Epoch 00177 | Time(s) 1.0749 | Loss 0.1375 | Accuracy 0.9562 | ETputs(KTEPS) 726.21\n",
            "Epoch 00178 | Time(s) 1.0683 | Loss 0.1336 | Accuracy 0.9601 | ETputs(KTEPS) 726.27\n",
            "Epoch 00179 | Time(s) 1.0686 | Loss 0.1261 | Accuracy 0.9575 | ETputs(KTEPS) 726.32\n",
            "Epoch 00180 | Time(s) 1.0761 | Loss 0.1329 | Accuracy 0.9575 | ETputs(KTEPS) 726.35\n",
            "Epoch 00181 | Time(s) 1.0692 | Loss 0.1320 | Accuracy 0.9584 | ETputs(KTEPS) 726.40\n",
            "Epoch 00182 | Time(s) 1.0736 | Loss 0.1291 | Accuracy 0.9600 | ETputs(KTEPS) 726.44\n",
            "Epoch 00183 | Time(s) 1.0729 | Loss 0.1263 | Accuracy 0.9624 | ETputs(KTEPS) 726.48\n",
            "Epoch 00184 | Time(s) 1.1489 | Loss 0.1203 | Accuracy 0.9611 | ETputs(KTEPS) 726.24\n",
            "Epoch 00185 | Time(s) 1.0797 | Loss 0.1208 | Accuracy 0.9590 | ETputs(KTEPS) 726.26\n",
            "Epoch 00186 | Time(s) 1.0735 | Loss 0.1233 | Accuracy 0.9606 | ETputs(KTEPS) 726.29\n",
            "Epoch 00187 | Time(s) 1.0662 | Loss 0.1215 | Accuracy 0.9616 | ETputs(KTEPS) 726.36\n",
            "Epoch 00188 | Time(s) 1.0690 | Loss 0.1186 | Accuracy 0.9629 | ETputs(KTEPS) 726.41\n",
            "Epoch 00189 | Time(s) 1.0664 | Loss 0.1160 | Accuracy 0.9626 | ETputs(KTEPS) 726.47\n",
            "Epoch 00190 | Time(s) 1.0650 | Loss 0.1153 | Accuracy 0.9626 | ETputs(KTEPS) 726.53\n",
            "Epoch 00191 | Time(s) 1.0707 | Loss 0.1157 | Accuracy 0.9632 | ETputs(KTEPS) 726.58\n",
            "Epoch 00192 | Time(s) 1.0801 | Loss 0.1151 | Accuracy 0.9637 | ETputs(KTEPS) 726.59\n",
            "Epoch 00193 | Time(s) 1.0750 | Loss 0.1139 | Accuracy 0.9641 | ETputs(KTEPS) 726.62\n",
            "Epoch 00194 | Time(s) 1.0778 | Loss 0.1129 | Accuracy 0.9648 | ETputs(KTEPS) 726.64\n",
            "Epoch 00195 | Time(s) 1.1436 | Loss 0.1119 | Accuracy 0.9650 | ETputs(KTEPS) 726.43\n",
            "Epoch 00196 | Time(s) 1.0732 | Loss 0.1108 | Accuracy 0.9654 | ETputs(KTEPS) 726.47\n",
            "Epoch 00197 | Time(s) 1.0543 | Loss 0.1099 | Accuracy 0.9654 | ETputs(KTEPS) 726.56\n",
            "Epoch 00198 | Time(s) 1.0935 | Loss 0.1093 | Accuracy 0.9655 | ETputs(KTEPS) 726.53\n",
            "Epoch 00199 | Time(s) 1.0985 | Loss 0.1090 | Accuracy 0.9653 | ETputs(KTEPS) 726.48\n",
            "Epoch 00200 | Time(s) 1.0658 | Loss 0.1081 | Accuracy 0.9657 | ETputs(KTEPS) 726.54\n",
            "Epoch 00201 | Time(s) 1.0771 | Loss 0.1075 | Accuracy 0.9658 | ETputs(KTEPS) 726.56\n",
            "Epoch 00202 | Time(s) 1.0790 | Loss 0.1072 | Accuracy 0.9665 | ETputs(KTEPS) 726.57\n",
            "Epoch 00203 | Time(s) 1.0752 | Loss 0.1066 | Accuracy 0.9667 | ETputs(KTEPS) 726.60\n",
            "Epoch 00204 | Time(s) 1.1237 | Loss 0.1059 | Accuracy 0.9669 | ETputs(KTEPS) 726.47\n",
            "Epoch 00205 | Time(s) 1.0926 | Loss 0.1052 | Accuracy 0.9674 | ETputs(KTEPS) 726.44\n",
            "Epoch 00206 | Time(s) 1.0581 | Loss 0.1049 | Accuracy 0.9676 | ETputs(KTEPS) 726.52\n",
            "Epoch 00207 | Time(s) 1.0680 | Loss 0.1044 | Accuracy 0.9677 | ETputs(KTEPS) 726.57\n",
            "Epoch 00208 | Time(s) 1.0714 | Loss 0.1038 | Accuracy 0.9677 | ETputs(KTEPS) 726.61\n",
            "Epoch 00209 | Time(s) 1.0656 | Loss 0.1034 | Accuracy 0.9680 | ETputs(KTEPS) 726.66\n",
            "Epoch 00210 | Time(s) 1.0801 | Loss 0.1030 | Accuracy 0.9679 | ETputs(KTEPS) 726.67\n",
            "Epoch 00211 | Time(s) 1.0790 | Loss 0.1026 | Accuracy 0.9681 | ETputs(KTEPS) 726.69\n",
            "Epoch 00212 | Time(s) 1.0727 | Loss 0.1020 | Accuracy 0.9682 | ETputs(KTEPS) 726.72\n",
            "Epoch 00213 | Time(s) 1.0782 | Loss 0.1016 | Accuracy 0.9684 | ETputs(KTEPS) 726.74\n",
            "Epoch 00214 | Time(s) 1.0754 | Loss 0.1013 | Accuracy 0.9680 | ETputs(KTEPS) 726.76\n",
            "Epoch 00215 | Time(s) 1.0883 | Loss 0.1010 | Accuracy 0.9681 | ETputs(KTEPS) 726.74\n",
            "Epoch 00216 | Time(s) 1.0775 | Loss 0.1005 | Accuracy 0.9683 | ETputs(KTEPS) 726.76\n",
            "Epoch 00217 | Time(s) 1.0916 | Loss 0.1002 | Accuracy 0.9686 | ETputs(KTEPS) 726.73\n",
            "Epoch 00218 | Time(s) 1.1472 | Loss 0.0998 | Accuracy 0.9687 | ETputs(KTEPS) 726.54\n",
            "Epoch 00219 | Time(s) 1.0690 | Loss 0.0994 | Accuracy 0.9689 | ETputs(KTEPS) 726.58\n",
            "Epoch 00220 | Time(s) 1.0889 | Loss 0.0990 | Accuracy 0.9692 | ETputs(KTEPS) 726.56\n",
            "Epoch 00221 | Time(s) 1.0566 | Loss 0.0987 | Accuracy 0.9693 | ETputs(KTEPS) 726.65\n",
            "Epoch 00222 | Time(s) 1.0631 | Loss 0.0984 | Accuracy 0.9692 | ETputs(KTEPS) 726.71\n",
            "Epoch 00223 | Time(s) 1.0799 | Loss 0.0980 | Accuracy 0.9693 | ETputs(KTEPS) 726.72\n",
            "Epoch 00224 | Time(s) 1.0816 | Loss 0.0977 | Accuracy 0.9695 | ETputs(KTEPS) 726.72\n",
            "Epoch 00225 | Time(s) 1.0846 | Loss 0.0973 | Accuracy 0.9696 | ETputs(KTEPS) 726.72\n",
            "Epoch 00226 | Time(s) 1.0561 | Loss 0.0970 | Accuracy 0.9696 | ETputs(KTEPS) 726.80\n",
            "Epoch 00227 | Time(s) 1.0645 | Loss 0.0966 | Accuracy 0.9697 | ETputs(KTEPS) 726.85\n",
            "Epoch 00228 | Time(s) 1.0678 | Loss 0.0963 | Accuracy 0.9701 | ETputs(KTEPS) 726.89\n",
            "Epoch 00229 | Time(s) 1.1451 | Loss 0.0960 | Accuracy 0.9701 | ETputs(KTEPS) 726.71\n",
            "Epoch 00230 | Time(s) 1.0694 | Loss 0.0957 | Accuracy 0.9701 | ETputs(KTEPS) 726.75\n",
            "Epoch 00231 | Time(s) 1.0778 | Loss 0.0954 | Accuracy 0.9702 | ETputs(KTEPS) 726.77\n",
            "Epoch 00232 | Time(s) 1.0539 | Loss 0.0951 | Accuracy 0.9703 | ETputs(KTEPS) 726.85\n",
            "Epoch 00233 | Time(s) 1.0689 | Loss 0.0948 | Accuracy 0.9707 | ETputs(KTEPS) 726.89\n",
            "Epoch 00234 | Time(s) 1.0779 | Loss 0.0944 | Accuracy 0.9708 | ETputs(KTEPS) 726.91\n",
            "Epoch 00235 | Time(s) 1.0924 | Loss 0.0941 | Accuracy 0.9709 | ETputs(KTEPS) 726.88\n",
            "Epoch 00236 | Time(s) 1.0768 | Loss 0.0938 | Accuracy 0.9709 | ETputs(KTEPS) 726.90\n",
            "Epoch 00237 | Time(s) 1.0650 | Loss 0.0935 | Accuracy 0.9709 | ETputs(KTEPS) 726.95\n",
            "Epoch 00238 | Time(s) 1.0846 | Loss 0.0932 | Accuracy 0.9710 | ETputs(KTEPS) 726.94\n",
            "Epoch 00239 | Time(s) 1.0790 | Loss 0.0929 | Accuracy 0.9711 | ETputs(KTEPS) 726.95\n",
            "Epoch 00240 | Time(s) 1.0780 | Loss 0.0926 | Accuracy 0.9711 | ETputs(KTEPS) 726.96\n",
            "Epoch 00241 | Time(s) 1.0825 | Loss 0.0923 | Accuracy 0.9713 | ETputs(KTEPS) 726.97\n",
            "Epoch 00242 | Time(s) 1.0749 | Loss 0.0920 | Accuracy 0.9715 | ETputs(KTEPS) 726.99\n",
            "Epoch 00243 | Time(s) 1.0800 | Loss 0.0917 | Accuracy 0.9716 | ETputs(KTEPS) 726.99\n",
            "Epoch 00244 | Time(s) 1.1468 | Loss 0.0914 | Accuracy 0.9716 | ETputs(KTEPS) 726.82\n",
            "Epoch 00245 | Time(s) 1.0687 | Loss 0.0911 | Accuracy 0.9716 | ETputs(KTEPS) 726.86\n",
            "Epoch 00246 | Time(s) 1.0801 | Loss 0.0908 | Accuracy 0.9717 | ETputs(KTEPS) 726.87\n",
            "Epoch 00247 | Time(s) 1.0664 | Loss 0.0905 | Accuracy 0.9718 | ETputs(KTEPS) 726.91\n",
            "Epoch 00248 | Time(s) 1.0845 | Loss 0.0902 | Accuracy 0.9719 | ETputs(KTEPS) 726.91\n",
            "Epoch 00249 | Time(s) 1.0703 | Loss 0.0899 | Accuracy 0.9722 | ETputs(KTEPS) 726.94\n",
            "Epoch 00250 | Time(s) 1.0732 | Loss 0.0896 | Accuracy 0.9722 | ETputs(KTEPS) 726.96\n",
            "Epoch 00251 | Time(s) 1.0521 | Loss 0.0893 | Accuracy 0.9723 | ETputs(KTEPS) 727.05\n",
            "Epoch 00252 | Time(s) 1.0775 | Loss 0.0890 | Accuracy 0.9724 | ETputs(KTEPS) 727.06\n",
            "Epoch 00253 | Time(s) 1.0591 | Loss 0.0887 | Accuracy 0.9724 | ETputs(KTEPS) 727.12\n",
            "Epoch 00254 | Time(s) 1.0986 | Loss 0.0884 | Accuracy 0.9726 | ETputs(KTEPS) 727.08\n",
            "Epoch 00255 | Time(s) 1.1344 | Loss 0.0881 | Accuracy 0.9728 | ETputs(KTEPS) 726.94\n",
            "Epoch 00256 | Time(s) 1.0830 | Loss 0.0879 | Accuracy 0.9730 | ETputs(KTEPS) 726.94\n",
            "Epoch 00257 | Time(s) 1.0741 | Loss 0.0876 | Accuracy 0.9731 | ETputs(KTEPS) 726.97\n",
            "Epoch 00258 | Time(s) 1.0602 | Loss 0.0873 | Accuracy 0.9731 | ETputs(KTEPS) 727.02\n",
            "Epoch 00259 | Time(s) 1.0731 | Loss 0.0870 | Accuracy 0.9731 | ETputs(KTEPS) 727.05\n",
            "Epoch 00260 | Time(s) 1.0904 | Loss 0.0867 | Accuracy 0.9733 | ETputs(KTEPS) 727.03\n",
            "Epoch 00261 | Time(s) 1.0856 | Loss 0.0864 | Accuracy 0.9734 | ETputs(KTEPS) 727.02\n",
            "Epoch 00262 | Time(s) 1.0726 | Loss 0.0862 | Accuracy 0.9734 | ETputs(KTEPS) 727.05\n",
            "Epoch 00263 | Time(s) 1.0668 | Loss 0.0859 | Accuracy 0.9735 | ETputs(KTEPS) 727.09\n",
            "Epoch 00264 | Time(s) 1.0793 | Loss 0.0856 | Accuracy 0.9736 | ETputs(KTEPS) 727.09\n",
            "Epoch 00265 | Time(s) 1.0731 | Loss 0.0853 | Accuracy 0.9736 | ETputs(KTEPS) 727.12\n",
            "Epoch 00266 | Time(s) 1.0905 | Loss 0.0850 | Accuracy 0.9737 | ETputs(KTEPS) 727.10\n",
            "Epoch 00267 | Time(s) 1.0977 | Loss 0.0848 | Accuracy 0.9738 | ETputs(KTEPS) 727.06\n",
            "Epoch 00268 | Time(s) 1.0718 | Loss 0.0845 | Accuracy 0.9739 | ETputs(KTEPS) 727.09\n",
            "Epoch 00269 | Time(s) 1.0688 | Loss 0.0842 | Accuracy 0.9741 | ETputs(KTEPS) 727.12\n",
            "Epoch 00270 | Time(s) 1.0663 | Loss 0.0839 | Accuracy 0.9742 | ETputs(KTEPS) 727.16\n",
            "Epoch 00271 | Time(s) 1.0598 | Loss 0.0837 | Accuracy 0.9743 | ETputs(KTEPS) 727.22\n",
            "Epoch 00272 | Time(s) 1.0861 | Loss 0.0834 | Accuracy 0.9744 | ETputs(KTEPS) 727.21\n",
            "Epoch 00273 | Time(s) 1.0925 | Loss 0.0831 | Accuracy 0.9745 | ETputs(KTEPS) 727.18\n",
            "Epoch 00274 | Time(s) 1.0614 | Loss 0.0829 | Accuracy 0.9746 | ETputs(KTEPS) 727.23\n",
            "Epoch 00275 | Time(s) 1.0728 | Loss 0.0826 | Accuracy 0.9746 | ETputs(KTEPS) 727.26\n",
            "Epoch 00276 | Time(s) 1.0696 | Loss 0.0823 | Accuracy 0.9748 | ETputs(KTEPS) 727.29\n",
            "Epoch 00277 | Time(s) 1.0696 | Loss 0.0821 | Accuracy 0.9749 | ETputs(KTEPS) 727.32\n",
            "Epoch 00278 | Time(s) 1.1481 | Loss 0.0818 | Accuracy 0.9751 | ETputs(KTEPS) 727.16\n",
            "Epoch 00279 | Time(s) 1.0875 | Loss 0.0815 | Accuracy 0.9751 | ETputs(KTEPS) 727.15\n",
            "Epoch 00280 | Time(s) 1.0765 | Loss 0.0813 | Accuracy 0.9752 | ETputs(KTEPS) 727.16\n",
            "Epoch 00281 | Time(s) 1.0763 | Loss 0.0810 | Accuracy 0.9753 | ETputs(KTEPS) 727.18\n",
            "Epoch 00282 | Time(s) 1.0995 | Loss 0.0807 | Accuracy 0.9754 | ETputs(KTEPS) 727.14\n",
            "Epoch 00283 | Time(s) 1.0814 | Loss 0.0805 | Accuracy 0.9755 | ETputs(KTEPS) 727.14\n",
            "Epoch 00284 | Time(s) 1.0737 | Loss 0.0802 | Accuracy 0.9755 | ETputs(KTEPS) 727.16\n",
            "Epoch 00285 | Time(s) 1.0991 | Loss 0.0800 | Accuracy 0.9756 | ETputs(KTEPS) 727.12\n",
            "Epoch 00286 | Time(s) 1.0723 | Loss 0.0797 | Accuracy 0.9756 | ETputs(KTEPS) 727.14\n",
            "Epoch 00287 | Time(s) 1.0708 | Loss 0.0795 | Accuracy 0.9757 | ETputs(KTEPS) 727.17\n",
            "Epoch 00288 | Time(s) 1.0690 | Loss 0.0792 | Accuracy 0.9757 | ETputs(KTEPS) 727.20\n",
            "Epoch 00289 | Time(s) 1.1447 | Loss 0.0790 | Accuracy 0.9758 | ETputs(KTEPS) 727.06\n",
            "Epoch 00290 | Time(s) 1.0704 | Loss 0.0788 | Accuracy 0.9754 | ETputs(KTEPS) 727.09\n",
            "Epoch 00291 | Time(s) 1.0812 | Loss 0.0788 | Accuracy 0.9755 | ETputs(KTEPS) 727.09\n",
            "Epoch 00292 | Time(s) 1.0678 | Loss 0.0793 | Accuracy 0.9737 | ETputs(KTEPS) 727.12\n",
            "Epoch 00293 | Time(s) 1.0720 | Loss 0.0815 | Accuracy 0.9708 | ETputs(KTEPS) 727.15\n",
            "Epoch 00294 | Time(s) 1.0717 | Loss 0.0908 | Accuracy 0.9548 | ETputs(KTEPS) 727.17\n",
            "Epoch 00295 | Time(s) 1.0745 | Loss 0.1209 | Accuracy 0.8548 | ETputs(KTEPS) 727.19\n",
            "Epoch 00296 | Time(s) 1.0816 | Loss 0.3634 | Accuracy 0.6358 | ETputs(KTEPS) 727.19\n",
            "Epoch 00297 | Time(s) 1.0940 | Loss 1.5739 | Accuracy 0.7088 | ETputs(KTEPS) 727.17\n",
            "Epoch 00298 | Time(s) 1.0875 | Loss 0.7054 | Accuracy 0.7357 | ETputs(KTEPS) 727.15\n",
            "Epoch 00299 | Time(s) 1.0763 | Loss 0.5278 | Accuracy 0.8499 | ETputs(KTEPS) 727.17\n",
            "Epoch 00300 | Time(s) 1.0592 | Loss 0.3190 | Accuracy 0.8701 | ETputs(KTEPS) 727.22\n",
            "Epoch 00301 | Time(s) 1.0750 | Loss 0.3561 | Accuracy 0.8851 | ETputs(KTEPS) 727.24\n",
            "Epoch 00302 | Time(s) 1.0647 | Loss 0.3129 | Accuracy 0.8673 | ETputs(KTEPS) 727.28\n",
            "Epoch 00303 | Time(s) 1.0536 | Loss 0.2940 | Accuracy 0.8715 | ETputs(KTEPS) 727.34\n",
            "Epoch 00304 | Time(s) 1.1513 | Loss 0.2865 | Accuracy 0.9003 | ETputs(KTEPS) 727.19\n",
            "Epoch 00305 | Time(s) 1.0702 | Loss 0.2696 | Accuracy 0.9011 | ETputs(KTEPS) 727.21\n",
            "Epoch 00306 | Time(s) 1.0734 | Loss 0.2651 | Accuracy 0.9039 | ETputs(KTEPS) 727.23\n",
            "Epoch 00307 | Time(s) 1.0554 | Loss 0.2466 | Accuracy 0.9036 | ETputs(KTEPS) 727.29\n",
            "Epoch 00308 | Time(s) 1.0765 | Loss 0.2540 | Accuracy 0.9176 | ETputs(KTEPS) 727.30\n",
            "Epoch 00309 | Time(s) 1.0708 | Loss 0.2234 | Accuracy 0.9097 | ETputs(KTEPS) 727.33\n",
            "Epoch 00310 | Time(s) 1.0762 | Loss 0.2409 | Accuracy 0.9257 | ETputs(KTEPS) 727.34\n",
            "Epoch 00311 | Time(s) 1.0621 | Loss 0.2083 | Accuracy 0.9068 | ETputs(KTEPS) 727.39\n",
            "Epoch 00312 | Time(s) 1.0677 | Loss 0.2314 | Accuracy 0.9252 | ETputs(KTEPS) 727.42\n",
            "Epoch 00313 | Time(s) 1.0661 | Loss 0.2040 | Accuracy 0.9272 | ETputs(KTEPS) 727.45\n",
            "Epoch 00314 | Time(s) 1.0641 | Loss 0.2182 | Accuracy 0.9315 | ETputs(KTEPS) 727.49\n",
            "Epoch 00315 | Time(s) 1.1425 | Loss 0.2015 | Accuracy 0.9199 | ETputs(KTEPS) 727.36\n",
            "Epoch 00316 | Time(s) 1.0853 | Loss 0.1996 | Accuracy 0.9194 | ETputs(KTEPS) 727.35\n",
            "Epoch 00317 | Time(s) 1.0798 | Loss 0.2020 | Accuracy 0.9319 | ETputs(KTEPS) 727.36\n",
            "Epoch 00318 | Time(s) 1.0772 | Loss 0.1870 | Accuracy 0.9358 | ETputs(KTEPS) 727.37\n",
            "Epoch 00319 | Time(s) 1.0754 | Loss 0.1908 | Accuracy 0.9377 | ETputs(KTEPS) 727.38\n",
            "Epoch 00320 | Time(s) 1.0768 | Loss 0.1842 | Accuracy 0.9388 | ETputs(KTEPS) 727.39\n",
            "Epoch 00321 | Time(s) 1.0565 | Loss 0.1779 | Accuracy 0.9363 | ETputs(KTEPS) 727.45\n",
            "Epoch 00322 | Time(s) 1.0749 | Loss 0.1826 | Accuracy 0.9397 | ETputs(KTEPS) 727.46\n",
            "Epoch 00323 | Time(s) 1.0627 | Loss 0.1737 | Accuracy 0.9390 | ETputs(KTEPS) 727.50\n",
            "Epoch 00324 | Time(s) 1.0814 | Loss 0.1748 | Accuracy 0.9393 | ETputs(KTEPS) 727.50\n",
            "Epoch 00325 | Time(s) 1.0712 | Loss 0.1733 | Accuracy 0.9433 | ETputs(KTEPS) 727.53\n",
            "Epoch 00326 | Time(s) 1.0738 | Loss 0.1676 | Accuracy 0.9425 | ETputs(KTEPS) 727.54\n",
            "Epoch 00327 | Time(s) 1.0753 | Loss 0.1704 | Accuracy 0.9444 | ETputs(KTEPS) 727.56\n",
            "Epoch 00328 | Time(s) 1.0910 | Loss 0.1645 | Accuracy 0.9437 | ETputs(KTEPS) 727.54\n",
            "Epoch 00329 | Time(s) 1.0901 | Loss 0.1638 | Accuracy 0.9443 | ETputs(KTEPS) 727.52\n",
            "Epoch 00330 | Time(s) 1.0807 | Loss 0.1626 | Accuracy 0.9461 | ETputs(KTEPS) 727.52\n",
            "Epoch 00331 | Time(s) 1.0740 | Loss 0.1581 | Accuracy 0.9462 | ETputs(KTEPS) 727.54\n",
            "Epoch 00332 | Time(s) 1.0711 | Loss 0.1592 | Accuracy 0.9475 | ETputs(KTEPS) 727.56\n",
            "Epoch 00333 | Time(s) 1.0746 | Loss 0.1553 | Accuracy 0.9475 | ETputs(KTEPS) 727.57\n",
            "Epoch 00334 | Time(s) 1.0597 | Loss 0.1544 | Accuracy 0.9477 | ETputs(KTEPS) 727.62\n",
            "Epoch 00335 | Time(s) 1.0669 | Loss 0.1533 | Accuracy 0.9489 | ETputs(KTEPS) 727.65\n",
            "Epoch 00336 | Time(s) 1.0674 | Loss 0.1503 | Accuracy 0.9492 | ETputs(KTEPS) 727.68\n",
            "Epoch 00337 | Time(s) 1.0507 | Loss 0.1505 | Accuracy 0.9496 | ETputs(KTEPS) 727.74\n",
            "Epoch 00338 | Time(s) 1.1382 | Loss 0.1477 | Accuracy 0.9494 | ETputs(KTEPS) 727.63\n",
            "Epoch 00339 | Time(s) 1.0672 | Loss 0.1468 | Accuracy 0.9496 | ETputs(KTEPS) 727.66\n",
            "Epoch 00340 | Time(s) 1.0643 | Loss 0.1456 | Accuracy 0.9506 | ETputs(KTEPS) 727.69\n",
            "Epoch 00341 | Time(s) 1.0911 | Loss 0.1436 | Accuracy 0.9508 | ETputs(KTEPS) 727.67\n",
            "Epoch 00342 | Time(s) 1.0574 | Loss 0.1434 | Accuracy 0.9510 | ETputs(KTEPS) 727.72\n",
            "Epoch 00343 | Time(s) 1.0664 | Loss 0.1413 | Accuracy 0.9510 | ETputs(KTEPS) 727.75\n",
            "Epoch 00344 | Time(s) 1.0566 | Loss 0.1408 | Accuracy 0.9514 | ETputs(KTEPS) 727.80\n",
            "Epoch 00345 | Time(s) 1.0751 | Loss 0.1393 | Accuracy 0.9522 | ETputs(KTEPS) 727.81\n",
            "Epoch 00346 | Time(s) 1.0545 | Loss 0.1382 | Accuracy 0.9529 | ETputs(KTEPS) 727.86\n",
            "Epoch 00347 | Time(s) 1.0881 | Loss 0.1374 | Accuracy 0.9528 | ETputs(KTEPS) 727.85\n",
            "Epoch 00348 | Time(s) 1.0691 | Loss 0.1358 | Accuracy 0.9528 | ETputs(KTEPS) 727.87\n",
            "Epoch 00349 | Time(s) 1.1607 | Loss 0.1353 | Accuracy 0.9535 | ETputs(KTEPS) 727.72\n",
            "Epoch 00350 | Time(s) 1.0757 | Loss 0.1338 | Accuracy 0.9540 | ETputs(KTEPS) 727.73\n",
            "Epoch 00351 | Time(s) 1.0648 | Loss 0.1332 | Accuracy 0.9542 | ETputs(KTEPS) 727.76\n",
            "Epoch 00352 | Time(s) 1.0793 | Loss 0.1319 | Accuracy 0.9544 | ETputs(KTEPS) 727.77\n",
            "Epoch 00353 | Time(s) 1.0654 | Loss 0.1310 | Accuracy 0.9548 | ETputs(KTEPS) 727.80\n",
            "Epoch 00354 | Time(s) 1.0813 | Loss 0.1301 | Accuracy 0.9552 | ETputs(KTEPS) 727.80\n",
            "Epoch 00355 | Time(s) 1.0750 | Loss 0.1290 | Accuracy 0.9557 | ETputs(KTEPS) 727.81\n",
            "Epoch 00356 | Time(s) 1.0631 | Loss 0.1283 | Accuracy 0.9561 | ETputs(KTEPS) 727.85\n",
            "Epoch 00357 | Time(s) 1.0719 | Loss 0.1272 | Accuracy 0.9562 | ETputs(KTEPS) 727.86\n",
            "Epoch 00358 | Time(s) 1.0609 | Loss 0.1265 | Accuracy 0.9574 | ETputs(KTEPS) 727.90\n",
            "Epoch 00359 | Time(s) 1.0698 | Loss 0.1255 | Accuracy 0.9581 | ETputs(KTEPS) 727.92\n",
            "Epoch 00360 | Time(s) 1.0678 | Loss 0.1249 | Accuracy 0.9581 | ETputs(KTEPS) 727.95\n",
            "Epoch 00361 | Time(s) 1.0712 | Loss 0.1239 | Accuracy 0.9581 | ETputs(KTEPS) 727.97\n",
            "Epoch 00362 | Time(s) 1.0656 | Loss 0.1234 | Accuracy 0.9592 | ETputs(KTEPS) 728.00\n",
            "Epoch 00363 | Time(s) 1.0775 | Loss 0.1225 | Accuracy 0.9599 | ETputs(KTEPS) 728.00\n",
            "Epoch 00364 | Time(s) 1.1388 | Loss 0.1219 | Accuracy 0.9598 | ETputs(KTEPS) 727.90\n",
            "Epoch 00365 | Time(s) 1.0519 | Loss 0.1211 | Accuracy 0.9599 | ETputs(KTEPS) 727.95\n",
            "Epoch 00366 | Time(s) 1.0717 | Loss 0.1205 | Accuracy 0.9609 | ETputs(KTEPS) 727.97\n",
            "Epoch 00367 | Time(s) 1.0697 | Loss 0.1197 | Accuracy 0.9612 | ETputs(KTEPS) 727.99\n",
            "Epoch 00368 | Time(s) 1.0739 | Loss 0.1191 | Accuracy 0.9612 | ETputs(KTEPS) 728.00\n",
            "Epoch 00369 | Time(s) 1.0724 | Loss 0.1183 | Accuracy 0.9616 | ETputs(KTEPS) 728.02\n",
            "Epoch 00370 | Time(s) 1.0733 | Loss 0.1177 | Accuracy 0.9622 | ETputs(KTEPS) 728.03\n",
            "Epoch 00371 | Time(s) 1.0771 | Loss 0.1171 | Accuracy 0.9624 | ETputs(KTEPS) 728.04\n",
            "Epoch 00372 | Time(s) 1.0827 | Loss 0.1165 | Accuracy 0.9629 | ETputs(KTEPS) 728.04\n",
            "Epoch 00373 | Time(s) 1.0773 | Loss 0.1159 | Accuracy 0.9631 | ETputs(KTEPS) 728.05\n",
            "Epoch 00374 | Time(s) 1.0474 | Loss 0.1153 | Accuracy 0.9633 | ETputs(KTEPS) 728.11\n",
            "Epoch 00375 | Time(s) 1.1383 | Loss 0.1147 | Accuracy 0.9636 | ETputs(KTEPS) 728.00\n",
            "Epoch 00376 | Time(s) 1.0719 | Loss 0.1141 | Accuracy 0.9637 | ETputs(KTEPS) 728.02\n",
            "Epoch 00377 | Time(s) 1.0696 | Loss 0.1136 | Accuracy 0.9639 | ETputs(KTEPS) 728.04\n",
            "Epoch 00378 | Time(s) 1.0786 | Loss 0.1131 | Accuracy 0.9640 | ETputs(KTEPS) 728.04\n",
            "Epoch 00379 | Time(s) 1.0778 | Loss 0.1126 | Accuracy 0.9643 | ETputs(KTEPS) 728.05\n",
            "Epoch 00380 | Time(s) 1.0670 | Loss 0.1121 | Accuracy 0.9645 | ETputs(KTEPS) 728.08\n",
            "Epoch 00381 | Time(s) 1.0810 | Loss 0.1116 | Accuracy 0.9646 | ETputs(KTEPS) 728.08\n",
            "Epoch 00382 | Time(s) 1.0781 | Loss 0.1111 | Accuracy 0.9649 | ETputs(KTEPS) 728.08\n",
            "Epoch 00383 | Time(s) 1.0778 | Loss 0.1106 | Accuracy 0.9651 | ETputs(KTEPS) 728.09\n",
            "Epoch 00384 | Time(s) 1.0675 | Loss 0.1102 | Accuracy 0.9652 | ETputs(KTEPS) 728.11\n",
            "Epoch 00385 | Time(s) 1.0826 | Loss 0.1097 | Accuracy 0.9654 | ETputs(KTEPS) 728.11\n",
            "Epoch 00386 | Time(s) 1.0726 | Loss 0.1093 | Accuracy 0.9656 | ETputs(KTEPS) 728.12\n",
            "Epoch 00387 | Time(s) 1.0821 | Loss 0.1088 | Accuracy 0.9657 | ETputs(KTEPS) 728.12\n",
            "Epoch 00388 | Time(s) 1.0746 | Loss 0.1084 | Accuracy 0.9660 | ETputs(KTEPS) 728.13\n",
            "Epoch 00389 | Time(s) 1.0786 | Loss 0.1080 | Accuracy 0.9660 | ETputs(KTEPS) 728.14\n",
            "Epoch 00390 | Time(s) 1.0697 | Loss 0.1075 | Accuracy 0.9661 | ETputs(KTEPS) 728.16\n",
            "Epoch 00391 | Time(s) 1.0996 | Loss 0.1071 | Accuracy 0.9663 | ETputs(KTEPS) 728.12\n",
            "Epoch 00392 | Time(s) 1.0887 | Loss 0.1067 | Accuracy 0.9665 | ETputs(KTEPS) 728.11\n",
            "Epoch 00393 | Time(s) 1.0710 | Loss 0.1063 | Accuracy 0.9665 | ETputs(KTEPS) 728.13\n",
            "Epoch 00394 | Time(s) 1.0810 | Loss 0.1059 | Accuracy 0.9668 | ETputs(KTEPS) 728.13\n",
            "Epoch 00395 | Time(s) 1.0789 | Loss 0.1055 | Accuracy 0.9669 | ETputs(KTEPS) 728.13\n",
            "Epoch 00396 | Time(s) 1.0809 | Loss 0.1051 | Accuracy 0.9671 | ETputs(KTEPS) 728.13\n",
            "Epoch 00397 | Time(s) 1.0827 | Loss 0.1047 | Accuracy 0.9672 | ETputs(KTEPS) 728.13\n",
            "Epoch 00398 | Time(s) 1.1365 | Loss 0.1043 | Accuracy 0.9673 | ETputs(KTEPS) 728.03\n",
            "Epoch 00399 | Time(s) 1.0713 | Loss 0.1040 | Accuracy 0.9675 | ETputs(KTEPS) 728.05\n",
            "Epoch 00400 | Time(s) 1.0747 | Loss 0.1036 | Accuracy 0.9675 | ETputs(KTEPS) 728.06\n",
            "Epoch 00401 | Time(s) 1.0718 | Loss 0.1032 | Accuracy 0.9678 | ETputs(KTEPS) 728.08\n",
            "Epoch 00402 | Time(s) 1.0895 | Loss 0.1029 | Accuracy 0.9678 | ETputs(KTEPS) 728.06\n",
            "Epoch 00403 | Time(s) 1.0790 | Loss 0.1025 | Accuracy 0.9679 | ETputs(KTEPS) 728.07\n",
            "Epoch 00404 | Time(s) 1.0773 | Loss 0.1021 | Accuracy 0.9680 | ETputs(KTEPS) 728.07\n",
            "Epoch 00405 | Time(s) 1.0588 | Loss 0.1018 | Accuracy 0.9683 | ETputs(KTEPS) 728.11\n",
            "Epoch 00406 | Time(s) 1.0759 | Loss 0.1014 | Accuracy 0.9684 | ETputs(KTEPS) 728.12\n",
            "Epoch 00407 | Time(s) 1.0968 | Loss 0.1011 | Accuracy 0.9685 | ETputs(KTEPS) 728.09\n",
            "Epoch 00408 | Time(s) 1.0728 | Loss 0.1008 | Accuracy 0.9687 | ETputs(KTEPS) 728.11\n",
            "Epoch 00409 | Time(s) 1.1519 | Loss 0.1004 | Accuracy 0.9688 | ETputs(KTEPS) 727.99\n",
            "Epoch 00410 | Time(s) 1.0716 | Loss 0.1001 | Accuracy 0.9689 | ETputs(KTEPS) 728.01\n",
            "Epoch 00411 | Time(s) 1.0682 | Loss 0.0998 | Accuracy 0.9690 | ETputs(KTEPS) 728.03\n",
            "Epoch 00412 | Time(s) 1.0810 | Loss 0.0995 | Accuracy 0.9692 | ETputs(KTEPS) 728.03\n",
            "Epoch 00413 | Time(s) 1.0805 | Loss 0.0992 | Accuracy 0.9693 | ETputs(KTEPS) 728.03\n",
            "Epoch 00414 | Time(s) 1.0631 | Loss 0.0988 | Accuracy 0.9694 | ETputs(KTEPS) 728.06\n",
            "Epoch 00415 | Time(s) 1.0884 | Loss 0.0985 | Accuracy 0.9695 | ETputs(KTEPS) 728.05\n",
            "Epoch 00416 | Time(s) 1.0861 | Loss 0.0982 | Accuracy 0.9696 | ETputs(KTEPS) 728.04\n",
            "Epoch 00417 | Time(s) 1.0590 | Loss 0.0979 | Accuracy 0.9697 | ETputs(KTEPS) 728.07\n",
            "Epoch 00418 | Time(s) 1.0685 | Loss 0.0976 | Accuracy 0.9698 | ETputs(KTEPS) 728.09\n",
            "Epoch 00419 | Time(s) 1.0617 | Loss 0.0973 | Accuracy 0.9698 | ETputs(KTEPS) 728.12\n",
            "Epoch 00420 | Time(s) 1.0623 | Loss 0.0970 | Accuracy 0.9698 | ETputs(KTEPS) 728.15\n",
            "Epoch 00421 | Time(s) 1.0806 | Loss 0.0968 | Accuracy 0.9699 | ETputs(KTEPS) 728.15\n",
            "Epoch 00422 | Time(s) 1.0533 | Loss 0.0965 | Accuracy 0.9701 | ETputs(KTEPS) 728.20\n",
            "Epoch 00423 | Time(s) 1.0691 | Loss 0.0962 | Accuracy 0.9701 | ETputs(KTEPS) 728.22\n",
            "Epoch 00424 | Time(s) 1.1381 | Loss 0.0959 | Accuracy 0.9702 | ETputs(KTEPS) 728.13\n",
            "Epoch 00425 | Time(s) 1.0706 | Loss 0.0957 | Accuracy 0.9704 | ETputs(KTEPS) 728.14\n",
            "Epoch 00426 | Time(s) 1.0573 | Loss 0.0954 | Accuracy 0.9705 | ETputs(KTEPS) 728.18\n",
            "Epoch 00427 | Time(s) 1.0571 | Loss 0.0951 | Accuracy 0.9706 | ETputs(KTEPS) 728.22\n",
            "Epoch 00428 | Time(s) 1.1181 | Loss 0.0949 | Accuracy 0.9707 | ETputs(KTEPS) 728.16\n",
            "Epoch 00429 | Time(s) 1.0692 | Loss 0.0946 | Accuracy 0.9707 | ETputs(KTEPS) 728.18\n",
            "Epoch 00430 | Time(s) 1.0776 | Loss 0.0943 | Accuracy 0.9709 | ETputs(KTEPS) 728.18\n",
            "Epoch 00431 | Time(s) 1.0728 | Loss 0.0941 | Accuracy 0.9710 | ETputs(KTEPS) 728.20\n",
            "Epoch 00432 | Time(s) 1.0793 | Loss 0.0938 | Accuracy 0.9711 | ETputs(KTEPS) 728.20\n",
            "Epoch 00433 | Time(s) 1.0794 | Loss 0.0936 | Accuracy 0.9712 | ETputs(KTEPS) 728.20\n",
            "Epoch 00434 | Time(s) 1.1052 | Loss 0.0933 | Accuracy 0.9713 | ETputs(KTEPS) 728.16\n",
            "Epoch 00435 | Time(s) 1.1376 | Loss 0.0931 | Accuracy 0.9713 | ETputs(KTEPS) 728.08\n",
            "Epoch 00436 | Time(s) 1.0733 | Loss 0.0929 | Accuracy 0.9713 | ETputs(KTEPS) 728.09\n",
            "Epoch 00437 | Time(s) 1.0698 | Loss 0.0926 | Accuracy 0.9714 | ETputs(KTEPS) 728.10\n",
            "Epoch 00438 | Time(s) 1.0705 | Loss 0.0924 | Accuracy 0.9715 | ETputs(KTEPS) 728.12\n",
            "Epoch 00439 | Time(s) 1.0674 | Loss 0.0922 | Accuracy 0.9716 | ETputs(KTEPS) 728.14\n",
            "Epoch 00440 | Time(s) 1.0929 | Loss 0.0919 | Accuracy 0.9717 | ETputs(KTEPS) 728.12\n",
            "Epoch 00441 | Time(s) 1.0789 | Loss 0.0917 | Accuracy 0.9717 | ETputs(KTEPS) 728.13\n",
            "Epoch 00442 | Time(s) 1.0743 | Loss 0.0915 | Accuracy 0.9718 | ETputs(KTEPS) 728.14\n",
            "Epoch 00443 | Time(s) 1.0726 | Loss 0.0913 | Accuracy 0.9719 | ETputs(KTEPS) 728.15\n",
            "Epoch 00444 | Time(s) 1.0740 | Loss 0.0910 | Accuracy 0.9719 | ETputs(KTEPS) 728.16\n",
            "Epoch 00445 | Time(s) 1.0792 | Loss 0.0908 | Accuracy 0.9720 | ETputs(KTEPS) 728.16\n",
            "Epoch 00446 | Time(s) 1.0958 | Loss 0.0906 | Accuracy 0.9720 | ETputs(KTEPS) 728.14\n",
            "Epoch 00447 | Time(s) 1.0807 | Loss 0.0904 | Accuracy 0.9722 | ETputs(KTEPS) 728.14\n",
            "Epoch 00448 | Time(s) 1.0702 | Loss 0.0902 | Accuracy 0.9723 | ETputs(KTEPS) 728.16\n",
            "Epoch 00449 | Time(s) 1.0715 | Loss 0.0900 | Accuracy 0.9723 | ETputs(KTEPS) 728.17\n",
            "Epoch 00450 | Time(s) 1.0466 | Loss 0.0898 | Accuracy 0.9725 | ETputs(KTEPS) 728.22\n",
            "Epoch 00451 | Time(s) 1.0698 | Loss 0.0896 | Accuracy 0.9724 | ETputs(KTEPS) 728.24\n",
            "Epoch 00452 | Time(s) 1.0955 | Loss 0.0894 | Accuracy 0.9726 | ETputs(KTEPS) 728.22\n",
            "Epoch 00453 | Time(s) 1.0685 | Loss 0.0892 | Accuracy 0.9722 | ETputs(KTEPS) 728.24\n",
            "Epoch 00454 | Time(s) 1.0788 | Loss 0.0891 | Accuracy 0.9728 | ETputs(KTEPS) 728.24\n",
            "Epoch 00455 | Time(s) 1.0454 | Loss 0.0891 | Accuracy 0.9714 | ETputs(KTEPS) 728.29\n",
            "Epoch 00456 | Time(s) 1.0497 | Loss 0.0897 | Accuracy 0.9721 | ETputs(KTEPS) 728.34\n",
            "Epoch 00457 | Time(s) 1.0769 | Loss 0.0920 | Accuracy 0.9677 | ETputs(KTEPS) 728.34\n",
            "Epoch 00458 | Time(s) 1.1432 | Loss 0.0978 | Accuracy 0.9613 | ETputs(KTEPS) 728.25\n",
            "Epoch 00459 | Time(s) 1.0941 | Loss 0.1165 | Accuracy 0.9479 | ETputs(KTEPS) 728.23\n",
            "Epoch 00460 | Time(s) 1.0771 | Loss 0.1429 | Accuracy 0.9418 | ETputs(KTEPS) 728.24\n",
            "Epoch 00461 | Time(s) 1.0665 | Loss 0.1625 | Accuracy 0.9671 | ETputs(KTEPS) 728.26\n",
            "Epoch 00462 | Time(s) 1.0629 | Loss 0.1019 | Accuracy 0.9474 | ETputs(KTEPS) 728.28\n",
            "Epoch 00463 | Time(s) 1.0761 | Loss 0.1467 | Accuracy 0.9656 | ETputs(KTEPS) 728.29\n",
            "Epoch 00464 | Time(s) 1.0804 | Loss 0.1052 | Accuracy 0.9521 | ETputs(KTEPS) 728.29\n",
            "Epoch 00465 | Time(s) 1.0992 | Loss 0.1369 | Accuracy 0.9658 | ETputs(KTEPS) 728.26\n",
            "Epoch 00466 | Time(s) 1.0750 | Loss 0.1035 | Accuracy 0.9560 | ETputs(KTEPS) 728.27\n",
            "Epoch 00467 | Time(s) 1.0823 | Loss 0.1335 | Accuracy 0.9687 | ETputs(KTEPS) 728.27\n",
            "Epoch 00468 | Time(s) 1.0696 | Loss 0.0990 | Accuracy 0.9533 | ETputs(KTEPS) 728.29\n",
            "Epoch 00469 | Time(s) 1.1635 | Loss 0.1296 | Accuracy 0.9684 | ETputs(KTEPS) 728.17\n",
            "Epoch 00470 | Time(s) 1.0658 | Loss 0.0998 | Accuracy 0.9626 | ETputs(KTEPS) 728.19\n",
            "Epoch 00471 | Time(s) 1.0805 | Loss 0.1157 | Accuracy 0.9651 | ETputs(KTEPS) 728.19\n",
            "Epoch 00472 | Time(s) 1.0662 | Loss 0.1076 | Accuracy 0.9668 | ETputs(KTEPS) 728.21\n",
            "Epoch 00473 | Time(s) 1.0718 | Loss 0.1040 | Accuracy 0.9664 | ETputs(KTEPS) 728.22\n",
            "Epoch 00474 | Time(s) 1.0787 | Loss 0.1054 | Accuracy 0.9691 | ETputs(KTEPS) 728.23\n",
            "Epoch 00475 | Time(s) 1.0771 | Loss 0.0952 | Accuracy 0.9651 | ETputs(KTEPS) 728.23\n",
            "Epoch 00476 | Time(s) 1.0760 | Loss 0.1068 | Accuracy 0.9679 | ETputs(KTEPS) 728.24\n",
            "Epoch 00477 | Time(s) 1.0969 | Loss 0.0987 | Accuracy 0.9683 | ETputs(KTEPS) 728.22\n",
            "Epoch 00478 | Time(s) 1.0654 | Loss 0.0977 | Accuracy 0.9690 | ETputs(KTEPS) 728.24\n",
            "Epoch 00479 | Time(s) 1.0766 | Loss 0.0967 | Accuracy 0.9692 | ETputs(KTEPS) 728.24\n",
            "Epoch 00480 | Time(s) 1.0709 | Loss 0.0960 | Accuracy 0.9679 | ETputs(KTEPS) 728.26\n",
            "Epoch 00481 | Time(s) 1.0688 | Loss 0.0984 | Accuracy 0.9709 | ETputs(KTEPS) 728.28\n",
            "Epoch 00482 | Time(s) 1.0740 | Loss 0.0928 | Accuracy 0.9703 | ETputs(KTEPS) 728.28\n",
            "Epoch 00483 | Time(s) 1.0845 | Loss 0.0935 | Accuracy 0.9700 | ETputs(KTEPS) 728.28\n",
            "Epoch 00484 | Time(s) 1.1606 | Loss 0.0957 | Accuracy 0.9700 | ETputs(KTEPS) 728.17\n",
            "Epoch 00485 | Time(s) 1.0644 | Loss 0.0918 | Accuracy 0.9699 | ETputs(KTEPS) 728.19\n",
            "Epoch 00486 | Time(s) 1.0730 | Loss 0.0919 | Accuracy 0.9710 | ETputs(KTEPS) 728.20\n",
            "Epoch 00487 | Time(s) 1.0693 | Loss 0.0899 | Accuracy 0.9706 | ETputs(KTEPS) 728.22\n",
            "Epoch 00488 | Time(s) 1.0635 | Loss 0.0919 | Accuracy 0.9709 | ETputs(KTEPS) 728.24\n",
            "Epoch 00489 | Time(s) 1.0848 | Loss 0.0903 | Accuracy 0.9710 | ETputs(KTEPS) 728.24\n",
            "Epoch 00490 | Time(s) 1.1054 | Loss 0.0891 | Accuracy 0.9713 | ETputs(KTEPS) 728.20\n",
            "Epoch 00491 | Time(s) 1.0683 | Loss 0.0892 | Accuracy 0.9718 | ETputs(KTEPS) 728.22\n",
            "Epoch 00492 | Time(s) 1.0718 | Loss 0.0884 | Accuracy 0.9718 | ETputs(KTEPS) 728.23\n",
            "Epoch 00493 | Time(s) 1.0745 | Loss 0.0887 | Accuracy 0.9722 | ETputs(KTEPS) 728.24\n",
            "Epoch 00494 | Time(s) 1.0852 | Loss 0.0871 | Accuracy 0.9720 | ETputs(KTEPS) 728.24\n",
            "Epoch 00495 | Time(s) 1.1311 | Loss 0.0877 | Accuracy 0.9726 | ETputs(KTEPS) 728.17\n",
            "Epoch 00496 | Time(s) 1.0730 | Loss 0.0866 | Accuracy 0.9722 | ETputs(KTEPS) 728.18\n",
            "Epoch 00497 | Time(s) 1.0736 | Loss 0.0867 | Accuracy 0.9721 | ETputs(KTEPS) 728.19\n",
            "Epoch 00498 | Time(s) 1.0562 | Loss 0.0858 | Accuracy 0.9723 | ETputs(KTEPS) 728.22\n",
            "Epoch 00499 | Time(s) 1.0751 | Loss 0.0862 | Accuracy 0.9726 | ETputs(KTEPS) 728.23\n",
            "Epoch 00500 | Time(s) 1.0623 | Loss 0.0855 | Accuracy 0.9734 | ETputs(KTEPS) 728.25\n",
            "Epoch 00501 | Time(s) 1.0537 | Loss 0.0851 | Accuracy 0.9733 | ETputs(KTEPS) 728.29\n",
            "Epoch 00502 | Time(s) 1.0789 | Loss 0.0849 | Accuracy 0.9731 | ETputs(KTEPS) 728.29\n",
            "Epoch 00503 | Time(s) 1.0716 | Loss 0.0849 | Accuracy 0.9730 | ETputs(KTEPS) 728.31\n",
            "Epoch 00504 | Time(s) 1.0723 | Loss 0.0844 | Accuracy 0.9734 | ETputs(KTEPS) 728.32\n",
            "Epoch 00505 | Time(s) 1.0745 | Loss 0.0841 | Accuracy 0.9733 | ETputs(KTEPS) 728.32\n",
            "Epoch 00506 | Time(s) 1.0723 | Loss 0.0840 | Accuracy 0.9733 | ETputs(KTEPS) 728.34\n",
            "Epoch 00507 | Time(s) 1.0680 | Loss 0.0836 | Accuracy 0.9734 | ETputs(KTEPS) 728.35\n",
            "Epoch 00508 | Time(s) 1.0906 | Loss 0.0833 | Accuracy 0.9736 | ETputs(KTEPS) 728.34\n",
            "Epoch 00509 | Time(s) 1.0773 | Loss 0.0833 | Accuracy 0.9740 | ETputs(KTEPS) 728.34\n",
            "Epoch 00510 | Time(s) 1.0783 | Loss 0.0829 | Accuracy 0.9739 | ETputs(KTEPS) 728.35\n",
            "Epoch 00511 | Time(s) 1.0809 | Loss 0.0827 | Accuracy 0.9741 | ETputs(KTEPS) 728.35\n",
            "Epoch 00512 | Time(s) 1.0712 | Loss 0.0824 | Accuracy 0.9743 | ETputs(KTEPS) 728.36\n",
            "Epoch 00513 | Time(s) 1.0758 | Loss 0.0823 | Accuracy 0.9741 | ETputs(KTEPS) 728.37\n",
            "Epoch 00514 | Time(s) 1.0857 | Loss 0.0820 | Accuracy 0.9741 | ETputs(KTEPS) 728.36\n",
            "Epoch 00515 | Time(s) 1.0693 | Loss 0.0820 | Accuracy 0.9743 | ETputs(KTEPS) 728.37\n",
            "Epoch 00516 | Time(s) 1.0734 | Loss 0.0816 | Accuracy 0.9744 | ETputs(KTEPS) 728.38\n",
            "Epoch 00517 | Time(s) 1.0636 | Loss 0.0815 | Accuracy 0.9743 | ETputs(KTEPS) 728.41\n",
            "Epoch 00518 | Time(s) 1.1402 | Loss 0.0814 | Accuracy 0.9745 | ETputs(KTEPS) 728.33\n",
            "Epoch 00519 | Time(s) 1.0754 | Loss 0.0811 | Accuracy 0.9745 | ETputs(KTEPS) 728.34\n",
            "Epoch 00520 | Time(s) 1.0680 | Loss 0.0811 | Accuracy 0.9747 | ETputs(KTEPS) 728.35\n",
            "Epoch 00521 | Time(s) 1.0538 | Loss 0.0808 | Accuracy 0.9746 | ETputs(KTEPS) 728.39\n",
            "Epoch 00522 | Time(s) 1.0648 | Loss 0.0807 | Accuracy 0.9749 | ETputs(KTEPS) 728.41\n",
            "Epoch 00523 | Time(s) 1.0711 | Loss 0.0806 | Accuracy 0.9749 | ETputs(KTEPS) 728.42\n",
            "Epoch 00524 | Time(s) 1.0715 | Loss 0.0804 | Accuracy 0.9750 | ETputs(KTEPS) 728.43\n",
            "Epoch 00525 | Time(s) 1.0706 | Loss 0.0803 | Accuracy 0.9750 | ETputs(KTEPS) 728.44\n",
            "Epoch 00526 | Time(s) 1.0793 | Loss 0.0801 | Accuracy 0.9750 | ETputs(KTEPS) 728.45\n",
            "Epoch 00527 | Time(s) 1.0712 | Loss 0.0800 | Accuracy 0.9750 | ETputs(KTEPS) 728.46\n",
            "Epoch 00528 | Time(s) 1.0640 | Loss 0.0798 | Accuracy 0.9750 | ETputs(KTEPS) 728.48\n",
            "Epoch 00529 | Time(s) 1.1453 | Loss 0.0797 | Accuracy 0.9751 | ETputs(KTEPS) 728.40\n",
            "Epoch 00530 | Time(s) 1.0708 | Loss 0.0795 | Accuracy 0.9752 | ETputs(KTEPS) 728.41\n",
            "Epoch 00531 | Time(s) 1.0665 | Loss 0.0794 | Accuracy 0.9751 | ETputs(KTEPS) 728.43\n",
            "Epoch 00532 | Time(s) 1.0751 | Loss 0.0792 | Accuracy 0.9754 | ETputs(KTEPS) 728.43\n",
            "Epoch 00533 | Time(s) 1.0797 | Loss 0.0791 | Accuracy 0.9753 | ETputs(KTEPS) 728.43\n",
            "Epoch 00534 | Time(s) 1.0723 | Loss 0.0790 | Accuracy 0.9753 | ETputs(KTEPS) 728.44\n",
            "Epoch 00535 | Time(s) 1.0698 | Loss 0.0788 | Accuracy 0.9753 | ETputs(KTEPS) 728.46\n",
            "Epoch 00536 | Time(s) 1.0767 | Loss 0.0787 | Accuracy 0.9755 | ETputs(KTEPS) 728.46\n",
            "Epoch 00537 | Time(s) 1.0656 | Loss 0.0786 | Accuracy 0.9754 | ETputs(KTEPS) 728.48\n",
            "Epoch 00538 | Time(s) 1.0688 | Loss 0.0784 | Accuracy 0.9755 | ETputs(KTEPS) 728.50\n",
            "Epoch 00539 | Time(s) 1.0883 | Loss 0.0783 | Accuracy 0.9755 | ETputs(KTEPS) 728.49\n",
            "Epoch 00540 | Time(s) 1.0702 | Loss 0.0782 | Accuracy 0.9756 | ETputs(KTEPS) 728.50\n",
            "Epoch 00541 | Time(s) 1.0577 | Loss 0.0780 | Accuracy 0.9757 | ETputs(KTEPS) 728.53\n",
            "Epoch 00542 | Time(s) 1.0793 | Loss 0.0779 | Accuracy 0.9758 | ETputs(KTEPS) 728.53\n",
            "Epoch 00543 | Time(s) 1.0728 | Loss 0.0778 | Accuracy 0.9758 | ETputs(KTEPS) 728.54\n",
            "Epoch 00544 | Time(s) 1.1326 | Loss 0.0777 | Accuracy 0.9758 | ETputs(KTEPS) 728.47\n",
            "Epoch 00545 | Time(s) 1.0729 | Loss 0.0775 | Accuracy 0.9759 | ETputs(KTEPS) 728.48\n",
            "Epoch 00546 | Time(s) 1.0793 | Loss 0.0774 | Accuracy 0.9760 | ETputs(KTEPS) 728.48\n",
            "Epoch 00547 | Time(s) 1.0670 | Loss 0.0773 | Accuracy 0.9760 | ETputs(KTEPS) 728.50\n",
            "Epoch 00548 | Time(s) 1.0746 | Loss 0.0772 | Accuracy 0.9761 | ETputs(KTEPS) 728.51\n",
            "Epoch 00549 | Time(s) 1.0820 | Loss 0.0770 | Accuracy 0.9761 | ETputs(KTEPS) 728.51\n",
            "Epoch 00550 | Time(s) 1.0515 | Loss 0.0769 | Accuracy 0.9762 | ETputs(KTEPS) 728.54\n",
            "Epoch 00551 | Time(s) 1.0653 | Loss 0.0768 | Accuracy 0.9762 | ETputs(KTEPS) 728.56\n",
            "Epoch 00552 | Time(s) 1.0723 | Loss 0.0767 | Accuracy 0.9763 | ETputs(KTEPS) 728.57\n",
            "Epoch 00553 | Time(s) 1.0904 | Loss 0.0766 | Accuracy 0.9763 | ETputs(KTEPS) 728.56\n",
            "Epoch 00554 | Time(s) 1.0657 | Loss 0.0765 | Accuracy 0.9763 | ETputs(KTEPS) 728.58\n",
            "Epoch 00555 | Time(s) 1.1188 | Loss 0.0763 | Accuracy 0.9763 | ETputs(KTEPS) 728.53\n",
            "Epoch 00556 | Time(s) 1.0766 | Loss 0.0762 | Accuracy 0.9764 | ETputs(KTEPS) 728.53\n",
            "Epoch 00557 | Time(s) 1.0781 | Loss 0.0761 | Accuracy 0.9764 | ETputs(KTEPS) 728.54\n",
            "Epoch 00558 | Time(s) 1.0842 | Loss 0.0760 | Accuracy 0.9765 | ETputs(KTEPS) 728.53\n",
            "Epoch 00559 | Time(s) 1.0792 | Loss 0.0759 | Accuracy 0.9765 | ETputs(KTEPS) 728.53\n",
            "Epoch 00560 | Time(s) 1.0690 | Loss 0.0758 | Accuracy 0.9765 | ETputs(KTEPS) 728.55\n",
            "Epoch 00561 | Time(s) 1.0671 | Loss 0.0756 | Accuracy 0.9766 | ETputs(KTEPS) 728.56\n",
            "Epoch 00562 | Time(s) 1.0550 | Loss 0.0755 | Accuracy 0.9766 | ETputs(KTEPS) 728.59\n",
            "Epoch 00563 | Time(s) 1.0684 | Loss 0.0754 | Accuracy 0.9767 | ETputs(KTEPS) 728.61\n",
            "Epoch 00564 | Time(s) 1.0843 | Loss 0.0753 | Accuracy 0.9767 | ETputs(KTEPS) 728.60\n",
            "Epoch 00565 | Time(s) 1.0800 | Loss 0.0752 | Accuracy 0.9767 | ETputs(KTEPS) 728.60\n",
            "Epoch 00566 | Time(s) 1.0794 | Loss 0.0751 | Accuracy 0.9768 | ETputs(KTEPS) 728.60\n",
            "Epoch 00567 | Time(s) 1.0647 | Loss 0.0750 | Accuracy 0.9768 | ETputs(KTEPS) 728.62\n",
            "Epoch 00568 | Time(s) 1.0871 | Loss 0.0749 | Accuracy 0.9769 | ETputs(KTEPS) 728.61\n",
            "Epoch 00569 | Time(s) 1.0722 | Loss 0.0747 | Accuracy 0.9770 | ETputs(KTEPS) 728.62\n",
            "Epoch 00570 | Time(s) 1.0665 | Loss 0.0746 | Accuracy 0.9770 | ETputs(KTEPS) 728.64\n",
            "Epoch 00571 | Time(s) 1.0676 | Loss 0.0745 | Accuracy 0.9771 | ETputs(KTEPS) 728.66\n",
            "Epoch 00572 | Time(s) 1.0701 | Loss 0.0744 | Accuracy 0.9771 | ETputs(KTEPS) 728.67\n",
            "Epoch 00573 | Time(s) 1.0678 | Loss 0.0743 | Accuracy 0.9771 | ETputs(KTEPS) 728.68\n",
            "Epoch 00574 | Time(s) 1.0643 | Loss 0.0742 | Accuracy 0.9772 | ETputs(KTEPS) 728.70\n",
            "Epoch 00575 | Time(s) 1.0599 | Loss 0.0741 | Accuracy 0.9772 | ETputs(KTEPS) 728.72\n",
            "Epoch 00576 | Time(s) 1.0516 | Loss 0.0740 | Accuracy 0.9773 | ETputs(KTEPS) 728.76\n",
            "Epoch 00577 | Time(s) 1.0594 | Loss 0.0739 | Accuracy 0.9773 | ETputs(KTEPS) 728.78\n",
            "Epoch 00578 | Time(s) 1.1450 | Loss 0.0737 | Accuracy 0.9773 | ETputs(KTEPS) 728.71\n",
            "Epoch 00579 | Time(s) 1.0513 | Loss 0.0736 | Accuracy 0.9774 | ETputs(KTEPS) 728.74\n",
            "Epoch 00580 | Time(s) 1.0700 | Loss 0.0735 | Accuracy 0.9774 | ETputs(KTEPS) 728.75\n",
            "Epoch 00581 | Time(s) 1.0670 | Loss 0.0734 | Accuracy 0.9774 | ETputs(KTEPS) 728.77\n",
            "Epoch 00582 | Time(s) 1.0529 | Loss 0.0733 | Accuracy 0.9774 | ETputs(KTEPS) 728.80\n",
            "Epoch 00583 | Time(s) 1.0603 | Loss 0.0732 | Accuracy 0.9774 | ETputs(KTEPS) 728.82\n",
            "Epoch 00584 | Time(s) 1.0592 | Loss 0.0731 | Accuracy 0.9774 | ETputs(KTEPS) 728.84\n",
            "Epoch 00585 | Time(s) 1.0725 | Loss 0.0730 | Accuracy 0.9775 | ETputs(KTEPS) 728.85\n",
            "Epoch 00586 | Time(s) 1.0720 | Loss 0.0729 | Accuracy 0.9776 | ETputs(KTEPS) 728.86\n",
            "Epoch 00587 | Time(s) 1.0636 | Loss 0.0728 | Accuracy 0.9775 | ETputs(KTEPS) 728.88\n",
            "Epoch 00588 | Time(s) 1.0718 | Loss 0.0727 | Accuracy 0.9776 | ETputs(KTEPS) 728.89\n",
            "Epoch 00589 | Time(s) 1.1562 | Loss 0.0727 | Accuracy 0.9774 | ETputs(KTEPS) 728.80\n",
            "Epoch 00590 | Time(s) 1.0681 | Loss 0.0727 | Accuracy 0.9774 | ETputs(KTEPS) 728.82\n",
            "Epoch 00591 | Time(s) 1.0795 | Loss 0.0728 | Accuracy 0.9773 | ETputs(KTEPS) 728.82\n",
            "Epoch 00592 | Time(s) 1.0690 | Loss 0.0731 | Accuracy 0.9766 | ETputs(KTEPS) 728.83\n",
            "Epoch 00593 | Time(s) 1.0788 | Loss 0.0737 | Accuracy 0.9764 | ETputs(KTEPS) 728.83\n",
            "Epoch 00594 | Time(s) 1.0698 | Loss 0.0754 | Accuracy 0.9746 | ETputs(KTEPS) 728.84\n",
            "Epoch 00595 | Time(s) 1.0713 | Loss 0.0776 | Accuracy 0.9734 | ETputs(KTEPS) 728.85\n",
            "Epoch 00596 | Time(s) 1.0796 | Loss 0.0828 | Accuracy 0.9702 | ETputs(KTEPS) 728.85\n",
            "Epoch 00597 | Time(s) 1.0791 | Loss 0.0855 | Accuracy 0.9716 | ETputs(KTEPS) 728.85\n",
            "Epoch 00598 | Time(s) 1.0582 | Loss 0.0888 | Accuracy 0.9744 | ETputs(KTEPS) 728.88\n",
            "Epoch 00599 | Time(s) 1.0681 | Loss 0.0778 | Accuracy 0.9757 | ETputs(KTEPS) 728.89\n",
            "Epoch 00600 | Time(s) 1.0597 | Loss 0.0747 | Accuracy 0.9740 | ETputs(KTEPS) 728.91\n",
            "Epoch 00601 | Time(s) 1.0753 | Loss 0.0812 | Accuracy 0.9757 | ETputs(KTEPS) 728.92\n",
            "Epoch 00602 | Time(s) 1.0694 | Loss 0.0752 | Accuracy 0.9770 | ETputs(KTEPS) 728.93\n",
            "Epoch 00603 | Time(s) 1.0696 | Loss 0.0729 | Accuracy 0.9751 | ETputs(KTEPS) 728.94\n",
            "Epoch 00604 | Time(s) 1.1396 | Loss 0.0774 | Accuracy 0.9757 | ETputs(KTEPS) 728.88\n",
            "Epoch 00605 | Time(s) 1.0639 | Loss 0.0753 | Accuracy 0.9776 | ETputs(KTEPS) 728.89\n",
            "Epoch 00606 | Time(s) 1.0657 | Loss 0.0721 | Accuracy 0.9774 | ETputs(KTEPS) 728.91\n",
            "Epoch 00607 | Time(s) 1.0761 | Loss 0.0729 | Accuracy 0.9759 | ETputs(KTEPS) 728.91\n",
            "Epoch 00608 | Time(s) 1.0838 | Loss 0.0741 | Accuracy 0.9768 | ETputs(KTEPS) 728.91\n",
            "Epoch 00609 | Time(s) 1.0706 | Loss 0.0731 | Accuracy 0.9778 | ETputs(KTEPS) 728.92\n",
            "Epoch 00610 | Time(s) 1.0860 | Loss 0.0714 | Accuracy 0.9766 | ETputs(KTEPS) 728.91\n",
            "Epoch 00611 | Time(s) 1.0683 | Loss 0.0730 | Accuracy 0.9770 | ETputs(KTEPS) 728.92\n",
            "Epoch 00612 | Time(s) 1.0771 | Loss 0.0737 | Accuracy 0.9773 | ETputs(KTEPS) 728.93\n",
            "Epoch 00613 | Time(s) 1.0567 | Loss 0.0716 | Accuracy 0.9774 | ETputs(KTEPS) 728.95\n",
            "Epoch 00614 | Time(s) 1.0722 | Loss 0.0712 | Accuracy 0.9771 | ETputs(KTEPS) 728.96\n",
            "Epoch 00615 | Time(s) 1.1562 | Loss 0.0728 | Accuracy 0.9771 | ETputs(KTEPS) 728.88\n",
            "Epoch 00616 | Time(s) 1.0754 | Loss 0.0718 | Accuracy 0.9776 | ETputs(KTEPS) 728.88\n",
            "Epoch 00617 | Time(s) 1.0597 | Loss 0.0707 | Accuracy 0.9779 | ETputs(KTEPS) 728.90\n",
            "Epoch 00618 | Time(s) 1.0693 | Loss 0.0706 | Accuracy 0.9773 | ETputs(KTEPS) 728.92\n",
            "Epoch 00619 | Time(s) 1.0696 | Loss 0.0715 | Accuracy 0.9776 | ETputs(KTEPS) 728.93\n",
            "Epoch 00620 | Time(s) 1.0703 | Loss 0.0713 | Accuracy 0.9778 | ETputs(KTEPS) 728.94\n",
            "Epoch 00621 | Time(s) 1.0811 | Loss 0.0705 | Accuracy 0.9779 | ETputs(KTEPS) 728.94\n",
            "Epoch 00622 | Time(s) 1.0669 | Loss 0.0698 | Accuracy 0.9779 | ETputs(KTEPS) 728.95\n",
            "Epoch 00623 | Time(s) 1.0722 | Loss 0.0705 | Accuracy 0.9777 | ETputs(KTEPS) 728.96\n",
            "Epoch 00624 | Time(s) 1.0716 | Loss 0.0706 | Accuracy 0.9774 | ETputs(KTEPS) 728.97\n",
            "Epoch 00625 | Time(s) 1.0640 | Loss 0.0707 | Accuracy 0.9780 | ETputs(KTEPS) 728.98\n",
            "Epoch 00626 | Time(s) 1.0808 | Loss 0.0697 | Accuracy 0.9781 | ETputs(KTEPS) 728.98\n",
            "Epoch 00627 | Time(s) 1.0726 | Loss 0.0695 | Accuracy 0.9781 | ETputs(KTEPS) 728.99\n",
            "Epoch 00628 | Time(s) 1.0740 | Loss 0.0694 | Accuracy 0.9781 | ETputs(KTEPS) 729.00\n",
            "Epoch 00629 | Time(s) 1.0707 | Loss 0.0697 | Accuracy 0.9781 | ETputs(KTEPS) 729.01\n",
            "Epoch 00630 | Time(s) 1.0705 | Loss 0.0698 | Accuracy 0.9780 | ETputs(KTEPS) 729.02\n",
            "Epoch 00631 | Time(s) 1.0726 | Loss 0.0697 | Accuracy 0.9778 | ETputs(KTEPS) 729.02\n",
            "Epoch 00632 | Time(s) 1.0919 | Loss 0.0697 | Accuracy 0.9781 | ETputs(KTEPS) 729.01\n",
            "Epoch 00633 | Time(s) 1.0884 | Loss 0.0692 | Accuracy 0.9784 | ETputs(KTEPS) 729.00\n",
            "Epoch 00634 | Time(s) 1.0764 | Loss 0.0690 | Accuracy 0.9784 | ETputs(KTEPS) 729.01\n",
            "Epoch 00635 | Time(s) 1.0770 | Loss 0.0686 | Accuracy 0.9783 | ETputs(KTEPS) 729.01\n",
            "Epoch 00636 | Time(s) 1.0692 | Loss 0.0685 | Accuracy 0.9783 | ETputs(KTEPS) 729.02\n",
            "Epoch 00637 | Time(s) 1.0549 | Loss 0.0683 | Accuracy 0.9784 | ETputs(KTEPS) 729.05\n",
            "Epoch 00638 | Time(s) 1.1484 | Loss 0.0683 | Accuracy 0.9783 | ETputs(KTEPS) 728.97\n",
            "Epoch 00639 | Time(s) 1.0949 | Loss 0.0683 | Accuracy 0.9783 | ETputs(KTEPS) 728.96\n",
            "Epoch 00640 | Time(s) 1.0731 | Loss 0.0684 | Accuracy 0.9785 | ETputs(KTEPS) 728.96\n",
            "Epoch 00641 | Time(s) 1.0602 | Loss 0.0688 | Accuracy 0.9778 | ETputs(KTEPS) 728.98\n",
            "Epoch 00642 | Time(s) 1.0818 | Loss 0.0697 | Accuracy 0.9770 | ETputs(KTEPS) 728.98\n",
            "Epoch 00643 | Time(s) 1.0680 | Loss 0.0725 | Accuracy 0.9734 | ETputs(KTEPS) 728.99\n",
            "Epoch 00644 | Time(s) 1.0687 | Loss 0.0774 | Accuracy 0.9686 | ETputs(KTEPS) 729.01\n",
            "Epoch 00645 | Time(s) 1.1040 | Loss 0.0977 | Accuracy 0.9276 | ETputs(KTEPS) 728.98\n",
            "Epoch 00646 | Time(s) 1.0569 | Loss 0.1802 | Accuracy 0.7223 | ETputs(KTEPS) 729.00\n",
            "Epoch 00647 | Time(s) 1.0591 | Loss 1.0763 | Accuracy 0.6814 | ETputs(KTEPS) 729.03\n",
            "Epoch 00648 | Time(s) 1.0820 | Loss 1.0177 | Accuracy 0.8684 | ETputs(KTEPS) 729.02\n",
            "Epoch 00649 | Time(s) 1.1448 | Loss 0.2932 | Accuracy 0.7757 | ETputs(KTEPS) 728.96\n",
            "Epoch 00650 | Time(s) 1.0782 | Loss 0.5545 | Accuracy 0.8244 | ETputs(KTEPS) 728.96\n",
            "Epoch 00651 | Time(s) 1.1005 | Loss 0.3625 | Accuracy 0.8638 | ETputs(KTEPS) 728.94\n",
            "Epoch 00652 | Time(s) 1.0723 | Loss 0.3460 | Accuracy 0.8365 | ETputs(KTEPS) 728.94\n",
            "Epoch 00653 | Time(s) 1.0698 | Loss 0.3836 | Accuracy 0.8363 | ETputs(KTEPS) 728.95\n",
            "Epoch 00654 | Time(s) 1.0673 | Loss 0.3434 | Accuracy 0.8464 | ETputs(KTEPS) 728.97\n",
            "Epoch 00655 | Time(s) 1.0703 | Loss 0.3178 | Accuracy 0.8490 | ETputs(KTEPS) 728.98\n",
            "Epoch 00656 | Time(s) 1.0676 | Loss 0.4011 | Accuracy 0.8414 | ETputs(KTEPS) 728.99\n",
            "Epoch 00657 | Time(s) 1.0864 | Loss 0.3192 | Accuracy 0.8367 | ETputs(KTEPS) 728.98\n",
            "Epoch 00658 | Time(s) 1.0768 | Loss 0.3416 | Accuracy 0.8855 | ETputs(KTEPS) 728.99\n",
            "Epoch 00659 | Time(s) 1.0695 | Loss 0.2601 | Accuracy 0.8837 | ETputs(KTEPS) 729.00\n",
            "Epoch 00660 | Time(s) 1.0714 | Loss 0.3168 | Accuracy 0.8993 | ETputs(KTEPS) 729.00\n",
            "Epoch 00661 | Time(s) 1.0541 | Loss 0.2573 | Accuracy 0.8815 | ETputs(KTEPS) 729.03\n",
            "Epoch 00662 | Time(s) 1.0713 | Loss 0.2615 | Accuracy 0.8878 | ETputs(KTEPS) 729.04\n",
            "Epoch 00663 | Time(s) 1.0967 | Loss 0.2670 | Accuracy 0.9142 | ETputs(KTEPS) 729.02\n",
            "Epoch 00664 | Time(s) 1.1575 | Loss 0.2330 | Accuracy 0.9169 | ETputs(KTEPS) 728.94\n",
            "Epoch 00665 | Time(s) 1.0696 | Loss 0.2286 | Accuracy 0.9111 | ETputs(KTEPS) 728.95\n",
            "Epoch 00666 | Time(s) 1.0725 | Loss 0.2410 | Accuracy 0.9175 | ETputs(KTEPS) 728.96\n",
            "Epoch 00667 | Time(s) 1.0724 | Loss 0.2252 | Accuracy 0.9143 | ETputs(KTEPS) 728.97\n",
            "Epoch 00668 | Time(s) 1.0732 | Loss 0.2176 | Accuracy 0.9125 | ETputs(KTEPS) 728.97\n",
            "Epoch 00669 | Time(s) 1.0686 | Loss 0.2250 | Accuracy 0.9142 | ETputs(KTEPS) 728.99\n",
            "Epoch 00670 | Time(s) 1.0744 | Loss 0.2191 | Accuracy 0.9178 | ETputs(KTEPS) 728.99\n",
            "Epoch 00671 | Time(s) 1.0741 | Loss 0.2057 | Accuracy 0.9286 | ETputs(KTEPS) 729.00\n",
            "Epoch 00672 | Time(s) 1.0770 | Loss 0.2040 | Accuracy 0.9258 | ETputs(KTEPS) 729.00\n",
            "Epoch 00673 | Time(s) 1.0765 | Loss 0.2077 | Accuracy 0.9259 | ETputs(KTEPS) 729.00\n",
            "Epoch 00674 | Time(s) 1.0732 | Loss 0.2040 | Accuracy 0.9261 | ETputs(KTEPS) 729.01\n",
            "Epoch 00675 | Time(s) 1.1227 | Loss 0.2000 | Accuracy 0.9293 | ETputs(KTEPS) 728.97\n",
            "Epoch 00676 | Time(s) 1.1086 | Loss 0.1988 | Accuracy 0.9322 | ETputs(KTEPS) 728.94\n",
            "Epoch 00677 | Time(s) 1.0650 | Loss 0.1936 | Accuracy 0.9353 | ETputs(KTEPS) 728.95\n",
            "Epoch 00678 | Time(s) 1.0662 | Loss 0.1878 | Accuracy 0.9357 | ETputs(KTEPS) 728.97\n",
            "Epoch 00679 | Time(s) 1.0697 | Loss 0.1862 | Accuracy 0.9349 | ETputs(KTEPS) 728.98\n",
            "Epoch 00680 | Time(s) 1.0618 | Loss 0.1868 | Accuracy 0.9347 | ETputs(KTEPS) 728.99\n",
            "Epoch 00681 | Time(s) 1.0680 | Loss 0.1845 | Accuracy 0.9337 | ETputs(KTEPS) 729.01\n",
            "Epoch 00682 | Time(s) 1.1025 | Loss 0.1817 | Accuracy 0.9338 | ETputs(KTEPS) 728.98\n",
            "Epoch 00683 | Time(s) 1.0749 | Loss 0.1796 | Accuracy 0.9371 | ETputs(KTEPS) 728.99\n",
            "Epoch 00684 | Time(s) 1.0725 | Loss 0.1760 | Accuracy 0.9409 | ETputs(KTEPS) 728.99\n",
            "Epoch 00685 | Time(s) 1.0666 | Loss 0.1734 | Accuracy 0.9420 | ETputs(KTEPS) 729.01\n",
            "Epoch 00686 | Time(s) 1.0673 | Loss 0.1726 | Accuracy 0.9422 | ETputs(KTEPS) 729.02\n",
            "Epoch 00687 | Time(s) 1.0557 | Loss 0.1711 | Accuracy 0.9416 | ETputs(KTEPS) 729.04\n",
            "Epoch 00688 | Time(s) 1.1002 | Loss 0.1699 | Accuracy 0.9425 | ETputs(KTEPS) 729.02\n",
            "Epoch 00689 | Time(s) 1.0773 | Loss 0.1679 | Accuracy 0.9436 | ETputs(KTEPS) 729.03\n",
            "Epoch 00690 | Time(s) 1.0761 | Loss 0.1649 | Accuracy 0.9447 | ETputs(KTEPS) 729.03\n",
            "Epoch 00691 | Time(s) 1.0558 | Loss 0.1631 | Accuracy 0.9453 | ETputs(KTEPS) 729.05\n",
            "Epoch 00692 | Time(s) 1.0710 | Loss 0.1615 | Accuracy 0.9446 | ETputs(KTEPS) 729.06\n",
            "Epoch 00693 | Time(s) 1.0745 | Loss 0.1607 | Accuracy 0.9449 | ETputs(KTEPS) 729.07\n",
            "Epoch 00694 | Time(s) 1.0934 | Loss 0.1598 | Accuracy 0.9462 | ETputs(KTEPS) 729.05\n",
            "Epoch 00695 | Time(s) 1.0704 | Loss 0.1581 | Accuracy 0.9470 | ETputs(KTEPS) 729.06\n",
            "Epoch 00696 | Time(s) 1.0763 | Loss 0.1566 | Accuracy 0.9473 | ETputs(KTEPS) 729.06\n",
            "Epoch 00697 | Time(s) 1.0730 | Loss 0.1547 | Accuracy 0.9475 | ETputs(KTEPS) 729.07\n",
            "Epoch 00698 | Time(s) 1.1576 | Loss 0.1539 | Accuracy 0.9478 | ETputs(KTEPS) 729.00\n",
            "Epoch 00699 | Time(s) 1.0831 | Loss 0.1527 | Accuracy 0.9480 | ETputs(KTEPS) 728.99\n",
            "Epoch 00700 | Time(s) 1.0829 | Loss 0.1519 | Accuracy 0.9491 | ETputs(KTEPS) 728.99\n",
            "Epoch 00701 | Time(s) 1.0792 | Loss 0.1504 | Accuracy 0.9498 | ETputs(KTEPS) 728.99\n",
            "Epoch 00702 | Time(s) 1.0788 | Loss 0.1492 | Accuracy 0.9502 | ETputs(KTEPS) 728.99\n",
            "Epoch 00703 | Time(s) 1.0730 | Loss 0.1479 | Accuracy 0.9509 | ETputs(KTEPS) 729.00\n",
            "Epoch 00704 | Time(s) 1.0782 | Loss 0.1470 | Accuracy 0.9514 | ETputs(KTEPS) 729.00\n",
            "Epoch 00705 | Time(s) 1.0647 | Loss 0.1460 | Accuracy 0.9519 | ETputs(KTEPS) 729.01\n",
            "Epoch 00706 | Time(s) 1.0495 | Loss 0.1449 | Accuracy 0.9526 | ETputs(KTEPS) 729.04\n",
            "Epoch 00707 | Time(s) 1.1114 | Loss 0.1436 | Accuracy 0.9529 | ETputs(KTEPS) 729.01\n",
            "Epoch 00708 | Time(s) 1.0838 | Loss 0.1428 | Accuracy 0.9541 | ETputs(KTEPS) 729.01\n",
            "Epoch 00709 | Time(s) 1.1464 | Loss 0.1419 | Accuracy 0.9543 | ETputs(KTEPS) 728.94\n",
            "Epoch 00710 | Time(s) 1.0727 | Loss 0.1411 | Accuracy 0.9542 | ETputs(KTEPS) 728.95\n",
            "Epoch 00711 | Time(s) 1.0703 | Loss 0.1400 | Accuracy 0.9545 | ETputs(KTEPS) 728.96\n",
            "Epoch 00712 | Time(s) 1.0800 | Loss 0.1391 | Accuracy 0.9547 | ETputs(KTEPS) 728.96\n",
            "Epoch 00713 | Time(s) 1.0978 | Loss 0.1383 | Accuracy 0.9550 | ETputs(KTEPS) 728.94\n",
            "Epoch 00714 | Time(s) 1.0833 | Loss 0.1374 | Accuracy 0.9551 | ETputs(KTEPS) 728.94\n",
            "Epoch 00715 | Time(s) 1.0765 | Loss 0.1366 | Accuracy 0.9557 | ETputs(KTEPS) 728.94\n",
            "Epoch 00716 | Time(s) 1.0716 | Loss 0.1357 | Accuracy 0.9562 | ETputs(KTEPS) 728.95\n",
            "Epoch 00717 | Time(s) 1.0714 | Loss 0.1349 | Accuracy 0.9563 | ETputs(KTEPS) 728.96\n",
            "Epoch 00718 | Time(s) 1.0711 | Loss 0.1342 | Accuracy 0.9568 | ETputs(KTEPS) 728.97\n",
            "Epoch 00719 | Time(s) 1.1133 | Loss 0.1334 | Accuracy 0.9568 | ETputs(KTEPS) 728.93\n",
            "Epoch 00720 | Time(s) 1.0633 | Loss 0.1327 | Accuracy 0.9568 | ETputs(KTEPS) 728.95\n",
            "Epoch 00721 | Time(s) 1.0749 | Loss 0.1320 | Accuracy 0.9568 | ETputs(KTEPS) 728.95\n",
            "Epoch 00722 | Time(s) 1.0605 | Loss 0.1313 | Accuracy 0.9572 | ETputs(KTEPS) 728.97\n",
            "Epoch 00723 | Time(s) 1.0740 | Loss 0.1306 | Accuracy 0.9575 | ETputs(KTEPS) 728.98\n",
            "Epoch 00724 | Time(s) 1.1528 | Loss 0.1299 | Accuracy 0.9580 | ETputs(KTEPS) 728.91\n",
            "Epoch 00725 | Time(s) 1.1137 | Loss 0.1293 | Accuracy 0.9584 | ETputs(KTEPS) 728.88\n",
            "Epoch 00726 | Time(s) 1.0932 | Loss 0.1287 | Accuracy 0.9586 | ETputs(KTEPS) 728.87\n",
            "Epoch 00727 | Time(s) 1.0713 | Loss 0.1280 | Accuracy 0.9589 | ETputs(KTEPS) 728.87\n",
            "Epoch 00728 | Time(s) 1.0762 | Loss 0.1274 | Accuracy 0.9592 | ETputs(KTEPS) 728.88\n",
            "Epoch 00729 | Time(s) 1.0816 | Loss 0.1268 | Accuracy 0.9594 | ETputs(KTEPS) 728.88\n",
            "Epoch 00730 | Time(s) 1.0791 | Loss 0.1262 | Accuracy 0.9598 | ETputs(KTEPS) 728.88\n",
            "Epoch 00731 | Time(s) 1.0995 | Loss 0.1256 | Accuracy 0.9602 | ETputs(KTEPS) 728.86\n",
            "Epoch 00732 | Time(s) 1.0754 | Loss 0.1250 | Accuracy 0.9604 | ETputs(KTEPS) 728.86\n",
            "Epoch 00733 | Time(s) 1.0700 | Loss 0.1244 | Accuracy 0.9607 | ETputs(KTEPS) 728.87\n",
            "Epoch 00734 | Time(s) 1.0811 | Loss 0.1238 | Accuracy 0.9607 | ETputs(KTEPS) 728.87\n",
            "Epoch 00735 | Time(s) 1.1338 | Loss 0.1233 | Accuracy 0.9611 | ETputs(KTEPS) 728.82\n",
            "Epoch 00736 | Time(s) 1.0771 | Loss 0.1227 | Accuracy 0.9611 | ETputs(KTEPS) 728.82\n",
            "Epoch 00737 | Time(s) 1.0778 | Loss 0.1222 | Accuracy 0.9612 | ETputs(KTEPS) 728.83\n",
            "Epoch 00738 | Time(s) 1.0962 | Loss 0.1216 | Accuracy 0.9616 | ETputs(KTEPS) 728.81\n",
            "Epoch 00739 | Time(s) 1.0726 | Loss 0.1211 | Accuracy 0.9617 | ETputs(KTEPS) 728.82\n",
            "Epoch 00740 | Time(s) 1.0718 | Loss 0.1206 | Accuracy 0.9620 | ETputs(KTEPS) 728.83\n",
            "Epoch 00741 | Time(s) 1.0725 | Loss 0.1201 | Accuracy 0.9621 | ETputs(KTEPS) 728.83\n",
            "Epoch 00742 | Time(s) 1.0572 | Loss 0.1196 | Accuracy 0.9625 | ETputs(KTEPS) 728.85\n",
            "Epoch 00743 | Time(s) 1.0732 | Loss 0.1191 | Accuracy 0.9623 | ETputs(KTEPS) 728.86\n",
            "Epoch 00744 | Time(s) 1.0958 | Loss 0.1187 | Accuracy 0.9627 | ETputs(KTEPS) 728.84\n",
            "Epoch 00745 | Time(s) 1.0865 | Loss 0.1182 | Accuracy 0.9628 | ETputs(KTEPS) 728.84\n",
            "Epoch 00746 | Time(s) 1.0572 | Loss 0.1177 | Accuracy 0.9630 | ETputs(KTEPS) 728.86\n",
            "Epoch 00747 | Time(s) 1.0763 | Loss 0.1173 | Accuracy 0.9633 | ETputs(KTEPS) 728.86\n",
            "Epoch 00748 | Time(s) 1.0724 | Loss 0.1168 | Accuracy 0.9633 | ETputs(KTEPS) 728.87\n",
            "Epoch 00749 | Time(s) 1.0735 | Loss 0.1164 | Accuracy 0.9636 | ETputs(KTEPS) 728.87\n",
            "Epoch 00750 | Time(s) 1.0834 | Loss 0.1160 | Accuracy 0.9637 | ETputs(KTEPS) 728.87\n",
            "Epoch 00751 | Time(s) 1.0695 | Loss 0.1156 | Accuracy 0.9639 | ETputs(KTEPS) 728.88\n",
            "Epoch 00752 | Time(s) 1.0535 | Loss 0.1152 | Accuracy 0.9639 | ETputs(KTEPS) 728.90\n",
            "Epoch 00753 | Time(s) 1.0585 | Loss 0.1148 | Accuracy 0.9642 | ETputs(KTEPS) 728.92\n",
            "Epoch 00754 | Time(s) 1.0838 | Loss 0.1144 | Accuracy 0.9642 | ETputs(KTEPS) 728.92\n",
            "Epoch 00755 | Time(s) 1.0737 | Loss 0.1140 | Accuracy 0.9644 | ETputs(KTEPS) 728.93\n",
            "Epoch 00756 | Time(s) 1.0983 | Loss 0.1136 | Accuracy 0.9644 | ETputs(KTEPS) 728.91\n",
            "Epoch 00757 | Time(s) 1.0808 | Loss 0.1132 | Accuracy 0.9647 | ETputs(KTEPS) 728.91\n",
            "Epoch 00758 | Time(s) 1.1431 | Loss 0.1129 | Accuracy 0.9647 | ETputs(KTEPS) 728.85\n",
            "Epoch 00759 | Time(s) 1.0809 | Loss 0.1125 | Accuracy 0.9648 | ETputs(KTEPS) 728.85\n",
            "Epoch 00760 | Time(s) 1.0743 | Loss 0.1121 | Accuracy 0.9650 | ETputs(KTEPS) 728.86\n",
            "Epoch 00761 | Time(s) 1.0738 | Loss 0.1118 | Accuracy 0.9651 | ETputs(KTEPS) 728.86\n",
            "Epoch 00762 | Time(s) 1.0982 | Loss 0.1114 | Accuracy 0.9650 | ETputs(KTEPS) 728.85\n",
            "Epoch 00763 | Time(s) 1.0920 | Loss 0.1111 | Accuracy 0.9653 | ETputs(KTEPS) 728.83\n",
            "Epoch 00764 | Time(s) 1.0736 | Loss 0.1109 | Accuracy 0.9650 | ETputs(KTEPS) 728.84\n",
            "Epoch 00765 | Time(s) 1.0818 | Loss 0.1108 | Accuracy 0.9655 | ETputs(KTEPS) 728.84\n",
            "Epoch 00766 | Time(s) 1.0768 | Loss 0.1114 | Accuracy 0.9630 | ETputs(KTEPS) 728.84\n",
            "Epoch 00767 | Time(s) 1.0787 | Loss 0.1136 | Accuracy 0.9611 | ETputs(KTEPS) 728.84\n",
            "Epoch 00768 | Time(s) 1.0837 | Loss 0.1228 | Accuracy 0.9499 | ETputs(KTEPS) 728.84\n",
            "Epoch 00769 | Time(s) 1.1604 | Loss 0.1385 | Accuracy 0.9320 | ETputs(KTEPS) 728.77\n",
            "Epoch 00770 | Time(s) 1.0699 | Loss 0.1774 | Accuracy 0.9563 | ETputs(KTEPS) 728.78\n",
            "Epoch 00771 | Time(s) 1.0601 | Loss 0.1285 | Accuracy 0.9600 | ETputs(KTEPS) 728.79\n",
            "Epoch 00772 | Time(s) 1.0644 | Loss 0.1213 | Accuracy 0.9559 | ETputs(KTEPS) 728.81\n",
            "Epoch 00773 | Time(s) 1.0624 | Loss 0.1332 | Accuracy 0.9616 | ETputs(KTEPS) 728.82\n",
            "Epoch 00774 | Time(s) 1.0541 | Loss 0.1200 | Accuracy 0.9588 | ETputs(KTEPS) 728.85\n",
            "Epoch 00775 | Time(s) 1.1046 | Loss 0.1267 | Accuracy 0.9627 | ETputs(KTEPS) 728.83\n",
            "Epoch 00776 | Time(s) 1.0747 | Loss 0.1196 | Accuracy 0.9621 | ETputs(KTEPS) 728.83\n",
            "Epoch 00777 | Time(s) 1.0731 | Loss 0.1199 | Accuracy 0.9612 | ETputs(KTEPS) 728.84\n",
            "Epoch 00778 | Time(s) 1.0525 | Loss 0.1212 | Accuracy 0.9626 | ETputs(KTEPS) 728.86\n",
            "Epoch 00779 | Time(s) 1.0675 | Loss 0.1140 | Accuracy 0.9585 | ETputs(KTEPS) 728.87\n",
            "Epoch 00780 | Time(s) 1.0743 | Loss 0.1218 | Accuracy 0.9639 | ETputs(KTEPS) 728.87\n",
            "Epoch 00781 | Time(s) 1.0955 | Loss 0.1120 | Accuracy 0.9622 | ETputs(KTEPS) 728.86\n",
            "Epoch 00782 | Time(s) 1.0742 | Loss 0.1195 | Accuracy 0.9649 | ETputs(KTEPS) 728.87\n",
            "Epoch 00783 | Time(s) 1.0790 | Loss 0.1106 | Accuracy 0.9619 | ETputs(KTEPS) 728.87\n",
            "Epoch 00784 | Time(s) 1.1364 | Loss 0.1159 | Accuracy 0.9652 | ETputs(KTEPS) 728.82\n",
            "Epoch 00785 | Time(s) 1.0605 | Loss 0.1099 | Accuracy 0.9647 | ETputs(KTEPS) 728.84\n",
            "Epoch 00786 | Time(s) 1.0667 | Loss 0.1125 | Accuracy 0.9652 | ETputs(KTEPS) 728.85\n",
            "Epoch 00787 | Time(s) 1.1008 | Loss 0.1099 | Accuracy 0.9653 | ETputs(KTEPS) 728.83\n",
            "Epoch 00788 | Time(s) 1.0777 | Loss 0.1095 | Accuracy 0.9652 | ETputs(KTEPS) 728.83\n",
            "Epoch 00789 | Time(s) 1.0627 | Loss 0.1089 | Accuracy 0.9657 | ETputs(KTEPS) 728.85\n",
            "Epoch 00790 | Time(s) 1.0538 | Loss 0.1077 | Accuracy 0.9658 | ETputs(KTEPS) 728.87\n",
            "Epoch 00791 | Time(s) 1.0731 | Loss 0.1080 | Accuracy 0.9664 | ETputs(KTEPS) 728.87\n",
            "Epoch 00792 | Time(s) 1.0549 | Loss 0.1063 | Accuracy 0.9662 | ETputs(KTEPS) 728.89\n",
            "Epoch 00793 | Time(s) 1.0829 | Loss 0.1065 | Accuracy 0.9672 | ETputs(KTEPS) 728.89\n",
            "Epoch 00794 | Time(s) 1.0982 | Loss 0.1057 | Accuracy 0.9674 | ETputs(KTEPS) 728.88\n",
            "Epoch 00795 | Time(s) 1.1492 | Loss 0.1050 | Accuracy 0.9663 | ETputs(KTEPS) 728.82\n",
            "Epoch 00796 | Time(s) 1.0718 | Loss 0.1051 | Accuracy 0.9669 | ETputs(KTEPS) 728.82\n",
            "Epoch 00797 | Time(s) 1.0754 | Loss 0.1037 | Accuracy 0.9675 | ETputs(KTEPS) 728.83\n",
            "Epoch 00798 | Time(s) 1.0790 | Loss 0.1044 | Accuracy 0.9679 | ETputs(KTEPS) 728.83\n",
            "Epoch 00799 | Time(s) 1.0870 | Loss 0.1026 | Accuracy 0.9668 | ETputs(KTEPS) 728.82\n",
            "Epoch 00800 | Time(s) 1.1071 | Loss 0.1038 | Accuracy 0.9679 | ETputs(KTEPS) 728.80\n",
            "Epoch 00801 | Time(s) 1.0526 | Loss 0.1019 | Accuracy 0.9674 | ETputs(KTEPS) 728.82\n",
            "Epoch 00802 | Time(s) 1.0741 | Loss 0.1028 | Accuracy 0.9678 | ETputs(KTEPS) 728.83\n",
            "Epoch 00803 | Time(s) 1.0736 | Loss 0.1013 | Accuracy 0.9675 | ETputs(KTEPS) 728.83\n",
            "Epoch 00804 | Time(s) 1.0713 | Loss 0.1018 | Accuracy 0.9682 | ETputs(KTEPS) 728.84\n",
            "Epoch 00805 | Time(s) 1.0542 | Loss 0.1012 | Accuracy 0.9684 | ETputs(KTEPS) 728.86\n",
            "Epoch 00806 | Time(s) 1.0977 | Loss 0.1006 | Accuracy 0.9678 | ETputs(KTEPS) 728.85\n",
            "Epoch 00807 | Time(s) 1.0670 | Loss 0.1010 | Accuracy 0.9686 | ETputs(KTEPS) 728.86\n",
            "Epoch 00808 | Time(s) 1.0767 | Loss 0.0998 | Accuracy 0.9686 | ETputs(KTEPS) 728.86\n",
            "Epoch 00809 | Time(s) 1.0679 | Loss 0.1002 | Accuracy 0.9685 | ETputs(KTEPS) 728.87\n",
            "Epoch 00810 | Time(s) 1.0673 | Loss 0.0995 | Accuracy 0.9686 | ETputs(KTEPS) 728.88\n",
            "Epoch 00811 | Time(s) 1.0732 | Loss 0.0993 | Accuracy 0.9691 | ETputs(KTEPS) 728.89\n",
            "Epoch 00812 | Time(s) 1.0860 | Loss 0.0993 | Accuracy 0.9688 | ETputs(KTEPS) 728.88\n",
            "Epoch 00813 | Time(s) 1.0696 | Loss 0.0986 | Accuracy 0.9685 | ETputs(KTEPS) 728.89\n",
            "Epoch 00814 | Time(s) 1.0653 | Loss 0.0987 | Accuracy 0.9693 | ETputs(KTEPS) 728.90\n",
            "Epoch 00815 | Time(s) 1.0801 | Loss 0.0983 | Accuracy 0.9692 | ETputs(KTEPS) 728.90\n",
            "Epoch 00816 | Time(s) 1.0725 | Loss 0.0979 | Accuracy 0.9685 | ETputs(KTEPS) 728.91\n",
            "Epoch 00817 | Time(s) 1.0788 | Loss 0.0980 | Accuracy 0.9693 | ETputs(KTEPS) 728.91\n",
            "Epoch 00818 | Time(s) 1.2015 | Loss 0.0975 | Accuracy 0.9694 | ETputs(KTEPS) 728.81\n",
            "Epoch 00819 | Time(s) 1.0736 | Loss 0.0973 | Accuracy 0.9688 | ETputs(KTEPS) 728.82\n",
            "Epoch 00820 | Time(s) 1.0697 | Loss 0.0972 | Accuracy 0.9694 | ETputs(KTEPS) 728.82\n",
            "Epoch 00821 | Time(s) 1.0702 | Loss 0.0968 | Accuracy 0.9695 | ETputs(KTEPS) 728.83\n",
            "Epoch 00822 | Time(s) 1.0758 | Loss 0.0966 | Accuracy 0.9692 | ETputs(KTEPS) 728.83\n",
            "Epoch 00823 | Time(s) 1.0521 | Loss 0.0965 | Accuracy 0.9697 | ETputs(KTEPS) 728.86\n",
            "Epoch 00824 | Time(s) 1.1124 | Loss 0.0961 | Accuracy 0.9699 | ETputs(KTEPS) 728.83\n",
            "Epoch 00825 | Time(s) 1.0672 | Loss 0.0960 | Accuracy 0.9694 | ETputs(KTEPS) 728.84\n",
            "Epoch 00826 | Time(s) 1.0731 | Loss 0.0959 | Accuracy 0.9700 | ETputs(KTEPS) 728.85\n",
            "Epoch 00827 | Time(s) 1.0609 | Loss 0.0955 | Accuracy 0.9700 | ETputs(KTEPS) 728.86\n",
            "Epoch 00828 | Time(s) 1.0831 | Loss 0.0953 | Accuracy 0.9697 | ETputs(KTEPS) 728.86\n",
            "Epoch 00829 | Time(s) 1.1474 | Loss 0.0953 | Accuracy 0.9703 | ETputs(KTEPS) 728.81\n",
            "Epoch 00830 | Time(s) 1.0869 | Loss 0.0950 | Accuracy 0.9702 | ETputs(KTEPS) 728.80\n",
            "Epoch 00831 | Time(s) 1.0711 | Loss 0.0947 | Accuracy 0.9700 | ETputs(KTEPS) 728.81\n",
            "Epoch 00832 | Time(s) 1.0620 | Loss 0.0946 | Accuracy 0.9707 | ETputs(KTEPS) 728.82\n",
            "Epoch 00833 | Time(s) 1.0662 | Loss 0.0944 | Accuracy 0.9702 | ETputs(KTEPS) 728.83\n",
            "Epoch 00834 | Time(s) 1.0811 | Loss 0.0942 | Accuracy 0.9703 | ETputs(KTEPS) 728.83\n",
            "Epoch 00835 | Time(s) 1.0515 | Loss 0.0940 | Accuracy 0.9707 | ETputs(KTEPS) 728.85\n",
            "Epoch 00836 | Time(s) 1.0890 | Loss 0.0939 | Accuracy 0.9703 | ETputs(KTEPS) 728.85\n",
            "Epoch 00837 | Time(s) 1.0712 | Loss 0.0937 | Accuracy 0.9707 | ETputs(KTEPS) 728.85\n",
            "Epoch 00838 | Time(s) 1.0550 | Loss 0.0934 | Accuracy 0.9707 | ETputs(KTEPS) 728.87\n",
            "Epoch 00839 | Time(s) 1.0709 | Loss 0.0933 | Accuracy 0.9706 | ETputs(KTEPS) 728.88\n",
            "Epoch 00840 | Time(s) 1.0800 | Loss 0.0931 | Accuracy 0.9710 | ETputs(KTEPS) 728.88\n",
            "Epoch 00841 | Time(s) 1.0795 | Loss 0.0930 | Accuracy 0.9708 | ETputs(KTEPS) 728.88\n",
            "Epoch 00842 | Time(s) 1.0734 | Loss 0.0928 | Accuracy 0.9710 | ETputs(KTEPS) 728.89\n",
            "Epoch 00843 | Time(s) 1.1055 | Loss 0.0926 | Accuracy 0.9711 | ETputs(KTEPS) 728.87\n",
            "Epoch 00844 | Time(s) 1.1532 | Loss 0.0924 | Accuracy 0.9711 | ETputs(KTEPS) 728.81\n",
            "Epoch 00845 | Time(s) 1.0681 | Loss 0.0922 | Accuracy 0.9712 | ETputs(KTEPS) 728.82\n",
            "Epoch 00846 | Time(s) 1.0845 | Loss 0.0921 | Accuracy 0.9711 | ETputs(KTEPS) 728.81\n",
            "Epoch 00847 | Time(s) 1.0678 | Loss 0.0919 | Accuracy 0.9713 | ETputs(KTEPS) 728.82\n",
            "Epoch 00848 | Time(s) 1.0648 | Loss 0.0917 | Accuracy 0.9713 | ETputs(KTEPS) 728.84\n",
            "Epoch 00849 | Time(s) 1.0722 | Loss 0.0916 | Accuracy 0.9714 | ETputs(KTEPS) 728.84\n",
            "Epoch 00850 | Time(s) 1.0548 | Loss 0.0914 | Accuracy 0.9714 | ETputs(KTEPS) 728.86\n",
            "Epoch 00851 | Time(s) 1.0776 | Loss 0.0912 | Accuracy 0.9714 | ETputs(KTEPS) 728.86\n",
            "Epoch 00852 | Time(s) 1.0542 | Loss 0.0911 | Accuracy 0.9715 | ETputs(KTEPS) 728.88\n",
            "Epoch 00853 | Time(s) 1.0745 | Loss 0.0909 | Accuracy 0.9714 | ETputs(KTEPS) 728.89\n",
            "Epoch 00854 | Time(s) 1.0795 | Loss 0.0908 | Accuracy 0.9716 | ETputs(KTEPS) 728.89\n",
            "Epoch 00855 | Time(s) 1.1667 | Loss 0.0906 | Accuracy 0.9715 | ETputs(KTEPS) 728.82\n",
            "Epoch 00856 | Time(s) 1.0809 | Loss 0.0905 | Accuracy 0.9717 | ETputs(KTEPS) 728.82\n",
            "Epoch 00857 | Time(s) 1.0661 | Loss 0.0903 | Accuracy 0.9716 | ETputs(KTEPS) 728.83\n",
            "Epoch 00858 | Time(s) 1.0681 | Loss 0.0902 | Accuracy 0.9718 | ETputs(KTEPS) 728.84\n",
            "Epoch 00859 | Time(s) 1.0717 | Loss 0.0900 | Accuracy 0.9716 | ETputs(KTEPS) 728.85\n",
            "Epoch 00860 | Time(s) 1.0727 | Loss 0.0899 | Accuracy 0.9719 | ETputs(KTEPS) 728.85\n",
            "Epoch 00861 | Time(s) 1.1074 | Loss 0.0897 | Accuracy 0.9716 | ETputs(KTEPS) 728.83\n",
            "Epoch 00862 | Time(s) 1.0826 | Loss 0.0896 | Accuracy 0.9720 | ETputs(KTEPS) 728.83\n",
            "Epoch 00863 | Time(s) 1.0731 | Loss 0.0896 | Accuracy 0.9713 | ETputs(KTEPS) 728.83\n",
            "Epoch 00864 | Time(s) 1.0754 | Loss 0.0896 | Accuracy 0.9719 | ETputs(KTEPS) 728.84\n",
            "Epoch 00865 | Time(s) 1.0707 | Loss 0.0900 | Accuracy 0.9698 | ETputs(KTEPS) 728.84\n",
            "Epoch 00866 | Time(s) 1.0810 | Loss 0.0911 | Accuracy 0.9700 | ETputs(KTEPS) 728.84\n",
            "Epoch 00867 | Time(s) 1.0755 | Loss 0.0946 | Accuracy 0.9649 | ETputs(KTEPS) 728.85\n",
            "Epoch 00868 | Time(s) 1.0802 | Loss 0.1024 | Accuracy 0.9574 | ETputs(KTEPS) 728.85\n",
            "Epoch 00869 | Time(s) 1.0662 | Loss 0.1261 | Accuracy 0.9419 | ETputs(KTEPS) 728.86\n",
            "Epoch 00870 | Time(s) 1.0741 | Loss 0.1576 | Accuracy 0.9041 | ETputs(KTEPS) 728.86\n",
            "Epoch 00871 | Time(s) 1.0752 | Loss 0.2368 | Accuracy 0.9600 | ETputs(KTEPS) 728.87\n",
            "Epoch 00872 | Time(s) 1.0713 | Loss 0.1239 | Accuracy 0.9328 | ETputs(KTEPS) 728.87\n",
            "Epoch 00873 | Time(s) 1.0713 | Loss 0.1873 | Accuracy 0.9582 | ETputs(KTEPS) 728.88\n",
            "Epoch 00874 | Time(s) 1.0618 | Loss 0.1256 | Accuracy 0.9208 | ETputs(KTEPS) 728.89\n",
            "Epoch 00875 | Time(s) 1.0704 | Loss 0.1912 | Accuracy 0.9575 | ETputs(KTEPS) 728.90\n",
            "Epoch 00876 | Time(s) 1.0648 | Loss 0.1283 | Accuracy 0.9538 | ETputs(KTEPS) 728.91\n",
            "Epoch 00877 | Time(s) 1.0782 | Loss 0.1442 | Accuracy 0.9436 | ETputs(KTEPS) 728.91\n",
            "Epoch 00878 | Time(s) 1.1452 | Loss 0.1669 | Accuracy 0.9584 | ETputs(KTEPS) 728.86\n",
            "Epoch 00879 | Time(s) 1.0732 | Loss 0.1242 | Accuracy 0.9556 | ETputs(KTEPS) 728.87\n",
            "Epoch 00880 | Time(s) 1.0712 | Loss 0.1308 | Accuracy 0.9481 | ETputs(KTEPS) 728.87\n",
            "Epoch 00881 | Time(s) 1.0681 | Loss 0.1501 | Accuracy 0.9597 | ETputs(KTEPS) 728.88\n",
            "Epoch 00882 | Time(s) 1.0711 | Loss 0.1232 | Accuracy 0.9602 | ETputs(KTEPS) 728.89\n",
            "Epoch 00883 | Time(s) 1.0690 | Loss 0.1172 | Accuracy 0.9551 | ETputs(KTEPS) 728.90\n",
            "Epoch 00884 | Time(s) 1.0754 | Loss 0.1337 | Accuracy 0.9621 | ETputs(KTEPS) 728.90\n",
            "Epoch 00885 | Time(s) 1.0850 | Loss 0.1174 | Accuracy 0.9639 | ETputs(KTEPS) 728.90\n",
            "Epoch 00886 | Time(s) 1.0952 | Loss 0.1137 | Accuracy 0.9531 | ETputs(KTEPS) 728.89\n",
            "Epoch 00887 | Time(s) 1.0555 | Loss 0.1257 | Accuracy 0.9635 | ETputs(KTEPS) 728.90\n",
            "Epoch 00888 | Time(s) 1.0694 | Loss 0.1163 | Accuracy 0.9664 | ETputs(KTEPS) 728.91\n",
            "Epoch 00889 | Time(s) 1.1439 | Loss 0.1058 | Accuracy 0.9628 | ETputs(KTEPS) 728.86\n",
            "Epoch 00890 | Time(s) 1.0821 | Loss 0.1147 | Accuracy 0.9641 | ETputs(KTEPS) 728.86\n",
            "Epoch 00891 | Time(s) 1.0670 | Loss 0.1097 | Accuracy 0.9657 | ETputs(KTEPS) 728.87\n",
            "Epoch 00892 | Time(s) 1.0795 | Loss 0.1033 | Accuracy 0.9631 | ETputs(KTEPS) 728.87\n",
            "Epoch 00893 | Time(s) 1.0766 | Loss 0.1097 | Accuracy 0.9641 | ETputs(KTEPS) 728.87\n",
            "Epoch 00894 | Time(s) 1.0710 | Loss 0.1074 | Accuracy 0.9670 | ETputs(KTEPS) 728.88\n",
            "Epoch 00895 | Time(s) 1.0608 | Loss 0.1006 | Accuracy 0.9657 | ETputs(KTEPS) 728.90\n",
            "Epoch 00896 | Time(s) 1.0846 | Loss 0.1041 | Accuracy 0.9660 | ETputs(KTEPS) 728.89\n",
            "Epoch 00897 | Time(s) 1.0779 | Loss 0.1037 | Accuracy 0.9685 | ETputs(KTEPS) 728.89\n",
            "Epoch 00898 | Time(s) 1.0742 | Loss 0.0987 | Accuracy 0.9670 | ETputs(KTEPS) 728.90\n",
            "Epoch 00899 | Time(s) 1.0671 | Loss 0.1008 | Accuracy 0.9676 | ETputs(KTEPS) 728.91\n",
            "Epoch 00900 | Time(s) 1.0571 | Loss 0.1000 | Accuracy 0.9686 | ETputs(KTEPS) 728.92\n",
            "Epoch 00901 | Time(s) 1.0747 | Loss 0.0961 | Accuracy 0.9688 | ETputs(KTEPS) 728.93\n",
            "Epoch 00902 | Time(s) 1.0698 | Loss 0.0980 | Accuracy 0.9690 | ETputs(KTEPS) 728.94\n",
            "Epoch 00903 | Time(s) 1.0756 | Loss 0.0976 | Accuracy 0.9691 | ETputs(KTEPS) 728.94\n",
            "Epoch 00904 | Time(s) 1.1481 | Loss 0.0949 | Accuracy 0.9688 | ETputs(KTEPS) 728.89\n",
            "Epoch 00905 | Time(s) 1.0722 | Loss 0.0962 | Accuracy 0.9694 | ETputs(KTEPS) 728.89\n",
            "Epoch 00906 | Time(s) 1.0775 | Loss 0.0948 | Accuracy 0.9698 | ETputs(KTEPS) 728.90\n",
            "Epoch 00907 | Time(s) 1.0719 | Loss 0.0933 | Accuracy 0.9691 | ETputs(KTEPS) 728.90\n",
            "Epoch 00908 | Time(s) 1.0727 | Loss 0.0942 | Accuracy 0.9704 | ETputs(KTEPS) 728.91\n",
            "Epoch 00909 | Time(s) 1.0870 | Loss 0.0923 | Accuracy 0.9709 | ETputs(KTEPS) 728.90\n",
            "Epoch 00910 | Time(s) 1.0537 | Loss 0.0926 | Accuracy 0.9709 | ETputs(KTEPS) 728.92\n",
            "Epoch 00911 | Time(s) 1.0878 | Loss 0.0925 | Accuracy 0.9711 | ETputs(KTEPS) 728.91\n",
            "Epoch 00912 | Time(s) 1.0676 | Loss 0.0911 | Accuracy 0.9704 | ETputs(KTEPS) 728.92\n",
            "Epoch 00913 | Time(s) 1.0636 | Loss 0.0918 | Accuracy 0.9710 | ETputs(KTEPS) 728.94\n",
            "Epoch 00914 | Time(s) 1.0527 | Loss 0.0906 | Accuracy 0.9715 | ETputs(KTEPS) 728.96\n",
            "Epoch 00915 | Time(s) 1.1351 | Loss 0.0904 | Accuracy 0.9714 | ETputs(KTEPS) 728.92\n",
            "Epoch 00916 | Time(s) 1.0663 | Loss 0.0905 | Accuracy 0.9716 | ETputs(KTEPS) 728.93\n",
            "Epoch 00917 | Time(s) 1.0786 | Loss 0.0895 | Accuracy 0.9708 | ETputs(KTEPS) 728.93\n",
            "Epoch 00918 | Time(s) 1.0757 | Loss 0.0899 | Accuracy 0.9713 | ETputs(KTEPS) 728.93\n",
            "Epoch 00919 | Time(s) 1.0652 | Loss 0.0891 | Accuracy 0.9717 | ETputs(KTEPS) 728.94\n",
            "Epoch 00920 | Time(s) 1.0785 | Loss 0.0890 | Accuracy 0.9716 | ETputs(KTEPS) 728.94\n",
            "Epoch 00921 | Time(s) 1.0832 | Loss 0.0888 | Accuracy 0.9718 | ETputs(KTEPS) 728.94\n",
            "Epoch 00922 | Time(s) 1.0692 | Loss 0.0883 | Accuracy 0.9716 | ETputs(KTEPS) 728.95\n",
            "Epoch 00923 | Time(s) 1.0782 | Loss 0.0884 | Accuracy 0.9722 | ETputs(KTEPS) 728.95\n",
            "Epoch 00924 | Time(s) 1.0632 | Loss 0.0878 | Accuracy 0.9723 | ETputs(KTEPS) 728.96\n",
            "Epoch 00925 | Time(s) 1.0481 | Loss 0.0878 | Accuracy 0.9724 | ETputs(KTEPS) 728.98\n",
            "Epoch 00926 | Time(s) 1.0749 | Loss 0.0874 | Accuracy 0.9722 | ETputs(KTEPS) 728.99\n",
            "Epoch 00927 | Time(s) 1.0822 | Loss 0.0872 | Accuracy 0.9721 | ETputs(KTEPS) 728.98\n",
            "Epoch 00928 | Time(s) 1.0792 | Loss 0.0871 | Accuracy 0.9728 | ETputs(KTEPS) 728.98\n",
            "Epoch 00929 | Time(s) 1.0744 | Loss 0.0867 | Accuracy 0.9728 | ETputs(KTEPS) 728.99\n",
            "Epoch 00930 | Time(s) 1.0989 | Loss 0.0866 | Accuracy 0.9727 | ETputs(KTEPS) 728.97\n",
            "Epoch 00931 | Time(s) 1.0728 | Loss 0.0863 | Accuracy 0.9726 | ETputs(KTEPS) 728.98\n",
            "Epoch 00932 | Time(s) 1.0690 | Loss 0.0862 | Accuracy 0.9729 | ETputs(KTEPS) 728.99\n",
            "Epoch 00933 | Time(s) 1.0690 | Loss 0.0859 | Accuracy 0.9731 | ETputs(KTEPS) 729.00\n",
            "Epoch 00934 | Time(s) 1.0522 | Loss 0.0858 | Accuracy 0.9729 | ETputs(KTEPS) 729.01\n",
            "Epoch 00935 | Time(s) 1.0745 | Loss 0.0855 | Accuracy 0.9728 | ETputs(KTEPS) 729.02\n",
            "Epoch 00936 | Time(s) 1.0784 | Loss 0.0855 | Accuracy 0.9731 | ETputs(KTEPS) 729.02\n",
            "Epoch 00937 | Time(s) 1.0787 | Loss 0.0851 | Accuracy 0.9734 | ETputs(KTEPS) 729.02\n",
            "Epoch 00938 | Time(s) 1.1425 | Loss 0.0851 | Accuracy 0.9732 | ETputs(KTEPS) 728.98\n",
            "Epoch 00939 | Time(s) 1.0772 | Loss 0.0848 | Accuracy 0.9732 | ETputs(KTEPS) 728.98\n",
            "Epoch 00940 | Time(s) 1.0887 | Loss 0.0847 | Accuracy 0.9733 | ETputs(KTEPS) 728.97\n",
            "Epoch 00941 | Time(s) 1.0704 | Loss 0.0845 | Accuracy 0.9734 | ETputs(KTEPS) 728.98\n",
            "Epoch 00942 | Time(s) 1.0837 | Loss 0.0844 | Accuracy 0.9734 | ETputs(KTEPS) 728.97\n",
            "Epoch 00943 | Time(s) 1.0687 | Loss 0.0842 | Accuracy 0.9733 | ETputs(KTEPS) 728.98\n",
            "Epoch 00944 | Time(s) 1.0766 | Loss 0.0841 | Accuracy 0.9735 | ETputs(KTEPS) 728.98\n",
            "Epoch 00945 | Time(s) 1.0774 | Loss 0.0839 | Accuracy 0.9737 | ETputs(KTEPS) 728.99\n",
            "Epoch 00946 | Time(s) 1.0790 | Loss 0.0838 | Accuracy 0.9736 | ETputs(KTEPS) 728.99\n",
            "Epoch 00947 | Time(s) 1.0754 | Loss 0.0836 | Accuracy 0.9735 | ETputs(KTEPS) 728.99\n",
            "Epoch 00948 | Time(s) 1.0811 | Loss 0.0834 | Accuracy 0.9738 | ETputs(KTEPS) 728.99\n",
            "Epoch 00949 | Time(s) 1.1418 | Loss 0.0833 | Accuracy 0.9739 | ETputs(KTEPS) 728.94\n",
            "Epoch 00950 | Time(s) 1.0911 | Loss 0.0831 | Accuracy 0.9737 | ETputs(KTEPS) 728.94\n",
            "Epoch 00951 | Time(s) 1.0774 | Loss 0.0830 | Accuracy 0.9737 | ETputs(KTEPS) 728.94\n",
            "Epoch 00952 | Time(s) 1.0694 | Loss 0.0828 | Accuracy 0.9739 | ETputs(KTEPS) 728.95\n",
            "Epoch 00953 | Time(s) 1.0733 | Loss 0.0827 | Accuracy 0.9740 | ETputs(KTEPS) 728.95\n",
            "Epoch 00954 | Time(s) 1.0948 | Loss 0.0825 | Accuracy 0.9739 | ETputs(KTEPS) 728.94\n",
            "Epoch 00955 | Time(s) 1.0894 | Loss 0.0824 | Accuracy 0.9740 | ETputs(KTEPS) 728.93\n",
            "Epoch 00956 | Time(s) 1.0762 | Loss 0.0823 | Accuracy 0.9741 | ETputs(KTEPS) 728.94\n",
            "Epoch 00957 | Time(s) 1.0704 | Loss 0.0822 | Accuracy 0.9739 | ETputs(KTEPS) 728.94\n",
            "Epoch 00958 | Time(s) 1.0711 | Loss 0.0820 | Accuracy 0.9740 | ETputs(KTEPS) 728.95\n",
            "Epoch 00959 | Time(s) 1.0705 | Loss 0.0819 | Accuracy 0.9741 | ETputs(KTEPS) 728.95\n",
            "Epoch 00960 | Time(s) 1.0772 | Loss 0.0817 | Accuracy 0.9740 | ETputs(KTEPS) 728.96\n",
            "Epoch 00961 | Time(s) 1.0768 | Loss 0.0816 | Accuracy 0.9740 | ETputs(KTEPS) 728.96\n",
            "Epoch 00962 | Time(s) 1.0544 | Loss 0.0815 | Accuracy 0.9740 | ETputs(KTEPS) 728.98\n",
            "Epoch 00963 | Time(s) 1.0711 | Loss 0.0814 | Accuracy 0.9742 | ETputs(KTEPS) 728.98\n",
            "Epoch 00964 | Time(s) 1.1427 | Loss 0.0812 | Accuracy 0.9741 | ETputs(KTEPS) 728.94\n",
            "Epoch 00965 | Time(s) 1.0669 | Loss 0.0811 | Accuracy 0.9742 | ETputs(KTEPS) 728.95\n",
            "Epoch 00966 | Time(s) 1.0703 | Loss 0.0810 | Accuracy 0.9743 | ETputs(KTEPS) 728.95\n",
            "Epoch 00967 | Time(s) 1.0670 | Loss 0.0809 | Accuracy 0.9742 | ETputs(KTEPS) 728.96\n",
            "Epoch 00968 | Time(s) 1.0748 | Loss 0.0808 | Accuracy 0.9744 | ETputs(KTEPS) 728.97\n",
            "Epoch 00969 | Time(s) 1.0847 | Loss 0.0806 | Accuracy 0.9744 | ETputs(KTEPS) 728.96\n",
            "Epoch 00970 | Time(s) 1.0752 | Loss 0.0805 | Accuracy 0.9744 | ETputs(KTEPS) 728.97\n",
            "Epoch 00971 | Time(s) 1.0714 | Loss 0.0804 | Accuracy 0.9745 | ETputs(KTEPS) 728.97\n",
            "Epoch 00972 | Time(s) 1.0617 | Loss 0.0803 | Accuracy 0.9746 | ETputs(KTEPS) 728.98\n",
            "Epoch 00973 | Time(s) 1.0848 | Loss 0.0802 | Accuracy 0.9745 | ETputs(KTEPS) 728.98\n",
            "Epoch 00974 | Time(s) 1.0777 | Loss 0.0801 | Accuracy 0.9745 | ETputs(KTEPS) 728.98\n",
            "Epoch 00975 | Time(s) 1.1523 | Loss 0.0799 | Accuracy 0.9746 | ETputs(KTEPS) 728.93\n",
            "Epoch 00976 | Time(s) 1.0694 | Loss 0.0798 | Accuracy 0.9747 | ETputs(KTEPS) 728.94\n",
            "Epoch 00977 | Time(s) 1.0751 | Loss 0.0797 | Accuracy 0.9747 | ETputs(KTEPS) 728.94\n",
            "Epoch 00978 | Time(s) 1.0666 | Loss 0.0796 | Accuracy 0.9747 | ETputs(KTEPS) 728.95\n",
            "Epoch 00979 | Time(s) 1.0850 | Loss 0.0795 | Accuracy 0.9747 | ETputs(KTEPS) 728.95\n",
            "Epoch 00980 | Time(s) 1.0885 | Loss 0.0794 | Accuracy 0.9748 | ETputs(KTEPS) 728.94\n",
            "Epoch 00981 | Time(s) 1.0858 | Loss 0.0793 | Accuracy 0.9748 | ETputs(KTEPS) 728.94\n",
            "Epoch 00982 | Time(s) 1.0791 | Loss 0.0792 | Accuracy 0.9749 | ETputs(KTEPS) 728.94\n",
            "Epoch 00983 | Time(s) 1.0772 | Loss 0.0791 | Accuracy 0.9749 | ETputs(KTEPS) 728.94\n",
            "Epoch 00984 | Time(s) 1.0847 | Loss 0.0790 | Accuracy 0.9749 | ETputs(KTEPS) 728.94\n",
            "Epoch 00985 | Time(s) 1.0745 | Loss 0.0789 | Accuracy 0.9750 | ETputs(KTEPS) 728.94\n",
            "Epoch 00986 | Time(s) 1.0803 | Loss 0.0788 | Accuracy 0.9750 | ETputs(KTEPS) 728.94\n",
            "Epoch 00987 | Time(s) 1.0736 | Loss 0.0787 | Accuracy 0.9751 | ETputs(KTEPS) 728.94\n",
            "Epoch 00988 | Time(s) 1.0743 | Loss 0.0785 | Accuracy 0.9751 | ETputs(KTEPS) 728.95\n",
            "Epoch 00989 | Time(s) 1.0661 | Loss 0.0784 | Accuracy 0.9752 | ETputs(KTEPS) 728.96\n",
            "Epoch 00990 | Time(s) 1.0723 | Loss 0.0783 | Accuracy 0.9752 | ETputs(KTEPS) 728.96\n",
            "Epoch 00991 | Time(s) 1.0560 | Loss 0.0782 | Accuracy 0.9752 | ETputs(KTEPS) 728.98\n",
            "Epoch 00992 | Time(s) 1.0852 | Loss 0.0781 | Accuracy 0.9752 | ETputs(KTEPS) 728.98\n",
            "Epoch 00993 | Time(s) 1.0792 | Loss 0.0780 | Accuracy 0.9752 | ETputs(KTEPS) 728.98\n",
            "Epoch 00994 | Time(s) 1.0808 | Loss 0.0779 | Accuracy 0.9753 | ETputs(KTEPS) 728.97\n",
            "Epoch 00995 | Time(s) 1.0731 | Loss 0.0778 | Accuracy 0.9753 | ETputs(KTEPS) 728.98\n",
            "Epoch 00996 | Time(s) 1.0731 | Loss 0.0777 | Accuracy 0.9753 | ETputs(KTEPS) 728.98\n",
            "Epoch 00997 | Time(s) 1.0720 | Loss 0.0776 | Accuracy 0.9754 | ETputs(KTEPS) 728.99\n",
            "Epoch 00998 | Time(s) 1.1549 | Loss 0.0775 | Accuracy 0.9754 | ETputs(KTEPS) 728.94\n",
            "Epoch 00999 | Time(s) 1.0660 | Loss 0.0774 | Accuracy 0.9754 | ETputs(KTEPS) 728.95\n",
            "Inference time: avg time 1.0798, stdev time 0.0400\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30115 fp 374 tn 46875 fn 1346\n",
            "accuracy 0.9781\n",
            "precision 0.9877\n",
            "recall 0.9572\n",
            "tnr 0.9921\n",
            "tpr 0.9572\n",
            "f1 0.9722\n",
            "acc/pre/rec:  97.81%/98.77%/95.72%\n",
            "\n",
            "************loading the specified graph and feature data************\n",
            "Loaded graph:  top10k rand5k Graph(num_nodes=30811, num_edges=787107,\n",
            "      ndata_schemes={}\n",
            "      edata_schemes={}) \n",
            "\n",
            "node feature shape: torch.Size([30811, 605])\n",
            "edge feature shape: torch.Size([787107, 1666])\n",
            "edge labels shape: torch.Size([787107])\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "***************************loading completed***************************\n",
            "\n",
            "model load from: ./output/best.model.tmp_model_name\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30168 fp 252 tn 47080 fn 1210\n",
            "accuracy 0.9814\n",
            "precision 0.9917\n",
            "recall 0.9614\n",
            "tnr 0.9947\n",
            "tpr 0.9614\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/99.17%/96.14%\n",
            "time: 0.9023\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30167 fp 277 tn 46973 fn 1293\n",
            "accuracy 0.9801\n",
            "precision 0.9909\n",
            "recall 0.9589\n",
            "tnr 0.9941\n",
            "tpr 0.9589\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.01%/99.09%/95.89%\n",
            "time: 0.9029\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29961 fp 285 tn 47200 fn 1264\n",
            "accuracy 0.9803\n",
            "precision 0.9906\n",
            "recall 0.9595\n",
            "tnr 0.9940\n",
            "tpr 0.9595\n",
            "f1 0.9748\n",
            "acc/pre/rec:  98.03%/99.06%/95.95%\n",
            "time: 0.9013\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30173 fp 316 tn 47015 fn 1206\n",
            "accuracy 0.9807\n",
            "precision 0.9896\n",
            "recall 0.9616\n",
            "tnr 0.9933\n",
            "tpr 0.9616\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/98.96%/96.16%\n",
            "time: 0.9012\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30052 fp 274 tn 47115 fn 1269\n",
            "accuracy 0.9804\n",
            "precision 0.9910\n",
            "recall 0.9595\n",
            "tnr 0.9942\n",
            "tpr 0.9595\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.04%/99.10%/95.95%\n",
            "time: 0.9145\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30055 fp 249 tn 47159 fn 1247\n",
            "accuracy 0.9810\n",
            "precision 0.9918\n",
            "recall 0.9602\n",
            "tnr 0.9947\n",
            "tpr 0.9602\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/99.18%/96.02%\n",
            "time: 0.9036\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30180 fp 273 tn 47004 fn 1253\n",
            "accuracy 0.9806\n",
            "precision 0.9910\n",
            "recall 0.9601\n",
            "tnr 0.9942\n",
            "tpr 0.9601\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.06%/99.10%/96.01%\n",
            "time: 0.9040\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30016 fp 255 tn 47199 fn 1240\n",
            "accuracy 0.9810\n",
            "precision 0.9916\n",
            "recall 0.9603\n",
            "tnr 0.9946\n",
            "tpr 0.9603\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/99.16%/96.03%\n",
            "time: 0.9142\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30089 fp 270 tn 47081 fn 1270\n",
            "accuracy 0.9804\n",
            "precision 0.9911\n",
            "recall 0.9595\n",
            "tnr 0.9943\n",
            "tpr 0.9595\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.04%/99.11%/95.95%\n",
            "time: 0.8854\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30010 fp 272 tn 47168 fn 1260\n",
            "accuracy 0.9805\n",
            "precision 0.9910\n",
            "recall 0.9597\n",
            "tnr 0.9943\n",
            "tpr 0.9597\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.05%/99.10%/95.97%\n",
            "time: 0.8955\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30058 fp 260 tn 47110 fn 1282\n",
            "accuracy 0.9804\n",
            "precision 0.9914\n",
            "recall 0.9591\n",
            "tnr 0.9945\n",
            "tpr 0.9591\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.04%/99.14%/95.91%\n",
            "time: 0.8963\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30263 fp 261 tn 46968 fn 1218\n",
            "accuracy 0.9812\n",
            "precision 0.9914\n",
            "recall 0.9613\n",
            "tnr 0.9945\n",
            "tpr 0.9613\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/99.14%/96.13%\n",
            "time: 0.8997\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30295 fp 262 tn 46932 fn 1221\n",
            "accuracy 0.9812\n",
            "precision 0.9914\n",
            "recall 0.9613\n",
            "tnr 0.9944\n",
            "tpr 0.9613\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/99.14%/96.13%\n",
            "time: 0.9209\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29988 fp 278 tn 47259 fn 1185\n",
            "accuracy 0.9814\n",
            "precision 0.9908\n",
            "recall 0.9620\n",
            "tnr 0.9942\n",
            "tpr 0.9620\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.14%/99.08%/96.20%\n",
            "time: 0.8989\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30111 fp 282 tn 47025 fn 1292\n",
            "accuracy 0.9800\n",
            "precision 0.9907\n",
            "recall 0.9589\n",
            "tnr 0.9940\n",
            "tpr 0.9589\n",
            "f1 0.9745\n",
            "acc/pre/rec:  98.00%/99.07%/95.89%\n",
            "time: 0.9032\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30170 fp 264 tn 47025 fn 1251\n",
            "accuracy 0.9808\n",
            "precision 0.9913\n",
            "recall 0.9602\n",
            "tnr 0.9944\n",
            "tpr 0.9602\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/99.13%/96.02%\n",
            "time: 0.8898\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30243 fp 292 tn 46928 fn 1247\n",
            "accuracy 0.9804\n",
            "precision 0.9904\n",
            "recall 0.9604\n",
            "tnr 0.9938\n",
            "tpr 0.9604\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.04%/99.04%/96.04%\n",
            "time: 0.8912\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30076 fp 245 tn 47172 fn 1217\n",
            "accuracy 0.9814\n",
            "precision 0.9919\n",
            "recall 0.9611\n",
            "tnr 0.9948\n",
            "tpr 0.9611\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.14%/99.19%/96.11%\n",
            "time: 0.8914\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29901 fp 266 tn 47324 fn 1219\n",
            "accuracy 0.9811\n",
            "precision 0.9912\n",
            "recall 0.9608\n",
            "tnr 0.9944\n",
            "tpr 0.9608\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.11%/99.12%/96.08%\n",
            "time: 0.8968\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29924 fp 272 tn 47220 fn 1294\n",
            "accuracy 0.9801\n",
            "precision 0.9910\n",
            "recall 0.9585\n",
            "tnr 0.9943\n",
            "tpr 0.9585\n",
            "f1 0.9745\n",
            "acc/pre/rec:  98.01%/99.10%/95.85%\n",
            "time: 0.9056\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30041 fp 275 tn 47173 fn 1221\n",
            "accuracy 0.9810\n",
            "precision 0.9909\n",
            "recall 0.9609\n",
            "tnr 0.9942\n",
            "tpr 0.9609\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/99.09%/96.09%\n",
            "time: 0.9150\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30172 fp 295 tn 47048 fn 1195\n",
            "accuracy 0.9811\n",
            "precision 0.9903\n",
            "recall 0.9619\n",
            "tnr 0.9938\n",
            "tpr 0.9619\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.11%/99.03%/96.19%\n",
            "time: 0.9011\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30141 fp 239 tn 47067 fn 1263\n",
            "accuracy 0.9809\n",
            "precision 0.9921\n",
            "recall 0.9598\n",
            "tnr 0.9949\n",
            "tpr 0.9598\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.09%/99.21%/95.98%\n",
            "time: 0.9021\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30099 fp 264 tn 47076 fn 1271\n",
            "accuracy 0.9805\n",
            "precision 0.9913\n",
            "recall 0.9595\n",
            "tnr 0.9944\n",
            "tpr 0.9595\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.05%/99.13%/95.95%\n",
            "time: 0.9043\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30021 fp 244 tn 47131 fn 1314\n",
            "accuracy 0.9802\n",
            "precision 0.9919\n",
            "recall 0.9581\n",
            "tnr 0.9948\n",
            "tpr 0.9581\n",
            "f1 0.9747\n",
            "acc/pre/rec:  98.02%/99.19%/95.81%\n",
            "time: 0.9020\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30045 fp 283 tn 47074 fn 1308\n",
            "accuracy 0.9798\n",
            "precision 0.9907\n",
            "recall 0.9583\n",
            "tnr 0.9940\n",
            "tpr 0.9583\n",
            "f1 0.9742\n",
            "acc/pre/rec:  97.98%/99.07%/95.83%\n",
            "time: 0.8985\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30224 fp 298 tn 46961 fn 1227\n",
            "accuracy 0.9806\n",
            "precision 0.9902\n",
            "recall 0.9610\n",
            "tnr 0.9937\n",
            "tpr 0.9610\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.06%/99.02%/96.10%\n",
            "time: 0.9118\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29978 fp 257 tn 47225 fn 1250\n",
            "accuracy 0.9809\n",
            "precision 0.9915\n",
            "recall 0.9600\n",
            "tnr 0.9946\n",
            "tpr 0.9600\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.09%/99.15%/96.00%\n",
            "time: 0.9544\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30130 fp 266 tn 47061 fn 1253\n",
            "accuracy 0.9807\n",
            "precision 0.9912\n",
            "recall 0.9601\n",
            "tnr 0.9944\n",
            "tpr 0.9601\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/99.12%/96.01%\n",
            "time: 0.9072\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30207 fp 253 tn 47047 fn 1203\n",
            "accuracy 0.9815\n",
            "precision 0.9917\n",
            "recall 0.9617\n",
            "tnr 0.9947\n",
            "tpr 0.9617\n",
            "f1 0.9765\n",
            "acc/pre/rec:  98.15%/99.17%/96.17%\n",
            "time: 0.8940\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30275 fp 292 tn 46881 fn 1262\n",
            "accuracy 0.9803\n",
            "precision 0.9904\n",
            "recall 0.9600\n",
            "tnr 0.9938\n",
            "tpr 0.9600\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.03%/99.04%/96.00%\n",
            "time: 0.9022\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30081 fp 261 tn 47043 fn 1325\n",
            "accuracy 0.9799\n",
            "precision 0.9914\n",
            "recall 0.9578\n",
            "tnr 0.9945\n",
            "tpr 0.9578\n",
            "f1 0.9743\n",
            "acc/pre/rec:  97.99%/99.14%/95.78%\n",
            "time: 0.8971\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30120 fp 293 tn 47024 fn 1273\n",
            "accuracy 0.9801\n",
            "precision 0.9904\n",
            "recall 0.9594\n",
            "tnr 0.9938\n",
            "tpr 0.9594\n",
            "f1 0.9747\n",
            "acc/pre/rec:  98.01%/99.04%/95.94%\n",
            "time: 0.9028\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30246 fp 264 tn 46877 fn 1323\n",
            "accuracy 0.9798\n",
            "precision 0.9913\n",
            "recall 0.9581\n",
            "tnr 0.9944\n",
            "tpr 0.9581\n",
            "f1 0.9744\n",
            "acc/pre/rec:  97.98%/99.13%/95.81%\n",
            "time: 0.9026\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30403 fp 271 tn 46805 fn 1231\n",
            "accuracy 0.9809\n",
            "precision 0.9912\n",
            "recall 0.9611\n",
            "tnr 0.9942\n",
            "tpr 0.9611\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.09%/99.12%/96.11%\n",
            "time: 0.9067\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30011 fp 288 tn 47207 fn 1204\n",
            "accuracy 0.9810\n",
            "precision 0.9905\n",
            "recall 0.9614\n",
            "tnr 0.9939\n",
            "tpr 0.9614\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/99.05%/96.14%\n",
            "time: 0.8942\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30000 fp 301 tn 47188 fn 1221\n",
            "accuracy 0.9807\n",
            "precision 0.9901\n",
            "recall 0.9609\n",
            "tnr 0.9937\n",
            "tpr 0.9609\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.07%/99.01%/96.09%\n",
            "time: 0.9074\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30233 fp 285 tn 46935 fn 1257\n",
            "accuracy 0.9804\n",
            "precision 0.9907\n",
            "recall 0.9601\n",
            "tnr 0.9940\n",
            "tpr 0.9601\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.04%/99.07%/96.01%\n",
            "time: 0.8971\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30069 fp 253 tn 47096 fn 1292\n",
            "accuracy 0.9804\n",
            "precision 0.9917\n",
            "recall 0.9588\n",
            "tnr 0.9947\n",
            "tpr 0.9588\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.04%/99.17%/95.88%\n",
            "time: 0.9080\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30293 fp 267 tn 46877 fn 1273\n",
            "accuracy 0.9804\n",
            "precision 0.9913\n",
            "recall 0.9597\n",
            "tnr 0.9943\n",
            "tpr 0.9597\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.04%/99.13%/95.97%\n",
            "time: 0.8983\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30158 fp 285 tn 46981 fn 1286\n",
            "accuracy 0.9800\n",
            "precision 0.9906\n",
            "recall 0.9591\n",
            "tnr 0.9940\n",
            "tpr 0.9591\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.00%/99.06%/95.91%\n",
            "time: 0.9054\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30296 fp 288 tn 46867 fn 1259\n",
            "accuracy 0.9803\n",
            "precision 0.9906\n",
            "recall 0.9601\n",
            "tnr 0.9939\n",
            "tpr 0.9601\n",
            "f1 0.9751\n",
            "acc/pre/rec:  98.03%/99.06%/96.01%\n",
            "time: 0.8996\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30200 fp 244 tn 47033 fn 1233\n",
            "accuracy 0.9812\n",
            "precision 0.9920\n",
            "recall 0.9608\n",
            "tnr 0.9948\n",
            "tpr 0.9608\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.12%/99.20%/96.08%\n",
            "time: 0.9152\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30021 fp 301 tn 47199 fn 1189\n",
            "accuracy 0.9811\n",
            "precision 0.9901\n",
            "recall 0.9619\n",
            "tnr 0.9937\n",
            "tpr 0.9619\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.11%/99.01%/96.19%\n",
            "time: 0.9041\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29912 fp 287 tn 47290 fn 1221\n",
            "accuracy 0.9808\n",
            "precision 0.9905\n",
            "recall 0.9608\n",
            "tnr 0.9940\n",
            "tpr 0.9608\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.08%/99.05%/96.08%\n",
            "time: 0.9119\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30181 fp 292 tn 47020 fn 1217\n",
            "accuracy 0.9808\n",
            "precision 0.9904\n",
            "recall 0.9612\n",
            "tnr 0.9938\n",
            "tpr 0.9612\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.08%/99.04%/96.12%\n",
            "time: 0.9103\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29996 fp 275 tn 47197 fn 1242\n",
            "accuracy 0.9807\n",
            "precision 0.9909\n",
            "recall 0.9602\n",
            "tnr 0.9942\n",
            "tpr 0.9602\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.07%/99.09%/96.02%\n",
            "time: 0.8994\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30043 fp 271 tn 47139 fn 1257\n",
            "accuracy 0.9806\n",
            "precision 0.9911\n",
            "recall 0.9598\n",
            "tnr 0.9943\n",
            "tpr 0.9598\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.06%/99.11%/95.98%\n",
            "time: 0.9042\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30155 fp 270 tn 47026 fn 1259\n",
            "accuracy 0.9806\n",
            "precision 0.9911\n",
            "recall 0.9599\n",
            "tnr 0.9943\n",
            "tpr 0.9599\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.06%/99.11%/95.99%\n",
            "time: 0.9077\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30238 fp 272 tn 46920 fn 1280\n",
            "accuracy 0.9803\n",
            "precision 0.9911\n",
            "recall 0.9594\n",
            "tnr 0.9942\n",
            "tpr 0.9594\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.03%/99.11%/95.94%\n",
            "time: 0.9007\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30262 fp 269 tn 46927 fn 1252\n",
            "accuracy 0.9807\n",
            "precision 0.9912\n",
            "recall 0.9603\n",
            "tnr 0.9943\n",
            "tpr 0.9603\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.07%/99.12%/96.03%\n",
            "time: 0.9040\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30428 fp 254 tn 46764 fn 1264\n",
            "accuracy 0.9807\n",
            "precision 0.9917\n",
            "recall 0.9601\n",
            "tnr 0.9946\n",
            "tpr 0.9601\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.07%/99.17%/96.01%\n",
            "time: 0.9000\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30405 fp 280 tn 46744 fn 1281\n",
            "accuracy 0.9802\n",
            "precision 0.9909\n",
            "recall 0.9596\n",
            "tnr 0.9940\n",
            "tpr 0.9596\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.02%/99.09%/95.96%\n",
            "time: 0.9116\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30173 fp 287 tn 46985 fn 1265\n",
            "accuracy 0.9803\n",
            "precision 0.9906\n",
            "recall 0.9598\n",
            "tnr 0.9939\n",
            "tpr 0.9598\n",
            "f1 0.9749\n",
            "acc/pre/rec:  98.03%/99.06%/95.98%\n",
            "time: 0.9219\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30154 fp 266 tn 47000 fn 1290\n",
            "accuracy 0.9802\n",
            "precision 0.9913\n",
            "recall 0.9590\n",
            "tnr 0.9944\n",
            "tpr 0.9590\n",
            "f1 0.9748\n",
            "acc/pre/rec:  98.02%/99.13%/95.90%\n",
            "time: 0.8938\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30177 fp 269 tn 47110 fn 1154\n",
            "accuracy 0.9819\n",
            "precision 0.9912\n",
            "recall 0.9632\n",
            "tnr 0.9943\n",
            "tpr 0.9632\n",
            "f1 0.9770\n",
            "acc/pre/rec:  98.19%/99.12%/96.32%\n",
            "time: 0.8973\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30083 fp 273 tn 47056 fn 1298\n",
            "accuracy 0.9800\n",
            "precision 0.9910\n",
            "recall 0.9586\n",
            "tnr 0.9942\n",
            "tpr 0.9586\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.00%/99.10%/95.86%\n",
            "time: 0.9019\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30025 fp 285 tn 47209 fn 1191\n",
            "accuracy 0.9812\n",
            "precision 0.9906\n",
            "recall 0.9618\n",
            "tnr 0.9940\n",
            "tpr 0.9618\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.12%/99.06%/96.18%\n",
            "time: 0.9008\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30073 fp 269 tn 47167 fn 1201\n",
            "accuracy 0.9813\n",
            "precision 0.9911\n",
            "recall 0.9616\n",
            "tnr 0.9943\n",
            "tpr 0.9616\n",
            "f1 0.9761\n",
            "acc/pre/rec:  98.13%/99.11%/96.16%\n",
            "time: 0.8835\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30114 fp 311 tn 46984 fn 1301\n",
            "accuracy 0.9795\n",
            "precision 0.9898\n",
            "recall 0.9586\n",
            "tnr 0.9934\n",
            "tpr 0.9586\n",
            "f1 0.9739\n",
            "acc/pre/rec:  97.95%/98.98%/95.86%\n",
            "time: 0.9023\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30208 fp 260 tn 46977 fn 1265\n",
            "accuracy 0.9806\n",
            "precision 0.9915\n",
            "recall 0.9598\n",
            "tnr 0.9945\n",
            "tpr 0.9598\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.06%/99.15%/95.98%\n",
            "time: 0.9051\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30264 fp 282 tn 46856 fn 1308\n",
            "accuracy 0.9798\n",
            "precision 0.9908\n",
            "recall 0.9586\n",
            "tnr 0.9940\n",
            "tpr 0.9586\n",
            "f1 0.9744\n",
            "acc/pre/rec:  97.98%/99.08%/95.86%\n",
            "time: 0.9017\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29914 fp 277 tn 47248 fn 1271\n",
            "accuracy 0.9803\n",
            "precision 0.9908\n",
            "recall 0.9592\n",
            "tnr 0.9942\n",
            "tpr 0.9592\n",
            "f1 0.9748\n",
            "acc/pre/rec:  98.03%/99.08%/95.92%\n",
            "time: 0.9041\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30200 fp 271 tn 47012 fn 1227\n",
            "accuracy 0.9810\n",
            "precision 0.9911\n",
            "recall 0.9610\n",
            "tnr 0.9943\n",
            "tpr 0.9610\n",
            "f1 0.9758\n",
            "acc/pre/rec:  98.10%/99.11%/96.10%\n",
            "time: 0.9015\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29885 fp 293 tn 47260 fn 1272\n",
            "accuracy 0.9801\n",
            "precision 0.9903\n",
            "recall 0.9592\n",
            "tnr 0.9938\n",
            "tpr 0.9592\n",
            "f1 0.9745\n",
            "acc/pre/rec:  98.01%/99.03%/95.92%\n",
            "time: 0.9019\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30074 fp 302 tn 47046 fn 1288\n",
            "accuracy 0.9798\n",
            "precision 0.9901\n",
            "recall 0.9589\n",
            "tnr 0.9936\n",
            "tpr 0.9589\n",
            "f1 0.9742\n",
            "acc/pre/rec:  97.98%/99.01%/95.89%\n",
            "time: 0.9017\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30162 fp 257 tn 47033 fn 1258\n",
            "accuracy 0.9808\n",
            "precision 0.9916\n",
            "recall 0.9600\n",
            "tnr 0.9946\n",
            "tpr 0.9600\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/99.16%/96.00%\n",
            "time: 0.8906\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30001 fp 260 tn 47201 fn 1248\n",
            "accuracy 0.9808\n",
            "precision 0.9914\n",
            "recall 0.9601\n",
            "tnr 0.9945\n",
            "tpr 0.9601\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.08%/99.14%/96.01%\n",
            "time: 0.8949\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30387 fp 291 tn 46824 fn 1208\n",
            "accuracy 0.9810\n",
            "precision 0.9905\n",
            "recall 0.9618\n",
            "tnr 0.9938\n",
            "tpr 0.9618\n",
            "f1 0.9759\n",
            "acc/pre/rec:  98.10%/99.05%/96.18%\n",
            "time: 0.8968\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30354 fp 267 tn 46881 fn 1208\n",
            "accuracy 0.9813\n",
            "precision 0.9913\n",
            "recall 0.9617\n",
            "tnr 0.9943\n",
            "tpr 0.9617\n",
            "f1 0.9763\n",
            "acc/pre/rec:  98.13%/99.13%/96.17%\n",
            "time: 0.9199\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30098 fp 289 tn 47111 fn 1212\n",
            "accuracy 0.9809\n",
            "precision 0.9905\n",
            "recall 0.9613\n",
            "tnr 0.9939\n",
            "tpr 0.9613\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.09%/99.05%/96.13%\n",
            "time: 0.9127\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30036 fp 288 tn 47067 fn 1319\n",
            "accuracy 0.9796\n",
            "precision 0.9905\n",
            "recall 0.9579\n",
            "tnr 0.9939\n",
            "tpr 0.9579\n",
            "f1 0.9739\n",
            "acc/pre/rec:  97.96%/99.05%/95.79%\n",
            "time: 0.8987\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29959 fp 283 tn 47190 fn 1278\n",
            "accuracy 0.9802\n",
            "precision 0.9906\n",
            "recall 0.9591\n",
            "tnr 0.9940\n",
            "tpr 0.9591\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.02%/99.06%/95.91%\n",
            "time: 0.8890\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30161 fp 284 tn 47020 fn 1245\n",
            "accuracy 0.9806\n",
            "precision 0.9907\n",
            "recall 0.9604\n",
            "tnr 0.9940\n",
            "tpr 0.9604\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.06%/99.07%/96.04%\n",
            "time: 0.9027\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30317 fp 264 tn 46883 fn 1246\n",
            "accuracy 0.9808\n",
            "precision 0.9914\n",
            "recall 0.9605\n",
            "tnr 0.9944\n",
            "tpr 0.9605\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.08%/99.14%/96.05%\n",
            "time: 0.9016\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30105 fp 300 tn 47102 fn 1203\n",
            "accuracy 0.9809\n",
            "precision 0.9901\n",
            "recall 0.9616\n",
            "tnr 0.9937\n",
            "tpr 0.9616\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.09%/99.01%/96.16%\n",
            "time: 0.8964\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30145 fp 302 tn 47007 fn 1256\n",
            "accuracy 0.9802\n",
            "precision 0.9901\n",
            "recall 0.9600\n",
            "tnr 0.9936\n",
            "tpr 0.9600\n",
            "f1 0.9748\n",
            "acc/pre/rec:  98.02%/99.01%/96.00%\n",
            "time: 0.9041\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30179 fp 300 tn 47005 fn 1226\n",
            "accuracy 0.9806\n",
            "precision 0.9902\n",
            "recall 0.9610\n",
            "tnr 0.9937\n",
            "tpr 0.9610\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.06%/99.02%/96.10%\n",
            "time: 0.9077\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30219 fp 272 tn 46983 fn 1236\n",
            "accuracy 0.9808\n",
            "precision 0.9911\n",
            "recall 0.9607\n",
            "tnr 0.9942\n",
            "tpr 0.9607\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.08%/99.11%/96.07%\n",
            "time: 0.8955\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30056 fp 274 tn 47138 fn 1242\n",
            "accuracy 0.9807\n",
            "precision 0.9910\n",
            "recall 0.9603\n",
            "tnr 0.9942\n",
            "tpr 0.9603\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/99.10%/96.03%\n",
            "time: 0.8982\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30114 fp 272 tn 47079 fn 1245\n",
            "accuracy 0.9807\n",
            "precision 0.9910\n",
            "recall 0.9603\n",
            "tnr 0.9943\n",
            "tpr 0.9603\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/99.10%/96.03%\n",
            "time: 0.9084\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30188 fp 256 tn 47016 fn 1250\n",
            "accuracy 0.9809\n",
            "precision 0.9916\n",
            "recall 0.9602\n",
            "tnr 0.9946\n",
            "tpr 0.9602\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.09%/99.16%/96.02%\n",
            "time: 0.8860\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30310 fp 291 tn 46839 fn 1270\n",
            "accuracy 0.9802\n",
            "precision 0.9905\n",
            "recall 0.9598\n",
            "tnr 0.9938\n",
            "tpr 0.9598\n",
            "f1 0.9749\n",
            "acc/pre/rec:  98.02%/99.05%/95.98%\n",
            "time: 0.9019\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30068 fp 271 tn 47091 fn 1280\n",
            "accuracy 0.9803\n",
            "precision 0.9911\n",
            "recall 0.9592\n",
            "tnr 0.9943\n",
            "tpr 0.9592\n",
            "f1 0.9749\n",
            "acc/pre/rec:  98.03%/99.11%/95.92%\n",
            "time: 0.8955\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29905 fp 301 tn 47213 fn 1291\n",
            "accuracy 0.9798\n",
            "precision 0.9900\n",
            "recall 0.9586\n",
            "tnr 0.9937\n",
            "tpr 0.9586\n",
            "f1 0.9741\n",
            "acc/pre/rec:  97.98%/99.00%/95.86%\n",
            "time: 0.8985\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29916 fp 278 tn 47272 fn 1244\n",
            "accuracy 0.9807\n",
            "precision 0.9908\n",
            "recall 0.9601\n",
            "tnr 0.9942\n",
            "tpr 0.9601\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.07%/99.08%/96.01%\n",
            "time: 0.9081\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30203 fp 256 tn 46985 fn 1266\n",
            "accuracy 0.9807\n",
            "precision 0.9916\n",
            "recall 0.9598\n",
            "tnr 0.9946\n",
            "tpr 0.9598\n",
            "f1 0.9754\n",
            "acc/pre/rec:  98.07%/99.16%/95.98%\n",
            "time: 0.9082\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30165 fp 241 tn 47038 fn 1266\n",
            "accuracy 0.9809\n",
            "precision 0.9921\n",
            "recall 0.9597\n",
            "tnr 0.9949\n",
            "tpr 0.9597\n",
            "f1 0.9756\n",
            "acc/pre/rec:  98.09%/99.21%/95.97%\n",
            "time: 0.8991\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30325 fp 286 tn 46908 fn 1191\n",
            "accuracy 0.9812\n",
            "precision 0.9907\n",
            "recall 0.9622\n",
            "tnr 0.9939\n",
            "tpr 0.9622\n",
            "f1 0.9762\n",
            "acc/pre/rec:  98.12%/99.07%/96.22%\n",
            "time: 0.9051\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29897 fp 266 tn 47309 fn 1238\n",
            "accuracy 0.9809\n",
            "precision 0.9912\n",
            "recall 0.9602\n",
            "tnr 0.9944\n",
            "tpr 0.9602\n",
            "f1 0.9755\n",
            "acc/pre/rec:  98.09%/99.12%/96.02%\n",
            "time: 0.8979\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30177 fp 243 tn 47048 fn 1242\n",
            "accuracy 0.9811\n",
            "precision 0.9920\n",
            "recall 0.9605\n",
            "tnr 0.9949\n",
            "tpr 0.9605\n",
            "f1 0.9760\n",
            "acc/pre/rec:  98.11%/99.20%/96.05%\n",
            "time: 0.9037\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29968 fp 265 tn 47221 fn 1256\n",
            "accuracy 0.9807\n",
            "precision 0.9912\n",
            "recall 0.9598\n",
            "tnr 0.9944\n",
            "tpr 0.9598\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.07%/99.12%/95.98%\n",
            "time: 0.9016\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30101 fp 285 tn 47078 fn 1246\n",
            "accuracy 0.9805\n",
            "precision 0.9906\n",
            "recall 0.9603\n",
            "tnr 0.9940\n",
            "tpr 0.9603\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.05%/99.06%/96.03%\n",
            "time: 0.9025\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30041 fp 277 tn 47102 fn 1290\n",
            "accuracy 0.9801\n",
            "precision 0.9909\n",
            "recall 0.9588\n",
            "tnr 0.9942\n",
            "tpr 0.9588\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.01%/99.09%/95.88%\n",
            "time: 0.9057\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29968 fp 280 tn 47249 fn 1213\n",
            "accuracy 0.9810\n",
            "precision 0.9907\n",
            "recall 0.9611\n",
            "tnr 0.9941\n",
            "tpr 0.9611\n",
            "f1 0.9757\n",
            "acc/pre/rec:  98.10%/99.07%/96.11%\n",
            "time: 0.8959\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 29962 fp 244 tn 47233 fn 1271\n",
            "accuracy 0.9808\n",
            "precision 0.9919\n",
            "recall 0.9593\n",
            "tnr 0.9949\n",
            "tpr 0.9593\n",
            "f1 0.9753\n",
            "acc/pre/rec:  98.08%/99.19%/95.93%\n",
            "time: 0.8983\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30126 fp 280 tn 47007 fn 1297\n",
            "accuracy 0.9800\n",
            "precision 0.9908\n",
            "recall 0.9587\n",
            "tnr 0.9941\n",
            "tpr 0.9587\n",
            "f1 0.9745\n",
            "acc/pre/rec:  98.00%/99.08%/95.87%\n",
            "time: 0.8984\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30204 fp 299 tn 46970 fn 1237\n",
            "accuracy 0.9805\n",
            "precision 0.9902\n",
            "recall 0.9607\n",
            "tnr 0.9937\n",
            "tpr 0.9607\n",
            "f1 0.9752\n",
            "acc/pre/rec:  98.05%/99.02%/96.07%\n",
            "time: 0.8829\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30024 fp 272 tn 47145 fn 1269\n",
            "accuracy 0.9804\n",
            "precision 0.9910\n",
            "recall 0.9594\n",
            "tnr 0.9943\n",
            "tpr 0.9594\n",
            "f1 0.9750\n",
            "acc/pre/rec:  98.04%/99.10%/95.94%\n",
            "time: 0.8998\n",
            "# of train edge: 629685    # of test edge: 78710  # of val edge: 78710\n",
            "\n",
            "************model performance on 78710 test edges************\n",
            "tp 30183 fp 301 tn 46954 fn 1272\n",
            "accuracy 0.9800\n",
            "precision 0.9901\n",
            "recall 0.9596\n",
            "tnr 0.9936\n",
            "tpr 0.9596\n",
            "f1 0.9746\n",
            "acc/pre/rec:  98.00%/99.01%/95.96%\n",
            "time: 0.9074\n",
            "Inference time: avg time 0.9023 stdev 0.0089\n",
            "\n",
            "done...\n"
          ]
        }
      ]
    }
  ]
}