View_GCN_1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "View-GCN.ipynb",
      "provenance": [],
      "toc_visible": true,
      "mount_file_id": "1PR4mIV2F5jHV2cVpIVxbIgYByMSkVTrU",
      "authorship_tag": "ABX9TyNMqOySZmCyhHhUHO7P6skk",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/DIPTE/Deep-Geometry-Learning-on-Colab/blob/master/View_GCN_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uGu4NcFITr9j",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "3bc458b1-c587-47a5-b2b3-d75ea63e454a"
      },
      "source": [
        "from google.colab import drive#colab 连接到托管代码执行程序\n",
        "drive.mount('/content/drive')#挂载云端硬盘"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "afLjzBfsUFhR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b5bfbe21-13b2-4b33-e852-5cafb47eb766"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "data  __init__.py  model  README.md  tools  train.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yj07HA0hULeX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "os.chdir('/content/drive/My Drive/Untitled Folder/View-GCN/view-GCN')#切换工作目录"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "51iZQNacUqkj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!git clone https://github.com/weixmath/view-GCN.git"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6S-j5LRXWHRS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "9c968f49-8222-4209-9044-88d8402a7a56"
      },
      "source": [
        "!cd ./view-GCN/data  && unzip modelnet40v2png_ori4.zip"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43m流式输出内容被截断，只能显示最后 5000 行内容。\u001b[0m\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5cLWI-XYi5oK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 188
        },
        "outputId": "f6f1077b-5f3a-49ac-e1fc-eb3cc6c74ea3"
      },
      "source": [
        "!pip install tensorboardX"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorboardX\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/35/f1/5843425495765c8c2dd0784a851a93ef204d314fc87bcc2bbb9f662a3ad1/tensorboardX-2.0-py2.py3-none-any.whl (195kB)\n",
            "\r\u001b[K     |█▊                              | 10kB 13.6MB/s eta 0:00:01\r\u001b[K     |███▍                            | 20kB 1.8MB/s eta 0:00:01\r\u001b[K     |█████                           | 30kB 2.3MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 40kB 2.6MB/s eta 0:00:01\r\u001b[K     |████████▍                       | 51kB 2.0MB/s eta 0:00:01\r\u001b[K     |██████████                      | 61kB 2.3MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 71kB 2.5MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 81kB 2.7MB/s eta 0:00:01\r\u001b[K     |███████████████                 | 92kB 2.9MB/s eta 0:00:01\r\u001b[K     |████████████████▊               | 102kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 112kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████            | 122kB 2.8MB/s eta 0:00:01\r\u001b[K     |█████████████████████▊          | 133kB 2.8MB/s eta 0:00:01\r\u001b[K     |███████████████████████▌        | 143kB 2.8MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 153kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▉     | 163kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▌   | 174kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▏ | 184kB 2.8MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 194kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 204kB 2.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf>=3.8.0 in /usr/local/lib/python3.6/dist-packages (from tensorboardX) (3.10.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from tensorboardX) (1.12.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from tensorboardX) (1.18.5)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.8.0->tensorboardX) (47.3.1)\n",
            "Installing collected packages: tensorboardX\n",
            "Successfully installed tensorboardX-2.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QlJaaIp6iXwc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "f89bc150-0154-4ef3-875d-6ec3593b646c"
      },
      "source": [
        "!python train.py -name view-gcn -num_models 0 -weight_decay 0.001 -num_views 20 -cnn_name resnet18"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43m流式输出内容被截断，只能显示最后 5000 行内容。\u001b[0m\n",
            "epoch 20, step 55: train_loss 0.012; train_acc 0.998\n",
            "epoch 20, step 56: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 57: train_loss 0.011; train_acc 1.000\n",
            "epoch 20, step 58: train_loss 0.013; train_acc 0.998\n",
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            "epoch 20, step 60: train_loss 0.021; train_acc 0.995\n",
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            "epoch 20, step 62: train_loss 0.014; train_acc 1.000\n",
            "epoch 20, step 63: train_loss 0.017; train_acc 0.995\n",
            "epoch 20, step 64: train_loss 0.019; train_acc 0.993\n",
            "epoch 20, step 65: train_loss 0.015; train_acc 1.000\n",
            "epoch 20, step 66: train_loss 0.020; train_acc 0.998\n",
            "epoch 20, step 67: train_loss 0.010; train_acc 1.000\n",
            "epoch 20, step 68: train_loss 0.021; train_acc 0.995\n",
            "epoch 20, step 69: train_loss 0.022; train_acc 0.998\n",
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            "epoch 20, step 92: train_loss 0.013; train_acc 1.000\n",
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            "epoch 20, step 95: train_loss 0.015; train_acc 0.995\n",
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            "epoch 20, step 97: train_loss 0.019; train_acc 0.995\n",
            "epoch 20, step 98: train_loss 0.025; train_acc 0.993\n",
            "epoch 20, step 99: train_loss 0.013; train_acc 1.000\n",
            "epoch 20, step 100: train_loss 0.014; train_acc 0.998\n",
            "epoch 20, step 101: train_loss 0.017; train_acc 0.998\n",
            "epoch 20, step 102: train_loss 0.031; train_acc 0.993\n",
            "epoch 20, step 103: train_loss 0.013; train_acc 0.998\n",
            "epoch 20, step 104: train_loss 0.011; train_acc 0.998\n",
            "epoch 20, step 105: train_loss 0.019; train_acc 0.998\n",
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            "epoch 20, step 107: train_loss 0.034; train_acc 0.987\n",
            "epoch 20, step 108: train_loss 0.017; train_acc 0.998\n",
            "epoch 20, step 109: train_loss 0.028; train_acc 0.987\n",
            "epoch 20, step 110: train_loss 0.008; train_acc 1.000\n",
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            "epoch 20, step 412: train_loss 0.012; train_acc 0.995\n",
            "epoch 20, step 413: train_loss 0.019; train_acc 0.995\n",
            "epoch 20, step 414: train_loss 0.027; train_acc 0.993\n",
            "epoch 20, step 415: train_loss 0.012; train_acc 0.998\n",
            "epoch 20, step 416: train_loss 0.014; train_acc 0.995\n",
            "epoch 20, step 417: train_loss 0.014; train_acc 0.995\n",
            "epoch 20, step 418: train_loss 0.016; train_acc 0.995\n",
            "epoch 20, step 419: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 420: train_loss 0.007; train_acc 1.000\n",
            "epoch 20, step 421: train_loss 0.019; train_acc 0.993\n",
            "epoch 20, step 422: train_loss 0.014; train_acc 1.000\n",
            "epoch 20, step 423: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 424: train_loss 0.012; train_acc 1.000\n",
            "epoch 20, step 425: train_loss 0.010; train_acc 1.000\n",
            "epoch 20, step 426: train_loss 0.008; train_acc 1.000\n",
            "epoch 20, step 427: train_loss 0.022; train_acc 0.995\n",
            "epoch 20, step 428: train_loss 0.020; train_acc 0.993\n",
            "epoch 20, step 429: train_loss 0.012; train_acc 1.000\n",
            "epoch 20, step 430: train_loss 0.015; train_acc 0.998\n",
            "epoch 20, step 431: train_loss 0.032; train_acc 0.995\n",
            "epoch 20, step 432: train_loss 0.014; train_acc 0.995\n",
            "epoch 20, step 433: train_loss 0.014; train_acc 0.998\n",
            "epoch 20, step 434: train_loss 0.026; train_acc 0.993\n",
            "epoch 20, step 435: train_loss 0.029; train_acc 0.990\n",
            "epoch 20, step 436: train_loss 0.009; train_acc 1.000\n",
            "epoch 20, step 437: train_loss 0.021; train_acc 0.993\n",
            "epoch 20, step 438: train_loss 0.027; train_acc 0.993\n",
            "epoch 20, step 439: train_loss 0.014; train_acc 0.993\n",
            "epoch 20, step 440: train_loss 0.022; train_acc 0.993\n",
            "epoch 20, step 441: train_loss 0.019; train_acc 0.995\n",
            "epoch 20, step 442: train_loss 0.007; train_acc 1.000\n",
            "epoch 20, step 443: train_loss 0.012; train_acc 0.998\n",
            "epoch 20, step 444: train_loss 0.013; train_acc 1.000\n",
            "epoch 20, step 445: train_loss 0.012; train_acc 0.995\n",
            "epoch 20, step 446: train_loss 0.010; train_acc 1.000\n",
            "epoch 20, step 447: train_loss 0.016; train_acc 0.998\n",
            "epoch 20, step 448: train_loss 0.017; train_acc 0.998\n",
            "epoch 20, step 449: train_loss 0.021; train_acc 0.998\n",
            "epoch 20, step 450: train_loss 0.015; train_acc 0.998\n",
            "epoch 20, step 451: train_loss 0.010; train_acc 0.998\n",
            "epoch 20, step 452: train_loss 0.014; train_acc 0.998\n",
            "epoch 20, step 453: train_loss 0.020; train_acc 0.995\n",
            "epoch 20, step 454: train_loss 0.011; train_acc 0.998\n",
            "epoch 20, step 455: train_loss 0.023; train_acc 0.995\n",
            "epoch 20, step 456: train_loss 0.011; train_acc 0.998\n",
            "epoch 20, step 457: train_loss 0.013; train_acc 0.998\n",
            "epoch 20, step 458: train_loss 0.018; train_acc 0.998\n",
            "epoch 20, step 459: train_loss 0.015; train_acc 0.998\n",
            "epoch 20, step 460: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 461: train_loss 0.017; train_acc 0.998\n",
            "epoch 20, step 462: train_loss 0.011; train_acc 1.000\n",
            "epoch 20, step 463: train_loss 0.020; train_acc 0.995\n",
            "epoch 20, step 464: train_loss 0.014; train_acc 1.000\n",
            "epoch 20, step 465: train_loss 0.015; train_acc 0.998\n",
            "epoch 20, step 466: train_loss 0.008; train_acc 1.000\n",
            "epoch 20, step 467: train_loss 0.022; train_acc 0.993\n",
            "epoch 20, step 468: train_loss 0.010; train_acc 1.000\n",
            "epoch 20, step 469: train_loss 0.012; train_acc 1.000\n",
            "epoch 20, step 470: train_loss 0.017; train_acc 0.995\n",
            "epoch 20, step 471: train_loss 0.025; train_acc 0.995\n",
            "epoch 20, step 472: train_loss 0.032; train_acc 0.990\n",
            "epoch 20, step 473: train_loss 0.026; train_acc 0.993\n",
            "epoch 20, step 474: train_loss 0.021; train_acc 0.995\n",
            "epoch 20, step 475: train_loss 0.010; train_acc 0.998\n",
            "epoch 20, step 476: train_loss 0.010; train_acc 0.998\n",
            "epoch 20, step 477: train_loss 0.030; train_acc 0.990\n",
            "epoch 20, step 478: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 479: train_loss 0.011; train_acc 1.000\n",
            "epoch 20, step 480: train_loss 0.021; train_acc 0.993\n",
            "epoch 20, step 481: train_loss 0.016; train_acc 0.993\n",
            "epoch 20, step 482: train_loss 0.016; train_acc 0.998\n",
            "epoch 20, step 483: train_loss 0.022; train_acc 0.990\n",
            "epoch 20, step 484: train_loss 0.023; train_acc 0.993\n",
            "epoch 20, step 485: train_loss 0.016; train_acc 0.995\n",
            "epoch 20, step 486: train_loss 0.017; train_acc 0.998\n",
            "epoch 20, step 487: train_loss 0.016; train_acc 0.998\n",
            "epoch 20, step 488: train_loss 0.020; train_acc 0.998\n",
            "epoch 20, step 489: train_loss 0.007; train_acc 1.000\n",
            "epoch 20, step 490: train_loss 0.032; train_acc 0.990\n",
            "epoch 20, step 491: train_loss 0.018; train_acc 0.995\n",
            "epoch 20, step 492: train_loss 0.008; train_acc 1.000\n",
            "epoch 20, step 493: train_loss 0.014; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8983479651162792\n",
            "val overall acc. :  0.92771477\n",
            "val loss :  0.2798145192181466\n",
            "[0.9995     0.857      0.978      0.795      0.905      0.9745\n",
            " 0.8825     0.9875     0.9835     0.9825     0.715      0.9225\n",
            " 0.91337209 0.9225     0.96802326 0.8175     0.918      0.9875\n",
            " 0.965      0.785      0.9775     0.952      0.9625     0.84302326\n",
            " 0.945      0.908      0.9805     0.78       0.8955     0.7975\n",
            " 0.972      0.7925     0.8725     0.965      0.88       0.985\n",
            " 0.8395     0.874      0.6825     0.77      ]\n",
            "best_acc 0.92771477\n",
            "epoch 21, step 1: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 2: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 3: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 4: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 5: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 6: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 7: train_loss 0.006; train_acc 1.000\n",
            "epoch 21, step 8: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 9: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 10: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 11: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 12: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 13: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 14: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 15: train_loss 0.014; train_acc 1.000\n",
            "epoch 21, step 16: train_loss 0.022; train_acc 0.995\n",
            "epoch 21, step 17: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 18: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 19: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 20: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 21: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 22: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 23: train_loss 0.014; train_acc 1.000\n",
            "epoch 21, step 24: train_loss 0.014; train_acc 1.000\n",
            "epoch 21, step 25: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 26: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 27: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 28: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 29: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 30: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 31: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 32: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 33: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 34: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 35: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 36: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 37: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 38: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 39: train_loss 0.033; train_acc 0.990\n",
            "epoch 21, step 40: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 41: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 42: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 43: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 44: train_loss 0.016; train_acc 0.993\n",
            "epoch 21, step 45: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 46: train_loss 0.006; train_acc 1.000\n",
            "epoch 21, step 47: train_loss 0.023; train_acc 0.998\n",
            "epoch 21, step 48: train_loss 0.021; train_acc 0.993\n",
            "epoch 21, step 49: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 50: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 51: train_loss 0.012; train_acc 0.995\n",
            "epoch 21, step 52: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 53: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 54: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 55: train_loss 0.011; train_acc 0.995\n",
            "epoch 21, step 56: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 57: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 58: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 59: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 60: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 61: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 62: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 63: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 64: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 65: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 66: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 67: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 68: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 69: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 70: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 71: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 72: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 73: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 74: train_loss 0.011; train_acc 0.995\n",
            "epoch 21, step 75: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 76: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 77: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 78: train_loss 0.018; train_acc 0.993\n",
            "epoch 21, step 79: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 80: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 81: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 82: train_loss 0.022; train_acc 0.993\n",
            "epoch 21, step 83: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 84: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 85: train_loss 0.015; train_acc 1.000\n",
            "epoch 21, step 86: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 87: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 88: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 89: train_loss 0.021; train_acc 0.993\n",
            "epoch 21, step 90: train_loss 0.021; train_acc 0.993\n",
            "epoch 21, step 91: train_loss 0.015; train_acc 0.993\n",
            "epoch 21, step 92: train_loss 0.030; train_acc 0.990\n",
            "epoch 21, step 93: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 94: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 95: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 96: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 97: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 98: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 99: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 100: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 101: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 102: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 103: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 104: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 105: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 106: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 107: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 108: train_loss 0.027; train_acc 0.990\n",
            "epoch 21, step 109: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 110: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 111: train_loss 0.029; train_acc 0.990\n",
            "epoch 21, step 112: train_loss 0.006; train_acc 1.000\n",
            "epoch 21, step 113: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 114: train_loss 0.029; train_acc 0.993\n",
            "epoch 21, step 115: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 116: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 117: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 118: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 119: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 120: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 121: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 122: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 123: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 124: train_loss 0.011; train_acc 0.995\n",
            "epoch 21, step 125: train_loss 0.023; train_acc 0.995\n",
            "epoch 21, step 126: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 127: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 128: train_loss 0.022; train_acc 0.993\n",
            "epoch 21, step 129: train_loss 0.022; train_acc 0.998\n",
            "epoch 21, step 130: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 131: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 132: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 133: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 134: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 135: train_loss 0.017; train_acc 0.990\n",
            "epoch 21, step 136: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 137: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 138: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 139: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 140: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 141: train_loss 0.014; train_acc 0.993\n",
            "epoch 21, step 142: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 143: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 144: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 145: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 146: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 147: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 148: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 149: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 150: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 151: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 152: train_loss 0.012; train_acc 0.995\n",
            "epoch 21, step 153: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 154: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 155: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 156: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 157: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 158: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 159: train_loss 0.020; train_acc 0.995\n",
            "epoch 21, step 160: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 161: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 162: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 163: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 164: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 165: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 166: train_loss 0.027; train_acc 0.998\n",
            "epoch 21, step 167: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 168: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 169: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 170: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 171: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 172: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 173: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 174: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 175: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 176: train_loss 0.027; train_acc 0.993\n",
            "epoch 21, step 177: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 178: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 179: train_loss 0.022; train_acc 0.995\n",
            "epoch 21, step 180: train_loss 0.027; train_acc 0.993\n",
            "epoch 21, step 181: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 182: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 183: train_loss 0.020; train_acc 0.993\n",
            "epoch 21, step 184: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 185: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 186: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 187: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 188: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 189: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 190: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 191: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 192: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 193: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 194: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 195: train_loss 0.028; train_acc 0.995\n",
            "epoch 21, step 196: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 197: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 198: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 199: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 200: train_loss 0.020; train_acc 0.995\n",
            "epoch 21, step 201: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 202: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 203: train_loss 0.020; train_acc 0.995\n",
            "epoch 21, step 204: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 205: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 206: train_loss 0.021; train_acc 0.998\n",
            "epoch 21, step 207: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 208: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 209: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 210: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 211: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 212: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 213: train_loss 0.016; train_acc 0.993\n",
            "epoch 21, step 214: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 215: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 216: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 217: train_loss 0.032; train_acc 0.993\n",
            "epoch 21, step 218: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 219: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 220: train_loss 0.025; train_acc 0.993\n",
            "epoch 21, step 221: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 222: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 223: train_loss 0.020; train_acc 0.993\n",
            "epoch 21, step 224: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 225: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 226: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 227: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 228: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 229: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 230: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 231: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 232: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 233: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 234: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 235: train_loss 0.012; train_acc 0.995\n",
            "epoch 21, step 236: train_loss 0.024; train_acc 0.995\n",
            "epoch 21, step 237: train_loss 0.030; train_acc 0.990\n",
            "epoch 21, step 238: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 239: train_loss 0.015; train_acc 1.000\n",
            "epoch 21, step 240: train_loss 0.021; train_acc 0.995\n",
            "epoch 21, step 241: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 242: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 243: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 244: train_loss 0.015; train_acc 1.000\n",
            "epoch 21, step 245: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 246: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 247: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 248: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 249: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 250: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 251: train_loss 0.012; train_acc 0.995\n",
            "epoch 21, step 252: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 253: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 254: train_loss 0.021; train_acc 0.995\n",
            "epoch 21, step 255: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 256: train_loss 0.019; train_acc 0.998\n",
            "epoch 21, step 257: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 258: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 259: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 260: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 261: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 262: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 263: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 264: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 265: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 266: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 267: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 268: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 269: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 270: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 271: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 272: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 273: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 274: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 275: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 276: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 277: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 278: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 279: train_loss 0.022; train_acc 0.993\n",
            "epoch 21, step 280: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 281: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 282: train_loss 0.012; train_acc 0.995\n",
            "epoch 21, step 283: train_loss 0.020; train_acc 0.993\n",
            "epoch 21, step 284: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 285: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 286: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 287: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 288: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 289: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 290: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 291: train_loss 0.021; train_acc 0.995\n",
            "epoch 21, step 292: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 293: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 294: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 295: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 296: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 297: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 298: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 299: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 300: train_loss 0.016; train_acc 1.000\n",
            "epoch 21, step 301: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 302: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 303: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 304: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 305: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 306: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 307: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 308: train_loss 0.026; train_acc 0.993\n",
            "epoch 21, step 309: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 310: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 311: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 312: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 313: train_loss 0.033; train_acc 0.987\n",
            "epoch 21, step 314: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 315: train_loss 0.019; train_acc 0.998\n",
            "epoch 21, step 316: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 317: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 318: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 319: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 320: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 321: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 322: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 323: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 324: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 325: train_loss 0.032; train_acc 0.987\n",
            "epoch 21, step 326: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 327: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 328: train_loss 0.024; train_acc 0.993\n",
            "epoch 21, step 329: train_loss 0.022; train_acc 0.995\n",
            "epoch 21, step 330: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 331: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 332: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 333: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 334: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 335: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 336: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 337: train_loss 0.017; train_acc 0.993\n",
            "epoch 21, step 338: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 339: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 340: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 341: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 342: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 343: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 344: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 345: train_loss 0.020; train_acc 0.993\n",
            "epoch 21, step 346: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 347: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 348: train_loss 0.023; train_acc 0.995\n",
            "epoch 21, step 349: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 350: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 351: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 352: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 353: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 354: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 355: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 356: train_loss 0.035; train_acc 0.990\n",
            "epoch 21, step 357: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 358: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 359: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 360: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 361: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 362: train_loss 0.014; train_acc 1.000\n",
            "epoch 21, step 363: train_loss 0.025; train_acc 0.995\n",
            "epoch 21, step 364: train_loss 0.021; train_acc 0.993\n",
            "epoch 21, step 365: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 366: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 367: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 368: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 369: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 370: train_loss 0.019; train_acc 0.995\n",
            "epoch 21, step 371: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 372: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 373: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 374: train_loss 0.023; train_acc 0.998\n",
            "epoch 21, step 375: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 376: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 377: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 378: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 379: train_loss 0.019; train_acc 0.990\n",
            "epoch 21, step 380: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 381: train_loss 0.020; train_acc 0.990\n",
            "epoch 21, step 382: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 383: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 384: train_loss 0.016; train_acc 0.998\n",
            "epoch 21, step 385: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 386: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 387: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 388: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 389: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 390: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 391: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 392: train_loss 0.033; train_acc 0.993\n",
            "epoch 21, step 393: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 394: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 395: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 396: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 397: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 398: train_loss 0.021; train_acc 0.995\n",
            "epoch 21, step 399: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 400: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 401: train_loss 0.018; train_acc 0.995\n",
            "epoch 21, step 402: train_loss 0.013; train_acc 1.000\n",
            "epoch 21, step 403: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 404: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 405: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 406: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 407: train_loss 0.017; train_acc 0.995\n",
            "epoch 21, step 408: train_loss 0.020; train_acc 0.998\n",
            "epoch 21, step 409: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 410: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 411: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 412: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 413: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 414: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 415: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 416: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 417: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 418: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 419: train_loss 0.013; train_acc 0.995\n",
            "epoch 21, step 420: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 421: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 422: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 423: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 424: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 425: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 426: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 427: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 428: train_loss 0.024; train_acc 0.995\n",
            "epoch 21, step 429: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 430: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 431: train_loss 0.014; train_acc 1.000\n",
            "epoch 21, step 432: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 433: train_loss 0.022; train_acc 0.990\n",
            "epoch 21, step 434: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 435: train_loss 0.015; train_acc 0.998\n",
            "epoch 21, step 436: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 437: train_loss 0.009; train_acc 0.998\n",
            "epoch 21, step 438: train_loss 0.033; train_acc 0.990\n",
            "epoch 21, step 439: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 440: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 441: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 442: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 443: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 444: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 445: train_loss 0.023; train_acc 0.993\n",
            "epoch 21, step 446: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 447: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 448: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 449: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 450: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 451: train_loss 0.025; train_acc 0.993\n",
            "epoch 21, step 452: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 453: train_loss 0.023; train_acc 0.995\n",
            "epoch 21, step 454: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 455: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 456: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 457: train_loss 0.022; train_acc 0.995\n",
            "epoch 21, step 458: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 459: train_loss 0.024; train_acc 0.993\n",
            "epoch 21, step 460: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 461: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 462: train_loss 0.014; train_acc 0.998\n",
            "epoch 21, step 463: train_loss 0.012; train_acc 0.998\n",
            "epoch 21, step 464: train_loss 0.023; train_acc 0.993\n",
            "epoch 21, step 465: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 466: train_loss 0.024; train_acc 0.995\n",
            "epoch 21, step 467: train_loss 0.010; train_acc 0.998\n",
            "epoch 21, step 468: train_loss 0.008; train_acc 1.000\n",
            "epoch 21, step 469: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 470: train_loss 0.011; train_acc 0.998\n",
            "epoch 21, step 471: train_loss 0.017; train_acc 0.993\n",
            "epoch 21, step 472: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 473: train_loss 0.008; train_acc 0.998\n",
            "epoch 21, step 474: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 475: train_loss 0.021; train_acc 0.995\n",
            "epoch 21, step 476: train_loss 0.007; train_acc 1.000\n",
            "epoch 21, step 477: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 478: train_loss 0.022; train_acc 0.995\n",
            "epoch 21, step 479: train_loss 0.018; train_acc 0.990\n",
            "epoch 21, step 480: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 481: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 482: train_loss 0.018; train_acc 0.998\n",
            "epoch 21, step 483: train_loss 0.010; train_acc 1.000\n",
            "epoch 21, step 484: train_loss 0.017; train_acc 0.998\n",
            "epoch 21, step 485: train_loss 0.013; train_acc 0.998\n",
            "epoch 21, step 486: train_loss 0.016; train_acc 0.995\n",
            "epoch 21, step 487: train_loss 0.009; train_acc 1.000\n",
            "epoch 21, step 488: train_loss 0.012; train_acc 1.000\n",
            "epoch 21, step 489: train_loss 0.019; train_acc 0.993\n",
            "epoch 21, step 490: train_loss 0.014; train_acc 0.995\n",
            "epoch 21, step 491: train_loss 0.011; train_acc 1.000\n",
            "epoch 21, step 492: train_loss 0.015; train_acc 0.995\n",
            "epoch 21, step 493: train_loss 0.007; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8973816860465117\n",
            "val overall acc. :  0.92692465\n",
            "val loss :  0.28428935956945944\n",
            "[0.9995     0.877      0.9725     0.8125     0.865      0.968\n",
            " 0.86       0.987      0.9815     0.97       0.7125     0.905\n",
            " 0.90930233 0.925      0.96686047 0.815      0.909      0.9845\n",
            " 0.9775     0.7825     0.98       0.951      0.9635     0.86860465\n",
            " 0.935      0.915      0.9765     0.7775     0.889      0.7925\n",
            " 0.9645     0.7875     0.8425     0.968      0.87       0.9835\n",
            " 0.857      0.8935     0.73       0.77      ]\n",
            "best_acc 0.92771477\n",
            "epoch 22, step 1: train_loss 0.011; train_acc 1.000\n",
            "epoch 22, step 2: train_loss 0.018; train_acc 0.998\n",
            "epoch 22, step 3: train_loss 0.022; train_acc 0.995\n",
            "epoch 22, step 4: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 5: train_loss 0.034; train_acc 0.993\n",
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            "epoch 22, step 305: train_loss 0.024; train_acc 0.993\n",
            "epoch 22, step 306: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 307: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 308: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 309: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 310: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 311: train_loss 0.012; train_acc 0.995\n",
            "epoch 22, step 312: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 313: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 314: train_loss 0.006; train_acc 1.000\n",
            "epoch 22, step 315: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 316: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 317: train_loss 0.011; train_acc 1.000\n",
            "epoch 22, step 318: train_loss 0.022; train_acc 0.993\n",
            "epoch 22, step 319: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 320: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 321: train_loss 0.020; train_acc 0.998\n",
            "epoch 22, step 322: train_loss 0.018; train_acc 0.995\n",
            "epoch 22, step 323: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 324: train_loss 0.018; train_acc 0.998\n",
            "epoch 22, step 325: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 326: train_loss 0.013; train_acc 0.995\n",
            "epoch 22, step 327: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 328: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 329: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 330: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 331: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 332: train_loss 0.015; train_acc 0.995\n",
            "epoch 22, step 333: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 334: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 335: train_loss 0.015; train_acc 0.995\n",
            "epoch 22, step 336: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 337: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 338: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 339: train_loss 0.010; train_acc 0.995\n",
            "epoch 22, step 340: train_loss 0.017; train_acc 0.993\n",
            "epoch 22, step 341: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 342: train_loss 0.015; train_acc 0.993\n",
            "epoch 22, step 343: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 344: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 345: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 346: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 347: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 348: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 349: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 350: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 351: train_loss 0.022; train_acc 0.995\n",
            "epoch 22, step 352: train_loss 0.021; train_acc 0.993\n",
            "epoch 22, step 353: train_loss 0.018; train_acc 0.995\n",
            "epoch 22, step 354: train_loss 0.011; train_acc 1.000\n",
            "epoch 22, step 355: train_loss 0.016; train_acc 0.995\n",
            "epoch 22, step 356: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 357: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 358: train_loss 0.013; train_acc 0.995\n",
            "epoch 22, step 359: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 360: train_loss 0.012; train_acc 1.000\n",
            "epoch 22, step 361: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 362: train_loss 0.014; train_acc 1.000\n",
            "epoch 22, step 363: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 364: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 365: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 366: train_loss 0.008; train_acc 0.998\n",
            "epoch 22, step 367: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 368: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 369: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 370: train_loss 0.029; train_acc 0.995\n",
            "epoch 22, step 371: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 372: train_loss 0.016; train_acc 0.995\n",
            "epoch 22, step 373: train_loss 0.017; train_acc 0.990\n",
            "epoch 22, step 374: train_loss 0.013; train_acc 1.000\n",
            "epoch 22, step 375: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 376: train_loss 0.013; train_acc 1.000\n",
            "epoch 22, step 377: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 378: train_loss 0.016; train_acc 0.998\n",
            "epoch 22, step 379: train_loss 0.015; train_acc 0.995\n",
            "epoch 22, step 380: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 381: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 382: train_loss 0.021; train_acc 0.995\n",
            "epoch 22, step 383: train_loss 0.018; train_acc 0.995\n",
            "epoch 22, step 384: train_loss 0.016; train_acc 0.998\n",
            "epoch 22, step 385: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 386: train_loss 0.027; train_acc 0.990\n",
            "epoch 22, step 387: train_loss 0.008; train_acc 0.998\n",
            "epoch 22, step 388: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 389: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 390: train_loss 0.013; train_acc 1.000\n",
            "epoch 22, step 391: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 392: train_loss 0.016; train_acc 0.993\n",
            "epoch 22, step 393: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 394: train_loss 0.018; train_acc 0.993\n",
            "epoch 22, step 395: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 396: train_loss 0.032; train_acc 0.990\n",
            "epoch 22, step 397: train_loss 0.018; train_acc 0.993\n",
            "epoch 22, step 398: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 399: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 400: train_loss 0.014; train_acc 1.000\n",
            "epoch 22, step 401: train_loss 0.023; train_acc 0.993\n",
            "epoch 22, step 402: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 403: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 404: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 405: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 406: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 407: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 408: train_loss 0.017; train_acc 0.993\n",
            "epoch 22, step 409: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 410: train_loss 0.021; train_acc 0.995\n",
            "epoch 22, step 411: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 412: train_loss 0.017; train_acc 0.998\n",
            "epoch 22, step 413: train_loss 0.011; train_acc 1.000\n",
            "epoch 22, step 414: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 415: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 416: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 417: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 418: train_loss 0.011; train_acc 1.000\n",
            "epoch 22, step 419: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 420: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 421: train_loss 0.012; train_acc 1.000\n",
            "epoch 22, step 422: train_loss 0.018; train_acc 0.998\n",
            "epoch 22, step 423: train_loss 0.021; train_acc 0.990\n",
            "epoch 22, step 424: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 425: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 426: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 427: train_loss 0.013; train_acc 1.000\n",
            "epoch 22, step 428: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 429: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 430: train_loss 0.024; train_acc 0.990\n",
            "epoch 22, step 431: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 432: train_loss 0.012; train_acc 1.000\n",
            "epoch 22, step 433: train_loss 0.013; train_acc 0.998\n",
            "epoch 22, step 434: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 435: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 436: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 437: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 438: train_loss 0.020; train_acc 0.998\n",
            "epoch 22, step 439: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 440: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 441: train_loss 0.019; train_acc 0.995\n",
            "epoch 22, step 442: train_loss 0.008; train_acc 1.000\n",
            "epoch 22, step 443: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 444: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 445: train_loss 0.016; train_acc 0.998\n",
            "epoch 22, step 446: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 447: train_loss 0.019; train_acc 0.995\n",
            "epoch 22, step 448: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 449: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 450: train_loss 0.022; train_acc 0.995\n",
            "epoch 22, step 451: train_loss 0.023; train_acc 0.995\n",
            "epoch 22, step 452: train_loss 0.010; train_acc 1.000\n",
            "epoch 22, step 453: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 454: train_loss 0.015; train_acc 0.998\n",
            "epoch 22, step 455: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 456: train_loss 0.013; train_acc 1.000\n",
            "epoch 22, step 457: train_loss 0.015; train_acc 0.995\n",
            "epoch 22, step 458: train_loss 0.021; train_acc 0.993\n",
            "epoch 22, step 459: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 460: train_loss 0.010; train_acc 0.998\n",
            "epoch 22, step 461: train_loss 0.013; train_acc 0.995\n",
            "epoch 22, step 462: train_loss 0.013; train_acc 0.995\n",
            "epoch 22, step 463: train_loss 0.020; train_acc 0.993\n",
            "epoch 22, step 464: train_loss 0.022; train_acc 0.993\n",
            "epoch 22, step 465: train_loss 0.012; train_acc 1.000\n",
            "epoch 22, step 466: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 467: train_loss 0.022; train_acc 0.995\n",
            "epoch 22, step 468: train_loss 0.022; train_acc 0.993\n",
            "epoch 22, step 469: train_loss 0.032; train_acc 0.987\n",
            "epoch 22, step 470: train_loss 0.014; train_acc 0.995\n",
            "epoch 22, step 471: train_loss 0.020; train_acc 0.993\n",
            "epoch 22, step 472: train_loss 0.016; train_acc 0.998\n",
            "epoch 22, step 473: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 474: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 475: train_loss 0.009; train_acc 0.998\n",
            "epoch 22, step 476: train_loss 0.016; train_acc 0.995\n",
            "epoch 22, step 477: train_loss 0.018; train_acc 0.995\n",
            "epoch 22, step 478: train_loss 0.012; train_acc 1.000\n",
            "epoch 22, step 479: train_loss 0.016; train_acc 0.995\n",
            "epoch 22, step 480: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 481: train_loss 0.018; train_acc 0.993\n",
            "epoch 22, step 482: train_loss 0.022; train_acc 0.993\n",
            "epoch 22, step 483: train_loss 0.012; train_acc 0.998\n",
            "epoch 22, step 484: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 485: train_loss 0.020; train_acc 0.998\n",
            "epoch 22, step 486: train_loss 0.019; train_acc 0.993\n",
            "epoch 22, step 487: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 488: train_loss 0.009; train_acc 1.000\n",
            "epoch 22, step 489: train_loss 0.014; train_acc 0.998\n",
            "epoch 22, step 490: train_loss 0.011; train_acc 0.998\n",
            "epoch 22, step 491: train_loss 0.007; train_acc 1.000\n",
            "epoch 22, step 492: train_loss 0.017; train_acc 0.995\n",
            "epoch 22, step 493: train_loss 0.025; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8980947674418603\n",
            "val overall acc. :  0.9276135\n",
            "val loss :  0.2806926520030585\n",
            "[0.9995     0.878      0.978      0.8275     0.903      0.9705\n",
            " 0.8675     0.9875     0.9845     0.975      0.695      0.9225\n",
            " 0.9127907  0.925      0.96569767 0.87       0.901      0.985\n",
            " 0.9775     0.77       0.9875     0.951      0.964      0.85930233\n",
            " 0.96       0.903      0.969      0.785      0.8965     0.7925\n",
            " 0.9685     0.785      0.8525     0.971      0.8575     0.985\n",
            " 0.8445     0.8865     0.635      0.775     ]\n",
            "best_acc 0.92771477\n",
            "epoch 23, step 1: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 2: train_loss 0.023; train_acc 0.990\n",
            "epoch 23, step 3: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 4: train_loss 0.013; train_acc 0.998\n",
            "epoch 23, step 5: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 6: train_loss 0.017; train_acc 0.995\n",
            "epoch 23, step 7: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 8: train_loss 0.016; train_acc 0.993\n",
            "epoch 23, step 9: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 10: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 11: train_loss 0.006; train_acc 1.000\n",
            "epoch 23, step 12: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 13: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 14: train_loss 0.017; train_acc 0.998\n",
            "epoch 23, step 15: train_loss 0.009; train_acc 0.998\n",
            "epoch 23, step 16: train_loss 0.015; train_acc 0.998\n",
            "epoch 23, step 17: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 18: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 19: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 20: train_loss 0.019; train_acc 0.995\n",
            "epoch 23, step 21: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 22: train_loss 0.010; train_acc 0.998\n",
            "epoch 23, step 23: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 24: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 25: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 26: train_loss 0.019; train_acc 0.998\n",
            "epoch 23, step 27: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 28: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 29: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 30: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 31: train_loss 0.006; train_acc 1.000\n",
            "epoch 23, step 32: train_loss 0.019; train_acc 0.998\n",
            "epoch 23, step 33: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 34: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 35: train_loss 0.019; train_acc 0.998\n",
            "epoch 23, step 36: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 37: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 38: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 39: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 40: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 41: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 42: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 43: train_loss 0.013; train_acc 0.998\n",
            "epoch 23, step 44: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 45: train_loss 0.018; train_acc 0.998\n",
            "epoch 23, step 46: train_loss 0.018; train_acc 0.995\n",
            "epoch 23, step 47: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 48: train_loss 0.024; train_acc 0.993\n",
            "epoch 23, step 49: train_loss 0.015; train_acc 0.998\n",
            "epoch 23, step 50: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 51: train_loss 0.023; train_acc 0.995\n",
            "epoch 23, step 52: train_loss 0.018; train_acc 0.993\n",
            "epoch 23, step 53: train_loss 0.018; train_acc 0.993\n",
            "epoch 23, step 54: train_loss 0.010; train_acc 0.998\n",
            "epoch 23, step 55: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 56: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 57: train_loss 0.010; train_acc 0.998\n",
            "epoch 23, step 58: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 59: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 60: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 61: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 62: train_loss 0.024; train_acc 0.990\n",
            "epoch 23, step 63: train_loss 0.018; train_acc 0.998\n",
            "epoch 23, step 64: train_loss 0.019; train_acc 0.993\n",
            "epoch 23, step 65: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 66: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 67: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 68: train_loss 0.009; train_acc 0.998\n",
            "epoch 23, step 69: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 70: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 71: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 72: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 73: train_loss 0.023; train_acc 0.987\n",
            "epoch 23, step 74: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 75: train_loss 0.015; train_acc 0.998\n",
            "epoch 23, step 76: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 77: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 78: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 79: train_loss 0.018; train_acc 0.995\n",
            "epoch 23, step 80: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 81: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 82: train_loss 0.016; train_acc 0.998\n",
            "epoch 23, step 83: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 84: train_loss 0.014; train_acc 0.995\n",
            "epoch 23, step 85: train_loss 0.022; train_acc 0.990\n",
            "epoch 23, step 86: train_loss 0.015; train_acc 0.995\n",
            "epoch 23, step 87: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 88: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 89: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 90: train_loss 0.017; train_acc 0.995\n",
            "epoch 23, step 91: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 92: train_loss 0.016; train_acc 0.998\n",
            "epoch 23, step 93: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 94: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 95: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 96: train_loss 0.023; train_acc 0.995\n",
            "epoch 23, step 97: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 98: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 99: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 100: train_loss 0.013; train_acc 0.995\n",
            "epoch 23, step 101: train_loss 0.014; train_acc 0.995\n",
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            "epoch 23, step 402: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 403: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 404: train_loss 0.021; train_acc 0.998\n",
            "epoch 23, step 405: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 406: train_loss 0.012; train_acc 1.000\n",
            "epoch 23, step 407: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 408: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 409: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 410: train_loss 0.017; train_acc 0.993\n",
            "epoch 23, step 411: train_loss 0.019; train_acc 0.998\n",
            "epoch 23, step 412: train_loss 0.013; train_acc 0.998\n",
            "epoch 23, step 413: train_loss 0.023; train_acc 0.990\n",
            "epoch 23, step 414: train_loss 0.024; train_acc 0.995\n",
            "epoch 23, step 415: train_loss 0.009; train_acc 0.998\n",
            "epoch 23, step 416: train_loss 0.013; train_acc 0.995\n",
            "epoch 23, step 417: train_loss 0.007; train_acc 0.998\n",
            "epoch 23, step 418: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 419: train_loss 0.017; train_acc 0.995\n",
            "epoch 23, step 420: train_loss 0.015; train_acc 0.995\n",
            "epoch 23, step 421: train_loss 0.023; train_acc 0.995\n",
            "epoch 23, step 422: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 423: train_loss 0.023; train_acc 0.993\n",
            "epoch 23, step 424: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 425: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 426: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 427: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 428: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 429: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 430: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 431: train_loss 0.022; train_acc 0.993\n",
            "epoch 23, step 432: train_loss 0.013; train_acc 1.000\n",
            "epoch 23, step 433: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 434: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 435: train_loss 0.013; train_acc 1.000\n",
            "epoch 23, step 436: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 437: train_loss 0.008; train_acc 0.998\n",
            "epoch 23, step 438: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 439: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 440: train_loss 0.017; train_acc 0.998\n",
            "epoch 23, step 441: train_loss 0.009; train_acc 0.998\n",
            "epoch 23, step 442: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 443: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 444: train_loss 0.013; train_acc 0.998\n",
            "epoch 23, step 445: train_loss 0.018; train_acc 0.995\n",
            "epoch 23, step 446: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 447: train_loss 0.015; train_acc 0.995\n",
            "epoch 23, step 448: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 449: train_loss 0.017; train_acc 0.995\n",
            "epoch 23, step 450: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 451: train_loss 0.016; train_acc 0.998\n",
            "epoch 23, step 452: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 453: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 454: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 455: train_loss 0.013; train_acc 0.998\n",
            "epoch 23, step 456: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 457: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 458: train_loss 0.016; train_acc 0.995\n",
            "epoch 23, step 459: train_loss 0.011; train_acc 0.998\n",
            "epoch 23, step 460: train_loss 0.018; train_acc 0.995\n",
            "epoch 23, step 461: train_loss 0.014; train_acc 0.995\n",
            "epoch 23, step 462: train_loss 0.018; train_acc 0.995\n",
            "epoch 23, step 463: train_loss 0.017; train_acc 0.995\n",
            "epoch 23, step 464: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 465: train_loss 0.023; train_acc 0.998\n",
            "epoch 23, step 466: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 467: train_loss 0.019; train_acc 0.995\n",
            "epoch 23, step 468: train_loss 0.016; train_acc 0.998\n",
            "epoch 23, step 469: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 470: train_loss 0.009; train_acc 0.998\n",
            "epoch 23, step 471: train_loss 0.024; train_acc 0.993\n",
            "epoch 23, step 472: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 473: train_loss 0.011; train_acc 1.000\n",
            "epoch 23, step 474: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 475: train_loss 0.010; train_acc 1.000\n",
            "epoch 23, step 476: train_loss 0.011; train_acc 0.995\n",
            "epoch 23, step 477: train_loss 0.022; train_acc 0.995\n",
            "epoch 23, step 478: train_loss 0.024; train_acc 0.993\n",
            "epoch 23, step 479: train_loss 0.019; train_acc 0.998\n",
            "epoch 23, step 480: train_loss 0.016; train_acc 0.993\n",
            "epoch 23, step 481: train_loss 0.007; train_acc 1.000\n",
            "epoch 23, step 482: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 483: train_loss 0.009; train_acc 1.000\n",
            "epoch 23, step 484: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 485: train_loss 0.013; train_acc 0.995\n",
            "epoch 23, step 486: train_loss 0.027; train_acc 0.998\n",
            "epoch 23, step 487: train_loss 0.014; train_acc 0.998\n",
            "epoch 23, step 488: train_loss 0.010; train_acc 0.998\n",
            "epoch 23, step 489: train_loss 0.015; train_acc 0.998\n",
            "epoch 23, step 490: train_loss 0.012; train_acc 0.998\n",
            "epoch 23, step 491: train_loss 0.008; train_acc 1.000\n",
            "epoch 23, step 492: train_loss 0.023; train_acc 0.993\n",
            "epoch 23, step 493: train_loss 0.036; train_acc 0.983\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.899346511627907\n",
            "val overall acc. :  0.92866695\n",
            "val loss :  0.27343246570014723\n",
            "[1.         0.877      0.9755     0.8175     0.9005     0.9645\n",
            " 0.8475     0.9895     0.9875     0.98       0.735      0.9225\n",
            " 0.90988372 0.9325     0.97151163 0.885      0.8885     0.9865\n",
            " 0.965      0.7825     0.9825     0.9505     0.962      0.86046512\n",
            " 0.9525     0.9015     0.9715     0.765      0.914      0.8125\n",
            " 0.969      0.765      0.8275     0.969      0.8525     0.982\n",
            " 0.86       0.893      0.7        0.765     ]\n",
            "best_acc 0.92866695\n",
            "epoch 24, step 1: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 2: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 3: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 4: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 5: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 6: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 7: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 8: train_loss 0.023; train_acc 0.990\n",
            "epoch 24, step 9: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 10: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 11: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 12: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 13: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 14: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 15: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 16: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 17: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 18: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 19: train_loss 0.020; train_acc 0.993\n",
            "epoch 24, step 20: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 21: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 22: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 23: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 24: train_loss 0.024; train_acc 0.995\n",
            "epoch 24, step 25: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 26: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 27: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 28: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 29: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 30: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 31: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 32: train_loss 0.020; train_acc 0.993\n",
            "epoch 24, step 33: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 34: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 35: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 36: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 37: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 38: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 39: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 40: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 41: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 42: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 43: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 44: train_loss 0.019; train_acc 0.995\n",
            "epoch 24, step 45: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 46: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 47: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 48: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 49: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 50: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 51: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 52: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 53: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 54: train_loss 0.013; train_acc 1.000\n",
            "epoch 24, step 55: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 56: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 57: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 58: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 59: train_loss 0.019; train_acc 0.995\n",
            "epoch 24, step 60: train_loss 0.018; train_acc 0.998\n",
            "epoch 24, step 61: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 62: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 63: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 64: train_loss 0.029; train_acc 0.993\n",
            "epoch 24, step 65: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 66: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 67: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 68: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 69: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 70: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 71: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 72: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 73: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 74: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 75: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 76: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 77: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 78: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 79: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 80: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 81: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 82: train_loss 0.015; train_acc 0.993\n",
            "epoch 24, step 83: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 84: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 85: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 86: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 87: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 88: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 89: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 90: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 91: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 92: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 93: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 94: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 95: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 96: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 97: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 98: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 99: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 100: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 101: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 102: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 103: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 104: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 105: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 106: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 107: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 108: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 109: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 110: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 111: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 112: train_loss 0.020; train_acc 0.993\n",
            "epoch 24, step 113: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 114: train_loss 0.021; train_acc 0.993\n",
            "epoch 24, step 115: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 116: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 117: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 118: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 119: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 120: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 121: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 122: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 123: train_loss 0.015; train_acc 0.995\n",
            "epoch 24, step 124: train_loss 0.018; train_acc 0.993\n",
            "epoch 24, step 125: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 126: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 127: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 128: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 129: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 130: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 131: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 132: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 133: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 134: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 135: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 136: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 137: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 138: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 139: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 140: train_loss 0.025; train_acc 0.993\n",
            "epoch 24, step 141: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 142: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 143: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 144: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 145: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 146: train_loss 0.021; train_acc 0.993\n",
            "epoch 24, step 147: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 148: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 149: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 150: train_loss 0.023; train_acc 0.995\n",
            "epoch 24, step 151: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 152: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 153: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 154: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 155: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 156: train_loss 0.023; train_acc 0.995\n",
            "epoch 24, step 157: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 158: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 159: train_loss 0.021; train_acc 0.993\n",
            "epoch 24, step 160: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 161: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 162: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 163: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 164: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 165: train_loss 0.020; train_acc 0.993\n",
            "epoch 24, step 166: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 167: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 168: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 169: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 170: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 171: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 172: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 173: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 174: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 175: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 176: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 177: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 178: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 179: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 180: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 181: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 182: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 183: train_loss 0.018; train_acc 0.993\n",
            "epoch 24, step 184: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 185: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 186: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 187: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 188: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 189: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 190: train_loss 0.015; train_acc 0.995\n",
            "epoch 24, step 191: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 192: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 193: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 194: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 195: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 196: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 197: train_loss 0.023; train_acc 0.995\n",
            "epoch 24, step 198: train_loss 0.020; train_acc 0.998\n",
            "epoch 24, step 199: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 200: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 201: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 202: train_loss 0.018; train_acc 0.995\n",
            "epoch 24, step 203: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 204: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 205: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 206: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 207: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 208: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 209: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 210: train_loss 0.018; train_acc 0.998\n",
            "epoch 24, step 211: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 212: train_loss 0.015; train_acc 0.993\n",
            "epoch 24, step 213: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 214: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 215: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 216: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 217: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 218: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 219: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 220: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 221: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 222: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 223: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 224: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 225: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 226: train_loss 0.029; train_acc 0.995\n",
            "epoch 24, step 227: train_loss 0.022; train_acc 0.995\n",
            "epoch 24, step 228: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 229: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 230: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 231: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 232: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 233: train_loss 0.019; train_acc 0.995\n",
            "epoch 24, step 234: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 235: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 236: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 237: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 238: train_loss 0.013; train_acc 1.000\n",
            "epoch 24, step 239: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 240: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 241: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 242: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 243: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 244: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 245: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 246: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 247: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 248: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 249: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 250: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 251: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 252: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 253: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 254: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 255: train_loss 0.011; train_acc 0.995\n",
            "epoch 24, step 256: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 257: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 258: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 259: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 260: train_loss 0.018; train_acc 0.995\n",
            "epoch 24, step 261: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 262: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 263: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 264: train_loss 0.016; train_acc 0.993\n",
            "epoch 24, step 265: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 266: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 267: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 268: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 269: train_loss 0.024; train_acc 0.993\n",
            "epoch 24, step 270: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 271: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 272: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 273: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 274: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 275: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 276: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 277: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 278: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 279: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 280: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 281: train_loss 0.015; train_acc 0.995\n",
            "epoch 24, step 282: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 283: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 284: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 285: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 286: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 287: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 288: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 289: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 290: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 291: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 292: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 293: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 294: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 295: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 296: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 297: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 298: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 299: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 300: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 301: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 302: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 303: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 304: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 305: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 306: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 307: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 308: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 309: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 310: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 311: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 312: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 313: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 314: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 315: train_loss 0.023; train_acc 0.995\n",
            "epoch 24, step 316: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 317: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 318: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 319: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 320: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 321: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 322: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 323: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 324: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 325: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 326: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 327: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 328: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 329: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 330: train_loss 0.018; train_acc 0.995\n",
            "epoch 24, step 331: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 332: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 333: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 334: train_loss 0.023; train_acc 0.995\n",
            "epoch 24, step 335: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 336: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 337: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 338: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 339: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 340: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 341: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 342: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 343: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 344: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 345: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 346: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 347: train_loss 0.019; train_acc 0.995\n",
            "epoch 24, step 348: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 349: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 350: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 351: train_loss 0.022; train_acc 0.998\n",
            "epoch 24, step 352: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 353: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 354: train_loss 0.014; train_acc 0.993\n",
            "epoch 24, step 355: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 356: train_loss 0.021; train_acc 0.995\n",
            "epoch 24, step 357: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 358: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 359: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 360: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 361: train_loss 0.015; train_acc 0.995\n",
            "epoch 24, step 362: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 363: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 364: train_loss 0.015; train_acc 0.995\n",
            "epoch 24, step 365: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 366: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 367: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 368: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 369: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 370: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 371: train_loss 0.010; train_acc 0.995\n",
            "epoch 24, step 372: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 373: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 374: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 375: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 376: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 377: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 378: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 379: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 380: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 381: train_loss 0.028; train_acc 0.990\n",
            "epoch 24, step 382: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 383: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 384: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 385: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 386: train_loss 0.021; train_acc 0.993\n",
            "epoch 24, step 387: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 388: train_loss 0.009; train_acc 0.998\n",
            "epoch 24, step 389: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 390: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 391: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 392: train_loss 0.018; train_acc 0.995\n",
            "epoch 24, step 393: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 394: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 395: train_loss 0.020; train_acc 0.998\n",
            "epoch 24, step 396: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 397: train_loss 0.021; train_acc 0.990\n",
            "epoch 24, step 398: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 399: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 400: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 401: train_loss 0.018; train_acc 0.995\n",
            "epoch 24, step 402: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 403: train_loss 0.016; train_acc 0.998\n",
            "epoch 24, step 404: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 405: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 406: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 407: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 408: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 409: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 410: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 411: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 412: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 413: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 414: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 415: train_loss 0.005; train_acc 1.000\n",
            "epoch 24, step 416: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 417: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 418: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 419: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 420: train_loss 0.014; train_acc 1.000\n",
            "epoch 24, step 421: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 422: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 423: train_loss 0.018; train_acc 0.998\n",
            "epoch 24, step 424: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 425: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 426: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 427: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 428: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 429: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 430: train_loss 0.017; train_acc 0.993\n",
            "epoch 24, step 431: train_loss 0.026; train_acc 0.990\n",
            "epoch 24, step 432: train_loss 0.013; train_acc 0.995\n",
            "epoch 24, step 433: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 434: train_loss 0.015; train_acc 0.993\n",
            "epoch 24, step 435: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 436: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 437: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 438: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 439: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 440: train_loss 0.014; train_acc 0.998\n",
            "epoch 24, step 441: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 442: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 443: train_loss 0.012; train_acc 0.995\n",
            "epoch 24, step 444: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 445: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 446: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 447: train_loss 0.011; train_acc 0.995\n",
            "epoch 24, step 448: train_loss 0.012; train_acc 1.000\n",
            "epoch 24, step 449: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 450: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 451: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 452: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 453: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 454: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 455: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 456: train_loss 0.028; train_acc 0.995\n",
            "epoch 24, step 457: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 458: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 459: train_loss 0.008; train_acc 0.998\n",
            "epoch 24, step 460: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 461: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 462: train_loss 0.017; train_acc 0.998\n",
            "epoch 24, step 463: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 464: train_loss 0.015; train_acc 0.998\n",
            "epoch 24, step 465: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 466: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 467: train_loss 0.024; train_acc 0.995\n",
            "epoch 24, step 468: train_loss 0.022; train_acc 0.995\n",
            "epoch 24, step 469: train_loss 0.018; train_acc 0.998\n",
            "epoch 24, step 470: train_loss 0.010; train_acc 0.998\n",
            "epoch 24, step 471: train_loss 0.017; train_acc 0.995\n",
            "epoch 24, step 472: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 473: train_loss 0.011; train_acc 0.998\n",
            "epoch 24, step 474: train_loss 0.026; train_acc 0.993\n",
            "epoch 24, step 475: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 476: train_loss 0.009; train_acc 1.000\n",
            "epoch 24, step 477: train_loss 0.011; train_acc 1.000\n",
            "epoch 24, step 478: train_loss 0.014; train_acc 0.995\n",
            "epoch 24, step 479: train_loss 0.013; train_acc 0.998\n",
            "epoch 24, step 480: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 481: train_loss 0.020; train_acc 0.993\n",
            "epoch 24, step 482: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 483: train_loss 0.006; train_acc 1.000\n",
            "epoch 24, step 484: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 485: train_loss 0.012; train_acc 0.998\n",
            "epoch 24, step 486: train_loss 0.016; train_acc 0.995\n",
            "epoch 24, step 487: train_loss 0.020; train_acc 0.995\n",
            "epoch 24, step 488: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 489: train_loss 0.022; train_acc 0.995\n",
            "epoch 24, step 490: train_loss 0.007; train_acc 1.000\n",
            "epoch 24, step 491: train_loss 0.010; train_acc 1.000\n",
            "epoch 24, step 492: train_loss 0.008; train_acc 1.000\n",
            "epoch 24, step 493: train_loss 0.013; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.899570058139535\n",
            "val overall acc. :  0.92803895\n",
            "val loss :  0.2798493750930403\n",
            "[1.         0.847      0.9785     0.8125     0.912      0.965\n",
            " 0.895      0.9885     0.984      0.985      0.68       0.9275\n",
            " 0.89825581 0.93       0.97848837 0.865      0.906      0.987\n",
            " 0.9725     0.785      0.9775     0.9495     0.969      0.83255814\n",
            " 0.9475     0.91       0.968      0.78       0.9085     0.8075\n",
            " 0.9665     0.795      0.855      0.9685     0.87       0.9845\n",
            " 0.852      0.884      0.71       0.75      ]\n",
            "best_acc 0.92866695\n",
            "epoch 25, step 1: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 2: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 3: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 4: train_loss 0.009; train_acc 0.998\n",
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            "epoch 25, step 6: train_loss 0.008; train_acc 1.000\n",
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            "epoch 25, step 8: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 9: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 10: train_loss 0.032; train_acc 0.990\n",
            "epoch 25, step 11: train_loss 0.018; train_acc 0.995\n",
            "epoch 25, step 12: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 13: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 14: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 15: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 16: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 17: train_loss 0.008; train_acc 0.998\n",
            "epoch 25, step 18: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 19: train_loss 0.011; train_acc 1.000\n",
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            "epoch 25, step 21: train_loss 0.013; train_acc 0.995\n",
            "epoch 25, step 22: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 23: train_loss 0.015; train_acc 0.995\n",
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            "epoch 25, step 32: train_loss 0.021; train_acc 0.993\n",
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            "epoch 25, step 157: train_loss 0.023; train_acc 0.993\n",
            "epoch 25, step 158: train_loss 0.008; train_acc 1.000\n",
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            "epoch 25, step 164: train_loss 0.010; train_acc 1.000\n",
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            "epoch 25, step 294: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 295: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 296: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 297: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 298: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 299: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 300: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 301: train_loss 0.014; train_acc 0.995\n",
            "epoch 25, step 302: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 303: train_loss 0.015; train_acc 0.998\n",
            "epoch 25, step 304: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 305: train_loss 0.014; train_acc 1.000\n",
            "epoch 25, step 306: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 307: train_loss 0.026; train_acc 0.990\n",
            "epoch 25, step 308: train_loss 0.028; train_acc 0.987\n",
            "epoch 25, step 309: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 310: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 311: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 312: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 313: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 314: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 315: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 316: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 317: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 318: train_loss 0.022; train_acc 0.998\n",
            "epoch 25, step 319: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 320: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 321: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 322: train_loss 0.013; train_acc 0.995\n",
            "epoch 25, step 323: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 324: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 325: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 326: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 327: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 328: train_loss 0.034; train_acc 0.993\n",
            "epoch 25, step 329: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 330: train_loss 0.006; train_acc 1.000\n",
            "epoch 25, step 331: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 332: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 333: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 334: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 335: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 336: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 337: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 338: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 339: train_loss 0.008; train_acc 0.998\n",
            "epoch 25, step 340: train_loss 0.015; train_acc 0.998\n",
            "epoch 25, step 341: train_loss 0.013; train_acc 0.995\n",
            "epoch 25, step 342: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 343: train_loss 0.019; train_acc 0.998\n",
            "epoch 25, step 344: train_loss 0.006; train_acc 1.000\n",
            "epoch 25, step 345: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 346: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 347: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 348: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 349: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 350: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 351: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 352: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 353: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 354: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 355: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 356: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 357: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 358: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 359: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 360: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 361: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 362: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 363: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 364: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 365: train_loss 0.017; train_acc 0.993\n",
            "epoch 25, step 366: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 367: train_loss 0.012; train_acc 0.995\n",
            "epoch 25, step 368: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 369: train_loss 0.020; train_acc 0.990\n",
            "epoch 25, step 370: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 371: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 372: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 373: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 374: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 375: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 376: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 377: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 378: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 379: train_loss 0.015; train_acc 0.993\n",
            "epoch 25, step 380: train_loss 0.012; train_acc 1.000\n",
            "epoch 25, step 381: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 382: train_loss 0.027; train_acc 0.990\n",
            "epoch 25, step 383: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 384: train_loss 0.015; train_acc 0.998\n",
            "epoch 25, step 385: train_loss 0.018; train_acc 0.995\n",
            "epoch 25, step 386: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 387: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 388: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 389: train_loss 0.017; train_acc 0.995\n",
            "epoch 25, step 390: train_loss 0.005; train_acc 1.000\n",
            "epoch 25, step 391: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 392: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 393: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 394: train_loss 0.025; train_acc 0.993\n",
            "epoch 25, step 395: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 396: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 397: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 398: train_loss 0.016; train_acc 0.998\n",
            "epoch 25, step 399: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 400: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 401: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 402: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 403: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 404: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 405: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 406: train_loss 0.018; train_acc 0.995\n",
            "epoch 25, step 407: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 408: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 409: train_loss 0.019; train_acc 0.993\n",
            "epoch 25, step 410: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 411: train_loss 0.015; train_acc 0.998\n",
            "epoch 25, step 412: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 413: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 414: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 415: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 416: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 417: train_loss 0.013; train_acc 0.995\n",
            "epoch 25, step 418: train_loss 0.014; train_acc 0.995\n",
            "epoch 25, step 419: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 420: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 421: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 422: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 423: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 424: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 425: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 426: train_loss 0.026; train_acc 0.987\n",
            "epoch 25, step 427: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 428: train_loss 0.012; train_acc 1.000\n",
            "epoch 25, step 429: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 430: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 431: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 432: train_loss 0.013; train_acc 0.998\n",
            "epoch 25, step 433: train_loss 0.020; train_acc 0.995\n",
            "epoch 25, step 434: train_loss 0.023; train_acc 0.993\n",
            "epoch 25, step 435: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 436: train_loss 0.017; train_acc 0.993\n",
            "epoch 25, step 437: train_loss 0.019; train_acc 0.995\n",
            "epoch 25, step 438: train_loss 0.017; train_acc 0.995\n",
            "epoch 25, step 439: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 440: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 441: train_loss 0.020; train_acc 0.993\n",
            "epoch 25, step 442: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 443: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 444: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 445: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 446: train_loss 0.023; train_acc 0.993\n",
            "epoch 25, step 447: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 448: train_loss 0.011; train_acc 0.995\n",
            "epoch 25, step 449: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 450: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 451: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 452: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 453: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 454: train_loss 0.016; train_acc 0.995\n",
            "epoch 25, step 455: train_loss 0.012; train_acc 0.995\n",
            "epoch 25, step 456: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 457: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 458: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 459: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 460: train_loss 0.010; train_acc 0.998\n",
            "epoch 25, step 461: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 462: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 463: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 464: train_loss 0.011; train_acc 0.998\n",
            "epoch 25, step 465: train_loss 0.011; train_acc 1.000\n",
            "epoch 25, step 466: train_loss 0.017; train_acc 0.998\n",
            "epoch 25, step 467: train_loss 0.024; train_acc 0.993\n",
            "epoch 25, step 468: train_loss 0.011; train_acc 0.995\n",
            "epoch 25, step 469: train_loss 0.021; train_acc 0.995\n",
            "epoch 25, step 470: train_loss 0.012; train_acc 0.998\n",
            "epoch 25, step 471: train_loss 0.014; train_acc 0.998\n",
            "epoch 25, step 472: train_loss 0.018; train_acc 0.995\n",
            "epoch 25, step 473: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 474: train_loss 0.008; train_acc 1.000\n",
            "epoch 25, step 475: train_loss 0.017; train_acc 0.995\n",
            "epoch 25, step 476: train_loss 0.015; train_acc 0.998\n",
            "epoch 25, step 477: train_loss 0.018; train_acc 0.998\n",
            "epoch 25, step 478: train_loss 0.026; train_acc 0.990\n",
            "epoch 25, step 479: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 480: train_loss 0.017; train_acc 0.995\n",
            "epoch 25, step 481: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 482: train_loss 0.012; train_acc 0.995\n",
            "epoch 25, step 483: train_loss 0.014; train_acc 1.000\n",
            "epoch 25, step 484: train_loss 0.010; train_acc 1.000\n",
            "epoch 25, step 485: train_loss 0.009; train_acc 1.000\n",
            "epoch 25, step 486: train_loss 0.009; train_acc 0.998\n",
            "epoch 25, step 487: train_loss 0.007; train_acc 1.000\n",
            "epoch 25, step 488: train_loss 0.019; train_acc 0.993\n",
            "epoch 25, step 489: train_loss 0.020; train_acc 0.995\n",
            "epoch 25, step 490: train_loss 0.018; train_acc 0.993\n",
            "epoch 25, step 491: train_loss 0.006; train_acc 1.000\n",
            "epoch 25, step 492: train_loss 0.015; train_acc 0.995\n",
            "epoch 25, step 493: train_loss 0.015; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8949651162790697\n",
            "val overall acc. :  0.9263979\n",
            "val loss :  0.288162985450453\n",
            "[0.9995     0.859      0.9755     0.8075     0.902      0.972\n",
            " 0.89       0.985      0.983      0.9675     0.71       0.9225\n",
            " 0.91162791 0.925      0.96918605 0.795      0.903      0.984\n",
            " 0.9675     0.7775     0.9875     0.9515     0.965      0.8877907\n",
            " 0.9425     0.899      0.981      0.76       0.875      0.805\n",
            " 0.9705     0.775      0.84       0.966      0.86       0.978\n",
            " 0.8385     0.895      0.695      0.72      ]\n",
            "best_acc 0.92866695\n",
            "epoch 26, step 1: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 2: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 3: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 4: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 5: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 6: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 7: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 8: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 9: train_loss 0.018; train_acc 0.995\n",
            "epoch 26, step 10: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 11: train_loss 0.005; train_acc 1.000\n",
            "epoch 26, step 12: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 13: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 14: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 15: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 16: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 17: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 18: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 19: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 20: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 21: train_loss 0.008; train_acc 0.998\n",
            "epoch 26, step 22: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 23: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 24: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 25: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 26: train_loss 0.013; train_acc 1.000\n",
            "epoch 26, step 27: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 28: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 29: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 30: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 31: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 32: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 33: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 34: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 35: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 36: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 37: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 38: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 39: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 40: train_loss 0.015; train_acc 0.998\n",
            "epoch 26, step 41: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 42: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 43: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 44: train_loss 0.008; train_acc 0.998\n",
            "epoch 26, step 45: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 46: train_loss 0.013; train_acc 0.993\n",
            "epoch 26, step 47: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 48: train_loss 0.026; train_acc 0.993\n",
            "epoch 26, step 49: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 50: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 51: train_loss 0.017; train_acc 0.995\n",
            "epoch 26, step 52: train_loss 0.025; train_acc 0.993\n",
            "epoch 26, step 53: train_loss 0.016; train_acc 0.998\n",
            "epoch 26, step 54: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 55: train_loss 0.013; train_acc 0.995\n",
            "epoch 26, step 56: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 57: train_loss 0.017; train_acc 0.998\n",
            "epoch 26, step 58: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 59: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 60: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 61: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 62: train_loss 0.019; train_acc 0.995\n",
            "epoch 26, step 63: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 64: train_loss 0.016; train_acc 0.998\n",
            "epoch 26, step 65: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 66: train_loss 0.018; train_acc 0.993\n",
            "epoch 26, step 67: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 68: train_loss 0.013; train_acc 0.995\n",
            "epoch 26, step 69: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 70: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 71: train_loss 0.020; train_acc 0.993\n",
            "epoch 26, step 72: train_loss 0.023; train_acc 0.990\n",
            "epoch 26, step 73: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 74: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 75: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 76: train_loss 0.017; train_acc 0.993\n",
            "epoch 26, step 77: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 78: train_loss 0.015; train_acc 0.998\n",
            "epoch 26, step 79: train_loss 0.012; train_acc 1.000\n",
            "epoch 26, step 80: train_loss 0.011; train_acc 0.995\n",
            "epoch 26, step 81: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 82: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 83: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 84: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 85: train_loss 0.022; train_acc 0.995\n",
            "epoch 26, step 86: train_loss 0.016; train_acc 0.998\n",
            "epoch 26, step 87: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 88: train_loss 0.017; train_acc 0.995\n",
            "epoch 26, step 89: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 90: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 91: train_loss 0.008; train_acc 1.000\n",
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            "epoch 26, step 391: train_loss 0.019; train_acc 0.993\n",
            "epoch 26, step 392: train_loss 0.020; train_acc 0.993\n",
            "epoch 26, step 393: train_loss 0.015; train_acc 0.998\n",
            "epoch 26, step 394: train_loss 0.020; train_acc 0.990\n",
            "epoch 26, step 395: train_loss 0.005; train_acc 1.000\n",
            "epoch 26, step 396: train_loss 0.017; train_acc 0.995\n",
            "epoch 26, step 397: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 398: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 399: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 400: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 401: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 402: train_loss 0.013; train_acc 0.998\n",
            "epoch 26, step 403: train_loss 0.018; train_acc 0.995\n",
            "epoch 26, step 404: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 405: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 406: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 407: train_loss 0.017; train_acc 0.995\n",
            "epoch 26, step 408: train_loss 0.019; train_acc 0.995\n",
            "epoch 26, step 409: train_loss 0.016; train_acc 0.998\n",
            "epoch 26, step 410: train_loss 0.013; train_acc 1.000\n",
            "epoch 26, step 411: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 412: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 413: train_loss 0.012; train_acc 0.995\n",
            "epoch 26, step 414: train_loss 0.018; train_acc 0.993\n",
            "epoch 26, step 415: train_loss 0.004; train_acc 1.000\n",
            "epoch 26, step 416: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 417: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 418: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 419: train_loss 0.013; train_acc 0.995\n",
            "epoch 26, step 420: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 421: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 422: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 423: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 424: train_loss 0.028; train_acc 0.993\n",
            "epoch 26, step 425: train_loss 0.022; train_acc 0.995\n",
            "epoch 26, step 426: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 427: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 428: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 429: train_loss 0.013; train_acc 0.998\n",
            "epoch 26, step 430: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 431: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 432: train_loss 0.015; train_acc 0.998\n",
            "epoch 26, step 433: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 434: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 435: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 436: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 437: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 438: train_loss 0.012; train_acc 1.000\n",
            "epoch 26, step 439: train_loss 0.015; train_acc 0.995\n",
            "epoch 26, step 440: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 441: train_loss 0.019; train_acc 0.998\n",
            "epoch 26, step 442: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 443: train_loss 0.012; train_acc 1.000\n",
            "epoch 26, step 444: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 445: train_loss 0.013; train_acc 0.995\n",
            "epoch 26, step 446: train_loss 0.009; train_acc 0.998\n",
            "epoch 26, step 447: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 448: train_loss 0.017; train_acc 0.998\n",
            "epoch 26, step 449: train_loss 0.017; train_acc 0.995\n",
            "epoch 26, step 450: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 451: train_loss 0.011; train_acc 0.995\n",
            "epoch 26, step 452: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 453: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 454: train_loss 0.011; train_acc 0.995\n",
            "epoch 26, step 455: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 456: train_loss 0.009; train_acc 1.000\n",
            "epoch 26, step 457: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 458: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 459: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 460: train_loss 0.022; train_acc 0.993\n",
            "epoch 26, step 461: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 462: train_loss 0.015; train_acc 0.995\n",
            "epoch 26, step 463: train_loss 0.010; train_acc 1.000\n",
            "epoch 26, step 464: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 465: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 466: train_loss 0.013; train_acc 0.995\n",
            "epoch 26, step 467: train_loss 0.006; train_acc 1.000\n",
            "epoch 26, step 468: train_loss 0.014; train_acc 0.998\n",
            "epoch 26, step 469: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 470: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 471: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 472: train_loss 0.015; train_acc 0.995\n",
            "epoch 26, step 473: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 474: train_loss 0.014; train_acc 0.995\n",
            "epoch 26, step 475: train_loss 0.018; train_acc 0.995\n",
            "epoch 26, step 476: train_loss 0.017; train_acc 0.993\n",
            "epoch 26, step 477: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 478: train_loss 0.015; train_acc 0.995\n",
            "epoch 26, step 479: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 480: train_loss 0.013; train_acc 0.998\n",
            "epoch 26, step 481: train_loss 0.011; train_acc 1.000\n",
            "epoch 26, step 482: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 483: train_loss 0.008; train_acc 1.000\n",
            "epoch 26, step 484: train_loss 0.019; train_acc 0.995\n",
            "epoch 26, step 485: train_loss 0.016; train_acc 0.995\n",
            "epoch 26, step 486: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 487: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 488: train_loss 0.010; train_acc 0.998\n",
            "epoch 26, step 489: train_loss 0.012; train_acc 0.998\n",
            "epoch 26, step 490: train_loss 0.020; train_acc 0.995\n",
            "epoch 26, step 491: train_loss 0.007; train_acc 1.000\n",
            "epoch 26, step 492: train_loss 0.011; train_acc 0.998\n",
            "epoch 26, step 493: train_loss 0.008; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.9030726744186046\n",
            "val overall acc. :  0.9295989\n",
            "val loss :  0.27537326150641384\n",
            "[1.         0.885      0.9775     0.825      0.915      0.973\n",
            " 0.9375     0.9895     0.984      0.9775     0.7275     0.925\n",
            " 0.8994186  0.935      0.97325581 0.8775     0.9145     0.989\n",
            " 0.98       0.7775     0.985      0.9545     0.9665     0.85523256\n",
            " 0.9625     0.9        0.9715     0.7625     0.9025     0.795\n",
            " 0.969      0.7875     0.865      0.964      0.8675     0.9855\n",
            " 0.842      0.867      0.6675     0.79      ]\n",
            "best_acc 0.9295989\n",
            "epoch 27, step 1: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 2: train_loss 0.005; train_acc 1.000\n",
            "epoch 27, step 3: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 4: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 5: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 6: train_loss 0.005; train_acc 1.000\n",
            "epoch 27, step 7: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 8: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 9: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 10: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 11: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 12: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 13: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 14: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 15: train_loss 0.016; train_acc 0.993\n",
            "epoch 27, step 16: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 17: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 18: train_loss 0.013; train_acc 0.995\n",
            "epoch 27, step 19: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 20: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 21: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 22: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 23: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 24: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 25: train_loss 0.013; train_acc 1.000\n",
            "epoch 27, step 26: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 27: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 28: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 29: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 30: train_loss 0.011; train_acc 1.000\n",
            "epoch 27, step 31: train_loss 0.018; train_acc 0.993\n",
            "epoch 27, step 32: train_loss 0.005; train_acc 1.000\n",
            "epoch 27, step 33: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 34: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 35: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 36: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 37: train_loss 0.010; train_acc 0.998\n",
            "epoch 27, step 38: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 39: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 40: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 41: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 42: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 43: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 44: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 45: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 46: train_loss 0.007; train_acc 0.998\n",
            "epoch 27, step 47: train_loss 0.016; train_acc 0.998\n",
            "epoch 27, step 48: train_loss 0.014; train_acc 0.993\n",
            "epoch 27, step 49: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 50: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 51: train_loss 0.010; train_acc 0.998\n",
            "epoch 27, step 52: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 53: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 54: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 55: train_loss 0.015; train_acc 0.995\n",
            "epoch 27, step 56: train_loss 0.016; train_acc 0.998\n",
            "epoch 27, step 57: train_loss 0.022; train_acc 0.993\n",
            "epoch 27, step 58: train_loss 0.010; train_acc 0.998\n",
            "epoch 27, step 59: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 60: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 61: train_loss 0.017; train_acc 0.993\n",
            "epoch 27, step 62: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 63: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 64: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 65: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 66: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 67: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 68: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 69: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 70: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 71: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 72: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 73: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 74: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 75: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 76: train_loss 0.010; train_acc 0.998\n",
            "epoch 27, step 77: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 78: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 79: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 80: train_loss 0.011; train_acc 1.000\n",
            "epoch 27, step 81: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 82: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 83: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 84: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 85: train_loss 0.008; train_acc 0.998\n",
            "epoch 27, step 86: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 87: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 88: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 89: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 90: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 91: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 92: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 93: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 94: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 95: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 96: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 97: train_loss 0.014; train_acc 0.998\n",
            "epoch 27, step 98: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 99: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 100: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 101: train_loss 0.005; train_acc 1.000\n",
            "epoch 27, step 102: train_loss 0.007; train_acc 0.998\n",
            "epoch 27, step 103: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 104: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 105: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 106: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 107: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 108: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 109: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 110: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 111: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 112: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 113: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 114: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 115: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 116: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 117: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 118: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 119: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 120: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 121: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 122: train_loss 0.012; train_acc 0.995\n",
            "epoch 27, step 123: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 124: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 125: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 126: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 127: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 128: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 129: train_loss 0.017; train_acc 0.993\n",
            "epoch 27, step 130: train_loss 0.012; train_acc 0.995\n",
            "epoch 27, step 131: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 132: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 133: train_loss 0.016; train_acc 0.998\n",
            "epoch 27, step 134: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 135: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 136: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 137: train_loss 0.008; train_acc 0.998\n",
            "epoch 27, step 138: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 139: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 140: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 141: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 142: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 143: train_loss 0.020; train_acc 0.990\n",
            "epoch 27, step 144: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 145: train_loss 0.011; train_acc 1.000\n",
            "epoch 27, step 146: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 147: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 148: train_loss 0.017; train_acc 0.998\n",
            "epoch 27, step 149: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 150: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 151: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 152: train_loss 0.019; train_acc 0.995\n",
            "epoch 27, step 153: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 154: train_loss 0.012; train_acc 0.995\n",
            "epoch 27, step 155: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 156: train_loss 0.019; train_acc 0.995\n",
            "epoch 27, step 157: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 158: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 159: train_loss 0.013; train_acc 0.995\n",
            "epoch 27, step 160: train_loss 0.008; train_acc 0.998\n",
            "epoch 27, step 161: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 162: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 163: train_loss 0.014; train_acc 0.995\n",
            "epoch 27, step 164: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 165: train_loss 0.011; train_acc 0.998\n",
            "epoch 27, step 166: train_loss 0.014; train_acc 0.998\n",
            "epoch 27, step 167: train_loss 0.014; train_acc 0.998\n",
            "epoch 27, step 168: train_loss 0.011; train_acc 1.000\n",
            "epoch 27, step 169: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 170: train_loss 0.012; train_acc 0.998\n",
            "epoch 27, step 171: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 172: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 173: train_loss 0.012; train_acc 0.995\n",
            "epoch 27, step 174: train_loss 0.022; train_acc 0.995\n",
            "epoch 27, step 175: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 176: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 177: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 178: train_loss 0.006; train_acc 1.000\n",
            "epoch 27, step 179: train_loss 0.010; train_acc 1.000\n",
            "epoch 27, step 180: train_loss 0.017; train_acc 0.995\n",
            "epoch 27, step 181: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 182: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 183: train_loss 0.010; train_acc 0.998\n",
            "epoch 27, step 184: train_loss 0.009; train_acc 1.000\n",
            "epoch 27, step 185: train_loss 0.013; train_acc 0.998\n",
            "epoch 27, step 186: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 187: train_loss 0.007; train_acc 1.000\n",
            "epoch 27, step 188: train_loss 0.012; train_acc 0.998\n",
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            "epoch 27, step 488: train_loss 0.017; train_acc 0.998\n",
            "epoch 27, step 489: train_loss 0.011; train_acc 1.000\n",
            "epoch 27, step 490: train_loss 0.008; train_acc 1.000\n",
            "epoch 27, step 491: train_loss 0.009; train_acc 0.998\n",
            "epoch 27, step 492: train_loss 0.015; train_acc 0.998\n",
            "epoch 27, step 493: train_loss 0.019; train_acc 1.000\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8994151162790697\n",
            "val overall acc. :  0.9268842\n",
            "val loss :  0.2794300550172451\n",
            "[1.         0.877      0.9795     0.835      0.901      0.9595\n",
            " 0.8575     0.988      0.987      0.975      0.715      0.9375\n",
            " 0.88604651 0.9325     0.96802326 0.91       0.906      0.9875\n",
            " 0.9725     0.7825     0.9925     0.95       0.9655     0.86453488\n",
            " 0.945      0.91       0.9725     0.7625     0.8935     0.7925\n",
            " 0.9675     0.7725     0.8625     0.9615     0.855      0.9855\n",
            " 0.8375     0.8765     0.6675     0.785     ]\n",
            "best_acc 0.9295989\n",
            "epoch 28, step 1: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 2: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 3: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 4: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 5: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 6: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 7: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 8: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 9: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 10: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 11: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 12: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 13: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 14: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 15: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 16: train_loss 0.022; train_acc 0.990\n",
            "epoch 28, step 17: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 18: train_loss 0.022; train_acc 0.990\n",
            "epoch 28, step 19: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 20: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 21: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 22: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 23: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 24: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 25: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 26: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 27: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 28: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 29: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 30: train_loss 0.021; train_acc 0.993\n",
            "epoch 28, step 31: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 32: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 33: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 34: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 35: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 36: train_loss 0.005; train_acc 1.000\n",
            "epoch 28, step 37: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 38: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 39: train_loss 0.024; train_acc 0.995\n",
            "epoch 28, step 40: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 41: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 42: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 43: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 44: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 45: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 46: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 47: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 48: train_loss 0.013; train_acc 1.000\n",
            "epoch 28, step 49: train_loss 0.021; train_acc 0.990\n",
            "epoch 28, step 50: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 51: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 52: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 53: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 54: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 55: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 56: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 57: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 58: train_loss 0.022; train_acc 0.995\n",
            "epoch 28, step 59: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 60: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 61: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 62: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 63: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 64: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 65: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 66: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 67: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 68: train_loss 0.024; train_acc 0.990\n",
            "epoch 28, step 69: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 70: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 71: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 72: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 73: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 74: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 75: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 76: train_loss 0.018; train_acc 0.998\n",
            "epoch 28, step 77: train_loss 0.011; train_acc 0.995\n",
            "epoch 28, step 78: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 79: train_loss 0.015; train_acc 0.995\n",
            "epoch 28, step 80: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 81: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 82: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 83: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 84: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 85: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 86: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 87: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 88: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 89: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 90: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 91: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 92: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 93: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 94: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 95: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 96: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 97: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 98: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 99: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 100: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 101: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 102: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 103: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 104: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 105: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 106: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 107: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 108: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 109: train_loss 0.020; train_acc 0.993\n",
            "epoch 28, step 110: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 111: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 112: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 113: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 114: train_loss 0.021; train_acc 0.993\n",
            "epoch 28, step 115: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 116: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 117: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 118: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 119: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 120: train_loss 0.020; train_acc 0.993\n",
            "epoch 28, step 121: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 122: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 123: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 124: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 125: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 126: train_loss 0.019; train_acc 0.993\n",
            "epoch 28, step 127: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 128: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 129: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 130: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 131: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 132: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 133: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 134: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 135: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 136: train_loss 0.019; train_acc 0.995\n",
            "epoch 28, step 137: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 138: train_loss 0.019; train_acc 0.995\n",
            "epoch 28, step 139: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 140: train_loss 0.016; train_acc 0.993\n",
            "epoch 28, step 141: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 142: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 143: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 144: train_loss 0.015; train_acc 0.993\n",
            "epoch 28, step 145: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 146: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 147: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 148: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 149: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 150: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 151: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 152: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 153: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 154: train_loss 0.017; train_acc 0.993\n",
            "epoch 28, step 155: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 156: train_loss 0.005; train_acc 1.000\n",
            "epoch 28, step 157: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 158: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 159: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 160: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 161: train_loss 0.008; train_acc 0.995\n",
            "epoch 28, step 162: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 163: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 164: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 165: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 166: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 167: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 168: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 169: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 170: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 171: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 172: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 173: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 174: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 175: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 176: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 177: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 178: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 179: train_loss 0.021; train_acc 0.993\n",
            "epoch 28, step 180: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 181: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 182: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 183: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 184: train_loss 0.012; train_acc 1.000\n",
            "epoch 28, step 185: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 186: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 187: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 188: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 189: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 190: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 191: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 192: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 193: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 194: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 195: train_loss 0.020; train_acc 0.993\n",
            "epoch 28, step 196: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 197: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 198: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 199: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 200: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 201: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 202: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 203: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 204: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 205: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 206: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 207: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 208: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 209: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 210: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 211: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 212: train_loss 0.019; train_acc 0.995\n",
            "epoch 28, step 213: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 214: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 215: train_loss 0.013; train_acc 1.000\n",
            "epoch 28, step 216: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 217: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 218: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 219: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 220: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 221: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 222: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 223: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 224: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 225: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 226: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 227: train_loss 0.020; train_acc 0.993\n",
            "epoch 28, step 228: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 229: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 230: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 231: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 232: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 233: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 234: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 235: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 236: train_loss 0.012; train_acc 1.000\n",
            "epoch 28, step 237: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 238: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 239: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 240: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 241: train_loss 0.005; train_acc 1.000\n",
            "epoch 28, step 242: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 243: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 244: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 245: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 246: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 247: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 248: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 249: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 250: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 251: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 252: train_loss 0.016; train_acc 0.993\n",
            "epoch 28, step 253: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 254: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 255: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 256: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 257: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 258: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 259: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 260: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 261: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 262: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 263: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 264: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 265: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 266: train_loss 0.013; train_acc 1.000\n",
            "epoch 28, step 267: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 268: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 269: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 270: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 271: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 272: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 273: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 274: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 275: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 276: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 277: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 278: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 279: train_loss 0.017; train_acc 0.998\n",
            "epoch 28, step 280: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 281: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 282: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 283: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 284: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 285: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 286: train_loss 0.029; train_acc 0.995\n",
            "epoch 28, step 287: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 288: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 289: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 290: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 291: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 292: train_loss 0.019; train_acc 0.995\n",
            "epoch 28, step 293: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 294: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 295: train_loss 0.004; train_acc 1.000\n",
            "epoch 28, step 296: train_loss 0.015; train_acc 0.995\n",
            "epoch 28, step 297: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 298: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 299: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 300: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 301: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 302: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 303: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 304: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 305: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 306: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 307: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 308: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 309: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 310: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 311: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 312: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 313: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 314: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 315: train_loss 0.015; train_acc 0.995\n",
            "epoch 28, step 316: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 317: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 318: train_loss 0.019; train_acc 0.998\n",
            "epoch 28, step 319: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 320: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 321: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 322: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 323: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 324: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 325: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 326: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 327: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 328: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 329: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 330: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 331: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 332: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 333: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 334: train_loss 0.019; train_acc 0.995\n",
            "epoch 28, step 335: train_loss 0.021; train_acc 0.995\n",
            "epoch 28, step 336: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 337: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 338: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 339: train_loss 0.022; train_acc 0.995\n",
            "epoch 28, step 340: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 341: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 342: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 343: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 344: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 345: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 346: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 347: train_loss 0.018; train_acc 0.998\n",
            "epoch 28, step 348: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 349: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 350: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 351: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 352: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 353: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 354: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 355: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 356: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 357: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 358: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 359: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 360: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 361: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 362: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 363: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 364: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 365: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 366: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 367: train_loss 0.015; train_acc 0.995\n",
            "epoch 28, step 368: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 369: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 370: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 371: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 372: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 373: train_loss 0.022; train_acc 0.993\n",
            "epoch 28, step 374: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 375: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 376: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 377: train_loss 0.019; train_acc 0.993\n",
            "epoch 28, step 378: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 379: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 380: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 381: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 382: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 383: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 384: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 385: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 386: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 387: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 388: train_loss 0.017; train_acc 0.998\n",
            "epoch 28, step 389: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 390: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 391: train_loss 0.017; train_acc 0.998\n",
            "epoch 28, step 392: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 393: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 394: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 395: train_loss 0.005; train_acc 1.000\n",
            "epoch 28, step 396: train_loss 0.016; train_acc 0.993\n",
            "epoch 28, step 397: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 398: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 399: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 400: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 401: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 402: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 403: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 404: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 405: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 406: train_loss 0.016; train_acc 0.998\n",
            "epoch 28, step 407: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 408: train_loss 0.023; train_acc 0.993\n",
            "epoch 28, step 409: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 410: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 411: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 412: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 413: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 414: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 415: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 416: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 417: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 418: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 419: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 420: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 421: train_loss 0.022; train_acc 0.993\n",
            "epoch 28, step 422: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 423: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 424: train_loss 0.013; train_acc 0.995\n",
            "epoch 28, step 425: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 426: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 427: train_loss 0.012; train_acc 1.000\n",
            "epoch 28, step 428: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 429: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 430: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 431: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 432: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 433: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 434: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 435: train_loss 0.017; train_acc 0.995\n",
            "epoch 28, step 436: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 437: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 438: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 439: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 440: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 441: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 442: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 443: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 444: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 445: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 446: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 447: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 448: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 449: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 450: train_loss 0.022; train_acc 0.998\n",
            "epoch 28, step 451: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 452: train_loss 0.012; train_acc 1.000\n",
            "epoch 28, step 453: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 454: train_loss 0.012; train_acc 0.995\n",
            "epoch 28, step 455: train_loss 0.008; train_acc 1.000\n",
            "epoch 28, step 456: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 457: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 458: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 459: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 460: train_loss 0.013; train_acc 0.998\n",
            "epoch 28, step 461: train_loss 0.011; train_acc 1.000\n",
            "epoch 28, step 462: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 463: train_loss 0.011; train_acc 0.998\n",
            "epoch 28, step 464: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 465: train_loss 0.019; train_acc 0.998\n",
            "epoch 28, step 466: train_loss 0.008; train_acc 0.998\n",
            "epoch 28, step 467: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 468: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 469: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 470: train_loss 0.020; train_acc 0.990\n",
            "epoch 28, step 471: train_loss 0.012; train_acc 1.000\n",
            "epoch 28, step 472: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 473: train_loss 0.014; train_acc 0.995\n",
            "epoch 28, step 474: train_loss 0.009; train_acc 0.998\n",
            "epoch 28, step 475: train_loss 0.009; train_acc 1.000\n",
            "epoch 28, step 476: train_loss 0.015; train_acc 0.998\n",
            "epoch 28, step 477: train_loss 0.018; train_acc 0.995\n",
            "epoch 28, step 478: train_loss 0.016; train_acc 0.995\n",
            "epoch 28, step 479: train_loss 0.020; train_acc 0.995\n",
            "epoch 28, step 480: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 481: train_loss 0.015; train_acc 0.995\n",
            "epoch 28, step 482: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 483: train_loss 0.006; train_acc 1.000\n",
            "epoch 28, step 484: train_loss 0.010; train_acc 1.000\n",
            "epoch 28, step 485: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 486: train_loss 0.012; train_acc 0.998\n",
            "epoch 28, step 487: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 488: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 489: train_loss 0.014; train_acc 0.998\n",
            "epoch 28, step 490: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 491: train_loss 0.010; train_acc 0.998\n",
            "epoch 28, step 492: train_loss 0.007; train_acc 1.000\n",
            "epoch 28, step 493: train_loss 0.029; train_acc 0.983\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.89462761627907\n",
            "val overall acc. :  0.92281204\n",
            "val loss :  0.29491774329254705\n",
            "[0.9995     0.89       0.98       0.8225     0.9165     0.953\n",
            " 0.8425     0.987      0.9835     0.9725     0.6825     0.94\n",
            " 0.88895349 0.935      0.97151163 0.935      0.9315     0.987\n",
            " 0.9725     0.7825     0.9725     0.9475     0.9595     0.83313953\n",
            " 0.945      0.9055     0.935      0.81       0.893      0.77\n",
            " 0.9695     0.7575     0.8075     0.9605     0.8475     0.986\n",
            " 0.818      0.854      0.68       0.76      ]\n",
            "best_acc 0.9295989\n",
            "epoch 29, step 1: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 2: train_loss 0.015; train_acc 0.995\n",
            "epoch 29, step 3: train_loss 0.016; train_acc 0.998\n",
            "epoch 29, step 4: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 5: train_loss 0.015; train_acc 0.995\n",
            "epoch 29, step 6: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 7: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 8: train_loss 0.012; train_acc 1.000\n",
            "epoch 29, step 9: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 10: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 11: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 12: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 13: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 14: train_loss 0.013; train_acc 1.000\n",
            "epoch 29, step 15: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 16: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 17: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 18: train_loss 0.029; train_acc 0.995\n",
            "epoch 29, step 19: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 20: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 21: train_loss 0.009; train_acc 0.998\n",
            "epoch 29, step 22: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 23: train_loss 0.023; train_acc 0.993\n",
            "epoch 29, step 24: train_loss 0.014; train_acc 1.000\n",
            "epoch 29, step 25: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 26: train_loss 0.013; train_acc 0.995\n",
            "epoch 29, step 27: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 28: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 29: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 30: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 31: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 32: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 33: train_loss 0.017; train_acc 0.998\n",
            "epoch 29, step 34: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 35: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 36: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 37: train_loss 0.012; train_acc 0.995\n",
            "epoch 29, step 38: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 39: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 40: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 41: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 42: train_loss 0.015; train_acc 0.995\n",
            "epoch 29, step 43: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 44: train_loss 0.018; train_acc 0.995\n",
            "epoch 29, step 45: train_loss 0.005; train_acc 1.000\n",
            "epoch 29, step 46: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 47: train_loss 0.016; train_acc 0.995\n",
            "epoch 29, step 48: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 49: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 50: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 51: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 52: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 53: train_loss 0.015; train_acc 0.998\n",
            "epoch 29, step 54: train_loss 0.008; train_acc 0.998\n",
            "epoch 29, step 55: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 56: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 57: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 58: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 59: train_loss 0.020; train_acc 0.998\n",
            "epoch 29, step 60: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 61: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 62: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 63: train_loss 0.017; train_acc 0.995\n",
            "epoch 29, step 64: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 65: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 66: train_loss 0.020; train_acc 0.993\n",
            "epoch 29, step 67: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 68: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 69: train_loss 0.012; train_acc 1.000\n",
            "epoch 29, step 70: train_loss 0.018; train_acc 0.995\n",
            "epoch 29, step 71: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 72: train_loss 0.019; train_acc 0.993\n",
            "epoch 29, step 73: train_loss 0.008; train_acc 0.998\n",
            "epoch 29, step 74: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 75: train_loss 0.013; train_acc 0.995\n",
            "epoch 29, step 76: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 77: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 78: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 79: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 80: train_loss 0.018; train_acc 0.998\n",
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            "epoch 29, step 381: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 382: train_loss 0.012; train_acc 1.000\n",
            "epoch 29, step 383: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 384: train_loss 0.021; train_acc 0.993\n",
            "epoch 29, step 385: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 386: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 387: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 388: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 389: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 390: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 391: train_loss 0.019; train_acc 0.987\n",
            "epoch 29, step 392: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 393: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 394: train_loss 0.017; train_acc 0.998\n",
            "epoch 29, step 395: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 396: train_loss 0.016; train_acc 0.995\n",
            "epoch 29, step 397: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 398: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 399: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 400: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 401: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 402: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 403: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 404: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 405: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 406: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 407: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 408: train_loss 0.012; train_acc 0.995\n",
            "epoch 29, step 409: train_loss 0.016; train_acc 0.995\n",
            "epoch 29, step 410: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 411: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 412: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 413: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 414: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 415: train_loss 0.015; train_acc 0.998\n",
            "epoch 29, step 416: train_loss 0.016; train_acc 0.995\n",
            "epoch 29, step 417: train_loss 0.017; train_acc 0.995\n",
            "epoch 29, step 418: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 419: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 420: train_loss 0.015; train_acc 0.998\n",
            "epoch 29, step 421: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 422: train_loss 0.015; train_acc 0.998\n",
            "epoch 29, step 423: train_loss 0.015; train_acc 0.998\n",
            "epoch 29, step 424: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 425: train_loss 0.021; train_acc 0.993\n",
            "epoch 29, step 426: train_loss 0.018; train_acc 0.993\n",
            "epoch 29, step 427: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 428: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 429: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 430: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 431: train_loss 0.015; train_acc 0.995\n",
            "epoch 29, step 432: train_loss 0.014; train_acc 0.998\n",
            "epoch 29, step 433: train_loss 0.009; train_acc 0.998\n",
            "epoch 29, step 434: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 435: train_loss 0.020; train_acc 0.993\n",
            "epoch 29, step 436: train_loss 0.009; train_acc 0.998\n",
            "epoch 29, step 437: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 438: train_loss 0.022; train_acc 0.995\n",
            "epoch 29, step 439: train_loss 0.009; train_acc 0.998\n",
            "epoch 29, step 440: train_loss 0.018; train_acc 0.995\n",
            "epoch 29, step 441: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 442: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 443: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 444: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 445: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 446: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 447: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 448: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 449: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 450: train_loss 0.015; train_acc 0.995\n",
            "epoch 29, step 451: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 452: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 453: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 454: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 455: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 456: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 457: train_loss 0.013; train_acc 0.998\n",
            "epoch 29, step 458: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 459: train_loss 0.019; train_acc 0.993\n",
            "epoch 29, step 460: train_loss 0.012; train_acc 1.000\n",
            "epoch 29, step 461: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 462: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 463: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 464: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 465: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 466: train_loss 0.021; train_acc 0.998\n",
            "epoch 29, step 467: train_loss 0.006; train_acc 1.000\n",
            "epoch 29, step 468: train_loss 0.023; train_acc 0.998\n",
            "epoch 29, step 469: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 470: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 471: train_loss 0.014; train_acc 0.995\n",
            "epoch 29, step 472: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 473: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 474: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 475: train_loss 0.021; train_acc 0.995\n",
            "epoch 29, step 476: train_loss 0.017; train_acc 0.995\n",
            "epoch 29, step 477: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 478: train_loss 0.010; train_acc 0.995\n",
            "epoch 29, step 479: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 480: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 481: train_loss 0.011; train_acc 1.000\n",
            "epoch 29, step 482: train_loss 0.010; train_acc 1.000\n",
            "epoch 29, step 483: train_loss 0.008; train_acc 1.000\n",
            "epoch 29, step 484: train_loss 0.009; train_acc 1.000\n",
            "epoch 29, step 485: train_loss 0.017; train_acc 0.995\n",
            "epoch 29, step 486: train_loss 0.013; train_acc 1.000\n",
            "epoch 29, step 487: train_loss 0.011; train_acc 0.998\n",
            "epoch 29, step 488: train_loss 0.012; train_acc 0.998\n",
            "epoch 29, step 489: train_loss 0.007; train_acc 1.000\n",
            "epoch 29, step 490: train_loss 0.017; train_acc 0.998\n",
            "epoch 29, step 491: train_loss 0.008; train_acc 0.998\n",
            "epoch 29, step 492: train_loss 0.010; train_acc 0.998\n",
            "epoch 29, step 493: train_loss 0.044; train_acc 0.983\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.8952159883720932\n",
            "val overall acc. :  0.92637765\n",
            "val loss :  0.28052805939073405\n",
            "[1.         0.865      0.98       0.8225     0.9235     0.952\n",
            " 0.8625     0.988      0.9895     0.9775     0.71       0.9425\n",
            " 0.89709302 0.93       0.97209302 0.91       0.919      0.9865\n",
            " 0.97       0.7825     0.98       0.947      0.9675     0.83895349\n",
            " 0.9375     0.907      0.9585     0.79       0.909      0.7725\n",
            " 0.973      0.7525     0.8225     0.9665     0.82       0.986\n",
            " 0.8415     0.8735     0.635      0.75      ]\n",
            "best_acc 0.9295989\n",
            "epoch 30, step 1: train_loss 0.020; train_acc 0.995\n",
            "epoch 30, step 2: train_loss 0.018; train_acc 0.995\n",
            "epoch 30, step 3: train_loss 0.013; train_acc 0.998\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}