View_GCN.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.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": [
            "Downloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /root/.cache/torch/checkpoints/resnet18-5c106cde.pth\n",
            "100% 44.7M/44.7M [00:00<00:00, 155MB/s]\n",
            "num_train_files: 196860\n",
            "num_val_files: 49360\n",
            "epoch 1, step 1: train_loss 3.829; train_acc 0.018\n",
            "epoch 1, step 2: train_loss 3.740; train_acc 0.037\n",
            "epoch 1, step 3: train_loss 3.593; train_acc 0.093\n",
            "epoch 1, step 4: train_loss 3.478; train_acc 0.147\n",
            "epoch 1, step 5: train_loss 3.412; train_acc 0.147\n",
            "epoch 1, step 6: train_loss 3.195; train_acc 0.207\n",
            "epoch 1, step 7: train_loss 3.141; train_acc 0.222\n",
            "epoch 1, step 8: train_loss 3.130; train_acc 0.245\n",
            "epoch 1, step 9: train_loss 2.943; train_acc 0.260\n",
            "epoch 1, step 10: train_loss 2.861; train_acc 0.302\n",
            "epoch 1, step 11: train_loss 2.873; train_acc 0.340\n",
            "epoch 1, step 12: train_loss 2.536; train_acc 0.415\n",
            "epoch 1, step 13: train_loss 2.739; train_acc 0.325\n",
            "epoch 1, step 14: train_loss 2.458; train_acc 0.403\n",
            "epoch 1, step 15: train_loss 2.507; train_acc 0.352\n",
            "epoch 1, step 16: train_loss 2.417; train_acc 0.397\n",
            "epoch 1, step 17: train_loss 2.356; train_acc 0.417\n",
            "epoch 1, step 18: train_loss 2.160; train_acc 0.477\n",
            "epoch 1, step 19: train_loss 2.216; train_acc 0.430\n",
            "epoch 1, step 20: train_loss 2.169; train_acc 0.438\n",
            "epoch 1, step 21: train_loss 2.106; train_acc 0.492\n",
            "epoch 1, step 22: train_loss 1.912; train_acc 0.515\n",
            "epoch 1, step 23: train_loss 1.931; train_acc 0.502\n",
            "epoch 1, step 24: train_loss 1.823; train_acc 0.562\n",
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            "epoch 1, step 29: train_loss 1.701; train_acc 0.515\n",
            "epoch 1, step 30: train_loss 1.631; train_acc 0.562\n",
            "epoch 1, step 31: train_loss 1.724; train_acc 0.535\n",
            "epoch 1, step 32: train_loss 1.673; train_acc 0.550\n",
            "epoch 1, step 33: train_loss 1.541; train_acc 0.592\n",
            "epoch 1, step 34: train_loss 1.597; train_acc 0.558\n",
            "epoch 1, step 35: train_loss 1.415; train_acc 0.610\n",
            "epoch 1, step 36: train_loss 1.491; train_acc 0.587\n",
            "epoch 1, step 37: train_loss 1.534; train_acc 0.585\n",
            "epoch 1, step 38: train_loss 1.405; train_acc 0.610\n",
            "epoch 1, step 39: train_loss 1.405; train_acc 0.625\n",
            "epoch 1, step 40: train_loss 1.407; train_acc 0.605\n",
            "epoch 1, step 41: train_loss 1.322; train_acc 0.615\n",
            "epoch 1, step 42: train_loss 1.354; train_acc 0.615\n",
            "epoch 1, step 43: train_loss 1.311; train_acc 0.665\n",
            "epoch 1, step 44: train_loss 1.444; train_acc 0.600\n",
            "epoch 1, step 45: train_loss 1.351; train_acc 0.642\n",
            "epoch 1, step 46: train_loss 1.257; train_acc 0.615\n",
            "epoch 1, step 47: train_loss 1.287; train_acc 0.632\n",
            "epoch 1, step 48: train_loss 1.319; train_acc 0.627\n",
            "epoch 1, step 49: train_loss 1.176; train_acc 0.673\n",
            "epoch 1, step 50: train_loss 1.273; train_acc 0.632\n",
            "epoch 1, step 51: train_loss 1.258; train_acc 0.635\n",
            "epoch 1, step 52: train_loss 1.234; train_acc 0.632\n",
            "epoch 1, step 53: train_loss 1.225; train_acc 0.657\n",
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            "epoch 1, step 351: train_loss 0.440; train_acc 0.868\n",
            "epoch 1, step 352: train_loss 0.394; train_acc 0.887\n",
            "epoch 1, step 353: train_loss 0.470; train_acc 0.860\n",
            "epoch 1, step 354: train_loss 0.424; train_acc 0.882\n",
            "epoch 1, step 355: train_loss 0.369; train_acc 0.868\n",
            "epoch 1, step 356: train_loss 0.347; train_acc 0.890\n",
            "epoch 1, step 357: train_loss 0.397; train_acc 0.882\n",
            "epoch 1, step 358: train_loss 0.418; train_acc 0.885\n",
            "epoch 1, step 359: train_loss 0.444; train_acc 0.877\n",
            "epoch 1, step 360: train_loss 0.443; train_acc 0.855\n",
            "epoch 1, step 361: train_loss 0.448; train_acc 0.868\n",
            "epoch 1, step 362: train_loss 0.475; train_acc 0.860\n",
            "epoch 1, step 363: train_loss 0.437; train_acc 0.850\n",
            "epoch 1, step 364: train_loss 0.414; train_acc 0.877\n",
            "epoch 1, step 365: train_loss 0.382; train_acc 0.868\n",
            "epoch 1, step 366: train_loss 0.400; train_acc 0.882\n",
            "epoch 1, step 367: train_loss 0.425; train_acc 0.852\n",
            "epoch 1, step 368: train_loss 0.504; train_acc 0.835\n",
            "epoch 1, step 369: train_loss 0.417; train_acc 0.880\n",
            "epoch 1, step 370: train_loss 0.401; train_acc 0.870\n",
            "epoch 1, step 371: train_loss 0.480; train_acc 0.868\n",
            "epoch 1, step 372: train_loss 0.404; train_acc 0.873\n",
            "epoch 1, step 373: train_loss 0.402; train_acc 0.880\n",
            "epoch 1, step 374: train_loss 0.405; train_acc 0.880\n",
            "epoch 1, step 375: train_loss 0.492; train_acc 0.805\n",
            "epoch 1, step 376: train_loss 0.384; train_acc 0.897\n",
            "epoch 1, step 377: train_loss 0.386; train_acc 0.862\n",
            "epoch 1, step 378: train_loss 0.502; train_acc 0.825\n",
            "epoch 1, step 379: train_loss 0.375; train_acc 0.873\n",
            "epoch 1, step 380: train_loss 0.331; train_acc 0.895\n",
            "epoch 1, step 381: train_loss 0.382; train_acc 0.873\n",
            "epoch 1, step 382: train_loss 0.410; train_acc 0.855\n",
            "epoch 1, step 383: train_loss 0.378; train_acc 0.880\n",
            "epoch 1, step 384: train_loss 0.435; train_acc 0.862\n",
            "epoch 1, step 385: train_loss 0.390; train_acc 0.877\n",
            "epoch 1, step 386: train_loss 0.478; train_acc 0.860\n",
            "epoch 1, step 387: train_loss 0.334; train_acc 0.895\n",
            "epoch 1, step 388: train_loss 0.440; train_acc 0.862\n",
            "epoch 1, step 389: train_loss 0.381; train_acc 0.882\n",
            "epoch 1, step 390: train_loss 0.427; train_acc 0.868\n",
            "epoch 1, step 391: train_loss 0.395; train_acc 0.882\n",
            "epoch 1, step 392: train_loss 0.351; train_acc 0.885\n",
            "epoch 1, step 393: train_loss 0.448; train_acc 0.873\n",
            "epoch 1, step 394: train_loss 0.443; train_acc 0.862\n",
            "epoch 1, step 395: train_loss 0.393; train_acc 0.865\n",
            "epoch 1, step 396: train_loss 0.336; train_acc 0.897\n",
            "epoch 1, step 397: train_loss 0.351; train_acc 0.895\n",
            "epoch 1, step 398: train_loss 0.426; train_acc 0.868\n",
            "epoch 1, step 399: train_loss 0.367; train_acc 0.890\n",
            "epoch 1, step 400: train_loss 0.458; train_acc 0.862\n",
            "epoch 1, step 401: train_loss 0.394; train_acc 0.890\n",
            "epoch 1, step 402: train_loss 0.428; train_acc 0.880\n",
            "epoch 1, step 403: train_loss 0.385; train_acc 0.882\n",
            "epoch 1, step 404: train_loss 0.450; train_acc 0.860\n",
            "epoch 1, step 405: train_loss 0.378; train_acc 0.882\n",
            "epoch 1, step 406: train_loss 0.378; train_acc 0.875\n",
            "epoch 1, step 407: train_loss 0.329; train_acc 0.905\n",
            "epoch 1, step 408: train_loss 0.400; train_acc 0.875\n",
            "epoch 1, step 409: train_loss 0.361; train_acc 0.902\n",
            "epoch 1, step 410: train_loss 0.384; train_acc 0.885\n",
            "epoch 1, step 411: train_loss 0.507; train_acc 0.847\n",
            "epoch 1, step 412: train_loss 0.359; train_acc 0.880\n",
            "epoch 1, step 413: train_loss 0.361; train_acc 0.910\n",
            "epoch 1, step 414: train_loss 0.361; train_acc 0.880\n",
            "epoch 1, step 415: train_loss 0.387; train_acc 0.887\n",
            "epoch 1, step 416: train_loss 0.414; train_acc 0.877\n",
            "epoch 1, step 417: train_loss 0.365; train_acc 0.900\n",
            "epoch 1, step 418: train_loss 0.370; train_acc 0.887\n",
            "epoch 1, step 419: train_loss 0.398; train_acc 0.887\n",
            "epoch 1, step 420: train_loss 0.433; train_acc 0.865\n",
            "epoch 1, step 421: train_loss 0.418; train_acc 0.870\n",
            "epoch 1, step 422: train_loss 0.353; train_acc 0.892\n",
            "epoch 1, step 423: train_loss 0.442; train_acc 0.865\n",
            "epoch 1, step 424: train_loss 0.395; train_acc 0.868\n",
            "epoch 1, step 425: train_loss 0.412; train_acc 0.873\n",
            "epoch 1, step 426: train_loss 0.431; train_acc 0.862\n",
            "epoch 1, step 427: train_loss 0.378; train_acc 0.875\n",
            "epoch 1, step 428: train_loss 0.409; train_acc 0.865\n",
            "epoch 1, step 429: train_loss 0.407; train_acc 0.887\n",
            "epoch 1, step 430: train_loss 0.353; train_acc 0.885\n",
            "epoch 1, step 431: train_loss 0.382; train_acc 0.910\n",
            "epoch 1, step 432: train_loss 0.389; train_acc 0.887\n",
            "epoch 1, step 433: train_loss 0.339; train_acc 0.890\n",
            "epoch 1, step 434: train_loss 0.363; train_acc 0.890\n",
            "epoch 1, step 435: train_loss 0.376; train_acc 0.868\n",
            "epoch 1, step 436: train_loss 0.429; train_acc 0.877\n",
            "epoch 1, step 437: train_loss 0.386; train_acc 0.882\n",
            "epoch 1, step 438: train_loss 0.359; train_acc 0.902\n",
            "epoch 1, step 439: train_loss 0.396; train_acc 0.885\n",
            "epoch 1, step 440: train_loss 0.318; train_acc 0.890\n",
            "epoch 1, step 441: train_loss 0.415; train_acc 0.880\n",
            "epoch 1, step 442: train_loss 0.299; train_acc 0.922\n",
            "epoch 1, step 443: train_loss 0.448; train_acc 0.855\n",
            "epoch 1, step 444: train_loss 0.391; train_acc 0.877\n",
            "epoch 1, step 445: train_loss 0.369; train_acc 0.890\n",
            "epoch 1, step 446: train_loss 0.476; train_acc 0.855\n",
            "epoch 1, step 447: train_loss 0.401; train_acc 0.885\n",
            "epoch 1, step 448: train_loss 0.364; train_acc 0.870\n",
            "epoch 1, step 449: train_loss 0.310; train_acc 0.902\n",
            "epoch 1, step 450: train_loss 0.351; train_acc 0.890\n",
            "epoch 1, step 451: train_loss 0.326; train_acc 0.890\n",
            "epoch 1, step 452: train_loss 0.417; train_acc 0.887\n",
            "epoch 1, step 453: train_loss 0.390; train_acc 0.877\n",
            "epoch 1, step 454: train_loss 0.452; train_acc 0.850\n",
            "epoch 1, step 455: train_loss 0.362; train_acc 0.895\n",
            "epoch 1, step 456: train_loss 0.466; train_acc 0.855\n",
            "epoch 1, step 457: train_loss 0.367; train_acc 0.880\n",
            "epoch 1, step 458: train_loss 0.418; train_acc 0.870\n",
            "epoch 1, step 459: train_loss 0.382; train_acc 0.895\n",
            "epoch 1, step 460: train_loss 0.340; train_acc 0.902\n",
            "epoch 1, step 461: train_loss 0.448; train_acc 0.865\n",
            "epoch 1, step 462: train_loss 0.331; train_acc 0.897\n",
            "epoch 1, step 463: train_loss 0.457; train_acc 0.865\n",
            "epoch 1, step 464: train_loss 0.436; train_acc 0.862\n",
            "epoch 1, step 465: train_loss 0.369; train_acc 0.895\n",
            "epoch 1, step 466: train_loss 0.461; train_acc 0.852\n",
            "epoch 1, step 467: train_loss 0.436; train_acc 0.877\n",
            "epoch 1, step 468: train_loss 0.457; train_acc 0.852\n",
            "epoch 1, step 469: train_loss 0.322; train_acc 0.887\n",
            "epoch 1, step 470: train_loss 0.423; train_acc 0.860\n",
            "epoch 1, step 471: train_loss 0.366; train_acc 0.887\n",
            "epoch 1, step 472: train_loss 0.427; train_acc 0.875\n",
            "epoch 1, step 473: train_loss 0.373; train_acc 0.882\n",
            "epoch 1, step 474: train_loss 0.405; train_acc 0.880\n",
            "epoch 1, step 475: train_loss 0.385; train_acc 0.880\n",
            "epoch 1, step 476: train_loss 0.385; train_acc 0.877\n",
            "epoch 1, step 477: train_loss 0.341; train_acc 0.900\n",
            "epoch 1, step 478: train_loss 0.359; train_acc 0.905\n",
            "epoch 1, step 479: train_loss 0.412; train_acc 0.857\n",
            "epoch 1, step 480: train_loss 0.424; train_acc 0.868\n",
            "epoch 1, step 481: train_loss 0.369; train_acc 0.885\n",
            "epoch 1, step 482: train_loss 0.405; train_acc 0.870\n",
            "epoch 1, step 483: train_loss 0.300; train_acc 0.915\n",
            "epoch 1, step 484: train_loss 0.423; train_acc 0.857\n",
            "epoch 1, step 485: train_loss 0.365; train_acc 0.892\n",
            "epoch 1, step 486: train_loss 0.339; train_acc 0.882\n",
            "epoch 1, step 487: train_loss 0.372; train_acc 0.887\n",
            "epoch 1, step 488: train_loss 0.402; train_acc 0.880\n",
            "epoch 1, step 489: train_loss 0.370; train_acc 0.877\n",
            "epoch 1, step 490: train_loss 0.389; train_acc 0.885\n",
            "epoch 1, step 491: train_loss 0.347; train_acc 0.892\n",
            "epoch 1, step 492: train_loss 0.323; train_acc 0.915\n",
            "epoch 1, step 493: train_loss 0.357; train_acc 0.900\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.6411281976744185\n",
            "val overall acc. :  0.6598258\n",
            "val loss :  1.246913106233302\n",
            "[0.9925     0.759      0.9445     0.655      0.8315     0.5665\n",
            " 0.4475     0.9165     0.9685     0.87       0.2275     0.85\n",
            " 0.75232558 0.8875     0.91627907 0.98       0.7375     0.683\n",
            " 0.835      0.56       0.7375     0.376      0.703      0.36802326\n",
            " 0.5775     0.3435     0.485      0.405      0.6755     0.6325\n",
            " 0.796      0.445      0.515      0.571      0.5675     0.749\n",
            " 0.207      0.433      0.1225     0.555     ]\n",
            "best_acc 0.6598258\n",
            "epoch 2, step 1: train_loss 0.374; train_acc 0.885\n",
            "epoch 2, step 2: train_loss 0.297; train_acc 0.902\n",
            "epoch 2, step 3: train_loss 0.389; train_acc 0.885\n",
            "epoch 2, step 4: train_loss 0.361; train_acc 0.880\n",
            "epoch 2, step 5: train_loss 0.341; train_acc 0.900\n",
            "epoch 2, step 6: train_loss 0.334; train_acc 0.900\n",
            "epoch 2, step 7: train_loss 0.384; train_acc 0.870\n",
            "epoch 2, step 8: train_loss 0.297; train_acc 0.920\n",
            "epoch 2, step 9: train_loss 0.362; train_acc 0.885\n",
            "epoch 2, step 10: train_loss 0.353; train_acc 0.880\n",
            "epoch 2, step 11: train_loss 0.342; train_acc 0.880\n",
            "epoch 2, step 12: train_loss 0.315; train_acc 0.907\n",
            "epoch 2, step 13: train_loss 0.356; train_acc 0.887\n",
            "epoch 2, step 14: train_loss 0.339; train_acc 0.895\n",
            "epoch 2, step 15: train_loss 0.389; train_acc 0.880\n",
            "epoch 2, step 16: train_loss 0.367; train_acc 0.895\n",
            "epoch 2, step 17: train_loss 0.409; train_acc 0.877\n",
            "epoch 2, step 18: train_loss 0.260; train_acc 0.920\n",
            "epoch 2, step 19: train_loss 0.335; train_acc 0.895\n",
            "epoch 2, step 20: train_loss 0.390; train_acc 0.880\n",
            "epoch 2, step 21: train_loss 0.387; train_acc 0.887\n",
            "epoch 2, step 22: train_loss 0.323; train_acc 0.895\n",
            "epoch 2, step 23: train_loss 0.379; train_acc 0.890\n",
            "epoch 2, step 24: train_loss 0.330; train_acc 0.897\n",
            "epoch 2, step 25: train_loss 0.349; train_acc 0.892\n",
            "epoch 2, step 26: train_loss 0.331; train_acc 0.895\n",
            "epoch 2, step 27: train_loss 0.376; train_acc 0.895\n",
            "epoch 2, step 28: train_loss 0.345; train_acc 0.902\n",
            "epoch 2, step 29: train_loss 0.314; train_acc 0.895\n",
            "epoch 2, step 30: train_loss 0.298; train_acc 0.915\n",
            "epoch 2, step 31: train_loss 0.343; train_acc 0.890\n",
            "epoch 2, step 32: train_loss 0.265; train_acc 0.915\n",
            "epoch 2, step 33: train_loss 0.304; train_acc 0.917\n",
            "epoch 2, step 34: train_loss 0.352; train_acc 0.895\n",
            "epoch 2, step 35: train_loss 0.312; train_acc 0.907\n",
            "epoch 2, step 36: train_loss 0.315; train_acc 0.912\n",
            "epoch 2, step 37: train_loss 0.336; train_acc 0.882\n",
            "epoch 2, step 38: train_loss 0.320; train_acc 0.895\n",
            "epoch 2, step 39: train_loss 0.312; train_acc 0.905\n",
            "epoch 2, step 40: train_loss 0.289; train_acc 0.910\n",
            "epoch 2, step 41: train_loss 0.344; train_acc 0.897\n",
            "epoch 2, step 42: train_loss 0.288; train_acc 0.910\n",
            "epoch 2, step 43: train_loss 0.249; train_acc 0.927\n",
            "epoch 2, step 44: train_loss 0.363; train_acc 0.882\n",
            "epoch 2, step 45: train_loss 0.331; train_acc 0.907\n",
            "epoch 2, step 46: train_loss 0.283; train_acc 0.925\n",
            "epoch 2, step 47: train_loss 0.304; train_acc 0.915\n",
            "epoch 2, step 48: train_loss 0.383; train_acc 0.880\n",
            "epoch 2, step 49: train_loss 0.351; train_acc 0.897\n",
            "epoch 2, step 50: train_loss 0.312; train_acc 0.910\n",
            "epoch 2, step 51: train_loss 0.282; train_acc 0.907\n",
            "epoch 2, step 52: train_loss 0.362; train_acc 0.885\n",
            "epoch 2, step 53: train_loss 0.267; train_acc 0.920\n",
            "epoch 2, step 54: train_loss 0.409; train_acc 0.860\n",
            "epoch 2, step 55: train_loss 0.320; train_acc 0.897\n",
            "epoch 2, step 56: train_loss 0.327; train_acc 0.897\n",
            "epoch 2, step 57: train_loss 0.291; train_acc 0.905\n",
            "epoch 2, step 58: train_loss 0.292; train_acc 0.927\n",
            "epoch 2, step 59: train_loss 0.337; train_acc 0.885\n",
            "epoch 2, step 60: train_loss 0.344; train_acc 0.897\n",
            "epoch 2, step 61: train_loss 0.308; train_acc 0.907\n",
            "epoch 2, step 62: train_loss 0.299; train_acc 0.905\n",
            "epoch 2, step 63: train_loss 0.323; train_acc 0.907\n",
            "epoch 2, step 64: train_loss 0.331; train_acc 0.882\n",
            "epoch 2, step 65: train_loss 0.328; train_acc 0.890\n",
            "epoch 2, step 66: train_loss 0.294; train_acc 0.915\n",
            "epoch 2, step 67: train_loss 0.243; train_acc 0.917\n",
            "epoch 2, step 68: train_loss 0.261; train_acc 0.920\n",
            "epoch 2, step 69: train_loss 0.322; train_acc 0.890\n",
            "epoch 2, step 70: train_loss 0.291; train_acc 0.920\n",
            "epoch 2, step 71: train_loss 0.336; train_acc 0.895\n",
            "epoch 2, step 72: train_loss 0.294; train_acc 0.910\n",
            "epoch 2, step 73: train_loss 0.357; train_acc 0.887\n",
            "epoch 2, step 74: train_loss 0.370; train_acc 0.887\n",
            "epoch 2, step 75: train_loss 0.368; train_acc 0.897\n",
            "epoch 2, step 76: train_loss 0.339; train_acc 0.885\n",
            "epoch 2, step 77: train_loss 0.272; train_acc 0.912\n",
            "epoch 2, step 78: train_loss 0.321; train_acc 0.900\n",
            "epoch 2, step 79: train_loss 0.306; train_acc 0.900\n",
            "epoch 2, step 80: train_loss 0.360; train_acc 0.892\n",
            "epoch 2, step 81: train_loss 0.343; train_acc 0.905\n",
            "epoch 2, step 82: train_loss 0.273; train_acc 0.907\n",
            "epoch 2, step 83: train_loss 0.346; train_acc 0.877\n",
            "epoch 2, step 84: train_loss 0.356; train_acc 0.880\n",
            "epoch 2, step 85: train_loss 0.314; train_acc 0.910\n",
            "epoch 2, step 86: train_loss 0.337; train_acc 0.887\n",
            "epoch 2, step 87: train_loss 0.301; train_acc 0.910\n",
            "epoch 2, step 88: train_loss 0.324; train_acc 0.905\n",
            "epoch 2, step 89: train_loss 0.259; train_acc 0.915\n",
            "epoch 2, step 90: train_loss 0.360; train_acc 0.880\n",
            "epoch 2, step 91: train_loss 0.266; train_acc 0.910\n",
            "epoch 2, step 92: train_loss 0.276; train_acc 0.907\n",
            "epoch 2, step 93: train_loss 0.404; train_acc 0.865\n",
            "epoch 2, step 94: train_loss 0.337; train_acc 0.890\n",
            "epoch 2, step 95: train_loss 0.305; train_acc 0.912\n",
            "epoch 2, step 96: train_loss 0.270; train_acc 0.922\n",
            "epoch 2, step 97: train_loss 0.321; train_acc 0.900\n",
            "epoch 2, step 98: train_loss 0.311; train_acc 0.907\n",
            "epoch 2, step 99: train_loss 0.336; train_acc 0.892\n",
            "epoch 2, step 100: train_loss 0.331; train_acc 0.907\n",
            "epoch 2, step 101: train_loss 0.327; train_acc 0.895\n",
            "epoch 2, step 102: train_loss 0.280; train_acc 0.915\n",
            "epoch 2, step 103: train_loss 0.282; train_acc 0.917\n",
            "epoch 2, step 104: train_loss 0.273; train_acc 0.925\n",
            "epoch 2, step 105: train_loss 0.324; train_acc 0.907\n",
            "epoch 2, step 106: train_loss 0.335; train_acc 0.902\n",
            "epoch 2, step 107: train_loss 0.338; train_acc 0.885\n",
            "epoch 2, step 108: train_loss 0.291; train_acc 0.927\n",
            "epoch 2, step 109: train_loss 0.328; train_acc 0.915\n",
            "epoch 2, step 110: train_loss 0.309; train_acc 0.907\n",
            "epoch 2, step 111: train_loss 0.375; train_acc 0.880\n",
            "epoch 2, step 112: train_loss 0.316; train_acc 0.905\n",
            "epoch 2, step 113: train_loss 0.240; train_acc 0.938\n",
            "epoch 2, step 114: train_loss 0.379; train_acc 0.887\n",
            "epoch 2, step 115: train_loss 0.321; train_acc 0.907\n",
            "epoch 2, step 116: train_loss 0.301; train_acc 0.910\n",
            "epoch 2, step 117: train_loss 0.259; train_acc 0.927\n",
            "epoch 2, step 118: train_loss 0.331; train_acc 0.887\n",
            "epoch 2, step 119: train_loss 0.268; train_acc 0.907\n",
            "epoch 2, step 120: train_loss 0.288; train_acc 0.912\n",
            "epoch 2, step 121: train_loss 0.324; train_acc 0.900\n",
            "epoch 2, step 122: train_loss 0.288; train_acc 0.920\n",
            "epoch 2, step 123: train_loss 0.274; train_acc 0.910\n",
            "epoch 2, step 124: train_loss 0.288; train_acc 0.900\n",
            "epoch 2, step 125: train_loss 0.285; train_acc 0.915\n",
            "epoch 2, step 126: train_loss 0.280; train_acc 0.915\n",
            "epoch 2, step 127: train_loss 0.314; train_acc 0.905\n",
            "epoch 2, step 128: train_loss 0.249; train_acc 0.942\n",
            "epoch 2, step 129: train_loss 0.305; train_acc 0.915\n",
            "epoch 2, step 130: train_loss 0.324; train_acc 0.900\n",
            "epoch 2, step 131: train_loss 0.368; train_acc 0.885\n",
            "epoch 2, step 132: train_loss 0.272; train_acc 0.917\n",
            "epoch 2, step 133: train_loss 0.272; train_acc 0.915\n",
            "epoch 2, step 134: train_loss 0.243; train_acc 0.925\n",
            "epoch 2, step 135: train_loss 0.378; train_acc 0.890\n",
            "epoch 2, step 136: train_loss 0.306; train_acc 0.922\n",
            "epoch 2, step 137: train_loss 0.224; train_acc 0.920\n",
            "epoch 2, step 138: train_loss 0.259; train_acc 0.922\n",
            "epoch 2, step 139: train_loss 0.299; train_acc 0.910\n",
            "epoch 2, step 140: train_loss 0.304; train_acc 0.897\n",
            "epoch 2, step 141: train_loss 0.309; train_acc 0.910\n",
            "epoch 2, step 142: train_loss 0.341; train_acc 0.887\n",
            "epoch 2, step 143: train_loss 0.295; train_acc 0.910\n",
            "epoch 2, step 144: train_loss 0.245; train_acc 0.938\n",
            "epoch 2, step 145: train_loss 0.286; train_acc 0.897\n",
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            "epoch 2, step 441: train_loss 0.243; train_acc 0.940\n",
            "epoch 2, step 442: train_loss 0.225; train_acc 0.927\n",
            "epoch 2, step 443: train_loss 0.400; train_acc 0.897\n",
            "epoch 2, step 444: train_loss 0.208; train_acc 0.935\n",
            "epoch 2, step 445: train_loss 0.281; train_acc 0.912\n",
            "epoch 2, step 446: train_loss 0.251; train_acc 0.917\n",
            "epoch 2, step 447: train_loss 0.289; train_acc 0.912\n",
            "epoch 2, step 448: train_loss 0.251; train_acc 0.920\n",
            "epoch 2, step 449: train_loss 0.286; train_acc 0.912\n",
            "epoch 2, step 450: train_loss 0.251; train_acc 0.910\n",
            "epoch 2, step 451: train_loss 0.270; train_acc 0.927\n",
            "epoch 2, step 452: train_loss 0.255; train_acc 0.912\n",
            "epoch 2, step 453: train_loss 0.265; train_acc 0.917\n",
            "epoch 2, step 454: train_loss 0.214; train_acc 0.922\n",
            "epoch 2, step 455: train_loss 0.249; train_acc 0.915\n",
            "epoch 2, step 456: train_loss 0.218; train_acc 0.927\n",
            "epoch 2, step 457: train_loss 0.220; train_acc 0.927\n",
            "epoch 2, step 458: train_loss 0.271; train_acc 0.910\n",
            "epoch 2, step 459: train_loss 0.281; train_acc 0.912\n",
            "epoch 2, step 460: train_loss 0.263; train_acc 0.905\n",
            "epoch 2, step 461: train_loss 0.251; train_acc 0.912\n",
            "epoch 2, step 462: train_loss 0.239; train_acc 0.920\n",
            "epoch 2, step 463: train_loss 0.245; train_acc 0.927\n",
            "epoch 2, step 464: train_loss 0.275; train_acc 0.917\n",
            "epoch 2, step 465: train_loss 0.229; train_acc 0.930\n",
            "epoch 2, step 466: train_loss 0.255; train_acc 0.910\n",
            "epoch 2, step 467: train_loss 0.228; train_acc 0.927\n",
            "epoch 2, step 468: train_loss 0.253; train_acc 0.915\n",
            "epoch 2, step 469: train_loss 0.265; train_acc 0.915\n",
            "epoch 2, step 470: train_loss 0.326; train_acc 0.895\n",
            "epoch 2, step 471: train_loss 0.283; train_acc 0.910\n",
            "epoch 2, step 472: train_loss 0.257; train_acc 0.915\n",
            "epoch 2, step 473: train_loss 0.229; train_acc 0.935\n",
            "epoch 2, step 474: train_loss 0.259; train_acc 0.915\n",
            "epoch 2, step 475: train_loss 0.234; train_acc 0.935\n",
            "epoch 2, step 476: train_loss 0.253; train_acc 0.925\n",
            "epoch 2, step 477: train_loss 0.264; train_acc 0.917\n",
            "epoch 2, step 478: train_loss 0.237; train_acc 0.922\n",
            "epoch 2, step 479: train_loss 0.239; train_acc 0.930\n",
            "epoch 2, step 480: train_loss 0.290; train_acc 0.910\n",
            "epoch 2, step 481: train_loss 0.244; train_acc 0.925\n",
            "epoch 2, step 482: train_loss 0.282; train_acc 0.910\n",
            "epoch 2, step 483: train_loss 0.224; train_acc 0.933\n",
            "epoch 2, step 484: train_loss 0.258; train_acc 0.922\n",
            "epoch 2, step 485: train_loss 0.263; train_acc 0.912\n",
            "epoch 2, step 486: train_loss 0.275; train_acc 0.910\n",
            "epoch 2, step 487: train_loss 0.225; train_acc 0.930\n",
            "epoch 2, step 488: train_loss 0.276; train_acc 0.912\n",
            "epoch 2, step 489: train_loss 0.262; train_acc 0.910\n",
            "epoch 2, step 490: train_loss 0.244; train_acc 0.912\n",
            "epoch 2, step 491: train_loss 0.273; train_acc 0.915\n",
            "epoch 2, step 492: train_loss 0.242; train_acc 0.920\n",
            "epoch 2, step 493: train_loss 0.311; train_acc 0.917\n",
            "Total # of test models:  49360\n",
            "val mean class acc. :  0.7115244186046512\n",
            "val overall acc. :  0.7696516\n",
            "val loss :  0.7929176228090881\n",
            "[0.9305     0.437      0.6815     0.4425     0.7165     0.866\n",
            " 0.42       0.8695     0.8175     0.7625     0.3875     0.775\n",
            " 0.725      0.665      0.77674419 0.0825     0.387      0.8465\n",
            " 0.7875     0.77       0.7025     0.825      0.866      0.78023256\n",
            " 0.835      0.8615     0.9885     0.5725     0.6015     0.635\n",
            " 0.8915     0.795      0.6375     0.9285     0.89       0.9525\n",
            " 0.7055     0.8465     0.37       0.63      ]\n",
            "best_acc 0.7696516\n",
            "epoch 3, step 1: train_loss 0.233; train_acc 0.930\n",
            "epoch 3, step 2: train_loss 0.257; train_acc 0.922\n",
            "epoch 3, step 3: train_loss 0.200; train_acc 0.940\n",
            "epoch 3, step 4: train_loss 0.241; train_acc 0.915\n",
            "epoch 3, step 5: train_loss 0.282; train_acc 0.917\n",
            "epoch 3, step 6: train_loss 0.220; train_acc 0.933\n",
            "epoch 3, step 7: train_loss 0.248; train_acc 0.922\n",
            "epoch 3, step 8: train_loss 0.238; train_acc 0.915\n",
            "epoch 3, step 9: train_loss 0.218; train_acc 0.927\n",
            "epoch 3, step 10: train_loss 0.204; train_acc 0.945\n",
            "epoch 3, step 11: train_loss 0.242; train_acc 0.920\n",
            "epoch 3, step 12: train_loss 0.212; train_acc 0.935\n",
            "epoch 3, step 13: train_loss 0.263; train_acc 0.925\n",
            "epoch 3, step 14: train_loss 0.202; train_acc 0.933\n",
            "epoch 3, step 15: train_loss 0.201; train_acc 0.940\n",
            "epoch 3, step 16: train_loss 0.227; train_acc 0.945\n",
            "epoch 3, step 17: train_loss 0.194; train_acc 0.933\n",
            "epoch 3, step 18: train_loss 0.208; train_acc 0.940\n",
            "epoch 3, step 19: train_loss 0.203; train_acc 0.930\n",
            "epoch 3, step 20: train_loss 0.254; train_acc 0.922\n",
            "epoch 3, step 21: train_loss 0.233; train_acc 0.935\n",
            "epoch 3, step 22: train_loss 0.196; train_acc 0.947\n",
            "epoch 3, step 23: train_loss 0.232; train_acc 0.927\n",
            "epoch 3, step 24: train_loss 0.206; train_acc 0.940\n",
            "epoch 3, step 25: train_loss 0.268; train_acc 0.912\n",
            "epoch 3, step 26: train_loss 0.251; train_acc 0.920\n",
            "epoch 3, step 27: train_loss 0.242; train_acc 0.927\n",
            "epoch 3, step 28: train_loss 0.236; train_acc 0.927\n",
            "epoch 3, step 29: train_loss 0.238; train_acc 0.930\n",
            "epoch 3, step 30: train_loss 0.182; train_acc 0.940\n",
            "epoch 3, step 31: train_loss 0.269; train_acc 0.910\n",
            "epoch 3, step 32: train_loss 0.253; train_acc 0.915\n",
            "epoch 3, step 33: train_loss 0.230; train_acc 0.930\n",
            "epoch 3, step 34: train_loss 0.187; train_acc 0.950\n",
            "epoch 3, step 35: train_loss 0.259; train_acc 0.922\n",
            "epoch 3, step 36: train_loss 0.207; train_acc 0.930\n",
            "epoch 3, step 37: train_loss 0.218; train_acc 0.935\n",
            "epoch 3, step 38: train_loss 0.286; train_acc 0.902\n",
            "epoch 3, step 39: train_loss 0.233; train_acc 0.925\n",
            "epoch 3, step 40: train_loss 0.194; train_acc 0.938\n",
            "epoch 3, step 41: train_loss 0.186; train_acc 0.955\n",
            "epoch 3, step 42: train_loss 0.194; train_acc 0.940\n",
            "epoch 3, step 43: train_loss 0.241; train_acc 0.915\n",
            "epoch 3, step 44: train_loss 0.239; train_acc 0.933\n",
            "epoch 3, step 45: train_loss 0.233; train_acc 0.925\n",
            "epoch 3, step 46: train_loss 0.242; train_acc 0.925\n",
            "epoch 3, step 47: train_loss 0.194; train_acc 0.942\n",
            "epoch 3, step 48: train_loss 0.193; train_acc 0.938\n",
            "epoch 3, step 49: train_loss 0.210; train_acc 0.927\n",
            "epoch 3, step 50: train_loss 0.229; train_acc 0.925\n",
            "epoch 3, step 51: train_loss 0.207; train_acc 0.942\n",
            "epoch 3, step 52: train_loss 0.182; train_acc 0.940\n",
            "epoch 3, step 53: train_loss 0.215; train_acc 0.933\n",
            "epoch 3, step 54: train_loss 0.240; train_acc 0.920\n",
            "epoch 3, step 55: train_loss 0.196; train_acc 0.950\n",
            "epoch 3, step 56: train_loss 0.202; train_acc 0.940\n",
            "epoch 3, step 57: train_loss 0.184; train_acc 0.952\n",
            "epoch 3, step 58: train_loss 0.239; train_acc 0.925\n",
            "epoch 3, step 59: train_loss 0.248; train_acc 0.917\n",
            "epoch 3, step 60: train_loss 0.221; train_acc 0.933\n",
            "epoch 3, step 61: train_loss 0.180; train_acc 0.935\n",
            "epoch 3, step 62: train_loss 0.200; train_acc 0.940\n",
            "epoch 3, step 63: train_loss 0.205; train_acc 0.938\n",
            "epoch 3, step 64: train_loss 0.226; train_acc 0.933\n",
            "epoch 3, step 65: train_loss 0.245; train_acc 0.933\n",
            "epoch 3, step 66: train_loss 0.189; train_acc 0.938\n",
            "epoch 3, step 67: train_loss 0.219; train_acc 0.927\n",
            "epoch 3, step 68: train_loss 0.200; train_acc 0.935\n",
            "epoch 3, step 69: train_loss 0.258; train_acc 0.917\n",
            "epoch 3, step 70: train_loss 0.176; train_acc 0.950\n",
            "epoch 3, step 71: train_loss 0.259; train_acc 0.910\n",
            "epoch 3, step 72: train_loss 0.202; train_acc 0.933\n",
            "epoch 3, step 73: train_loss 0.176; train_acc 0.945\n",
            "epoch 3, step 74: train_loss 0.254; train_acc 0.925\n",
            "epoch 3, step 75: train_loss 0.240; train_acc 0.933\n",
            "epoch 3, step 76: train_loss 0.185; train_acc 0.940\n",
            "epoch 3, step 77: train_loss 0.191; train_acc 0.925\n",
            "epoch 3, step 78: train_loss 0.198; train_acc 0.947\n",
            "epoch 3, step 79: train_loss 0.284; train_acc 0.915\n",
            "epoch 3, step 80: train_loss 0.168; train_acc 0.942\n",
            "epoch 3, step 81: train_loss 0.229; train_acc 0.927\n",
            "epoch 3, step 82: train_loss 0.273; train_acc 0.910\n",
            "epoch 3, step 83: train_loss 0.288; train_acc 0.907\n",
            "epoch 3, step 84: train_loss 0.225; train_acc 0.940\n",
            "epoch 3, step 85: train_loss 0.251; train_acc 0.912\n",
            "epoch 3, step 86: train_loss 0.199; train_acc 0.935\n",
            "epoch 3, step 87: train_loss 0.230; train_acc 0.938\n",
            "epoch 3, step 88: train_loss 0.283; train_acc 0.910\n",
            "epoch 3, step 89: train_loss 0.184; train_acc 0.935\n",
            "epoch 3, step 90: train_loss 0.194; train_acc 0.940\n",
            "epoch 3, step 91: train_loss 0.220; train_acc 0.925\n",
            "epoch 3, step 92: train_loss 0.238; train_acc 0.917\n",
            "epoch 3, step 93: train_loss 0.246; train_acc 0.930\n",
            "epoch 3, step 94: train_loss 0.211; train_acc 0.945\n",
            "epoch 3, step 95: train_loss 0.159; train_acc 0.957\n",
            "epoch 3, step 96: train_loss 0.207; train_acc 0.920\n",
            "epoch 3, step 97: train_loss 0.194; train_acc 0.920\n",
            "epoch 3, step 98: train_loss 0.238; train_acc 0.910\n",
            "epoch 3, step 99: train_loss 0.241; train_acc 0.933\n",
            "epoch 3, step 100: train_loss 0.168; train_acc 0.950\n",
            "epoch 3, step 101: train_loss 0.206; train_acc 0.938\n",
            "epoch 3, step 102: train_loss 0.185; train_acc 0.945\n",
            "epoch 3, step 103: train_loss 0.280; train_acc 0.910\n",
            "epoch 3, step 104: train_loss 0.263; train_acc 0.933\n",
            "epoch 3, step 105: train_loss 0.260; train_acc 0.920\n",
            "epoch 3, step 106: train_loss 0.274; train_acc 0.897\n",
            "epoch 3, step 107: train_loss 0.190; train_acc 0.938\n",
            "epoch 3, step 108: train_loss 0.246; train_acc 0.930\n",
            "epoch 3, step 109: train_loss 0.250; train_acc 0.922\n",
            "epoch 3, step 110: train_loss 0.235; train_acc 0.922\n",
            "epoch 3, step 111: train_loss 0.227; train_acc 0.920\n",
            "epoch 3, step 112: train_loss 0.195; train_acc 0.942\n",
            "epoch 3, step 113: train_loss 0.194; train_acc 0.947\n",
            "epoch 3, step 114: train_loss 0.206; train_acc 0.940\n",
            "epoch 3, step 115: train_loss 0.209; train_acc 0.940\n",
            "epoch 3, step 116: train_loss 0.177; train_acc 0.945\n",
            "epoch 3, step 117: train_loss 0.201; train_acc 0.940\n",
            "epoch 3, step 118: train_loss 0.253; train_acc 0.922\n",
            "epoch 3, step 119: train_loss 0.231; train_acc 0.922\n",
            "epoch 3, step 120: train_loss 0.204; train_acc 0.945\n",
            "epoch 3, step 121: train_loss 0.201; train_acc 0.938\n",
            "epoch 3, step 122: train_loss 0.206; train_acc 0.933\n",
            "epoch 3, step 123: train_loss 0.216; train_acc 0.927\n",
            "epoch 3, step 124: train_loss 0.205; train_acc 0.925\n",
            "epoch 3, step 125: train_loss 0.240; train_acc 0.910\n",
            "epoch 3, step 126: train_loss 0.192; train_acc 0.952\n",
            "epoch 3, step 127: train_loss 0.183; train_acc 0.945\n",
            "epoch 3, step 128: train_loss 0.212; train_acc 0.938\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}