Pediatric_Bone_Age_EfficientNet.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Pediatric Bone Age.ipynb",
      "provenance": [],
      "mount_file_id": "https://github.com/pablobots/private_test/blob/main/Pediatric_Bone_Age.ipynb",
      "authorship_tag": "ABX9TyOzvPYhwRuH8xKHLFZK8dT/",
      "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/pablobots/private_test/blob/main/Pediatric_Bone_Age_EfficientNet.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZGVLxmZF3o2v"
      },
      "source": [
        "https://colab.research.google.com/github/pablobots/private_test/blob/main/Pediatric_Bone_Age.ipynb\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "hWlPI8PM5M-c",
        "outputId": "fee5a269-0254-43fe-9830-887817334926"
      },
      "source": [
        "import IPython\r\n",
        "from google.colab import output\r\n",
        "\r\n",
        "display(IPython.display.Javascript('''\r\n",
        " function ClickConnect(){\r\n",
        "   btn = document.querySelector(\"colab-connect-button\")\r\n",
        "   if (btn != null){\r\n",
        "     console.log(\"Click colab-connect-button\"); \r\n",
        "     btn.click() \r\n",
        "     }\r\n",
        "   \r\n",
        "   btn = document.getElementById('ok')\r\n",
        "   if (btn != null){\r\n",
        "     console.log(\"Click reconnect\"); \r\n",
        "     btn.click() \r\n",
        "     }\r\n",
        "  }\r\n",
        "  \r\n",
        "setInterval(ClickConnect,60000)\r\n",
        "'''))\r\n",
        "\r\n",
        "print(\"Done.\")"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              " function ClickConnect(){\n",
              "   btn = document.querySelector(\"colab-connect-button\")\n",
              "   if (btn != null){\n",
              "     console.log(\"Click colab-connect-button\"); \n",
              "     btn.click() \n",
              "     }\n",
              "   \n",
              "   btn = document.getElementById('ok')\n",
              "   if (btn != null){\n",
              "     console.log(\"Click reconnect\"); \n",
              "     btn.click() \n",
              "     }\n",
              "  }\n",
              "  \n",
              "setInterval(ClickConnect,60000)\n"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wpRw1Ww2u8q5"
      },
      "source": [
        "!pip install -q kaggle"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uTJ3bphqwSxN"
      },
      "source": [
        "!mkdir ~/.kaggle "
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tpb9-88Nwo_i"
      },
      "source": [
        "!cp /content/drive/MyDrive/kaggle.json ~/.kaggle/"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tM3ra8d2D4fn"
      },
      "source": [
        "from google.colab import drive\r\n",
        "drive.flush_and_unmount()"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UdnjdxGKwwSD"
      },
      "source": [
        "!chmod 600 ~/.kaggle/kaggle.json"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DoxT8LFpw05T"
      },
      "source": [
        "#!kaggle datasets list"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7lx8ybZTw4Rl",
        "outputId": "43deeb04-bd21-4a24-a539-bca6d06dadd4"
      },
      "source": [
        "!kaggle datasets download -d kmader/rsna-bone-age -p ./"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading rsna-bone-age.zip to .\n",
            "100% 9.27G/9.29G [03:38<00:00, 43.6MB/s]\n",
            "100% 9.29G/9.29G [03:38<00:00, 45.6MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3IPZNSuAw-dZ"
      },
      "source": [
        "!unzip -qq rsna-bone-age.zip"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-PVfqsnGDKiL"
      },
      "source": [
        "!rm rsna-bone-age.zip\r\n",
        "!rm -r boneage-test-dataset\r\n",
        "!rm boneage-test-dataset.csv"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GBjbFWiSuIuY"
      },
      "source": [
        "import os\r\n",
        "from PIL import Image\r\n",
        "\r\n",
        "size=224\r\n",
        "input_dir = \"/content/boneage-training-dataset/boneage-training-dataset\"\r\n",
        "dirs = os.listdir(input_dir)\r\n",
        "for item in dirs:\r\n",
        "  image_path = os.path.join(input_dir, item)\r\n",
        "  if os.path.isfile(image_path) and image_path.endswith('.png'):\r\n",
        "    im = Image.open(image_path)\r\n",
        "    imResize = im.resize((size,size), Image.ANTIALIAS)\r\n",
        "    imResize.save(image_path, 'PNG', quality=90)\r\n",
        "    #print(image_path)"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kjaMI8pkyBnn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "eeb61f1d-7438-47df-bdef-8f824bca7d14"
      },
      "source": [
        "!rm -r boneage-dataset-deit\r\n",
        "!mkdir boneage-dataset-deit\r\n",
        "!mkdir boneage-dataset-deit/train\r\n",
        "!mkdir boneage-dataset-deit/val"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "rm: cannot remove 'boneage-dataset-deit': No such file or directory\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HHwtStNA4Zsx"
      },
      "source": [
        "import pandas as pd\r\n",
        "import shutil\r\n",
        "import random\r\n",
        "\r\n",
        "input_dir = \"/content/boneage-training-dataset/boneage-training-dataset\"\r\n",
        "output_dir_train = \"boneage-dataset-deit/train\"\r\n",
        "output_dir_val = \"boneage-dataset-deit/val\"\r\n",
        "df = pd.read_csv('boneage-training-dataset.csv')\r\n",
        "\r\n",
        "for index, row in df.iterrows():\r\n",
        "  #print(row['id'], row['boneage'], row['male'])\r\n",
        "  \r\n",
        "  file_path = os.path.join(input_dir, str(row['id']) + \".png\")\r\n",
        "  boneage = str(row['boneage'])\r\n",
        "\r\n",
        "  output_subdir_train = os.path.join(output_dir_train, boneage)\r\n",
        "  if not os.path.exists(output_subdir_train):\r\n",
        "    os.mkdir(output_subdir_train)\r\n",
        "  output_subdir_val = os.path.join(output_dir_val, boneage)\r\n",
        "  if not os.path.exists(output_subdir_val):\r\n",
        "    os.mkdir(output_subdir_val)\r\n",
        "\r\n",
        "  if random.uniform(0, 1) <= 0.85:\r\n",
        "    shutil.copy(file_path, output_subdir_train)\r\n",
        "  else:\r\n",
        "    shutil.copy(file_path, output_subdir_val)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zmWelrAWJMhi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "28316660-e362-402a-d0b8-a9d16778973a"
      },
      "source": [
        "!git clone https://github.com/facebookresearch/deit.git"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'deit'...\n",
            "remote: Enumerating objects: 12, done.\u001b[K\n",
            "remote: Counting objects: 100% (12/12), done.\u001b[K\n",
            "remote: Compressing objects: 100% (10/10), done.\u001b[K\n",
            "remote: Total 101 (delta 3), reused 9 (delta 2), pack-reused 89\u001b[K\n",
            "Receiving objects: 100% (101/101), 204.55 KiB | 22.73 MiB/s, done.\n",
            "Resolving deltas: 100% (48/48), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EogoLGa6OJi7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "88cc56b7-8a79-40d9-fb9f-b9abb5271a61"
      },
      "source": [
        "%cd deit/"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/deit\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3KYJ1wl2PHK1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fe5a4c97-0bca-474f-e21d-8270c21999cb"
      },
      "source": [
        "!pip install torch torchvision"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: torch in /usr/local/lib/python3.6/dist-packages (1.7.0+cu101)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.6/dist-packages (0.8.1+cu101)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch) (0.16.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.6/dist-packages (from torch) (3.7.4.3)\n",
            "Requirement already satisfied: dataclasses in /usr/local/lib/python3.6/dist-packages (from torch) (0.8)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torch) (1.19.5)\n",
            "Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision) (7.0.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DnxezsgVOSJC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7ae08612-b6f3-40c5-dd1d-c6dedb34900b"
      },
      "source": [
        "!pip install timm==0.3.2"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting timm==0.3.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/51/2d/39ecc56fbb202e1891c317e8e44667299bc3b0762ea2ed6aaaa2c2f6613c/timm-0.3.2-py3-none-any.whl (244kB)\n",
            "\r\u001b[K     |█▍                              | 10kB 23.1MB/s eta 0:00:01\r\u001b[K     |██▊                             | 20kB 29.2MB/s eta 0:00:01\r\u001b[K     |████                            | 30kB 27.2MB/s eta 0:00:01\r\u001b[K     |█████▍                          | 40kB 24.0MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 51kB 23.7MB/s eta 0:00:01\r\u001b[K     |████████                        | 61kB 17.3MB/s eta 0:00:01\r\u001b[K     |█████████▍                      | 71kB 17.5MB/s eta 0:00:01\r\u001b[K     |██████████▊                     | 81kB 17.6MB/s eta 0:00:01\r\u001b[K     |████████████                    | 92kB 16.0MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 102kB 17.2MB/s eta 0:00:01\r\u001b[K     |██████████████▊                 | 112kB 17.2MB/s eta 0:00:01\r\u001b[K     |████████████████                | 122kB 17.2MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 133kB 17.2MB/s eta 0:00:01\r\u001b[K     |██████████████████▉             | 143kB 17.2MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 153kB 17.2MB/s eta 0:00:01\r\u001b[K     |█████████████████████▌          | 163kB 17.2MB/s eta 0:00:01\r\u001b[K     |██████████████████████▉         | 174kB 17.2MB/s eta 0:00:01\r\u001b[K     |████████████████████████▏       | 184kB 17.2MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 194kB 17.2MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▉     | 204kB 17.2MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 215kB 17.2MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▌  | 225kB 17.2MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 235kB 17.2MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 245kB 17.2MB/s \n",
            "\u001b[?25hRequirement already satisfied: torch>=1.0 in /usr/local/lib/python3.6/dist-packages (from timm==0.3.2) (1.7.0+cu101)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.6/dist-packages (from timm==0.3.2) (0.8.1+cu101)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.6/dist-packages (from torch>=1.0->timm==0.3.2) (3.7.4.3)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch>=1.0->timm==0.3.2) (0.16.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torch>=1.0->timm==0.3.2) (1.19.5)\n",
            "Requirement already satisfied: dataclasses in /usr/local/lib/python3.6/dist-packages (from torch>=1.0->timm==0.3.2) (0.8)\n",
            "Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision->timm==0.3.2) (7.0.0)\n",
            "Installing collected packages: timm\n",
            "Successfully installed timm-0.3.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JQzc84F3PDm8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "daacf64a-2482-409b-97cb-15fb10e49bd0"
      },
      "source": [
        "!python main.py --model deit_small_patch16_224 --batch-size 64 --epochs 100 --output_dir /content/deit/output --data-path /content/boneage-dataset-deit"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Not using distributed mode\n",
            "Namespace(aa='rand-m9-mstd0.5-inc1', batch_size=64, clip_grad=None, color_jitter=0.4, cooldown_epochs=10, cutmix=1.0, cutmix_minmax=None, data_path='/content/boneage-dataset-deit', data_set='IMNET', decay_epochs=30, decay_rate=0.1, device='cuda', dist_eval=False, dist_url='env://', distillation_alpha=0.5, distillation_tau=1.0, distillation_type='none', distributed=False, drop=0.0, drop_path=0.1, epochs=100, eval=False, inat_category='name', input_size=224, lr=0.0005, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, min_lr=1e-05, mixup=0.8, mixup_mode='batch', mixup_prob=1.0, mixup_switch_prob=0.5, model='deit_small_patch16_224', model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, momentum=0.9, num_workers=10, opt='adamw', opt_betas=None, opt_eps=1e-08, output_dir='/content/deit/output', patience_epochs=10, pin_mem=True, recount=1, remode='pixel', repeated_aug=True, reprob=0.25, resplit=False, resume='', sched='cosine', seed=0, smoothing=0.1, start_epoch=0, teacher_model='regnety_160', teacher_path='', train_interpolation='bicubic', warmup_epochs=5, warmup_lr=1e-06, weight_decay=0.05, world_size=1)\n",
            "Creating model: deit_small_patch16_224\n",
            "number of params: 22050664\n",
            "Start training\n",
            "Epoch: [0]  [  0/164]  eta: 0:16:53  lr: 0.000001  loss: 6.9295 (6.9295)  time: 6.1814  data: 4.6979  max mem: 4211\n",
            "Epoch: [0]  [ 10/164]  eta: 0:02:27  lr: 0.000001  loss: 6.9919 (6.9618)  time: 0.9589  data: 0.4280  max mem: 4478\n",
            "Epoch: [0]  [ 20/164]  eta: 0:01:39  lr: 0.000001  loss: 6.9029 (6.9147)  time: 0.4137  data: 0.0006  max mem: 4478\n",
            "Epoch: [0]  [ 30/164]  eta: 0:01:19  lr: 0.000001  loss: 6.8029 (6.8543)  time: 0.3920  data: 0.0001  max mem: 4478\n",
            "Epoch: [0]  [ 40/164]  eta: 0:01:07  lr: 0.000001  loss: 6.6317 (6.7885)  time: 0.3959  data: 0.0004  max mem: 4478\n",
            "Epoch: [0]  [ 50/164]  eta: 0:00:58  lr: 0.000001  loss: 6.5133 (6.7184)  time: 0.3994  data: 0.0004  max mem: 4478\n",
            "Epoch: [0]  [ 60/164]  eta: 0:00:51  lr: 0.000001  loss: 6.4249 (6.6875)  time: 0.4031  data: 0.0004  max mem: 4478\n",
            "Epoch: [0]  [ 70/164]  eta: 0:00:45  lr: 0.000001  loss: 6.4792 (6.6457)  time: 0.4036  data: 0.0006  max mem: 4478\n",
            "Epoch: [0]  [ 80/164]  eta: 0:00:39  lr: 0.000001  loss: 6.3509 (6.6036)  time: 0.4026  data: 0.0003  max mem: 4478\n",
            "Epoch: [0]  [ 90/164]  eta: 0:00:34  lr: 0.000001  loss: 6.2712 (6.5646)  time: 0.4048  data: 0.0003  max mem: 4478\n",
            "Epoch: [0]  [100/164]  eta: 0:00:29  lr: 0.000001  loss: 6.2272 (6.5245)  time: 0.4075  data: 0.0003  max mem: 4478\n",
            "Epoch: [0]  [110/164]  eta: 0:00:24  lr: 0.000001  loss: 6.1404 (6.4841)  time: 0.4072  data: 0.0002  max mem: 4478\n",
            "Epoch: [0]  [120/164]  eta: 0:00:19  lr: 0.000001  loss: 6.1003 (6.4525)  time: 0.4062  data: 0.0004  max mem: 4478\n",
            "Epoch: [0]  [130/164]  eta: 0:00:15  lr: 0.000001  loss: 6.1297 (6.4290)  time: 0.4067  data: 0.0007  max mem: 4478\n",
            "Epoch: [0]  [140/164]  eta: 0:00:10  lr: 0.000001  loss: 6.0691 (6.4007)  time: 0.4064  data: 0.0007  max mem: 4478\n",
            "Epoch: [0]  [150/164]  eta: 0:00:06  lr: 0.000001  loss: 6.0434 (6.3722)  time: 0.3945  data: 0.0004  max mem: 4478\n",
            "Epoch: [0]  [160/164]  eta: 0:00:01  lr: 0.000001  loss: 5.8865 (6.3383)  time: 0.3767  data: 0.0001  max mem: 4478\n",
            "Epoch: [0]  [163/164]  eta: 0:00:00  lr: 0.000001  loss: 5.8865 (6.3309)  time: 0.3718  data: 0.0001  max mem: 4478\n",
            "Epoch: [0] Total time: 0:01:11 (0.4380 s / it)\n",
            "Averaged stats: lr: 0.000001  loss: 5.8865 (6.3309)\n",
            "Test:  [ 0/20]  eta: 0:01:37  loss: 5.7509 (5.7509)  acc1: 0.0000 (0.0000)  acc5: 14.5833 (14.5833)  time: 4.8666  data: 3.8868  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 5.3946 (5.2178)  acc1: 0.0000 (14.8674)  acc5: 44.7917 (54.1667)  time: 0.6756  data: 0.3650  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 5.7223 (5.6530)  acc1: 0.0000 (8.1813)  acc5: 30.2083 (37.7801)  time: 0.4630  data: 0.2008  max mem: 4478\n",
            "Test: Total time: 0:00:09 (0.4796 s / it)\n",
            "* Acc@1 8.181 Acc@5 37.780 loss 5.653\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 8.18%\n",
            "Epoch: [1]  [  0/164]  eta: 0:11:23  lr: 0.000001  loss: 6.0212 (6.0212)  time: 4.1699  data: 3.2668  max mem: 4478\n",
            "Epoch: [1]  [ 10/164]  eta: 0:02:15  lr: 0.000001  loss: 5.9696 (5.9259)  time: 0.8820  data: 0.3002  max mem: 4478\n",
            "Epoch: [1]  [ 20/164]  eta: 0:01:34  lr: 0.000001  loss: 5.9001 (5.9058)  time: 0.4828  data: 0.0018  max mem: 4478\n",
            "Epoch: [1]  [ 30/164]  eta: 0:01:18  lr: 0.000001  loss: 5.8730 (5.9012)  time: 0.4174  data: 0.0007  max mem: 4478\n",
            "Epoch: [1]  [ 40/164]  eta: 0:01:06  lr: 0.000001  loss: 5.8879 (5.8810)  time: 0.4147  data: 0.0007  max mem: 4478\n",
            "Epoch: [1]  [ 50/164]  eta: 0:00:58  lr: 0.000001  loss: 5.7180 (5.8320)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [ 60/164]  eta: 0:00:51  lr: 0.000001  loss: 5.6925 (5.8357)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [ 70/164]  eta: 0:00:45  lr: 0.000001  loss: 5.7820 (5.8194)  time: 0.4169  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [ 80/164]  eta: 0:00:40  lr: 0.000001  loss: 5.6431 (5.7989)  time: 0.4176  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [ 90/164]  eta: 0:00:34  lr: 0.000001  loss: 5.6841 (5.7969)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [100/164]  eta: 0:00:29  lr: 0.000001  loss: 5.7242 (5.7875)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [110/164]  eta: 0:00:24  lr: 0.000001  loss: 5.6648 (5.7754)  time: 0.4180  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [120/164]  eta: 0:00:20  lr: 0.000001  loss: 5.6344 (5.7701)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [130/164]  eta: 0:00:15  lr: 0.000001  loss: 5.8099 (5.7744)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [140/164]  eta: 0:00:10  lr: 0.000001  loss: 5.7112 (5.7666)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [1]  [150/164]  eta: 0:00:06  lr: 0.000001  loss: 5.6815 (5.7583)  time: 0.4027  data: 0.0001  max mem: 4478\n",
            "Epoch: [1]  [160/164]  eta: 0:00:01  lr: 0.000001  loss: 5.5515 (5.7421)  time: 0.3857  data: 0.0001  max mem: 4478\n",
            "Epoch: [1]  [163/164]  eta: 0:00:00  lr: 0.000001  loss: 5.5515 (5.7405)  time: 0.3796  data: 0.0001  max mem: 4478\n",
            "Epoch: [1] Total time: 0:01:12 (0.4445 s / it)\n",
            "Averaged stats: lr: 0.000001  loss: 5.5515 (5.7405)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 5.4986 (5.4986)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7165  data: 3.4371  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 5.1248 (4.9347)  acc1: 0.0000 (14.8674)  acc5: 46.8750 (51.7045)  time: 0.6071  data: 0.3940  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 5.4986 (5.3846)  acc1: 0.0000 (8.1813)  acc5: 1.0417 (37.5195)  time: 0.4277  data: 0.2198  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4422 s / it)\n",
            "* Acc@1 8.181 Acc@5 37.520 loss 5.385\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 8.18%\n",
            "Epoch: [2]  [  0/164]  eta: 0:12:37  lr: 0.000013  loss: 5.8124 (5.8124)  time: 4.6218  data: 3.8563  max mem: 4478\n",
            "Epoch: [2]  [ 10/164]  eta: 0:02:22  lr: 0.000013  loss: 5.6623 (5.6223)  time: 0.9244  data: 0.3519  max mem: 4478\n",
            "Epoch: [2]  [ 20/164]  eta: 0:01:37  lr: 0.000013  loss: 5.5832 (5.5850)  time: 0.4816  data: 0.0008  max mem: 4478\n",
            "Epoch: [2]  [ 30/164]  eta: 0:01:19  lr: 0.000013  loss: 5.5218 (5.5405)  time: 0.4076  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [ 40/164]  eta: 0:01:07  lr: 0.000013  loss: 5.4343 (5.5010)  time: 0.4094  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [ 50/164]  eta: 0:00:59  lr: 0.000013  loss: 5.2192 (5.4273)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [ 60/164]  eta: 0:00:52  lr: 0.000013  loss: 5.1930 (5.4122)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [ 70/164]  eta: 0:00:46  lr: 0.000013  loss: 5.1930 (5.3740)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [ 80/164]  eta: 0:00:40  lr: 0.000013  loss: 5.0368 (5.3310)  time: 0.4192  data: 0.0004  max mem: 4478\n",
            "Epoch: [2]  [ 90/164]  eta: 0:00:35  lr: 0.000013  loss: 5.0335 (5.3069)  time: 0.4201  data: 0.0004  max mem: 4478\n",
            "Epoch: [2]  [100/164]  eta: 0:00:30  lr: 0.000013  loss: 5.0335 (5.2768)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [110/164]  eta: 0:00:25  lr: 0.000013  loss: 4.9747 (5.2452)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [120/164]  eta: 0:00:20  lr: 0.000013  loss: 4.9338 (5.2225)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [130/164]  eta: 0:00:15  lr: 0.000013  loss: 4.9979 (5.2077)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [140/164]  eta: 0:00:10  lr: 0.000013  loss: 4.9177 (5.1851)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [2]  [150/164]  eta: 0:00:06  lr: 0.000013  loss: 4.8814 (5.1595)  time: 0.3993  data: 0.0001  max mem: 4478\n",
            "Epoch: [2]  [160/164]  eta: 0:00:01  lr: 0.000013  loss: 4.7296 (5.1286)  time: 0.3831  data: 0.0001  max mem: 4478\n",
            "Epoch: [2]  [163/164]  eta: 0:00:00  lr: 0.000013  loss: 4.7152 (5.1229)  time: 0.3786  data: 0.0001  max mem: 4478\n",
            "Epoch: [2] Total time: 0:01:13 (0.4457 s / it)\n",
            "Averaged stats: lr: 0.000013  loss: 4.7152 (5.1229)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 4.5379 (4.5379)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9262  data: 3.6048  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 4.1167 (4.0365)  acc1: 0.0000 (15.0568)  acc5: 46.8750 (51.7045)  time: 0.6168  data: 0.4021  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 4.4763 (4.4883)  acc1: 0.0000 (8.2856)  acc5: 0.0000 (37.5717)  time: 0.4306  data: 0.2212  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4447 s / it)\n",
            "* Acc@1 8.286 Acc@5 37.572 loss 4.488\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [3]  [  0/164]  eta: 0:11:27  lr: 0.000026  loss: 5.1210 (5.1210)  time: 4.1937  data: 3.3728  max mem: 4478\n",
            "Epoch: [3]  [ 10/164]  eta: 0:02:16  lr: 0.000026  loss: 4.7875 (4.7648)  time: 0.8841  data: 0.3104  max mem: 4478\n",
            "Epoch: [3]  [ 20/164]  eta: 0:01:34  lr: 0.000026  loss: 4.7441 (4.7314)  time: 0.4816  data: 0.0021  max mem: 4478\n",
            "Epoch: [3]  [ 30/164]  eta: 0:01:17  lr: 0.000026  loss: 4.6640 (4.6999)  time: 0.4112  data: 0.0001  max mem: 4478\n",
            "Epoch: [3]  [ 40/164]  eta: 0:01:06  lr: 0.000026  loss: 4.6612 (4.6747)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [ 50/164]  eta: 0:00:58  lr: 0.000026  loss: 4.4231 (4.6138)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [ 60/164]  eta: 0:00:51  lr: 0.000026  loss: 4.3939 (4.6124)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [ 70/164]  eta: 0:00:45  lr: 0.000026  loss: 4.4471 (4.5813)  time: 0.4177  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [ 80/164]  eta: 0:00:40  lr: 0.000026  loss: 4.3185 (4.5472)  time: 0.4232  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [ 90/164]  eta: 0:00:35  lr: 0.000026  loss: 4.3404 (4.5318)  time: 0.4232  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [100/164]  eta: 0:00:29  lr: 0.000026  loss: 4.3718 (4.5109)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [110/164]  eta: 0:00:25  lr: 0.000026  loss: 4.3367 (4.4885)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [120/164]  eta: 0:00:20  lr: 0.000026  loss: 4.2905 (4.4752)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [130/164]  eta: 0:00:15  lr: 0.000026  loss: 4.3222 (4.4685)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [3]  [140/164]  eta: 0:00:10  lr: 0.000026  loss: 4.3150 (4.4561)  time: 0.4155  data: 0.0004  max mem: 4478\n",
            "Epoch: [3]  [150/164]  eta: 0:00:06  lr: 0.000026  loss: 4.2501 (4.4381)  time: 0.4022  data: 0.0003  max mem: 4478\n",
            "Epoch: [3]  [160/164]  eta: 0:00:01  lr: 0.000026  loss: 4.1743 (4.4193)  time: 0.3850  data: 0.0001  max mem: 4478\n",
            "Epoch: [3]  [163/164]  eta: 0:00:00  lr: 0.000026  loss: 4.1582 (4.4168)  time: 0.3794  data: 0.0001  max mem: 4478\n",
            "Epoch: [3] Total time: 0:01:13 (0.4456 s / it)\n",
            "Averaged stats: lr: 0.000026  loss: 4.1582 (4.4168)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.8917 (3.8917)  acc1: 0.0000 (0.0000)  acc5: 56.2500 (56.2500)  time: 3.8576  data: 3.5923  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.4519 (3.3793)  acc1: 1.0417 (13.7311)  acc5: 46.8750 (50.3788)  time: 0.6234  data: 0.4024  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.6173 (3.8421)  acc1: 0.0000 (7.5560)  acc5: 16.6667 (35.5915)  time: 0.4346  data: 0.2214  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4473 s / it)\n",
            "* Acc@1 7.556 Acc@5 35.591 loss 3.842\n",
            "Accuracy of the network on the 1919 test images: 7.6%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [4]  [  0/164]  eta: 0:11:15  lr: 0.000038  loss: 4.6760 (4.6760)  time: 4.1183  data: 3.3143  max mem: 4478\n",
            "Epoch: [4]  [ 10/164]  eta: 0:02:16  lr: 0.000038  loss: 4.2455 (4.2539)  time: 0.8844  data: 0.3046  max mem: 4478\n",
            "Epoch: [4]  [ 20/164]  eta: 0:01:34  lr: 0.000038  loss: 4.2146 (4.2454)  time: 0.4866  data: 0.0021  max mem: 4478\n",
            "Epoch: [4]  [ 30/164]  eta: 0:01:17  lr: 0.000038  loss: 4.1975 (4.2312)  time: 0.4127  data: 0.0004  max mem: 4478\n",
            "Epoch: [4]  [ 40/164]  eta: 0:01:07  lr: 0.000038  loss: 4.2487 (4.2294)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [ 50/164]  eta: 0:00:58  lr: 0.000038  loss: 4.0386 (4.1940)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [ 60/164]  eta: 0:00:52  lr: 0.000038  loss: 4.0636 (4.2161)  time: 0.4177  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [ 70/164]  eta: 0:00:45  lr: 0.000038  loss: 4.1859 (4.1998)  time: 0.4179  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [ 80/164]  eta: 0:00:40  lr: 0.000038  loss: 4.0818 (4.1835)  time: 0.4187  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [ 90/164]  eta: 0:00:35  lr: 0.000038  loss: 4.1182 (4.1842)  time: 0.4205  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [100/164]  eta: 0:00:29  lr: 0.000038  loss: 4.1544 (4.1783)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [110/164]  eta: 0:00:24  lr: 0.000038  loss: 4.1228 (4.1684)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [120/164]  eta: 0:00:20  lr: 0.000038  loss: 4.1075 (4.1685)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [130/164]  eta: 0:00:15  lr: 0.000038  loss: 4.1580 (4.1733)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [140/164]  eta: 0:00:10  lr: 0.000038  loss: 4.1786 (4.1719)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [4]  [150/164]  eta: 0:00:06  lr: 0.000038  loss: 4.1015 (4.1634)  time: 0.4002  data: 0.0001  max mem: 4478\n",
            "Epoch: [4]  [160/164]  eta: 0:00:01  lr: 0.000038  loss: 4.0521 (4.1556)  time: 0.3821  data: 0.0001  max mem: 4478\n",
            "Epoch: [4]  [163/164]  eta: 0:00:00  lr: 0.000038  loss: 4.0369 (4.1557)  time: 0.3785  data: 0.0001  max mem: 4478\n",
            "Epoch: [4] Total time: 0:01:12 (0.4443 s / it)\n",
            "Averaged stats: lr: 0.000038  loss: 4.0369 (4.1557)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.7406 (3.7406)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.8392  data: 3.5252  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.3102 (3.2147)  acc1: 0.0000 (13.8258)  acc5: 41.6667 (45.2652)  time: 0.6130  data: 0.3940  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.4127 (3.6698)  acc1: 0.0000 (7.6081)  acc5: 29.1667 (35.7478)  time: 0.4287  data: 0.2167  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4416 s / it)\n",
            "* Acc@1 7.608 Acc@5 35.748 loss 3.670\n",
            "Accuracy of the network on the 1919 test images: 7.6%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [5]  [  0/164]  eta: 0:10:36  lr: 0.000050  loss: 4.5974 (4.5974)  time: 3.8815  data: 2.9794  max mem: 4478\n",
            "Epoch: [5]  [ 10/164]  eta: 0:02:14  lr: 0.000050  loss: 4.1312 (4.1578)  time: 0.8737  data: 0.2727  max mem: 4478\n",
            "Epoch: [5]  [ 20/164]  eta: 0:01:34  lr: 0.000050  loss: 4.1298 (4.1512)  time: 0.4923  data: 0.0011  max mem: 4478\n",
            "Epoch: [5]  [ 30/164]  eta: 0:01:17  lr: 0.000050  loss: 4.1298 (4.1416)  time: 0.4147  data: 0.0004  max mem: 4478\n",
            "Epoch: [5]  [ 40/164]  eta: 0:01:06  lr: 0.000050  loss: 4.1560 (4.1467)  time: 0.4185  data: 0.0005  max mem: 4478\n",
            "Epoch: [5]  [ 50/164]  eta: 0:00:58  lr: 0.000050  loss: 3.9916 (4.1171)  time: 0.4177  data: 0.0003  max mem: 4478\n",
            "Epoch: [5]  [ 60/164]  eta: 0:00:51  lr: 0.000050  loss: 4.0218 (4.1463)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [ 70/164]  eta: 0:00:45  lr: 0.000050  loss: 4.1304 (4.1336)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [ 80/164]  eta: 0:00:40  lr: 0.000050  loss: 4.0569 (4.1217)  time: 0.4195  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [ 90/164]  eta: 0:00:34  lr: 0.000050  loss: 4.0732 (4.1248)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [100/164]  eta: 0:00:29  lr: 0.000050  loss: 4.1135 (4.1217)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [110/164]  eta: 0:00:24  lr: 0.000050  loss: 4.0959 (4.1141)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [120/164]  eta: 0:00:20  lr: 0.000050  loss: 4.0885 (4.1171)  time: 0.4199  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [130/164]  eta: 0:00:15  lr: 0.000050  loss: 4.1477 (4.1245)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [140/164]  eta: 0:00:10  lr: 0.000050  loss: 4.1631 (4.1248)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [5]  [150/164]  eta: 0:00:06  lr: 0.000050  loss: 4.0689 (4.1179)  time: 0.4022  data: 0.0001  max mem: 4478\n",
            "Epoch: [5]  [160/164]  eta: 0:00:01  lr: 0.000050  loss: 4.0238 (4.1123)  time: 0.3844  data: 0.0001  max mem: 4478\n",
            "Epoch: [5]  [163/164]  eta: 0:00:00  lr: 0.000050  loss: 4.0238 (4.1129)  time: 0.3796  data: 0.0001  max mem: 4478\n",
            "Epoch: [5] Total time: 0:01:12 (0.4445 s / it)\n",
            "Averaged stats: lr: 0.000050  loss: 4.0238 (4.1129)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.6862 (3.6862)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.8883  data: 3.5753  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.2860 (3.1810)  acc1: 0.0000 (13.7311)  acc5: 41.6667 (45.2652)  time: 0.6435  data: 0.4257  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3511 (3.6283)  acc1: 0.0000 (7.5560)  acc5: 29.1667 (35.7478)  time: 0.4446  data: 0.2342  max mem: 4478\n",
            "Test: Total time: 0:00:09 (0.4584 s / it)\n",
            "* Acc@1 7.556 Acc@5 35.748 loss 3.628\n",
            "Accuracy of the network on the 1919 test images: 7.6%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [6]  [  0/164]  eta: 0:11:55  lr: 0.000062  loss: 4.5991 (4.5991)  time: 4.3652  data: 3.5775  max mem: 4478\n",
            "Epoch: [6]  [ 10/164]  eta: 0:02:16  lr: 0.000062  loss: 4.1166 (4.1471)  time: 0.8834  data: 0.3281  max mem: 4478\n",
            "Epoch: [6]  [ 20/164]  eta: 0:01:34  lr: 0.000062  loss: 4.1166 (4.1399)  time: 0.4697  data: 0.0017  max mem: 4478\n",
            "Epoch: [6]  [ 30/164]  eta: 0:01:17  lr: 0.000062  loss: 4.1329 (4.1297)  time: 0.4075  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 40/164]  eta: 0:01:06  lr: 0.000062  loss: 4.1371 (4.1358)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 50/164]  eta: 0:00:58  lr: 0.000062  loss: 3.9781 (4.1079)  time: 0.4108  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 60/164]  eta: 0:00:51  lr: 0.000062  loss: 4.0228 (4.1387)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 70/164]  eta: 0:00:45  lr: 0.000062  loss: 4.1171 (4.1257)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 80/164]  eta: 0:00:40  lr: 0.000062  loss: 4.0398 (4.1148)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [ 90/164]  eta: 0:00:34  lr: 0.000062  loss: 4.0720 (4.1183)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [100/164]  eta: 0:00:29  lr: 0.000062  loss: 4.0873 (4.1153)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [110/164]  eta: 0:00:24  lr: 0.000062  loss: 4.0723 (4.1079)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [120/164]  eta: 0:00:20  lr: 0.000062  loss: 4.0723 (4.1113)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [130/164]  eta: 0:00:15  lr: 0.000062  loss: 4.1510 (4.1192)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [140/164]  eta: 0:00:10  lr: 0.000062  loss: 4.1392 (4.1194)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [6]  [150/164]  eta: 0:00:06  lr: 0.000062  loss: 4.0617 (4.1127)  time: 0.3987  data: 0.0001  max mem: 4478\n",
            "Epoch: [6]  [160/164]  eta: 0:00:01  lr: 0.000062  loss: 4.0181 (4.1072)  time: 0.3821  data: 0.0001  max mem: 4478\n",
            "Epoch: [6]  [163/164]  eta: 0:00:00  lr: 0.000062  loss: 4.0181 (4.1079)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [6] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000062  loss: 4.0181 (4.1079)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.6505 (3.6505)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 3.7722  data: 3.4528  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.2498 (3.1761)  acc1: 0.0000 (13.6364)  acc5: 41.6667 (45.3598)  time: 0.6125  data: 0.3902  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3293 (3.6198)  acc1: 0.0000 (7.5039)  acc5: 29.1667 (35.7999)  time: 0.4286  data: 0.2147  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4420 s / it)\n",
            "* Acc@1 7.504 Acc@5 35.800 loss 3.620\n",
            "Accuracy of the network on the 1919 test images: 7.5%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [7]  [  0/164]  eta: 0:09:30  lr: 0.000062  loss: 4.5828 (4.5828)  time: 3.4759  data: 2.7041  max mem: 4478\n",
            "Epoch: [7]  [ 10/164]  eta: 0:02:10  lr: 0.000062  loss: 4.0948 (4.1458)  time: 0.8476  data: 0.2662  max mem: 4478\n",
            "Epoch: [7]  [ 20/164]  eta: 0:01:31  lr: 0.000062  loss: 4.0948 (4.1371)  time: 0.4966  data: 0.0113  max mem: 4478\n",
            "Epoch: [7]  [ 30/164]  eta: 0:01:15  lr: 0.000062  loss: 4.1211 (4.1272)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 40/164]  eta: 0:01:05  lr: 0.000062  loss: 4.1346 (4.1331)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 50/164]  eta: 0:00:57  lr: 0.000062  loss: 3.9692 (4.1045)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 60/164]  eta: 0:00:51  lr: 0.000062  loss: 4.0327 (4.1363)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 70/164]  eta: 0:00:45  lr: 0.000062  loss: 4.1229 (4.1226)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 80/164]  eta: 0:00:39  lr: 0.000062  loss: 4.0391 (4.1113)  time: 0.4185  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [ 90/164]  eta: 0:00:34  lr: 0.000062  loss: 4.0767 (4.1141)  time: 0.4177  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [100/164]  eta: 0:00:29  lr: 0.000062  loss: 4.0824 (4.1113)  time: 0.4187  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [110/164]  eta: 0:00:24  lr: 0.000062  loss: 4.0657 (4.1038)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [120/164]  eta: 0:00:19  lr: 0.000062  loss: 4.0713 (4.1072)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [130/164]  eta: 0:00:15  lr: 0.000062  loss: 4.1490 (4.1156)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [140/164]  eta: 0:00:10  lr: 0.000062  loss: 4.1480 (4.1157)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [150/164]  eta: 0:00:06  lr: 0.000062  loss: 4.0692 (4.1087)  time: 0.3980  data: 0.0002  max mem: 4478\n",
            "Epoch: [7]  [160/164]  eta: 0:00:01  lr: 0.000062  loss: 4.0092 (4.1033)  time: 0.3850  data: 0.0001  max mem: 4478\n",
            "Epoch: [7]  [163/164]  eta: 0:00:00  lr: 0.000062  loss: 4.0077 (4.1038)  time: 0.3797  data: 0.0001  max mem: 4478\n",
            "Epoch: [7] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000062  loss: 4.0077 (4.1038)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.6513 (3.6513)  acc1: 0.0000 (0.0000)  acc5: 15.6250 (15.6250)  time: 3.5407  data: 3.2782  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2384 (3.1708)  acc1: 0.0000 (13.5417)  acc5: 41.6667 (46.6856)  time: 0.5971  data: 0.3768  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3215 (3.6104)  acc1: 0.0000 (7.4518)  acc5: 23.9583 (35.6957)  time: 0.4211  data: 0.2091  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4367 s / it)\n",
            "* Acc@1 7.452 Acc@5 35.696 loss 3.610\n",
            "Accuracy of the network on the 1919 test images: 7.5%\n",
            "Max accuracy: 8.29%\n",
            "Epoch: [8]  [  0/164]  eta: 0:11:22  lr: 0.000062  loss: 4.5787 (4.5787)  time: 4.1598  data: 3.4837  max mem: 4478\n",
            "Epoch: [8]  [ 10/164]  eta: 0:02:15  lr: 0.000062  loss: 4.1026 (4.1434)  time: 0.8775  data: 0.3193  max mem: 4478\n",
            "Epoch: [8]  [ 20/164]  eta: 0:01:34  lr: 0.000062  loss: 4.1026 (4.1317)  time: 0.4825  data: 0.0015  max mem: 4478\n",
            "Epoch: [8]  [ 30/164]  eta: 0:01:17  lr: 0.000062  loss: 4.1111 (4.1240)  time: 0.4141  data: 0.0001  max mem: 4478\n",
            "Epoch: [8]  [ 40/164]  eta: 0:01:06  lr: 0.000062  loss: 4.1316 (4.1291)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [ 50/164]  eta: 0:00:58  lr: 0.000062  loss: 3.9654 (4.1011)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [ 60/164]  eta: 0:00:51  lr: 0.000062  loss: 4.0416 (4.1339)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [ 70/164]  eta: 0:00:45  lr: 0.000062  loss: 4.0950 (4.1197)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [ 80/164]  eta: 0:00:40  lr: 0.000062  loss: 4.0291 (4.1087)  time: 0.4175  data: 0.0003  max mem: 4478\n",
            "Epoch: [8]  [ 90/164]  eta: 0:00:34  lr: 0.000062  loss: 4.0721 (4.1119)  time: 0.4164  data: 0.0003  max mem: 4478\n",
            "Epoch: [8]  [100/164]  eta: 0:00:29  lr: 0.000062  loss: 4.0845 (4.1092)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [110/164]  eta: 0:00:24  lr: 0.000062  loss: 4.0659 (4.1020)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [120/164]  eta: 0:00:20  lr: 0.000062  loss: 4.0624 (4.1053)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [130/164]  eta: 0:00:15  lr: 0.000062  loss: 4.1482 (4.1139)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [140/164]  eta: 0:00:10  lr: 0.000062  loss: 4.1600 (4.1140)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [8]  [150/164]  eta: 0:00:06  lr: 0.000062  loss: 4.0586 (4.1072)  time: 0.3996  data: 0.0001  max mem: 4478\n",
            "Epoch: [8]  [160/164]  eta: 0:00:01  lr: 0.000062  loss: 4.0027 (4.1014)  time: 0.3826  data: 0.0001  max mem: 4478\n",
            "Epoch: [8]  [163/164]  eta: 0:00:00  lr: 0.000062  loss: 3.9963 (4.1020)  time: 0.3785  data: 0.0001  max mem: 4478\n",
            "Epoch: [8] Total time: 0:01:12 (0.4427 s / it)\n",
            "Averaged stats: lr: 0.000062  loss: 3.9963 (4.1020)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.6918 (3.6918)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7884  data: 3.4548  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2202 (3.1734)  acc1: 0.0000 (15.6250)  acc5: 41.6667 (45.2652)  time: 0.5969  data: 0.3747  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3324 (3.6070)  acc1: 0.0000 (8.5982)  acc5: 29.1667 (35.7478)  time: 0.4199  data: 0.2071  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4334 s / it)\n",
            "* Acc@1 8.598 Acc@5 35.748 loss 3.607\n",
            "Accuracy of the network on the 1919 test images: 8.6%\n",
            "Max accuracy: 8.60%\n",
            "Epoch: [9]  [  0/164]  eta: 0:11:10  lr: 0.000062  loss: 4.5706 (4.5706)  time: 4.0898  data: 3.3222  max mem: 4478\n",
            "Epoch: [9]  [ 10/164]  eta: 0:02:15  lr: 0.000062  loss: 4.0935 (4.1390)  time: 0.8823  data: 0.3037  max mem: 4478\n",
            "Epoch: [9]  [ 20/164]  eta: 0:01:35  lr: 0.000062  loss: 4.0935 (4.1279)  time: 0.4882  data: 0.0010  max mem: 4478\n",
            "Epoch: [9]  [ 30/164]  eta: 0:01:17  lr: 0.000062  loss: 4.1021 (4.1217)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 40/164]  eta: 0:01:07  lr: 0.000062  loss: 4.1326 (4.1280)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 50/164]  eta: 0:00:58  lr: 0.000062  loss: 3.9654 (4.1001)  time: 0.4162  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 60/164]  eta: 0:00:51  lr: 0.000062  loss: 4.0348 (4.1329)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 70/164]  eta: 0:00:45  lr: 0.000062  loss: 4.0976 (4.1187)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 80/164]  eta: 0:00:40  lr: 0.000062  loss: 4.0243 (4.1078)  time: 0.4255  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [ 90/164]  eta: 0:00:35  lr: 0.000062  loss: 4.0752 (4.1109)  time: 0.4189  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [100/164]  eta: 0:00:29  lr: 0.000062  loss: 4.0811 (4.1082)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [110/164]  eta: 0:00:24  lr: 0.000062  loss: 4.0688 (4.1008)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [120/164]  eta: 0:00:20  lr: 0.000062  loss: 4.0567 (4.1042)  time: 0.4117  data: 0.0005  max mem: 4478\n",
            "Epoch: [9]  [130/164]  eta: 0:00:15  lr: 0.000062  loss: 4.1579 (4.1128)  time: 0.4144  data: 0.0005  max mem: 4478\n",
            "Epoch: [9]  [140/164]  eta: 0:00:10  lr: 0.000062  loss: 4.1476 (4.1130)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [9]  [150/164]  eta: 0:00:06  lr: 0.000062  loss: 4.0682 (4.1061)  time: 0.4016  data: 0.0001  max mem: 4478\n",
            "Epoch: [9]  [160/164]  eta: 0:00:01  lr: 0.000062  loss: 4.0016 (4.1002)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [9]  [163/164]  eta: 0:00:00  lr: 0.000062  loss: 4.0016 (4.1008)  time: 0.3787  data: 0.0001  max mem: 4478\n",
            "Epoch: [9] Total time: 0:01:12 (0.4440 s / it)\n",
            "Averaged stats: lr: 0.000062  loss: 4.0016 (4.1008)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.7135 (3.7135)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5985  data: 3.3447  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.2304 (3.1719)  acc1: 1.0417 (16.0038)  acc5: 41.6667 (45.2652)  time: 0.6010  data: 0.3824  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3252 (3.6081)  acc1: 0.0000 (8.8067)  acc5: 29.1667 (35.7478)  time: 0.4224  data: 0.2103  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4357 s / it)\n",
            "* Acc@1 8.807 Acc@5 35.748 loss 3.608\n",
            "Accuracy of the network on the 1919 test images: 8.8%\n",
            "Max accuracy: 8.81%\n",
            "Epoch: [10]  [  0/164]  eta: 0:12:03  lr: 0.000061  loss: 4.5812 (4.5812)  time: 4.4102  data: 3.6310  max mem: 4478\n",
            "Epoch: [10]  [ 10/164]  eta: 0:02:18  lr: 0.000061  loss: 4.0916 (4.1388)  time: 0.8998  data: 0.3329  max mem: 4478\n",
            "Epoch: [10]  [ 20/164]  eta: 0:01:36  lr: 0.000061  loss: 4.0916 (4.1277)  time: 0.4816  data: 0.0016  max mem: 4478\n",
            "Epoch: [10]  [ 30/164]  eta: 0:01:18  lr: 0.000061  loss: 4.1069 (4.1212)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 40/164]  eta: 0:01:07  lr: 0.000061  loss: 4.1198 (4.1276)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 50/164]  eta: 0:00:58  lr: 0.000061  loss: 3.9690 (4.1001)  time: 0.4097  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 60/164]  eta: 0:00:51  lr: 0.000061  loss: 4.0346 (4.1325)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 70/164]  eta: 0:00:45  lr: 0.000061  loss: 4.0830 (4.1180)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 80/164]  eta: 0:00:40  lr: 0.000061  loss: 4.0284 (4.1070)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [ 90/164]  eta: 0:00:34  lr: 0.000061  loss: 4.0708 (4.1098)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [100/164]  eta: 0:00:29  lr: 0.000061  loss: 4.0833 (4.1070)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [110/164]  eta: 0:00:24  lr: 0.000061  loss: 4.0628 (4.0999)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [120/164]  eta: 0:00:20  lr: 0.000061  loss: 4.0684 (4.1030)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [130/164]  eta: 0:00:15  lr: 0.000061  loss: 4.1536 (4.1118)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [140/164]  eta: 0:00:10  lr: 0.000061  loss: 4.1476 (4.1120)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [10]  [150/164]  eta: 0:00:06  lr: 0.000061  loss: 4.0631 (4.1051)  time: 0.4002  data: 0.0001  max mem: 4478\n",
            "Epoch: [10]  [160/164]  eta: 0:00:01  lr: 0.000061  loss: 4.0039 (4.0992)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [10]  [163/164]  eta: 0:00:00  lr: 0.000061  loss: 3.9988 (4.0999)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [10] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000061  loss: 3.9988 (4.0999)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.7201 (3.7201)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4802  data: 3.2267  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2248 (3.1767)  acc1: 0.0000 (16.4773)  acc5: 41.6667 (45.4545)  time: 0.5879  data: 0.3773  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3380 (3.6067)  acc1: 0.0000 (9.0672)  acc5: 29.1667 (35.7999)  time: 0.4211  data: 0.2148  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4348 s / it)\n",
            "* Acc@1 9.067 Acc@5 35.800 loss 3.607\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.07%\n",
            "Epoch: [11]  [  0/164]  eta: 0:10:21  lr: 0.000061  loss: 4.5698 (4.5698)  time: 3.7923  data: 3.0028  max mem: 4478\n",
            "Epoch: [11]  [ 10/164]  eta: 0:02:15  lr: 0.000061  loss: 4.0787 (4.1381)  time: 0.8789  data: 0.2798  max mem: 4478\n",
            "Epoch: [11]  [ 20/164]  eta: 0:01:35  lr: 0.000061  loss: 4.0787 (4.1254)  time: 0.5045  data: 0.0039  max mem: 4478\n",
            "Epoch: [11]  [ 30/164]  eta: 0:01:17  lr: 0.000061  loss: 4.1028 (4.1193)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 40/164]  eta: 0:01:06  lr: 0.000061  loss: 4.1182 (4.1256)  time: 0.4077  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 50/164]  eta: 0:00:58  lr: 0.000061  loss: 3.9680 (4.0978)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 60/164]  eta: 0:00:51  lr: 0.000061  loss: 4.0350 (4.1307)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 70/164]  eta: 0:00:45  lr: 0.000061  loss: 4.0937 (4.1166)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 80/164]  eta: 0:00:40  lr: 0.000061  loss: 4.0152 (4.1057)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [ 90/164]  eta: 0:00:34  lr: 0.000061  loss: 4.0714 (4.1089)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [100/164]  eta: 0:00:29  lr: 0.000061  loss: 4.0784 (4.1065)  time: 0.4162  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [110/164]  eta: 0:00:24  lr: 0.000061  loss: 4.0705 (4.0991)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [120/164]  eta: 0:00:20  lr: 0.000061  loss: 4.0662 (4.1025)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [130/164]  eta: 0:00:15  lr: 0.000061  loss: 4.1544 (4.1112)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [140/164]  eta: 0:00:10  lr: 0.000061  loss: 4.1498 (4.1112)  time: 0.4067  data: 0.0002  max mem: 4478\n",
            "Epoch: [11]  [150/164]  eta: 0:00:06  lr: 0.000061  loss: 4.0603 (4.1041)  time: 0.3962  data: 0.0001  max mem: 4478\n",
            "Epoch: [11]  [160/164]  eta: 0:00:01  lr: 0.000061  loss: 4.0045 (4.0982)  time: 0.3829  data: 0.0001  max mem: 4478\n",
            "Epoch: [11]  [163/164]  eta: 0:00:00  lr: 0.000061  loss: 3.9924 (4.0989)  time: 0.3786  data: 0.0001  max mem: 4478\n",
            "Epoch: [11] Total time: 0:01:12 (0.4411 s / it)\n",
            "Averaged stats: lr: 0.000061  loss: 3.9924 (4.0989)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6992 (3.6992)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4793  data: 3.2299  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2157 (3.1773)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (52.7462)  time: 0.5878  data: 0.3749  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3526 (3.6051)  acc1: 0.0000 (9.0672)  acc5: 16.6667 (36.7379)  time: 0.4151  data: 0.2075  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4302 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.738 loss 3.605\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.07%\n",
            "Epoch: [12]  [  0/164]  eta: 0:09:45  lr: 0.000061  loss: 4.5838 (4.5838)  time: 3.5729  data: 2.7598  max mem: 4478\n",
            "Epoch: [12]  [ 10/164]  eta: 0:02:13  lr: 0.000061  loss: 4.0719 (4.1369)  time: 0.8683  data: 0.2525  max mem: 4478\n",
            "Epoch: [12]  [ 20/164]  eta: 0:01:33  lr: 0.000061  loss: 4.0719 (4.1251)  time: 0.5038  data: 0.0010  max mem: 4478\n",
            "Epoch: [12]  [ 30/164]  eta: 0:01:16  lr: 0.000061  loss: 4.1081 (4.1186)  time: 0.4094  data: 0.0001  max mem: 4478\n",
            "Epoch: [12]  [ 40/164]  eta: 0:01:06  lr: 0.000061  loss: 4.1281 (4.1247)  time: 0.4120  data: 0.0001  max mem: 4478\n",
            "Epoch: [12]  [ 50/164]  eta: 0:00:58  lr: 0.000061  loss: 3.9739 (4.0972)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [ 60/164]  eta: 0:00:51  lr: 0.000061  loss: 4.0416 (4.1304)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [ 70/164]  eta: 0:00:45  lr: 0.000061  loss: 4.0913 (4.1159)  time: 0.4208  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [ 80/164]  eta: 0:00:39  lr: 0.000061  loss: 4.0207 (4.1049)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [ 90/164]  eta: 0:00:34  lr: 0.000061  loss: 4.0648 (4.1081)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [100/164]  eta: 0:00:29  lr: 0.000061  loss: 4.0857 (4.1058)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [110/164]  eta: 0:00:24  lr: 0.000061  loss: 4.0677 (4.0986)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [120/164]  eta: 0:00:20  lr: 0.000061  loss: 4.0677 (4.1018)  time: 0.4160  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [130/164]  eta: 0:00:15  lr: 0.000061  loss: 4.1552 (4.1106)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [140/164]  eta: 0:00:10  lr: 0.000061  loss: 4.1423 (4.1115)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [12]  [150/164]  eta: 0:00:06  lr: 0.000061  loss: 4.0694 (4.1045)  time: 0.4006  data: 0.0001  max mem: 4478\n",
            "Epoch: [12]  [160/164]  eta: 0:00:01  lr: 0.000061  loss: 4.0041 (4.0984)  time: 0.3841  data: 0.0001  max mem: 4478\n",
            "Epoch: [12]  [163/164]  eta: 0:00:00  lr: 0.000061  loss: 3.9933 (4.0989)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [12] Total time: 0:01:12 (0.4419 s / it)\n",
            "Averaged stats: lr: 0.000061  loss: 3.9933 (4.0989)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.7295 (3.7295)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.0742  data: 3.8207  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.2042 (3.1732)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (52.7462)  time: 0.6090  data: 0.3972  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3451 (3.6033)  acc1: 0.0000 (9.0672)  acc5: 16.6667 (36.7379)  time: 0.4266  data: 0.2185  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4403 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.738 loss 3.603\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.07%\n",
            "Epoch: [13]  [  0/164]  eta: 0:13:02  lr: 0.000061  loss: 4.5821 (4.5821)  time: 4.7704  data: 3.9948  max mem: 4478\n",
            "Epoch: [13]  [ 10/164]  eta: 0:02:18  lr: 0.000061  loss: 4.0956 (4.1374)  time: 0.8988  data: 0.3643  max mem: 4478\n",
            "Epoch: [13]  [ 20/164]  eta: 0:01:35  lr: 0.000061  loss: 4.0956 (4.1252)  time: 0.4595  data: 0.0007  max mem: 4478\n",
            "Epoch: [13]  [ 30/164]  eta: 0:01:18  lr: 0.000061  loss: 4.1043 (4.1189)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [ 40/164]  eta: 0:01:07  lr: 0.000061  loss: 4.1095 (4.1249)  time: 0.4149  data: 0.0005  max mem: 4478\n",
            "Epoch: [13]  [ 50/164]  eta: 0:00:58  lr: 0.000061  loss: 3.9722 (4.0976)  time: 0.4151  data: 0.0004  max mem: 4478\n",
            "Epoch: [13]  [ 60/164]  eta: 0:00:52  lr: 0.000061  loss: 4.0347 (4.1302)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [ 70/164]  eta: 0:00:45  lr: 0.000061  loss: 4.0936 (4.1159)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [ 80/164]  eta: 0:00:40  lr: 0.000061  loss: 4.0087 (4.1045)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [ 90/164]  eta: 0:00:35  lr: 0.000061  loss: 4.0697 (4.1076)  time: 0.4182  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [100/164]  eta: 0:00:29  lr: 0.000061  loss: 4.0812 (4.1052)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [110/164]  eta: 0:00:24  lr: 0.000061  loss: 4.0687 (4.0980)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [120/164]  eta: 0:00:20  lr: 0.000061  loss: 4.0745 (4.1014)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [130/164]  eta: 0:00:15  lr: 0.000061  loss: 4.1579 (4.1101)  time: 0.4192  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [140/164]  eta: 0:00:10  lr: 0.000061  loss: 4.1365 (4.1099)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [13]  [150/164]  eta: 0:00:06  lr: 0.000061  loss: 4.0698 (4.1032)  time: 0.3979  data: 0.0001  max mem: 4478\n",
            "Epoch: [13]  [160/164]  eta: 0:00:01  lr: 0.000061  loss: 4.0095 (4.0973)  time: 0.3840  data: 0.0001  max mem: 4478\n",
            "Epoch: [13]  [163/164]  eta: 0:00:00  lr: 0.000061  loss: 3.9855 (4.0978)  time: 0.3784  data: 0.0001  max mem: 4478\n",
            "Epoch: [13] Total time: 0:01:12 (0.4445 s / it)\n",
            "Averaged stats: lr: 0.000061  loss: 3.9855 (4.0978)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.7164 (3.7164)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5305  data: 3.2554  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2013 (3.1744)  acc1: 0.0000 (16.6667)  acc5: 46.8750 (53.0303)  time: 0.5872  data: 0.3738  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3517 (3.6033)  acc1: 0.0000 (9.1714)  acc5: 16.6667 (36.7900)  time: 0.4215  data: 0.2134  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4358 s / it)\n",
            "* Acc@1 9.171 Acc@5 36.790 loss 3.603\n",
            "Accuracy of the network on the 1919 test images: 9.2%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [14]  [  0/164]  eta: 0:11:08  lr: 0.000060  loss: 4.5757 (4.5757)  time: 4.0742  data: 3.3171  max mem: 4478\n",
            "Epoch: [14]  [ 10/164]  eta: 0:02:14  lr: 0.000060  loss: 4.0765 (4.1349)  time: 0.8745  data: 0.3039  max mem: 4478\n",
            "Epoch: [14]  [ 20/164]  eta: 0:01:34  lr: 0.000060  loss: 4.0765 (4.1236)  time: 0.4847  data: 0.0014  max mem: 4478\n",
            "Epoch: [14]  [ 30/164]  eta: 0:01:17  lr: 0.000060  loss: 4.1021 (4.1176)  time: 0.4118  data: 0.0001  max mem: 4478\n",
            "Epoch: [14]  [ 40/164]  eta: 0:01:06  lr: 0.000060  loss: 4.1315 (4.1245)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [ 50/164]  eta: 0:00:58  lr: 0.000060  loss: 3.9829 (4.0972)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [ 60/164]  eta: 0:00:51  lr: 0.000060  loss: 4.0232 (4.1297)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [ 70/164]  eta: 0:00:45  lr: 0.000060  loss: 4.1013 (4.1153)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [ 80/164]  eta: 0:00:40  lr: 0.000060  loss: 4.0044 (4.1041)  time: 0.4206  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [ 90/164]  eta: 0:00:34  lr: 0.000060  loss: 4.0641 (4.1072)  time: 0.4231  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [100/164]  eta: 0:00:29  lr: 0.000060  loss: 4.0757 (4.1045)  time: 0.4201  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [110/164]  eta: 0:00:24  lr: 0.000060  loss: 4.0716 (4.0975)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [120/164]  eta: 0:00:20  lr: 0.000060  loss: 4.0759 (4.1006)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [130/164]  eta: 0:00:15  lr: 0.000060  loss: 4.1481 (4.1095)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [140/164]  eta: 0:00:10  lr: 0.000060  loss: 4.1504 (4.1096)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [14]  [150/164]  eta: 0:00:06  lr: 0.000060  loss: 4.0668 (4.1027)  time: 0.3992  data: 0.0001  max mem: 4478\n",
            "Epoch: [14]  [160/164]  eta: 0:00:01  lr: 0.000060  loss: 3.9985 (4.0967)  time: 0.3840  data: 0.0001  max mem: 4478\n",
            "Epoch: [14]  [163/164]  eta: 0:00:00  lr: 0.000060  loss: 3.9957 (4.0972)  time: 0.3792  data: 0.0001  max mem: 4478\n",
            "Epoch: [14] Total time: 0:01:12 (0.4424 s / it)\n",
            "Averaged stats: lr: 0.000060  loss: 3.9957 (4.0972)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.7460 (3.7460)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4013  data: 3.1132  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1961 (3.1739)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (53.1250)  time: 0.5894  data: 0.3779  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3524 (3.6017)  acc1: 0.0000 (9.0672)  acc5: 16.6667 (36.7379)  time: 0.4266  data: 0.2193  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4425 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.738 loss 3.602\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [15]  [  0/164]  eta: 0:11:11  lr: 0.000060  loss: 4.5863 (4.5863)  time: 4.0969  data: 3.2782  max mem: 4478\n",
            "Epoch: [15]  [ 10/164]  eta: 0:02:13  lr: 0.000060  loss: 4.0668 (4.1330)  time: 0.8696  data: 0.3009  max mem: 4478\n",
            "Epoch: [15]  [ 20/164]  eta: 0:01:33  lr: 0.000060  loss: 4.0668 (4.1213)  time: 0.4787  data: 0.0016  max mem: 4478\n",
            "Epoch: [15]  [ 30/164]  eta: 0:01:16  lr: 0.000060  loss: 4.0986 (4.1175)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 40/164]  eta: 0:01:06  lr: 0.000060  loss: 4.1224 (4.1234)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 50/164]  eta: 0:00:58  lr: 0.000060  loss: 3.9767 (4.0956)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 60/164]  eta: 0:00:51  lr: 0.000060  loss: 4.0287 (4.1279)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 70/164]  eta: 0:00:45  lr: 0.000060  loss: 4.0837 (4.1139)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 80/164]  eta: 0:00:39  lr: 0.000060  loss: 4.0119 (4.1029)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [ 90/164]  eta: 0:00:34  lr: 0.000060  loss: 4.0666 (4.1064)  time: 0.4187  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [100/164]  eta: 0:00:29  lr: 0.000060  loss: 4.0824 (4.1040)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [110/164]  eta: 0:00:24  lr: 0.000060  loss: 4.0683 (4.0967)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [120/164]  eta: 0:00:19  lr: 0.000060  loss: 4.0749 (4.1003)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [130/164]  eta: 0:00:15  lr: 0.000060  loss: 4.1567 (4.1090)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [140/164]  eta: 0:00:10  lr: 0.000060  loss: 4.1405 (4.1091)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [15]  [150/164]  eta: 0:00:06  lr: 0.000060  loss: 4.0695 (4.1021)  time: 0.4008  data: 0.0001  max mem: 4478\n",
            "Epoch: [15]  [160/164]  eta: 0:00:01  lr: 0.000060  loss: 4.0059 (4.0960)  time: 0.3846  data: 0.0001  max mem: 4478\n",
            "Epoch: [15]  [163/164]  eta: 0:00:00  lr: 0.000060  loss: 3.9943 (4.0967)  time: 0.3787  data: 0.0001  max mem: 4478\n",
            "Epoch: [15] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000060  loss: 3.9943 (4.0967)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.7434 (3.7434)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9692  data: 3.7198  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.2158 (3.1825)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (53.1250)  time: 0.6064  data: 0.3940  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3617 (3.6019)  acc1: 0.0000 (9.0672)  acc5: 16.6667 (36.7379)  time: 0.4251  data: 0.2167  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4397 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.738 loss 3.602\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [16]  [  0/164]  eta: 0:11:30  lr: 0.000060  loss: 4.5781 (4.5781)  time: 4.2089  data: 3.4909  max mem: 4478\n",
            "Epoch: [16]  [ 10/164]  eta: 0:02:13  lr: 0.000060  loss: 4.0690 (4.1311)  time: 0.8681  data: 0.3183  max mem: 4478\n",
            "Epoch: [16]  [ 20/164]  eta: 0:01:33  lr: 0.000060  loss: 4.0702 (4.1212)  time: 0.4707  data: 0.0006  max mem: 4478\n",
            "Epoch: [16]  [ 30/164]  eta: 0:01:16  lr: 0.000060  loss: 4.1118 (4.1150)  time: 0.4057  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 40/164]  eta: 0:01:05  lr: 0.000060  loss: 4.1189 (4.1220)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 50/164]  eta: 0:00:57  lr: 0.000060  loss: 3.9776 (4.0953)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 60/164]  eta: 0:00:51  lr: 0.000060  loss: 4.0288 (4.1272)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 70/164]  eta: 0:00:45  lr: 0.000060  loss: 4.0800 (4.1132)  time: 0.4204  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 80/164]  eta: 0:00:39  lr: 0.000060  loss: 4.0138 (4.1024)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [ 90/164]  eta: 0:00:34  lr: 0.000060  loss: 4.0693 (4.1057)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [100/164]  eta: 0:00:29  lr: 0.000060  loss: 4.0877 (4.1033)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [110/164]  eta: 0:00:24  lr: 0.000060  loss: 4.0658 (4.0967)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [120/164]  eta: 0:00:20  lr: 0.000060  loss: 4.0722 (4.0997)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [130/164]  eta: 0:00:15  lr: 0.000060  loss: 4.1507 (4.1087)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [16]  [140/164]  eta: 0:00:10  lr: 0.000060  loss: 4.1345 (4.1086)  time: 0.4076  data: 0.0001  max mem: 4478\n",
            "Epoch: [16]  [150/164]  eta: 0:00:06  lr: 0.000060  loss: 4.0583 (4.1018)  time: 0.3963  data: 0.0001  max mem: 4478\n",
            "Epoch: [16]  [160/164]  eta: 0:00:01  lr: 0.000060  loss: 3.9964 (4.0956)  time: 0.3820  data: 0.0001  max mem: 4478\n",
            "Epoch: [16]  [163/164]  eta: 0:00:00  lr: 0.000060  loss: 3.9944 (4.0963)  time: 0.3776  data: 0.0001  max mem: 4478\n",
            "Epoch: [16] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000060  loss: 3.9944 (4.0963)\n",
            "Test:  [ 0/20]  eta: 0:01:28  loss: 3.7433 (3.7433)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.4029  data: 4.0936  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1880 (3.1765)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (53.1250)  time: 0.6126  data: 0.3969  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3627 (3.6010)  acc1: 0.0000 (9.0672)  acc5: 16.6667 (36.7379)  time: 0.4283  data: 0.2183  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4416 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.738 loss 3.601\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [17]  [  0/164]  eta: 0:10:49  lr: 0.000059  loss: 4.5806 (4.5806)  time: 3.9616  data: 3.1195  max mem: 4478\n",
            "Epoch: [17]  [ 10/164]  eta: 0:02:14  lr: 0.000059  loss: 4.0670 (4.1305)  time: 0.8762  data: 0.2857  max mem: 4478\n",
            "Epoch: [17]  [ 20/164]  eta: 0:01:34  lr: 0.000059  loss: 4.0670 (4.1212)  time: 0.4907  data: 0.0019  max mem: 4478\n",
            "Epoch: [17]  [ 30/164]  eta: 0:01:17  lr: 0.000059  loss: 4.1093 (4.1157)  time: 0.4150  data: 0.0008  max mem: 4478\n",
            "Epoch: [17]  [ 40/164]  eta: 0:01:07  lr: 0.000059  loss: 4.1271 (4.1223)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [ 50/164]  eta: 0:00:58  lr: 0.000059  loss: 3.9808 (4.0953)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [ 60/164]  eta: 0:00:51  lr: 0.000059  loss: 4.0268 (4.1277)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [ 70/164]  eta: 0:00:45  lr: 0.000059  loss: 4.0773 (4.1131)  time: 0.4235  data: 0.0009  max mem: 4478\n",
            "Epoch: [17]  [ 80/164]  eta: 0:00:40  lr: 0.000059  loss: 4.0160 (4.1024)  time: 0.4267  data: 0.0009  max mem: 4478\n",
            "Epoch: [17]  [ 90/164]  eta: 0:00:35  lr: 0.000059  loss: 4.0673 (4.1056)  time: 0.4199  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [100/164]  eta: 0:00:29  lr: 0.000059  loss: 4.0751 (4.1032)  time: 0.4176  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [110/164]  eta: 0:00:25  lr: 0.000059  loss: 4.0676 (4.0960)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [120/164]  eta: 0:00:20  lr: 0.000059  loss: 4.0746 (4.0993)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [130/164]  eta: 0:00:15  lr: 0.000059  loss: 4.1512 (4.1082)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [140/164]  eta: 0:00:10  lr: 0.000059  loss: 4.1350 (4.1081)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [17]  [150/164]  eta: 0:00:06  lr: 0.000059  loss: 4.0665 (4.1011)  time: 0.3994  data: 0.0001  max mem: 4478\n",
            "Epoch: [17]  [160/164]  eta: 0:00:01  lr: 0.000059  loss: 4.0061 (4.0949)  time: 0.3842  data: 0.0001  max mem: 4478\n",
            "Epoch: [17]  [163/164]  eta: 0:00:00  lr: 0.000059  loss: 3.9908 (4.0955)  time: 0.3790  data: 0.0001  max mem: 4478\n",
            "Epoch: [17] Total time: 0:01:12 (0.4443 s / it)\n",
            "Averaged stats: lr: 0.000059  loss: 3.9908 (4.0955)\n",
            "Test:  [ 0/20]  eta: 0:01:24  loss: 3.7607 (3.7607)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.2311  data: 3.9280  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1925 (3.1754)  acc1: 0.0000 (16.3826)  acc5: 46.8750 (51.7992)  time: 0.6250  data: 0.4110  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3621 (3.6001)  acc1: 0.0000 (9.0151)  acc5: 16.6667 (36.1647)  time: 0.4353  data: 0.2261  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4489 s / it)\n",
            "* Acc@1 9.015 Acc@5 36.165 loss 3.600\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [18]  [  0/164]  eta: 0:10:36  lr: 0.000059  loss: 4.5658 (4.5658)  time: 3.8788  data: 3.0622  max mem: 4478\n",
            "Epoch: [18]  [ 10/164]  eta: 0:02:13  lr: 0.000059  loss: 4.0800 (4.1325)  time: 0.8667  data: 0.2826  max mem: 4478\n",
            "Epoch: [18]  [ 20/164]  eta: 0:01:33  lr: 0.000059  loss: 4.0800 (4.1202)  time: 0.4875  data: 0.0024  max mem: 4478\n",
            "Epoch: [18]  [ 30/164]  eta: 0:01:16  lr: 0.000059  loss: 4.0957 (4.1159)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [ 40/164]  eta: 0:01:06  lr: 0.000059  loss: 4.1163 (4.1221)  time: 0.4101  data: 0.0001  max mem: 4478\n",
            "Epoch: [18]  [ 50/164]  eta: 0:00:58  lr: 0.000059  loss: 3.9768 (4.0950)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [ 60/164]  eta: 0:00:51  lr: 0.000059  loss: 4.0262 (4.1274)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [ 70/164]  eta: 0:00:45  lr: 0.000059  loss: 4.0780 (4.1134)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [ 80/164]  eta: 0:00:39  lr: 0.000059  loss: 4.0013 (4.1022)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [ 90/164]  eta: 0:00:34  lr: 0.000059  loss: 4.0652 (4.1054)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [100/164]  eta: 0:00:29  lr: 0.000059  loss: 4.0871 (4.1030)  time: 0.4182  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [110/164]  eta: 0:00:24  lr: 0.000059  loss: 4.0711 (4.0960)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [120/164]  eta: 0:00:20  lr: 0.000059  loss: 4.0692 (4.0990)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [130/164]  eta: 0:00:15  lr: 0.000059  loss: 4.1516 (4.1077)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [140/164]  eta: 0:00:10  lr: 0.000059  loss: 4.1377 (4.1077)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [18]  [150/164]  eta: 0:00:06  lr: 0.000059  loss: 4.0646 (4.1008)  time: 0.4015  data: 0.0001  max mem: 4478\n",
            "Epoch: [18]  [160/164]  eta: 0:00:01  lr: 0.000059  loss: 3.9985 (4.0946)  time: 0.3847  data: 0.0001  max mem: 4478\n",
            "Epoch: [18]  [163/164]  eta: 0:00:00  lr: 0.000059  loss: 3.9985 (4.0954)  time: 0.3782  data: 0.0001  max mem: 4478\n",
            "Epoch: [18] Total time: 0:01:12 (0.4419 s / it)\n",
            "Averaged stats: lr: 0.000059  loss: 3.9985 (4.0954)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.7566 (3.7566)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9419  data: 3.6244  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1926 (3.1795)  acc1: 0.0000 (16.2879)  acc5: 46.8750 (52.8409)  time: 0.6110  data: 0.3893  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3635 (3.5997)  acc1: 0.0000 (8.9630)  acc5: 30.2083 (36.6858)  time: 0.4275  data: 0.2142  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4398 s / it)\n",
            "* Acc@1 8.963 Acc@5 36.686 loss 3.600\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [19]  [  0/164]  eta: 0:11:17  lr: 0.000058  loss: 4.5675 (4.5675)  time: 4.1301  data: 3.3549  max mem: 4478\n",
            "Epoch: [19]  [ 10/164]  eta: 0:02:15  lr: 0.000058  loss: 4.0745 (4.1312)  time: 0.8800  data: 0.3067  max mem: 4478\n",
            "Epoch: [19]  [ 20/164]  eta: 0:01:34  lr: 0.000058  loss: 4.0745 (4.1196)  time: 0.4836  data: 0.0013  max mem: 4478\n",
            "Epoch: [19]  [ 30/164]  eta: 0:01:16  lr: 0.000058  loss: 4.1095 (4.1151)  time: 0.4066  data: 0.0005  max mem: 4478\n",
            "Epoch: [19]  [ 40/164]  eta: 0:01:06  lr: 0.000058  loss: 4.1130 (4.1219)  time: 0.4059  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [ 50/164]  eta: 0:00:58  lr: 0.000058  loss: 3.9794 (4.0945)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [ 60/164]  eta: 0:00:51  lr: 0.000058  loss: 4.0356 (4.1269)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [ 70/164]  eta: 0:00:45  lr: 0.000058  loss: 4.0985 (4.1130)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [ 80/164]  eta: 0:00:39  lr: 0.000058  loss: 4.0136 (4.1023)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [ 90/164]  eta: 0:00:34  lr: 0.000058  loss: 4.0633 (4.1055)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [100/164]  eta: 0:00:29  lr: 0.000058  loss: 4.0802 (4.1030)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [110/164]  eta: 0:00:24  lr: 0.000058  loss: 4.0697 (4.0961)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [120/164]  eta: 0:00:20  lr: 0.000058  loss: 4.0824 (4.0995)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [130/164]  eta: 0:00:15  lr: 0.000058  loss: 4.1521 (4.1084)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [140/164]  eta: 0:00:10  lr: 0.000058  loss: 4.1356 (4.1084)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [19]  [150/164]  eta: 0:00:06  lr: 0.000058  loss: 4.0585 (4.1015)  time: 0.3981  data: 0.0001  max mem: 4478\n",
            "Epoch: [19]  [160/164]  eta: 0:00:01  lr: 0.000058  loss: 3.9929 (4.0953)  time: 0.3830  data: 0.0001  max mem: 4478\n",
            "Epoch: [19]  [163/164]  eta: 0:00:00  lr: 0.000058  loss: 3.9884 (4.0959)  time: 0.3783  data: 0.0001  max mem: 4478\n",
            "Epoch: [19] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000058  loss: 3.9884 (4.0959)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7561 (3.7561)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6043  data: 3.3162  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1952 (3.1747)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (52.8409)  time: 0.5801  data: 0.3553  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3637 (3.5991)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (36.4252)  time: 0.4204  data: 0.2060  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4340 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.425 loss 3.599\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [20]  [  0/164]  eta: 0:10:34  lr: 0.000058  loss: 4.5831 (4.5831)  time: 3.8703  data: 3.0461  max mem: 4478\n",
            "Epoch: [20]  [ 10/164]  eta: 0:02:14  lr: 0.000058  loss: 4.0689 (4.1298)  time: 0.8711  data: 0.2795  max mem: 4478\n",
            "Epoch: [20]  [ 20/164]  eta: 0:01:33  lr: 0.000058  loss: 4.0689 (4.1190)  time: 0.4901  data: 0.0015  max mem: 4478\n",
            "Epoch: [20]  [ 30/164]  eta: 0:01:16  lr: 0.000058  loss: 4.0985 (4.1139)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 40/164]  eta: 0:01:06  lr: 0.000058  loss: 4.1218 (4.1212)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 50/164]  eta: 0:00:57  lr: 0.000058  loss: 3.9921 (4.0941)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 60/164]  eta: 0:00:51  lr: 0.000058  loss: 4.0193 (4.1262)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 70/164]  eta: 0:00:45  lr: 0.000058  loss: 4.0830 (4.1116)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 80/164]  eta: 0:00:39  lr: 0.000058  loss: 4.0101 (4.1007)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [ 90/164]  eta: 0:00:34  lr: 0.000058  loss: 4.0596 (4.1039)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [100/164]  eta: 0:00:29  lr: 0.000058  loss: 4.0776 (4.1014)  time: 0.4195  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [110/164]  eta: 0:00:24  lr: 0.000058  loss: 4.0645 (4.0947)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [120/164]  eta: 0:00:19  lr: 0.000058  loss: 4.0636 (4.0980)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [130/164]  eta: 0:00:15  lr: 0.000058  loss: 4.1471 (4.1069)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [140/164]  eta: 0:00:10  lr: 0.000058  loss: 4.1276 (4.1065)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [20]  [150/164]  eta: 0:00:06  lr: 0.000058  loss: 4.0546 (4.0997)  time: 0.4002  data: 0.0001  max mem: 4478\n",
            "Epoch: [20]  [160/164]  eta: 0:00:01  lr: 0.000058  loss: 3.9869 (4.0935)  time: 0.3848  data: 0.0001  max mem: 4478\n",
            "Epoch: [20]  [163/164]  eta: 0:00:00  lr: 0.000058  loss: 3.9778 (4.0942)  time: 0.3780  data: 0.0001  max mem: 4478\n",
            "Epoch: [20] Total time: 0:01:12 (0.4403 s / it)\n",
            "Averaged stats: lr: 0.000058  loss: 3.9778 (4.0942)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7680 (3.7680)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6242  data: 3.2893  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1865 (3.1750)  acc1: 0.0000 (16.3826)  acc5: 48.9583 (53.7879)  time: 0.5884  data: 0.3728  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3638 (3.5981)  acc1: 0.0000 (9.0151)  acc5: 30.2083 (37.4674)  time: 0.4156  data: 0.2051  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4291 s / it)\n",
            "* Acc@1 9.015 Acc@5 37.467 loss 3.598\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [21]  [  0/164]  eta: 0:10:42  lr: 0.000057  loss: 4.5816 (4.5816)  time: 3.9192  data: 3.1191  max mem: 4478\n",
            "Epoch: [21]  [ 10/164]  eta: 0:02:16  lr: 0.000057  loss: 4.0771 (4.1327)  time: 0.8841  data: 0.2868  max mem: 4478\n",
            "Epoch: [21]  [ 20/164]  eta: 0:01:35  lr: 0.000057  loss: 4.0771 (4.1194)  time: 0.4983  data: 0.0019  max mem: 4478\n",
            "Epoch: [21]  [ 30/164]  eta: 0:01:17  lr: 0.000057  loss: 4.1119 (4.1152)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 40/164]  eta: 0:01:06  lr: 0.000057  loss: 4.1177 (4.1213)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 50/164]  eta: 0:00:58  lr: 0.000057  loss: 3.9807 (4.0934)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 60/164]  eta: 0:00:51  lr: 0.000057  loss: 4.0287 (4.1255)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 70/164]  eta: 0:00:45  lr: 0.000057  loss: 4.0748 (4.1108)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 80/164]  eta: 0:00:40  lr: 0.000057  loss: 4.0083 (4.1002)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [ 90/164]  eta: 0:00:34  lr: 0.000057  loss: 4.0746 (4.1036)  time: 0.4173  data: 0.0004  max mem: 4478\n",
            "Epoch: [21]  [100/164]  eta: 0:00:29  lr: 0.000057  loss: 4.0903 (4.1009)  time: 0.4171  data: 0.0004  max mem: 4478\n",
            "Epoch: [21]  [110/164]  eta: 0:00:24  lr: 0.000057  loss: 4.0714 (4.0940)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [120/164]  eta: 0:00:20  lr: 0.000057  loss: 4.0750 (4.0971)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [130/164]  eta: 0:00:15  lr: 0.000057  loss: 4.1449 (4.1060)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [140/164]  eta: 0:00:10  lr: 0.000057  loss: 4.1313 (4.1061)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [21]  [150/164]  eta: 0:00:06  lr: 0.000057  loss: 4.0652 (4.0990)  time: 0.4019  data: 0.0001  max mem: 4478\n",
            "Epoch: [21]  [160/164]  eta: 0:00:01  lr: 0.000057  loss: 3.9890 (4.0930)  time: 0.3851  data: 0.0001  max mem: 4478\n",
            "Epoch: [21]  [163/164]  eta: 0:00:00  lr: 0.000057  loss: 3.9851 (4.0935)  time: 0.3797  data: 0.0001  max mem: 4478\n",
            "Epoch: [21] Total time: 0:01:12 (0.4426 s / it)\n",
            "Averaged stats: lr: 0.000057  loss: 3.9851 (4.0935)\n",
            "Test:  [ 0/20]  eta: 0:01:22  loss: 3.7740 (3.7740)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.1481  data: 3.8140  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1729 (3.1716)  acc1: 0.0000 (15.6250)  acc5: 46.8750 (53.0303)  time: 0.6140  data: 0.4004  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3722 (3.5916)  acc1: 0.0000 (8.5982)  acc5: 30.2083 (36.8942)  time: 0.4295  data: 0.2203  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4431 s / it)\n",
            "* Acc@1 8.598 Acc@5 36.894 loss 3.592\n",
            "Accuracy of the network on the 1919 test images: 8.6%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [22]  [  0/164]  eta: 0:11:03  lr: 0.000057  loss: 4.5732 (4.5732)  time: 4.0466  data: 3.3359  max mem: 4478\n",
            "Epoch: [22]  [ 10/164]  eta: 0:02:15  lr: 0.000057  loss: 4.0856 (4.1303)  time: 0.8791  data: 0.3055  max mem: 4478\n",
            "Epoch: [22]  [ 20/164]  eta: 0:01:34  lr: 0.000057  loss: 4.0856 (4.1196)  time: 0.4849  data: 0.0013  max mem: 4478\n",
            "Epoch: [22]  [ 30/164]  eta: 0:01:17  lr: 0.000057  loss: 4.1065 (4.1136)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [ 40/164]  eta: 0:01:06  lr: 0.000057  loss: 4.1051 (4.1202)  time: 0.4146  data: 0.0003  max mem: 4478\n",
            "Epoch: [22]  [ 50/164]  eta: 0:00:58  lr: 0.000057  loss: 3.9743 (4.0930)  time: 0.4106  data: 0.0003  max mem: 4478\n",
            "Epoch: [22]  [ 60/164]  eta: 0:00:51  lr: 0.000057  loss: 4.0247 (4.1247)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [ 70/164]  eta: 0:00:45  lr: 0.000057  loss: 4.0805 (4.1107)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [ 80/164]  eta: 0:00:39  lr: 0.000057  loss: 4.0082 (4.1001)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [ 90/164]  eta: 0:00:34  lr: 0.000057  loss: 4.0648 (4.1030)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [100/164]  eta: 0:00:29  lr: 0.000057  loss: 4.0852 (4.1006)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [110/164]  eta: 0:00:24  lr: 0.000057  loss: 4.0623 (4.0940)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [120/164]  eta: 0:00:20  lr: 0.000057  loss: 4.0842 (4.0975)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [22]  [130/164]  eta: 0:00:15  lr: 0.000057  loss: 4.1500 (4.1064)  time: 0.4136  data: 0.0004  max mem: 4478\n",
            "Epoch: [22]  [140/164]  eta: 0:00:10  lr: 0.000057  loss: 4.1240 (4.1065)  time: 0.4130  data: 0.0004  max mem: 4478\n",
            "Epoch: [22]  [150/164]  eta: 0:00:06  lr: 0.000057  loss: 4.0675 (4.0996)  time: 0.3998  data: 0.0001  max mem: 4478\n",
            "Epoch: [22]  [160/164]  eta: 0:00:01  lr: 0.000057  loss: 3.9831 (4.0933)  time: 0.3836  data: 0.0001  max mem: 4478\n",
            "Epoch: [22]  [163/164]  eta: 0:00:00  lr: 0.000057  loss: 3.9831 (4.0940)  time: 0.3785  data: 0.0001  max mem: 4478\n",
            "Epoch: [22] Total time: 0:01:12 (0.4418 s / it)\n",
            "Averaged stats: lr: 0.000057  loss: 3.9831 (4.0940)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.7597 (3.7597)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7052  data: 3.3889  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1769 (3.1758)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (53.4091)  time: 0.6074  data: 0.3818  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3689 (3.5952)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (37.1548)  time: 0.4256  data: 0.2100  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4394 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.155 loss 3.595\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [23]  [  0/164]  eta: 0:11:35  lr: 0.000056  loss: 4.5703 (4.5703)  time: 4.2391  data: 3.4338  max mem: 4478\n",
            "Epoch: [23]  [ 10/164]  eta: 0:02:14  lr: 0.000056  loss: 4.0797 (4.1288)  time: 0.8748  data: 0.3156  max mem: 4478\n",
            "Epoch: [23]  [ 20/164]  eta: 0:01:33  lr: 0.000056  loss: 4.0797 (4.1189)  time: 0.4722  data: 0.0020  max mem: 4478\n",
            "Epoch: [23]  [ 30/164]  eta: 0:01:17  lr: 0.000056  loss: 4.0962 (4.1135)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 40/164]  eta: 0:01:06  lr: 0.000056  loss: 4.1166 (4.1201)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 50/164]  eta: 0:00:58  lr: 0.000056  loss: 3.9882 (4.0929)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 60/164]  eta: 0:00:51  lr: 0.000056  loss: 4.0257 (4.1245)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 70/164]  eta: 0:00:45  lr: 0.000056  loss: 4.0755 (4.1104)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 80/164]  eta: 0:00:39  lr: 0.000056  loss: 4.0010 (4.0993)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [ 90/164]  eta: 0:00:34  lr: 0.000056  loss: 4.0696 (4.1026)  time: 0.4186  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [100/164]  eta: 0:00:29  lr: 0.000056  loss: 4.0871 (4.0998)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [110/164]  eta: 0:00:24  lr: 0.000056  loss: 4.0672 (4.0926)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [120/164]  eta: 0:00:20  lr: 0.000056  loss: 4.0554 (4.0961)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [130/164]  eta: 0:00:15  lr: 0.000056  loss: 4.1693 (4.1051)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [140/164]  eta: 0:00:10  lr: 0.000056  loss: 4.1145 (4.1050)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [23]  [150/164]  eta: 0:00:06  lr: 0.000056  loss: 4.0614 (4.0981)  time: 0.4021  data: 0.0001  max mem: 4478\n",
            "Epoch: [23]  [160/164]  eta: 0:00:01  lr: 0.000056  loss: 3.9870 (4.0918)  time: 0.3823  data: 0.0001  max mem: 4478\n",
            "Epoch: [23]  [163/164]  eta: 0:00:00  lr: 0.000056  loss: 3.9783 (4.0923)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [23] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000056  loss: 3.9783 (4.0923)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.8153 (3.8153)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.8193  data: 3.5725  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1833 (3.1634)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.6144  data: 0.3981  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3556 (3.5871)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4297  data: 0.2190  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4442 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.587\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [24]  [  0/164]  eta: 0:12:05  lr: 0.000056  loss: 4.5623 (4.5623)  time: 4.4217  data: 3.7011  max mem: 4478\n",
            "Epoch: [24]  [ 10/164]  eta: 0:02:15  lr: 0.000056  loss: 4.0828 (4.1241)  time: 0.8828  data: 0.3385  max mem: 4478\n",
            "Epoch: [24]  [ 20/164]  eta: 0:01:34  lr: 0.000056  loss: 4.0828 (4.1118)  time: 0.4715  data: 0.0012  max mem: 4478\n",
            "Epoch: [24]  [ 30/164]  eta: 0:01:17  lr: 0.000056  loss: 4.0982 (4.1091)  time: 0.4133  data: 0.0001  max mem: 4478\n",
            "Epoch: [24]  [ 40/164]  eta: 0:01:06  lr: 0.000056  loss: 4.1029 (4.1175)  time: 0.4107  data: 0.0003  max mem: 4478\n",
            "Epoch: [24]  [ 50/164]  eta: 0:00:58  lr: 0.000056  loss: 3.9995 (4.0911)  time: 0.4110  data: 0.0003  max mem: 4478\n",
            "Epoch: [24]  [ 60/164]  eta: 0:00:51  lr: 0.000056  loss: 4.0338 (4.1237)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [ 70/164]  eta: 0:00:45  lr: 0.000056  loss: 4.0854 (4.1092)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [ 80/164]  eta: 0:00:40  lr: 0.000056  loss: 4.0000 (4.0982)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [ 90/164]  eta: 0:00:34  lr: 0.000056  loss: 4.0520 (4.1017)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [100/164]  eta: 0:00:29  lr: 0.000056  loss: 4.0757 (4.0994)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [110/164]  eta: 0:00:24  lr: 0.000056  loss: 4.0641 (4.0929)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [120/164]  eta: 0:00:20  lr: 0.000056  loss: 4.0641 (4.0962)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [130/164]  eta: 0:00:15  lr: 0.000056  loss: 4.1444 (4.1048)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [140/164]  eta: 0:00:10  lr: 0.000056  loss: 4.1231 (4.1048)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [24]  [150/164]  eta: 0:00:06  lr: 0.000056  loss: 4.0664 (4.0978)  time: 0.3991  data: 0.0001  max mem: 4478\n",
            "Epoch: [24]  [160/164]  eta: 0:00:01  lr: 0.000056  loss: 3.9899 (4.0917)  time: 0.3822  data: 0.0001  max mem: 4478\n",
            "Epoch: [24]  [163/164]  eta: 0:00:00  lr: 0.000056  loss: 3.9899 (4.0923)  time: 0.3780  data: 0.0001  max mem: 4478\n",
            "Epoch: [24] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000056  loss: 3.9899 (4.0923)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.7474 (3.7474)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4114  data: 3.1145  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1881 (3.1774)  acc1: 2.0833 (15.2462)  acc5: 46.8750 (52.0833)  time: 0.5802  data: 0.3661  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3631 (3.5877)  acc1: 0.0000 (8.3898)  acc5: 30.2083 (37.8843)  time: 0.4159  data: 0.2067  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4296 s / it)\n",
            "* Acc@1 8.390 Acc@5 37.884 loss 3.588\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [25]  [  0/164]  eta: 0:10:49  lr: 0.000055  loss: 4.5564 (4.5564)  time: 3.9631  data: 3.1496  max mem: 4478\n",
            "Epoch: [25]  [ 10/164]  eta: 0:02:16  lr: 0.000055  loss: 4.0812 (4.1270)  time: 0.8847  data: 0.2885  max mem: 4478\n",
            "Epoch: [25]  [ 20/164]  eta: 0:01:34  lr: 0.000055  loss: 4.0812 (4.1155)  time: 0.4915  data: 0.0013  max mem: 4478\n",
            "Epoch: [25]  [ 30/164]  eta: 0:01:17  lr: 0.000055  loss: 4.0996 (4.1109)  time: 0.4077  data: 0.0001  max mem: 4478\n",
            "Epoch: [25]  [ 40/164]  eta: 0:01:06  lr: 0.000055  loss: 4.1023 (4.1171)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [ 50/164]  eta: 0:00:58  lr: 0.000055  loss: 3.9764 (4.0902)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [ 60/164]  eta: 0:00:51  lr: 0.000055  loss: 4.0323 (4.1217)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [ 70/164]  eta: 0:00:45  lr: 0.000055  loss: 4.0830 (4.1082)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [ 80/164]  eta: 0:00:40  lr: 0.000055  loss: 3.9864 (4.0978)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [ 90/164]  eta: 0:00:34  lr: 0.000055  loss: 4.0591 (4.1014)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [100/164]  eta: 0:00:29  lr: 0.000055  loss: 4.0896 (4.0988)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [110/164]  eta: 0:00:24  lr: 0.000055  loss: 4.0659 (4.0916)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [120/164]  eta: 0:00:20  lr: 0.000055  loss: 4.0635 (4.0948)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [130/164]  eta: 0:00:15  lr: 0.000055  loss: 4.1428 (4.1036)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [140/164]  eta: 0:00:10  lr: 0.000055  loss: 4.1235 (4.1036)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [150/164]  eta: 0:00:06  lr: 0.000055  loss: 4.0729 (4.0969)  time: 0.4012  data: 0.0002  max mem: 4478\n",
            "Epoch: [25]  [160/164]  eta: 0:00:01  lr: 0.000055  loss: 3.9985 (4.0906)  time: 0.3849  data: 0.0001  max mem: 4478\n",
            "Epoch: [25]  [163/164]  eta: 0:00:00  lr: 0.000055  loss: 3.9924 (4.0911)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [25] Total time: 0:01:12 (0.4418 s / it)\n",
            "Averaged stats: lr: 0.000055  loss: 3.9924 (4.0911)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7688 (3.7688)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6277  data: 3.3759  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1616 (3.1709)  acc1: 1.0417 (16.0985)  acc5: 46.8750 (53.5985)  time: 0.5977  data: 0.3845  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3758 (3.5866)  acc1: 0.0000 (8.8588)  acc5: 26.0417 (36.9463)  time: 0.4215  data: 0.2133  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4352 s / it)\n",
            "* Acc@1 8.859 Acc@5 36.946 loss 3.587\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [26]  [  0/164]  eta: 0:10:44  lr: 0.000055  loss: 4.5470 (4.5470)  time: 3.9286  data: 3.0767  max mem: 4478\n",
            "Epoch: [26]  [ 10/164]  eta: 0:02:16  lr: 0.000055  loss: 4.0780 (4.1257)  time: 0.8861  data: 0.2829  max mem: 4478\n",
            "Epoch: [26]  [ 20/164]  eta: 0:01:34  lr: 0.000055  loss: 4.0780 (4.1135)  time: 0.4929  data: 0.0018  max mem: 4478\n",
            "Epoch: [26]  [ 30/164]  eta: 0:01:17  lr: 0.000055  loss: 4.0880 (4.1086)  time: 0.4111  data: 0.0001  max mem: 4478\n",
            "Epoch: [26]  [ 40/164]  eta: 0:01:07  lr: 0.000055  loss: 4.1178 (4.1161)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [ 50/164]  eta: 0:00:58  lr: 0.000055  loss: 4.0168 (4.0899)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [ 60/164]  eta: 0:00:52  lr: 0.000055  loss: 4.0207 (4.1210)  time: 0.4177  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [ 70/164]  eta: 0:00:45  lr: 0.000055  loss: 4.1006 (4.1077)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [ 80/164]  eta: 0:00:40  lr: 0.000055  loss: 3.9973 (4.0968)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [ 90/164]  eta: 0:00:34  lr: 0.000055  loss: 4.0522 (4.0999)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [100/164]  eta: 0:00:29  lr: 0.000055  loss: 4.0910 (4.0968)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [110/164]  eta: 0:00:24  lr: 0.000055  loss: 4.0570 (4.0900)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [120/164]  eta: 0:00:20  lr: 0.000055  loss: 4.0563 (4.0934)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [130/164]  eta: 0:00:15  lr: 0.000055  loss: 4.1370 (4.1022)  time: 0.4080  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [140/164]  eta: 0:00:10  lr: 0.000055  loss: 4.1093 (4.1020)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [26]  [150/164]  eta: 0:00:06  lr: 0.000055  loss: 4.0521 (4.0956)  time: 0.4028  data: 0.0001  max mem: 4478\n",
            "Epoch: [26]  [160/164]  eta: 0:00:01  lr: 0.000055  loss: 3.9983 (4.0894)  time: 0.3854  data: 0.0001  max mem: 4478\n",
            "Epoch: [26]  [163/164]  eta: 0:00:00  lr: 0.000055  loss: 3.9878 (4.0899)  time: 0.3782  data: 0.0001  max mem: 4478\n",
            "Epoch: [26] Total time: 0:01:12 (0.4421 s / it)\n",
            "Averaged stats: lr: 0.000055  loss: 3.9878 (4.0899)\n",
            "Test:  [ 0/20]  eta: 0:01:06  loss: 3.7851 (3.7851)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.3492  data: 3.1044  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.2005 (3.1749)  acc1: 2.0833 (15.5303)  acc5: 46.8750 (53.0303)  time: 0.5821  data: 0.3702  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3628 (3.5839)  acc1: 0.0000 (8.5461)  acc5: 30.2083 (36.3731)  time: 0.4178  data: 0.2101  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4326 s / it)\n",
            "* Acc@1 8.546 Acc@5 36.373 loss 3.584\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [27]  [  0/164]  eta: 0:11:46  lr: 0.000054  loss: 4.5484 (4.5484)  time: 4.3077  data: 3.5816  max mem: 4478\n",
            "Epoch: [27]  [ 10/164]  eta: 0:02:14  lr: 0.000054  loss: 4.0740 (4.1231)  time: 0.8711  data: 0.3268  max mem: 4478\n",
            "Epoch: [27]  [ 20/164]  eta: 0:01:33  lr: 0.000054  loss: 4.0740 (4.1130)  time: 0.4667  data: 0.0007  max mem: 4478\n",
            "Epoch: [27]  [ 30/164]  eta: 0:01:16  lr: 0.000054  loss: 4.0920 (4.1069)  time: 0.4045  data: 0.0001  max mem: 4478\n",
            "Epoch: [27]  [ 40/164]  eta: 0:01:05  lr: 0.000054  loss: 4.1172 (4.1138)  time: 0.4038  data: 0.0001  max mem: 4478\n",
            "Epoch: [27]  [ 50/164]  eta: 0:00:57  lr: 0.000054  loss: 3.9917 (4.0871)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [ 60/164]  eta: 0:00:51  lr: 0.000054  loss: 4.0298 (4.1190)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [ 70/164]  eta: 0:00:45  lr: 0.000054  loss: 4.1052 (4.1059)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [ 80/164]  eta: 0:00:39  lr: 0.000054  loss: 4.0014 (4.0954)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [ 90/164]  eta: 0:00:34  lr: 0.000054  loss: 4.0446 (4.0988)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [100/164]  eta: 0:00:29  lr: 0.000054  loss: 4.0824 (4.0960)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [110/164]  eta: 0:00:24  lr: 0.000054  loss: 4.0522 (4.0887)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [120/164]  eta: 0:00:19  lr: 0.000054  loss: 4.0518 (4.0924)  time: 0.4176  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [130/164]  eta: 0:00:15  lr: 0.000054  loss: 4.1363 (4.1013)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [140/164]  eta: 0:00:10  lr: 0.000054  loss: 4.1136 (4.1011)  time: 0.4114  data: 0.0003  max mem: 4478\n",
            "Epoch: [27]  [150/164]  eta: 0:00:06  lr: 0.000054  loss: 4.0520 (4.0944)  time: 0.4005  data: 0.0002  max mem: 4478\n",
            "Epoch: [27]  [160/164]  eta: 0:00:01  lr: 0.000054  loss: 3.9771 (4.0885)  time: 0.3841  data: 0.0001  max mem: 4478\n",
            "Epoch: [27]  [163/164]  eta: 0:00:00  lr: 0.000054  loss: 3.9771 (4.0892)  time: 0.3796  data: 0.0001  max mem: 4478\n",
            "Epoch: [27] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000054  loss: 3.9771 (4.0892)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7951 (3.7951)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6474  data: 3.3287  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1692 (3.1666)  acc1: 2.0833 (16.4773)  acc5: 46.8750 (53.2197)  time: 0.5864  data: 0.3701  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3637 (3.5833)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (36.7900)  time: 0.4149  data: 0.2051  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4289 s / it)\n",
            "* Acc@1 9.067 Acc@5 36.790 loss 3.583\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [28]  [  0/164]  eta: 0:10:50  lr: 0.000054  loss: 4.5651 (4.5651)  time: 3.9674  data: 3.0831  max mem: 4478\n",
            "Epoch: [28]  [ 10/164]  eta: 0:02:13  lr: 0.000054  loss: 4.0607 (4.1267)  time: 0.8682  data: 0.2818  max mem: 4478\n",
            "Epoch: [28]  [ 20/164]  eta: 0:01:33  lr: 0.000054  loss: 4.0607 (4.1152)  time: 0.4839  data: 0.0009  max mem: 4478\n",
            "Epoch: [28]  [ 30/164]  eta: 0:01:16  lr: 0.000054  loss: 4.1079 (4.1101)  time: 0.4085  data: 0.0001  max mem: 4478\n",
            "Epoch: [28]  [ 40/164]  eta: 0:01:06  lr: 0.000054  loss: 4.1463 (4.1181)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [ 50/164]  eta: 0:00:57  lr: 0.000054  loss: 3.9835 (4.0916)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [ 60/164]  eta: 0:00:51  lr: 0.000054  loss: 4.0136 (4.1215)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [ 70/164]  eta: 0:00:45  lr: 0.000054  loss: 4.0909 (4.1078)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [ 80/164]  eta: 0:00:39  lr: 0.000054  loss: 3.9933 (4.0969)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [ 90/164]  eta: 0:00:34  lr: 0.000054  loss: 4.0530 (4.1005)  time: 0.4155  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [100/164]  eta: 0:00:29  lr: 0.000054  loss: 4.0952 (4.0976)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [110/164]  eta: 0:00:24  lr: 0.000054  loss: 4.0618 (4.0907)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [120/164]  eta: 0:00:19  lr: 0.000054  loss: 4.0623 (4.0942)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [130/164]  eta: 0:00:15  lr: 0.000054  loss: 4.1569 (4.1027)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [140/164]  eta: 0:00:10  lr: 0.000054  loss: 4.1087 (4.1025)  time: 0.4180  data: 0.0002  max mem: 4478\n",
            "Epoch: [28]  [150/164]  eta: 0:00:06  lr: 0.000054  loss: 4.0506 (4.0957)  time: 0.4010  data: 0.0001  max mem: 4478\n",
            "Epoch: [28]  [160/164]  eta: 0:00:01  lr: 0.000054  loss: 3.9858 (4.0892)  time: 0.3815  data: 0.0001  max mem: 4478\n",
            "Epoch: [28]  [163/164]  eta: 0:00:00  lr: 0.000054  loss: 3.9772 (4.0899)  time: 0.3783  data: 0.0001  max mem: 4478\n",
            "Epoch: [28] Total time: 0:01:12 (0.4406 s / it)\n",
            "Averaged stats: lr: 0.000054  loss: 3.9772 (4.0899)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.7781 (3.7781)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7508  data: 3.4983  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1732 (3.1671)  acc1: 3.1250 (16.4773)  acc5: 46.8750 (52.6515)  time: 0.6087  data: 0.3852  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3589 (3.5825)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (37.2590)  time: 0.4264  data: 0.2119  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4413 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.259 loss 3.583\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.17%\n",
            "Epoch: [29]  [  0/164]  eta: 0:10:47  lr: 0.000053  loss: 4.5714 (4.5714)  time: 3.9463  data: 3.1242  max mem: 4478\n",
            "Epoch: [29]  [ 10/164]  eta: 0:02:13  lr: 0.000053  loss: 4.0465 (4.1290)  time: 0.8657  data: 0.2877  max mem: 4478\n",
            "Epoch: [29]  [ 20/164]  eta: 0:01:33  lr: 0.000053  loss: 4.0560 (4.1171)  time: 0.4826  data: 0.0021  max mem: 4478\n",
            "Epoch: [29]  [ 30/164]  eta: 0:01:16  lr: 0.000053  loss: 4.0994 (4.1102)  time: 0.4054  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 40/164]  eta: 0:01:05  lr: 0.000053  loss: 4.1166 (4.1161)  time: 0.4066  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 50/164]  eta: 0:00:57  lr: 0.000053  loss: 3.9887 (4.0887)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 60/164]  eta: 0:00:51  lr: 0.000053  loss: 4.0125 (4.1195)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 70/164]  eta: 0:00:45  lr: 0.000053  loss: 4.0886 (4.1056)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 80/164]  eta: 0:00:39  lr: 0.000053  loss: 3.9743 (4.0947)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [ 90/164]  eta: 0:00:34  lr: 0.000053  loss: 4.0641 (4.0988)  time: 0.4204  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [100/164]  eta: 0:00:29  lr: 0.000053  loss: 4.0916 (4.0962)  time: 0.4218  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [110/164]  eta: 0:00:24  lr: 0.000053  loss: 4.0613 (4.0894)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [120/164]  eta: 0:00:20  lr: 0.000053  loss: 4.0613 (4.0926)  time: 0.4186  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [130/164]  eta: 0:00:15  lr: 0.000053  loss: 4.1575 (4.1010)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [140/164]  eta: 0:00:10  lr: 0.000053  loss: 4.1164 (4.1007)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [29]  [150/164]  eta: 0:00:06  lr: 0.000053  loss: 4.0480 (4.0939)  time: 0.3995  data: 0.0001  max mem: 4478\n",
            "Epoch: [29]  [160/164]  eta: 0:00:01  lr: 0.000053  loss: 3.9894 (4.0879)  time: 0.3826  data: 0.0001  max mem: 4478\n",
            "Epoch: [29]  [163/164]  eta: 0:00:00  lr: 0.000053  loss: 3.9839 (4.0885)  time: 0.3778  data: 0.0001  max mem: 4478\n",
            "Epoch: [29] Total time: 0:01:12 (0.4413 s / it)\n",
            "Averaged stats: lr: 0.000053  loss: 3.9839 (4.0885)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.7914 (3.7914)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5594  data: 3.2765  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1591 (3.1648)  acc1: 1.0417 (16.7614)  acc5: 46.8750 (53.5038)  time: 0.6071  data: 0.3959  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3655 (3.5772)  acc1: 0.0000 (9.2236)  acc5: 30.2083 (37.5717)  time: 0.4256  data: 0.2178  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4403 s / it)\n",
            "* Acc@1 9.224 Acc@5 37.572 loss 3.577\n",
            "Accuracy of the network on the 1919 test images: 9.2%\n",
            "Max accuracy: 9.22%\n",
            "Epoch: [30]  [  0/164]  eta: 0:10:15  lr: 0.000052  loss: 4.5565 (4.5565)  time: 3.7501  data: 2.9124  max mem: 4478\n",
            "Epoch: [30]  [ 10/164]  eta: 0:02:14  lr: 0.000052  loss: 4.0770 (4.1272)  time: 0.8738  data: 0.2672  max mem: 4478\n",
            "Epoch: [30]  [ 20/164]  eta: 0:01:33  lr: 0.000052  loss: 4.0770 (4.1136)  time: 0.4975  data: 0.0014  max mem: 4478\n",
            "Epoch: [30]  [ 30/164]  eta: 0:01:16  lr: 0.000052  loss: 4.0928 (4.1088)  time: 0.4077  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 40/164]  eta: 0:01:06  lr: 0.000052  loss: 4.1120 (4.1165)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 50/164]  eta: 0:00:58  lr: 0.000052  loss: 3.9901 (4.0906)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 60/164]  eta: 0:00:51  lr: 0.000052  loss: 4.0316 (4.1215)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 70/164]  eta: 0:00:45  lr: 0.000052  loss: 4.0966 (4.1076)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 80/164]  eta: 0:00:39  lr: 0.000052  loss: 3.9899 (4.0959)  time: 0.4187  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [ 90/164]  eta: 0:00:34  lr: 0.000052  loss: 4.0617 (4.0990)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [100/164]  eta: 0:00:29  lr: 0.000052  loss: 4.0917 (4.0962)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [110/164]  eta: 0:00:24  lr: 0.000052  loss: 4.0626 (4.0895)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [120/164]  eta: 0:00:19  lr: 0.000052  loss: 4.0626 (4.0926)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [130/164]  eta: 0:00:15  lr: 0.000052  loss: 4.1111 (4.1012)  time: 0.4097  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [140/164]  eta: 0:00:10  lr: 0.000052  loss: 4.1121 (4.1016)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [30]  [150/164]  eta: 0:00:06  lr: 0.000052  loss: 4.0621 (4.0953)  time: 0.3985  data: 0.0001  max mem: 4478\n",
            "Epoch: [30]  [160/164]  eta: 0:00:01  lr: 0.000052  loss: 3.9876 (4.0887)  time: 0.3831  data: 0.0001  max mem: 4478\n",
            "Epoch: [30]  [163/164]  eta: 0:00:00  lr: 0.000052  loss: 3.9837 (4.0891)  time: 0.3775  data: 0.0001  max mem: 4478\n",
            "Epoch: [30] Total time: 0:01:12 (0.4402 s / it)\n",
            "Averaged stats: lr: 0.000052  loss: 3.9837 (4.0891)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.7566 (3.7566)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9984  data: 3.6632  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1778 (3.1619)  acc1: 12.5000 (17.0455)  acc5: 46.8750 (53.1250)  time: 0.6063  data: 0.3831  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3679 (3.5733)  acc1: 0.0000 (9.3799)  acc5: 30.2083 (37.1027)  time: 0.4249  data: 0.2107  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4386 s / it)\n",
            "* Acc@1 9.380 Acc@5 37.103 loss 3.573\n",
            "Accuracy of the network on the 1919 test images: 9.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [31]  [  0/164]  eta: 0:10:58  lr: 0.000052  loss: 4.5393 (4.5393)  time: 4.0128  data: 3.2034  max mem: 4478\n",
            "Epoch: [31]  [ 10/164]  eta: 0:02:15  lr: 0.000052  loss: 4.0698 (4.1225)  time: 0.8830  data: 0.2944  max mem: 4478\n",
            "Epoch: [31]  [ 20/164]  eta: 0:01:34  lr: 0.000052  loss: 4.0698 (4.1126)  time: 0.4895  data: 0.0018  max mem: 4478\n",
            "Epoch: [31]  [ 30/164]  eta: 0:01:17  lr: 0.000052  loss: 4.0948 (4.1077)  time: 0.4095  data: 0.0001  max mem: 4478\n",
            "Epoch: [31]  [ 40/164]  eta: 0:01:06  lr: 0.000052  loss: 4.1168 (4.1157)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [ 50/164]  eta: 0:00:58  lr: 0.000052  loss: 4.0027 (4.0895)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [ 60/164]  eta: 0:00:51  lr: 0.000052  loss: 4.0347 (4.1215)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [ 70/164]  eta: 0:00:45  lr: 0.000052  loss: 4.0900 (4.1071)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [ 80/164]  eta: 0:00:40  lr: 0.000052  loss: 3.9984 (4.0959)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [ 90/164]  eta: 0:00:34  lr: 0.000052  loss: 4.0679 (4.0990)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [100/164]  eta: 0:00:29  lr: 0.000052  loss: 4.0927 (4.0963)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [110/164]  eta: 0:00:24  lr: 0.000052  loss: 4.0677 (4.0892)  time: 0.4162  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [120/164]  eta: 0:00:20  lr: 0.000052  loss: 4.0704 (4.0927)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [130/164]  eta: 0:00:15  lr: 0.000052  loss: 4.1322 (4.1015)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [140/164]  eta: 0:00:10  lr: 0.000052  loss: 4.1214 (4.1015)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [31]  [150/164]  eta: 0:00:06  lr: 0.000052  loss: 4.0659 (4.0944)  time: 0.4034  data: 0.0001  max mem: 4478\n",
            "Epoch: [31]  [160/164]  eta: 0:00:01  lr: 0.000052  loss: 3.9827 (4.0883)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [31]  [163/164]  eta: 0:00:00  lr: 0.000052  loss: 3.9827 (4.0888)  time: 0.3770  data: 0.0001  max mem: 4478\n",
            "Epoch: [31] Total time: 0:01:12 (0.4430 s / it)\n",
            "Averaged stats: lr: 0.000052  loss: 3.9827 (4.0888)\n",
            "Test:  [ 0/20]  eta: 0:01:24  loss: 3.7624 (3.7624)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.2455  data: 3.9169  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1747 (3.1601)  acc1: 0.0000 (15.8144)  acc5: 46.8750 (51.7045)  time: 0.6119  data: 0.3918  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3567 (3.5762)  acc1: 0.0000 (8.7024)  acc5: 3.1250 (37.7280)  time: 0.4280  data: 0.2155  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4416 s / it)\n",
            "* Acc@1 8.702 Acc@5 37.728 loss 3.576\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [32]  [  0/164]  eta: 0:11:51  lr: 0.000051  loss: 4.5429 (4.5429)  time: 4.3354  data: 3.5953  max mem: 4478\n",
            "Epoch: [32]  [ 10/164]  eta: 0:02:13  lr: 0.000051  loss: 4.0747 (4.1257)  time: 0.8654  data: 0.3276  max mem: 4478\n",
            "Epoch: [32]  [ 20/164]  eta: 0:01:33  lr: 0.000051  loss: 4.0747 (4.1119)  time: 0.4614  data: 0.0005  max mem: 4478\n",
            "Epoch: [32]  [ 30/164]  eta: 0:01:16  lr: 0.000051  loss: 4.0923 (4.1064)  time: 0.4082  data: 0.0001  max mem: 4478\n",
            "Epoch: [32]  [ 40/164]  eta: 0:01:05  lr: 0.000051  loss: 4.1277 (4.1131)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [ 50/164]  eta: 0:00:57  lr: 0.000051  loss: 3.9853 (4.0874)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [ 60/164]  eta: 0:00:51  lr: 0.000051  loss: 4.0210 (4.1186)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [ 70/164]  eta: 0:00:45  lr: 0.000051  loss: 4.0826 (4.1042)  time: 0.4197  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [ 80/164]  eta: 0:00:39  lr: 0.000051  loss: 3.9822 (4.0925)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [ 90/164]  eta: 0:00:34  lr: 0.000051  loss: 4.0610 (4.0961)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [100/164]  eta: 0:00:29  lr: 0.000051  loss: 4.0827 (4.0931)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [110/164]  eta: 0:00:24  lr: 0.000051  loss: 4.0617 (4.0862)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [120/164]  eta: 0:00:19  lr: 0.000051  loss: 4.0688 (4.0901)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [130/164]  eta: 0:00:15  lr: 0.000051  loss: 4.1378 (4.0995)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [140/164]  eta: 0:00:10  lr: 0.000051  loss: 4.0984 (4.0996)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [32]  [150/164]  eta: 0:00:06  lr: 0.000051  loss: 4.0707 (4.0928)  time: 0.3992  data: 0.0001  max mem: 4478\n",
            "Epoch: [32]  [160/164]  eta: 0:00:01  lr: 0.000051  loss: 3.9799 (4.0867)  time: 0.3831  data: 0.0001  max mem: 4478\n",
            "Epoch: [32]  [163/164]  eta: 0:00:00  lr: 0.000051  loss: 3.9799 (4.0873)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [32] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000051  loss: 3.9799 (4.0873)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.7712 (3.7712)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9550  data: 3.6308  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1749 (3.1678)  acc1: 0.0000 (16.5720)  acc5: 46.8750 (52.7462)  time: 0.6145  data: 0.3939  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3586 (3.5783)  acc1: 0.0000 (9.1193)  acc5: 30.2083 (37.0505)  time: 0.4294  data: 0.2167  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4428 s / it)\n",
            "* Acc@1 9.119 Acc@5 37.051 loss 3.578\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [33]  [  0/164]  eta: 0:12:21  lr: 0.000050  loss: 4.5706 (4.5706)  time: 4.5192  data: 3.7599  max mem: 4478\n",
            "Epoch: [33]  [ 10/164]  eta: 0:02:19  lr: 0.000050  loss: 4.0896 (4.1227)  time: 0.9090  data: 0.3434  max mem: 4478\n",
            "Epoch: [33]  [ 20/164]  eta: 0:01:36  lr: 0.000050  loss: 4.0896 (4.1132)  time: 0.4769  data: 0.0009  max mem: 4478\n",
            "Epoch: [33]  [ 30/164]  eta: 0:01:18  lr: 0.000050  loss: 4.1002 (4.1076)  time: 0.4046  data: 0.0001  max mem: 4478\n",
            "Epoch: [33]  [ 40/164]  eta: 0:01:07  lr: 0.000050  loss: 4.0956 (4.1145)  time: 0.4069  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [ 50/164]  eta: 0:00:59  lr: 0.000050  loss: 3.9842 (4.0870)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [ 60/164]  eta: 0:00:52  lr: 0.000050  loss: 4.0199 (4.1181)  time: 0.4187  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [ 70/164]  eta: 0:00:46  lr: 0.000050  loss: 4.0815 (4.1039)  time: 0.4180  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [ 80/164]  eta: 0:00:40  lr: 0.000050  loss: 3.9792 (4.0931)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [ 90/164]  eta: 0:00:35  lr: 0.000050  loss: 4.0556 (4.0970)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [100/164]  eta: 0:00:29  lr: 0.000050  loss: 4.0764 (4.0945)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [110/164]  eta: 0:00:24  lr: 0.000050  loss: 4.0666 (4.0876)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [120/164]  eta: 0:00:20  lr: 0.000050  loss: 4.0630 (4.0908)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [130/164]  eta: 0:00:15  lr: 0.000050  loss: 4.1553 (4.0992)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [140/164]  eta: 0:00:10  lr: 0.000050  loss: 4.1067 (4.0992)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [33]  [150/164]  eta: 0:00:06  lr: 0.000050  loss: 4.0590 (4.0927)  time: 0.4002  data: 0.0001  max mem: 4478\n",
            "Epoch: [33]  [160/164]  eta: 0:00:01  lr: 0.000050  loss: 3.9709 (4.0860)  time: 0.3840  data: 0.0001  max mem: 4478\n",
            "Epoch: [33]  [163/164]  eta: 0:00:00  lr: 0.000050  loss: 3.9709 (4.0864)  time: 0.3796  data: 0.0001  max mem: 4478\n",
            "Epoch: [33] Total time: 0:01:12 (0.4439 s / it)\n",
            "Averaged stats: lr: 0.000050  loss: 3.9709 (4.0864)\n",
            "Test:  [ 0/20]  eta: 0:01:29  loss: 3.8153 (3.8153)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.4540  data: 4.1397  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1715 (3.1632)  acc1: 5.2083 (15.2462)  acc5: 46.8750 (51.5152)  time: 0.6135  data: 0.4002  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3375 (3.5738)  acc1: 0.0000 (8.3898)  acc5: 10.4167 (37.1548)  time: 0.4289  data: 0.2201  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4423 s / it)\n",
            "* Acc@1 8.390 Acc@5 37.155 loss 3.574\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [34]  [  0/164]  eta: 0:11:28  lr: 0.000050  loss: 4.5620 (4.5620)  time: 4.1974  data: 3.4346  max mem: 4478\n",
            "Epoch: [34]  [ 10/164]  eta: 0:02:13  lr: 0.000050  loss: 4.0735 (4.1177)  time: 0.8649  data: 0.3159  max mem: 4478\n",
            "Epoch: [34]  [ 20/164]  eta: 0:01:33  lr: 0.000050  loss: 4.0735 (4.1098)  time: 0.4708  data: 0.0021  max mem: 4478\n",
            "Epoch: [34]  [ 30/164]  eta: 0:01:16  lr: 0.000050  loss: 4.0768 (4.1045)  time: 0.4092  data: 0.0001  max mem: 4478\n",
            "Epoch: [34]  [ 40/164]  eta: 0:01:05  lr: 0.000050  loss: 4.1450 (4.1128)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [ 50/164]  eta: 0:00:58  lr: 0.000050  loss: 3.9958 (4.0867)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [ 60/164]  eta: 0:00:51  lr: 0.000050  loss: 4.0079 (4.1159)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [ 70/164]  eta: 0:00:45  lr: 0.000050  loss: 4.0765 (4.1017)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [ 80/164]  eta: 0:00:39  lr: 0.000050  loss: 3.9885 (4.0911)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [ 90/164]  eta: 0:00:34  lr: 0.000050  loss: 4.0411 (4.0949)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [100/164]  eta: 0:00:29  lr: 0.000050  loss: 4.0810 (4.0927)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [110/164]  eta: 0:00:24  lr: 0.000050  loss: 4.0570 (4.0860)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [120/164]  eta: 0:00:19  lr: 0.000050  loss: 4.0570 (4.0894)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [130/164]  eta: 0:00:15  lr: 0.000050  loss: 4.1552 (4.0983)  time: 0.4169  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [140/164]  eta: 0:00:10  lr: 0.000050  loss: 4.1133 (4.0979)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [34]  [150/164]  eta: 0:00:06  lr: 0.000050  loss: 4.0488 (4.0913)  time: 0.3979  data: 0.0001  max mem: 4478\n",
            "Epoch: [34]  [160/164]  eta: 0:00:01  lr: 0.000050  loss: 3.9718 (4.0845)  time: 0.3826  data: 0.0001  max mem: 4478\n",
            "Epoch: [34]  [163/164]  eta: 0:00:00  lr: 0.000050  loss: 3.9718 (4.0850)  time: 0.3783  data: 0.0001  max mem: 4478\n",
            "Epoch: [34] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000050  loss: 3.9718 (4.0850)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.7078 (3.7078)  acc1: 0.0000 (0.0000)  acc5: 16.6667 (16.6667)  time: 3.9195  data: 3.6284  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1530 (3.1534)  acc1: 9.3750 (16.3826)  acc5: 46.8750 (54.0720)  time: 0.6066  data: 0.3869  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3439 (3.5676)  acc1: 0.0000 (9.0151)  acc5: 30.2083 (37.4153)  time: 0.4251  data: 0.2128  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4393 s / it)\n",
            "* Acc@1 9.015 Acc@5 37.415 loss 3.568\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [35]  [  0/164]  eta: 0:10:23  lr: 0.000049  loss: 4.5563 (4.5563)  time: 3.7992  data: 3.0129  max mem: 4478\n",
            "Epoch: [35]  [ 10/164]  eta: 0:02:16  lr: 0.000049  loss: 4.0842 (4.1207)  time: 0.8863  data: 0.2758  max mem: 4478\n",
            "Epoch: [35]  [ 20/164]  eta: 0:01:35  lr: 0.000049  loss: 4.0831 (4.1080)  time: 0.5047  data: 0.0011  max mem: 4478\n",
            "Epoch: [35]  [ 30/164]  eta: 0:01:17  lr: 0.000049  loss: 4.0847 (4.1044)  time: 0.4078  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 40/164]  eta: 0:01:06  lr: 0.000049  loss: 4.1359 (4.1129)  time: 0.4059  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 50/164]  eta: 0:00:58  lr: 0.000049  loss: 4.0080 (4.0869)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 60/164]  eta: 0:00:51  lr: 0.000049  loss: 4.0400 (4.1184)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 70/164]  eta: 0:00:45  lr: 0.000049  loss: 4.0772 (4.1039)  time: 0.4173  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 80/164]  eta: 0:00:40  lr: 0.000049  loss: 3.9841 (4.0933)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [ 90/164]  eta: 0:00:34  lr: 0.000049  loss: 4.0690 (4.0969)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [100/164]  eta: 0:00:29  lr: 0.000049  loss: 4.0766 (4.0936)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [110/164]  eta: 0:00:24  lr: 0.000049  loss: 4.0576 (4.0867)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [120/164]  eta: 0:00:20  lr: 0.000049  loss: 4.0741 (4.0907)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [130/164]  eta: 0:00:15  lr: 0.000049  loss: 4.1451 (4.0993)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [140/164]  eta: 0:00:10  lr: 0.000049  loss: 4.1232 (4.0995)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [35]  [150/164]  eta: 0:00:06  lr: 0.000049  loss: 4.0565 (4.0934)  time: 0.4024  data: 0.0001  max mem: 4478\n",
            "Epoch: [35]  [160/164]  eta: 0:00:01  lr: 0.000049  loss: 3.9822 (4.0870)  time: 0.3853  data: 0.0001  max mem: 4478\n",
            "Epoch: [35]  [163/164]  eta: 0:00:00  lr: 0.000049  loss: 3.9728 (4.0875)  time: 0.3795  data: 0.0001  max mem: 4478\n",
            "Epoch: [35] Total time: 0:01:12 (0.4422 s / it)\n",
            "Averaged stats: lr: 0.000049  loss: 3.9728 (4.0875)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.7518 (3.7518)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5819  data: 3.3255  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1743 (3.1605)  acc1: 0.0000 (15.5303)  acc5: 46.8750 (52.4621)  time: 0.6039  data: 0.3893  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3382 (3.5771)  acc1: 0.0000 (8.5461)  acc5: 29.1667 (37.0505)  time: 0.4237  data: 0.2141  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4379 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.051 loss 3.577\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [36]  [  0/164]  eta: 0:10:31  lr: 0.000048  loss: 4.5667 (4.5667)  time: 3.8490  data: 3.0524  max mem: 4478\n",
            "Epoch: [36]  [ 10/164]  eta: 0:02:17  lr: 0.000048  loss: 4.0694 (4.1264)  time: 0.8901  data: 0.2934  max mem: 4478\n",
            "Epoch: [36]  [ 20/164]  eta: 0:01:35  lr: 0.000048  loss: 4.0694 (4.1121)  time: 0.5046  data: 0.0088  max mem: 4478\n",
            "Epoch: [36]  [ 30/164]  eta: 0:01:17  lr: 0.000048  loss: 4.0813 (4.1055)  time: 0.4106  data: 0.0001  max mem: 4478\n",
            "Epoch: [36]  [ 40/164]  eta: 0:01:06  lr: 0.000048  loss: 4.1215 (4.1138)  time: 0.4057  data: 0.0001  max mem: 4478\n",
            "Epoch: [36]  [ 50/164]  eta: 0:00:58  lr: 0.000048  loss: 4.0006 (4.0883)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [ 60/164]  eta: 0:00:51  lr: 0.000048  loss: 4.0219 (4.1176)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [ 70/164]  eta: 0:00:45  lr: 0.000048  loss: 4.0827 (4.1035)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [ 80/164]  eta: 0:00:40  lr: 0.000048  loss: 3.9797 (4.0924)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [ 90/164]  eta: 0:00:34  lr: 0.000048  loss: 4.0612 (4.0967)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [100/164]  eta: 0:00:29  lr: 0.000048  loss: 4.1193 (4.1072)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [110/164]  eta: 0:00:24  lr: 0.000048  loss: 4.0563 (4.0993)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [120/164]  eta: 0:00:20  lr: 0.000048  loss: 4.0612 (4.1025)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [130/164]  eta: 0:00:15  lr: 0.000048  loss: 4.1730 (4.1115)  time: 0.4060  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [140/164]  eta: 0:00:10  lr: 0.000048  loss: 4.1372 (4.1108)  time: 0.4091  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [150/164]  eta: 0:00:06  lr: 0.000048  loss: 4.0569 (4.1048)  time: 0.3993  data: 0.0002  max mem: 4478\n",
            "Epoch: [36]  [160/164]  eta: 0:00:01  lr: 0.000048  loss: 3.9807 (4.0977)  time: 0.3815  data: 0.0001  max mem: 4478\n",
            "Epoch: [36]  [163/164]  eta: 0:00:00  lr: 0.000048  loss: 3.9807 (4.0982)  time: 0.3764  data: 0.0001  max mem: 4478\n",
            "Epoch: [36] Total time: 0:01:12 (0.4408 s / it)\n",
            "Averaged stats: lr: 0.000048  loss: 3.9807 (4.0982)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.8305 (3.8305)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7128  data: 3.3912  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1787 (3.1984)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (50.1894)  time: 0.6088  data: 0.3860  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3770 (3.6027)  acc1: 0.0000 (9.0672)  acc5: 11.4583 (37.1548)  time: 0.4269  data: 0.2123  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4406 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.155 loss 3.603\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [37]  [  0/164]  eta: 0:10:59  lr: 0.000047  loss: 4.5872 (4.5872)  time: 4.0191  data: 3.2824  max mem: 4478\n",
            "Epoch: [37]  [ 10/164]  eta: 0:02:13  lr: 0.000047  loss: 4.0843 (4.1233)  time: 0.8682  data: 0.3003  max mem: 4478\n",
            "Epoch: [37]  [ 20/164]  eta: 0:01:33  lr: 0.000047  loss: 4.0843 (4.1138)  time: 0.4798  data: 0.0011  max mem: 4478\n",
            "Epoch: [37]  [ 30/164]  eta: 0:01:16  lr: 0.000047  loss: 4.0931 (4.1095)  time: 0.4045  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 40/164]  eta: 0:01:05  lr: 0.000047  loss: 4.1138 (4.1171)  time: 0.4031  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 50/164]  eta: 0:00:57  lr: 0.000047  loss: 3.9935 (4.0912)  time: 0.4069  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 60/164]  eta: 0:00:51  lr: 0.000047  loss: 4.0236 (4.1224)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 70/164]  eta: 0:00:45  lr: 0.000047  loss: 4.1000 (4.1082)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 80/164]  eta: 0:00:39  lr: 0.000047  loss: 3.9785 (4.0971)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [ 90/164]  eta: 0:00:34  lr: 0.000047  loss: 4.0536 (4.1004)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [100/164]  eta: 0:00:29  lr: 0.000047  loss: 4.0914 (4.0977)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [110/164]  eta: 0:00:24  lr: 0.000047  loss: 4.0589 (4.0906)  time: 0.4089  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [120/164]  eta: 0:00:19  lr: 0.000047  loss: 4.0771 (4.0945)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [130/164]  eta: 0:00:15  lr: 0.000047  loss: 4.1556 (4.1039)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [140/164]  eta: 0:00:10  lr: 0.000047  loss: 4.1275 (4.1039)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [37]  [150/164]  eta: 0:00:06  lr: 0.000047  loss: 4.0619 (4.0967)  time: 0.3990  data: 0.0001  max mem: 4478\n",
            "Epoch: [37]  [160/164]  eta: 0:00:01  lr: 0.000047  loss: 3.9740 (4.0900)  time: 0.3819  data: 0.0001  max mem: 4478\n",
            "Epoch: [37]  [163/164]  eta: 0:00:00  lr: 0.000047  loss: 3.9740 (4.0906)  time: 0.3763  data: 0.0001  max mem: 4478\n",
            "Epoch: [37] Total time: 0:01:11 (0.4386 s / it)\n",
            "Averaged stats: lr: 0.000047  loss: 3.9740 (4.0906)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.8006 (3.8006)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4177  data: 3.1335  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1720 (3.1803)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.5897  data: 0.3745  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3867 (3.5905)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4202  data: 0.2111  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4328 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.591\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [38]  [  0/164]  eta: 0:10:45  lr: 0.000047  loss: 4.5686 (4.5686)  time: 3.9383  data: 3.1669  max mem: 4478\n",
            "Epoch: [38]  [ 10/164]  eta: 0:02:15  lr: 0.000047  loss: 4.0791 (4.1248)  time: 0.8773  data: 0.2898  max mem: 4478\n",
            "Epoch: [38]  [ 20/164]  eta: 0:01:33  lr: 0.000047  loss: 4.0791 (4.1116)  time: 0.4873  data: 0.0011  max mem: 4478\n",
            "Epoch: [38]  [ 30/164]  eta: 0:01:17  lr: 0.000047  loss: 4.0836 (4.1075)  time: 0.4083  data: 0.0001  max mem: 4478\n",
            "Epoch: [38]  [ 40/164]  eta: 0:01:06  lr: 0.000047  loss: 4.1189 (4.1157)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [ 50/164]  eta: 0:00:58  lr: 0.000047  loss: 3.9968 (4.0896)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [ 60/164]  eta: 0:00:51  lr: 0.000047  loss: 4.0237 (4.1202)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [ 70/164]  eta: 0:00:45  lr: 0.000047  loss: 4.1000 (4.1060)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [ 80/164]  eta: 0:00:39  lr: 0.000047  loss: 3.9750 (4.0950)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [ 90/164]  eta: 0:00:34  lr: 0.000047  loss: 4.0590 (4.0981)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [100/164]  eta: 0:00:29  lr: 0.000047  loss: 4.0944 (4.0949)  time: 0.4138  data: 0.0003  max mem: 4478\n",
            "Epoch: [38]  [110/164]  eta: 0:00:24  lr: 0.000047  loss: 4.0600 (4.0878)  time: 0.4141  data: 0.0003  max mem: 4478\n",
            "Epoch: [38]  [120/164]  eta: 0:00:19  lr: 0.000047  loss: 4.0656 (4.0916)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [130/164]  eta: 0:00:15  lr: 0.000047  loss: 4.1630 (4.1012)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [140/164]  eta: 0:00:10  lr: 0.000047  loss: 4.1164 (4.1012)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [38]  [150/164]  eta: 0:00:06  lr: 0.000047  loss: 4.0668 (4.0942)  time: 0.3971  data: 0.0001  max mem: 4478\n",
            "Epoch: [38]  [160/164]  eta: 0:00:01  lr: 0.000047  loss: 3.9782 (4.0875)  time: 0.3791  data: 0.0001  max mem: 4478\n",
            "Epoch: [38]  [163/164]  eta: 0:00:00  lr: 0.000047  loss: 3.9782 (4.0882)  time: 0.3748  data: 0.0001  max mem: 4478\n",
            "Epoch: [38] Total time: 0:01:12 (0.4403 s / it)\n",
            "Averaged stats: lr: 0.000047  loss: 3.9782 (4.0882)\n",
            "Test:  [ 0/20]  eta: 0:01:29  loss: 3.7853 (3.7853)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.4986  data: 4.1934  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1646 (3.1717)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.6173  data: 0.4038  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3736 (3.5813)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4311  data: 0.2221  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4451 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.581\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [39]  [  0/164]  eta: 0:10:12  lr: 0.000046  loss: 4.5719 (4.5719)  time: 3.7331  data: 2.9402  max mem: 4478\n",
            "Epoch: [39]  [ 10/164]  eta: 0:02:15  lr: 0.000046  loss: 4.0749 (4.1219)  time: 0.8771  data: 0.2695  max mem: 4478\n",
            "Epoch: [39]  [ 20/164]  eta: 0:01:34  lr: 0.000046  loss: 4.0749 (4.1130)  time: 0.5003  data: 0.0013  max mem: 4478\n",
            "Epoch: [39]  [ 30/164]  eta: 0:01:16  lr: 0.000046  loss: 4.0873 (4.1078)  time: 0.4080  data: 0.0001  max mem: 4478\n",
            "Epoch: [39]  [ 40/164]  eta: 0:01:06  lr: 0.000046  loss: 4.1178 (4.1147)  time: 0.4087  data: 0.0003  max mem: 4478\n",
            "Epoch: [39]  [ 50/164]  eta: 0:00:58  lr: 0.000046  loss: 3.9927 (4.0886)  time: 0.4109  data: 0.0003  max mem: 4478\n",
            "Epoch: [39]  [ 60/164]  eta: 0:00:51  lr: 0.000046  loss: 4.0151 (4.1188)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [ 70/164]  eta: 0:00:45  lr: 0.000046  loss: 4.0724 (4.1040)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [ 80/164]  eta: 0:00:39  lr: 0.000046  loss: 3.9778 (4.0929)  time: 0.4155  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [ 90/164]  eta: 0:00:34  lr: 0.000046  loss: 4.0542 (4.0962)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [100/164]  eta: 0:00:29  lr: 0.000046  loss: 4.0703 (4.0938)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [110/164]  eta: 0:00:24  lr: 0.000046  loss: 4.0663 (4.0875)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [120/164]  eta: 0:00:19  lr: 0.000046  loss: 4.0710 (4.0907)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [130/164]  eta: 0:00:15  lr: 0.000046  loss: 4.1473 (4.0999)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [140/164]  eta: 0:00:10  lr: 0.000046  loss: 4.1211 (4.1001)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [39]  [150/164]  eta: 0:00:06  lr: 0.000046  loss: 4.0599 (4.0930)  time: 0.3952  data: 0.0001  max mem: 4478\n",
            "Epoch: [39]  [160/164]  eta: 0:00:01  lr: 0.000046  loss: 3.9737 (4.0866)  time: 0.3792  data: 0.0001  max mem: 4478\n",
            "Epoch: [39]  [163/164]  eta: 0:00:00  lr: 0.000046  loss: 3.9737 (4.0872)  time: 0.3751  data: 0.0001  max mem: 4478\n",
            "Epoch: [39] Total time: 0:01:12 (0.4401 s / it)\n",
            "Averaged stats: lr: 0.000046  loss: 3.9737 (4.0872)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.8056 (3.8056)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6151  data: 3.3542  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1525 (3.1711)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.6025  data: 0.3889  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3728 (3.5810)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4226  data: 0.2139  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4378 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.581\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [40]  [  0/164]  eta: 0:10:27  lr: 0.000045  loss: 4.5715 (4.5715)  time: 3.8253  data: 3.0227  max mem: 4478\n",
            "Epoch: [40]  [ 10/164]  eta: 0:02:11  lr: 0.000045  loss: 4.0697 (4.1240)  time: 0.8509  data: 0.2753  max mem: 4478\n",
            "Epoch: [40]  [ 20/164]  eta: 0:01:31  lr: 0.000045  loss: 4.0697 (4.1124)  time: 0.4786  data: 0.0003  max mem: 4478\n",
            "Epoch: [40]  [ 30/164]  eta: 0:01:15  lr: 0.000045  loss: 4.0805 (4.1063)  time: 0.4052  data: 0.0001  max mem: 4478\n",
            "Epoch: [40]  [ 40/164]  eta: 0:01:05  lr: 0.000045  loss: 4.1222 (4.1136)  time: 0.4056  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [ 50/164]  eta: 0:00:57  lr: 0.000045  loss: 4.0016 (4.0870)  time: 0.4079  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [ 60/164]  eta: 0:00:50  lr: 0.000045  loss: 4.0275 (4.1180)  time: 0.4115  data: 0.0003  max mem: 4478\n",
            "Epoch: [40]  [ 70/164]  eta: 0:00:44  lr: 0.000045  loss: 4.0823 (4.1036)  time: 0.4141  data: 0.0003  max mem: 4478\n",
            "Epoch: [40]  [ 80/164]  eta: 0:00:39  lr: 0.000045  loss: 3.9711 (4.0926)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [ 90/164]  eta: 0:00:34  lr: 0.000045  loss: 4.0434 (4.0959)  time: 0.4143  data: 0.0003  max mem: 4478\n",
            "Epoch: [40]  [100/164]  eta: 0:00:29  lr: 0.000045  loss: 4.0765 (4.0926)  time: 0.4123  data: 0.0003  max mem: 4478\n",
            "Epoch: [40]  [110/164]  eta: 0:00:24  lr: 0.000045  loss: 4.0523 (4.0856)  time: 0.4097  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [120/164]  eta: 0:00:19  lr: 0.000045  loss: 4.0598 (4.0888)  time: 0.4091  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [130/164]  eta: 0:00:15  lr: 0.000045  loss: 4.1296 (4.0972)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [140/164]  eta: 0:00:10  lr: 0.000045  loss: 4.0970 (4.0971)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [40]  [150/164]  eta: 0:00:06  lr: 0.000045  loss: 4.0602 (4.0903)  time: 0.3970  data: 0.0001  max mem: 4478\n",
            "Epoch: [40]  [160/164]  eta: 0:00:01  lr: 0.000045  loss: 3.9596 (4.0837)  time: 0.3811  data: 0.0001  max mem: 4478\n",
            "Epoch: [40]  [163/164]  eta: 0:00:00  lr: 0.000045  loss: 3.9596 (4.0841)  time: 0.3755  data: 0.0001  max mem: 4478\n",
            "Epoch: [40] Total time: 0:01:11 (0.4374 s / it)\n",
            "Averaged stats: lr: 0.000045  loss: 3.9596 (4.0841)\n",
            "Test:  [ 0/20]  eta: 0:01:07  loss: 3.7959 (3.7959)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.3935  data: 3.1034  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1451 (3.1667)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (53.1250)  time: 0.5848  data: 0.3716  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3500 (3.5773)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (37.4153)  time: 0.4176  data: 0.2098  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4318 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.415 loss 3.577\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [41]  [  0/164]  eta: 0:10:43  lr: 0.000044  loss: 4.5677 (4.5677)  time: 3.9231  data: 3.1496  max mem: 4478\n",
            "Epoch: [41]  [ 10/164]  eta: 0:02:14  lr: 0.000044  loss: 4.0693 (4.1193)  time: 0.8714  data: 0.2889  max mem: 4478\n",
            "Epoch: [41]  [ 20/164]  eta: 0:01:33  lr: 0.000044  loss: 4.0693 (4.1109)  time: 0.4882  data: 0.0015  max mem: 4478\n",
            "Epoch: [41]  [ 30/164]  eta: 0:01:16  lr: 0.000044  loss: 4.0858 (4.1069)  time: 0.4100  data: 0.0001  max mem: 4478\n",
            "Epoch: [41]  [ 40/164]  eta: 0:01:06  lr: 0.000044  loss: 4.0951 (4.1122)  time: 0.4090  data: 0.0007  max mem: 4478\n",
            "Epoch: [41]  [ 50/164]  eta: 0:00:58  lr: 0.000044  loss: 4.0031 (4.0863)  time: 0.4097  data: 0.0007  max mem: 4478\n",
            "Epoch: [41]  [ 60/164]  eta: 0:00:51  lr: 0.000044  loss: 4.0403 (4.1174)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [ 70/164]  eta: 0:00:45  lr: 0.000044  loss: 4.0629 (4.1029)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [ 80/164]  eta: 0:00:39  lr: 0.000044  loss: 3.9730 (4.0913)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [ 90/164]  eta: 0:00:34  lr: 0.000044  loss: 4.0430 (4.0951)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [100/164]  eta: 0:00:29  lr: 0.000044  loss: 4.0834 (4.0919)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [110/164]  eta: 0:00:24  lr: 0.000044  loss: 4.0652 (4.0855)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [120/164]  eta: 0:00:19  lr: 0.000044  loss: 4.0600 (4.0887)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [130/164]  eta: 0:00:15  lr: 0.000044  loss: 4.1236 (4.0974)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [140/164]  eta: 0:00:10  lr: 0.000044  loss: 4.0914 (4.0970)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [41]  [150/164]  eta: 0:00:06  lr: 0.000044  loss: 4.0720 (4.0901)  time: 0.3973  data: 0.0001  max mem: 4478\n",
            "Epoch: [41]  [160/164]  eta: 0:00:01  lr: 0.000044  loss: 3.9701 (4.0832)  time: 0.3806  data: 0.0001  max mem: 4478\n",
            "Epoch: [41]  [163/164]  eta: 0:00:00  lr: 0.000044  loss: 3.9696 (4.0836)  time: 0.3759  data: 0.0001  max mem: 4478\n",
            "Epoch: [41] Total time: 0:01:12 (0.4401 s / it)\n",
            "Averaged stats: lr: 0.000044  loss: 3.9696 (4.0836)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.7908 (3.7908)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4539  data: 3.1892  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1668 (3.1623)  acc1: 2.0833 (15.3409)  acc5: 46.8750 (53.3144)  time: 0.5978  data: 0.3830  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3490 (3.5829)  acc1: 0.0000 (8.4419)  acc5: 30.2083 (36.6858)  time: 0.4219  data: 0.2132  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4363 s / it)\n",
            "* Acc@1 8.442 Acc@5 36.686 loss 3.583\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [42]  [  0/164]  eta: 0:11:56  lr: 0.000044  loss: 4.5873 (4.5873)  time: 4.3669  data: 3.5667  max mem: 4478\n",
            "Epoch: [42]  [ 10/164]  eta: 0:02:14  lr: 0.000044  loss: 4.0778 (4.1286)  time: 0.8742  data: 0.3259  max mem: 4478\n",
            "Epoch: [42]  [ 20/164]  eta: 0:01:33  lr: 0.000044  loss: 4.0719 (4.1131)  time: 0.4668  data: 0.0010  max mem: 4478\n",
            "Epoch: [42]  [ 30/164]  eta: 0:01:16  lr: 0.000044  loss: 4.0787 (4.1076)  time: 0.4071  data: 0.0001  max mem: 4478\n",
            "Epoch: [42]  [ 40/164]  eta: 0:01:06  lr: 0.000044  loss: 4.1019 (4.1135)  time: 0.4070  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [ 50/164]  eta: 0:00:57  lr: 0.000044  loss: 3.9935 (4.0872)  time: 0.4075  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [ 60/164]  eta: 0:00:51  lr: 0.000044  loss: 4.0199 (4.1176)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [ 70/164]  eta: 0:00:45  lr: 0.000044  loss: 4.0968 (4.1040)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [ 80/164]  eta: 0:00:39  lr: 0.000044  loss: 3.9851 (4.0926)  time: 0.4190  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [ 90/164]  eta: 0:00:34  lr: 0.000044  loss: 4.0516 (4.0963)  time: 0.4173  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [100/164]  eta: 0:00:29  lr: 0.000044  loss: 4.0804 (4.0929)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [110/164]  eta: 0:00:24  lr: 0.000044  loss: 4.0674 (4.0858)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [120/164]  eta: 0:00:19  lr: 0.000044  loss: 4.0727 (4.0887)  time: 0.4064  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [130/164]  eta: 0:00:15  lr: 0.000044  loss: 4.1067 (4.0976)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [140/164]  eta: 0:00:10  lr: 0.000044  loss: 4.1215 (4.0978)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [42]  [150/164]  eta: 0:00:06  lr: 0.000044  loss: 4.0681 (4.0908)  time: 0.3962  data: 0.0001  max mem: 4478\n",
            "Epoch: [42]  [160/164]  eta: 0:00:01  lr: 0.000044  loss: 3.9809 (4.0840)  time: 0.3787  data: 0.0001  max mem: 4478\n",
            "Epoch: [42]  [163/164]  eta: 0:00:00  lr: 0.000044  loss: 3.9809 (4.0845)  time: 0.3751  data: 0.0001  max mem: 4478\n",
            "Epoch: [42] Total time: 0:01:11 (0.4390 s / it)\n",
            "Averaged stats: lr: 0.000044  loss: 3.9809 (4.0845)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8026 (3.8026)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5652  data: 3.2545  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1460 (3.1637)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.5949  data: 0.3825  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3643 (3.5743)  acc1: 0.0000 (9.0672)  acc5: 1.0417 (37.4674)  time: 0.4188  data: 0.2104  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4323 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.467 loss 3.574\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [43]  [  0/164]  eta: 0:12:09  lr: 0.000043  loss: 4.5785 (4.5785)  time: 4.4469  data: 3.7619  max mem: 4478\n",
            "Epoch: [43]  [ 10/164]  eta: 0:02:17  lr: 0.000043  loss: 4.0756 (4.1238)  time: 0.8913  data: 0.3437  max mem: 4478\n",
            "Epoch: [43]  [ 20/164]  eta: 0:01:35  lr: 0.000043  loss: 4.0756 (4.1117)  time: 0.4723  data: 0.0010  max mem: 4478\n",
            "Epoch: [43]  [ 30/164]  eta: 0:01:17  lr: 0.000043  loss: 4.0983 (4.1042)  time: 0.4090  data: 0.0001  max mem: 4478\n",
            "Epoch: [43]  [ 40/164]  eta: 0:01:06  lr: 0.000043  loss: 4.1365 (4.1116)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [ 50/164]  eta: 0:00:58  lr: 0.000043  loss: 4.0060 (4.0862)  time: 0.4102  data: 0.0004  max mem: 4478\n",
            "Epoch: [43]  [ 60/164]  eta: 0:00:51  lr: 0.000043  loss: 4.0192 (4.1160)  time: 0.4120  data: 0.0004  max mem: 4478\n",
            "Epoch: [43]  [ 70/164]  eta: 0:00:45  lr: 0.000043  loss: 4.0719 (4.1010)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [ 80/164]  eta: 0:00:39  lr: 0.000043  loss: 3.9841 (4.0899)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [ 90/164]  eta: 0:00:34  lr: 0.000043  loss: 4.0498 (4.0936)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [100/164]  eta: 0:00:29  lr: 0.000043  loss: 4.0775 (4.0914)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [110/164]  eta: 0:00:24  lr: 0.000043  loss: 4.0557 (4.0853)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [120/164]  eta: 0:00:20  lr: 0.000043  loss: 4.0637 (4.0889)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [130/164]  eta: 0:00:15  lr: 0.000043  loss: 4.1509 (4.0978)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [140/164]  eta: 0:00:10  lr: 0.000043  loss: 4.1173 (4.0976)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [43]  [150/164]  eta: 0:00:06  lr: 0.000043  loss: 4.0654 (4.0902)  time: 0.3993  data: 0.0001  max mem: 4478\n",
            "Epoch: [43]  [160/164]  eta: 0:00:01  lr: 0.000043  loss: 3.9761 (4.0836)  time: 0.3811  data: 0.0001  max mem: 4478\n",
            "Epoch: [43]  [163/164]  eta: 0:00:00  lr: 0.000043  loss: 3.9761 (4.0842)  time: 0.3759  data: 0.0001  max mem: 4478\n",
            "Epoch: [43] Total time: 0:01:12 (0.4406 s / it)\n",
            "Averaged stats: lr: 0.000043  loss: 3.9761 (4.0842)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.7885 (3.7885)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9280  data: 3.6626  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1434 (3.1634)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (52.9356)  time: 0.6108  data: 0.3942  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3370 (3.5765)  acc1: 0.0000 (9.0672)  acc5: 30.2083 (37.0505)  time: 0.4273  data: 0.2168  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4414 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.051 loss 3.577\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [44]  [  0/164]  eta: 0:12:05  lr: 0.000042  loss: 4.5471 (4.5471)  time: 4.4249  data: 3.6873  max mem: 4478\n",
            "Epoch: [44]  [ 10/164]  eta: 0:02:15  lr: 0.000042  loss: 4.0494 (4.1147)  time: 0.8810  data: 0.3365  max mem: 4478\n",
            "Epoch: [44]  [ 20/164]  eta: 0:01:34  lr: 0.000042  loss: 4.0494 (4.1087)  time: 0.4660  data: 0.0008  max mem: 4478\n",
            "Epoch: [44]  [ 30/164]  eta: 0:01:16  lr: 0.000042  loss: 4.1131 (4.1043)  time: 0.4057  data: 0.0001  max mem: 4478\n",
            "Epoch: [44]  [ 40/164]  eta: 0:01:06  lr: 0.000042  loss: 4.1122 (4.1111)  time: 0.4079  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [ 50/164]  eta: 0:00:58  lr: 0.000042  loss: 4.0105 (4.0853)  time: 0.4115  data: 0.0004  max mem: 4478\n",
            "Epoch: [44]  [ 60/164]  eta: 0:00:51  lr: 0.000042  loss: 4.0234 (4.1154)  time: 0.4134  data: 0.0004  max mem: 4478\n",
            "Epoch: [44]  [ 70/164]  eta: 0:00:45  lr: 0.000042  loss: 4.0918 (4.0998)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [ 80/164]  eta: 0:00:39  lr: 0.000042  loss: 3.9526 (4.0890)  time: 0.4173  data: 0.0003  max mem: 4478\n",
            "Epoch: [44]  [ 90/164]  eta: 0:00:34  lr: 0.000042  loss: 4.0515 (4.0930)  time: 0.4133  data: 0.0003  max mem: 4478\n",
            "Epoch: [44]  [100/164]  eta: 0:00:29  lr: 0.000042  loss: 4.0738 (4.0899)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [110/164]  eta: 0:00:24  lr: 0.000042  loss: 4.0635 (4.0836)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [120/164]  eta: 0:00:20  lr: 0.000042  loss: 4.0638 (4.0872)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [130/164]  eta: 0:00:15  lr: 0.000042  loss: 4.1457 (4.0960)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [140/164]  eta: 0:00:10  lr: 0.000042  loss: 4.0995 (4.0961)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [44]  [150/164]  eta: 0:00:06  lr: 0.000042  loss: 4.0647 (4.0892)  time: 0.3967  data: 0.0001  max mem: 4478\n",
            "Epoch: [44]  [160/164]  eta: 0:00:01  lr: 0.000042  loss: 3.9473 (4.0826)  time: 0.3809  data: 0.0001  max mem: 4478\n",
            "Epoch: [44]  [163/164]  eta: 0:00:00  lr: 0.000042  loss: 3.9473 (4.0828)  time: 0.3759  data: 0.0001  max mem: 4478\n",
            "Epoch: [44] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000042  loss: 3.9473 (4.0828)\n",
            "Test:  [ 0/20]  eta: 0:01:05  loss: 3.8034 (3.8034)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.2912  data: 3.0271  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1442 (3.1580)  acc1: 0.0000 (16.1932)  acc5: 46.8750 (51.7045)  time: 0.5766  data: 0.3617  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3553 (3.5709)  acc1: 0.0000 (8.9109)  acc5: 0.0000 (37.5717)  time: 0.4115  data: 0.2029  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4252 s / it)\n",
            "* Acc@1 8.911 Acc@5 37.572 loss 3.571\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [45]  [  0/164]  eta: 0:10:39  lr: 0.000041  loss: 4.5582 (4.5582)  time: 3.9002  data: 3.0553  max mem: 4478\n",
            "Epoch: [45]  [ 10/164]  eta: 0:02:13  lr: 0.000041  loss: 4.0759 (4.1182)  time: 0.8686  data: 0.2800  max mem: 4478\n",
            "Epoch: [45]  [ 20/164]  eta: 0:01:33  lr: 0.000041  loss: 4.0704 (4.1066)  time: 0.4872  data: 0.0013  max mem: 4478\n",
            "Epoch: [45]  [ 30/164]  eta: 0:01:16  lr: 0.000041  loss: 4.0692 (4.1030)  time: 0.4076  data: 0.0001  max mem: 4478\n",
            "Epoch: [45]  [ 40/164]  eta: 0:01:06  lr: 0.000041  loss: 4.1255 (4.1107)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [ 50/164]  eta: 0:00:57  lr: 0.000041  loss: 4.0102 (4.0852)  time: 0.4108  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [ 60/164]  eta: 0:00:51  lr: 0.000041  loss: 4.0126 (4.1144)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [ 70/164]  eta: 0:00:45  lr: 0.000041  loss: 4.0700 (4.0986)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [ 80/164]  eta: 0:00:39  lr: 0.000041  loss: 3.9749 (4.0882)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [ 90/164]  eta: 0:00:34  lr: 0.000041  loss: 4.0401 (4.0926)  time: 0.4086  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [100/164]  eta: 0:00:29  lr: 0.000041  loss: 4.0862 (4.0892)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [110/164]  eta: 0:00:24  lr: 0.000041  loss: 4.0532 (4.0825)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [120/164]  eta: 0:00:19  lr: 0.000041  loss: 4.0589 (4.0862)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [130/164]  eta: 0:00:15  lr: 0.000041  loss: 4.1362 (4.0948)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [140/164]  eta: 0:00:10  lr: 0.000041  loss: 4.1022 (4.0950)  time: 0.4040  data: 0.0002  max mem: 4478\n",
            "Epoch: [45]  [150/164]  eta: 0:00:06  lr: 0.000041  loss: 4.0506 (4.0882)  time: 0.3947  data: 0.0001  max mem: 4478\n",
            "Epoch: [45]  [160/164]  eta: 0:00:01  lr: 0.000041  loss: 3.9634 (4.0816)  time: 0.3818  data: 0.0001  max mem: 4478\n",
            "Epoch: [45]  [163/164]  eta: 0:00:00  lr: 0.000041  loss: 3.9621 (4.0821)  time: 0.3759  data: 0.0001  max mem: 4478\n",
            "Epoch: [45] Total time: 0:01:11 (0.4382 s / it)\n",
            "Averaged stats: lr: 0.000041  loss: 3.9621 (4.0821)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.8207 (3.8207)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7968  data: 3.5407  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1160 (3.1564)  acc1: 0.0000 (16.5720)  acc5: 46.8750 (51.8939)  time: 0.6013  data: 0.3892  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3631 (3.5679)  acc1: 0.0000 (9.1193)  acc5: 1.0417 (37.6238)  time: 0.4223  data: 0.2141  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4395 s / it)\n",
            "* Acc@1 9.119 Acc@5 37.624 loss 3.568\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [46]  [  0/164]  eta: 0:11:51  lr: 0.000040  loss: 4.5670 (4.5670)  time: 4.3393  data: 3.5794  max mem: 4478\n",
            "Epoch: [46]  [ 10/164]  eta: 0:02:14  lr: 0.000040  loss: 4.0504 (4.1172)  time: 0.8703  data: 0.3260  max mem: 4478\n",
            "Epoch: [46]  [ 20/164]  eta: 0:01:33  lr: 0.000040  loss: 4.0504 (4.1035)  time: 0.4647  data: 0.0004  max mem: 4478\n",
            "Epoch: [46]  [ 30/164]  eta: 0:01:16  lr: 0.000040  loss: 4.0914 (4.0999)  time: 0.4078  data: 0.0001  max mem: 4478\n",
            "Epoch: [46]  [ 40/164]  eta: 0:01:05  lr: 0.000040  loss: 4.1509 (4.1098)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [ 50/164]  eta: 0:00:57  lr: 0.000040  loss: 3.9933 (4.0856)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [ 60/164]  eta: 0:00:51  lr: 0.000040  loss: 4.0304 (4.1173)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [ 70/164]  eta: 0:00:45  lr: 0.000040  loss: 4.1062 (4.1034)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [ 80/164]  eta: 0:00:39  lr: 0.000040  loss: 3.9708 (4.0925)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [ 90/164]  eta: 0:00:34  lr: 0.000040  loss: 4.0450 (4.0957)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [100/164]  eta: 0:00:29  lr: 0.000040  loss: 4.0841 (4.0922)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [110/164]  eta: 0:00:24  lr: 0.000040  loss: 4.0619 (4.0859)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [120/164]  eta: 0:00:19  lr: 0.000040  loss: 4.0838 (4.0896)  time: 0.4089  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [130/164]  eta: 0:00:15  lr: 0.000040  loss: 4.1302 (4.0988)  time: 0.4059  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [140/164]  eta: 0:00:10  lr: 0.000040  loss: 4.1060 (4.0990)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [46]  [150/164]  eta: 0:00:06  lr: 0.000040  loss: 4.0526 (4.0918)  time: 0.4014  data: 0.0001  max mem: 4478\n",
            "Epoch: [46]  [160/164]  eta: 0:00:01  lr: 0.000040  loss: 3.9657 (4.0850)  time: 0.3812  data: 0.0001  max mem: 4478\n",
            "Epoch: [46]  [163/164]  eta: 0:00:00  lr: 0.000040  loss: 3.9657 (4.0855)  time: 0.3758  data: 0.0001  max mem: 4478\n",
            "Epoch: [46] Total time: 0:01:11 (0.4388 s / it)\n",
            "Averaged stats: lr: 0.000040  loss: 3.9657 (4.0855)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.8220 (3.8220)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9089  data: 3.5764  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1467 (3.1677)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.6156  data: 0.3945  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3938 (3.5824)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4297  data: 0.2170  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4440 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.582\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [47]  [  0/164]  eta: 0:11:19  lr: 0.000040  loss: 4.5613 (4.5613)  time: 4.1404  data: 3.4178  max mem: 4478\n",
            "Epoch: [47]  [ 10/164]  eta: 0:02:14  lr: 0.000040  loss: 4.0539 (4.1167)  time: 0.8727  data: 0.3126  max mem: 4478\n",
            "Epoch: [47]  [ 20/164]  eta: 0:01:33  lr: 0.000040  loss: 4.0539 (4.1058)  time: 0.4774  data: 0.0011  max mem: 4478\n",
            "Epoch: [47]  [ 30/164]  eta: 0:01:16  lr: 0.000040  loss: 4.0713 (4.1032)  time: 0.4095  data: 0.0001  max mem: 4478\n",
            "Epoch: [47]  [ 40/164]  eta: 0:01:06  lr: 0.000040  loss: 4.1432 (4.1105)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [ 50/164]  eta: 0:00:58  lr: 0.000040  loss: 4.0019 (4.0844)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [ 60/164]  eta: 0:00:51  lr: 0.000040  loss: 4.0219 (4.1151)  time: 0.4161  data: 0.0005  max mem: 4478\n",
            "Epoch: [47]  [ 70/164]  eta: 0:00:45  lr: 0.000040  loss: 4.0759 (4.1012)  time: 0.4119  data: 0.0005  max mem: 4478\n",
            "Epoch: [47]  [ 80/164]  eta: 0:00:39  lr: 0.000040  loss: 3.9721 (4.0909)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [ 90/164]  eta: 0:00:34  lr: 0.000040  loss: 4.0482 (4.0943)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [100/164]  eta: 0:00:29  lr: 0.000040  loss: 4.0723 (4.0912)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [110/164]  eta: 0:00:24  lr: 0.000040  loss: 4.0539 (4.0845)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [120/164]  eta: 0:00:19  lr: 0.000040  loss: 4.0695 (4.0873)  time: 0.4074  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [130/164]  eta: 0:00:15  lr: 0.000040  loss: 4.1304 (4.0966)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [140/164]  eta: 0:00:10  lr: 0.000040  loss: 4.1177 (4.0966)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [47]  [150/164]  eta: 0:00:06  lr: 0.000040  loss: 4.0687 (4.0895)  time: 0.4023  data: 0.0001  max mem: 4478\n",
            "Epoch: [47]  [160/164]  eta: 0:00:01  lr: 0.000040  loss: 3.9807 (4.0830)  time: 0.3819  data: 0.0001  max mem: 4478\n",
            "Epoch: [47]  [163/164]  eta: 0:00:00  lr: 0.000040  loss: 3.9807 (4.0837)  time: 0.3761  data: 0.0001  max mem: 4478\n",
            "Epoch: [47] Total time: 0:01:12 (0.4403 s / it)\n",
            "Averaged stats: lr: 0.000040  loss: 3.9807 (4.0837)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8114 (3.8114)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5333  data: 3.2700  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1404 (3.1688)  acc1: 0.0000 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.5975  data: 0.3867  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3850 (3.5787)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4194  data: 0.2127  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4327 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.579\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [48]  [  0/164]  eta: 0:10:56  lr: 0.000039  loss: 4.5491 (4.5491)  time: 4.0009  data: 3.1672  max mem: 4478\n",
            "Epoch: [48]  [ 10/164]  eta: 0:02:15  lr: 0.000039  loss: 4.0706 (4.1227)  time: 0.8818  data: 0.2894  max mem: 4478\n",
            "Epoch: [48]  [ 20/164]  eta: 0:01:34  lr: 0.000039  loss: 4.0644 (4.1071)  time: 0.4864  data: 0.0009  max mem: 4478\n",
            "Epoch: [48]  [ 30/164]  eta: 0:01:16  lr: 0.000039  loss: 4.0568 (4.1025)  time: 0.4036  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 40/164]  eta: 0:01:06  lr: 0.000039  loss: 4.1062 (4.1075)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 50/164]  eta: 0:00:58  lr: 0.000039  loss: 4.0006 (4.0824)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 60/164]  eta: 0:00:51  lr: 0.000039  loss: 4.0235 (4.1136)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 70/164]  eta: 0:00:45  lr: 0.000039  loss: 4.0759 (4.0990)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 80/164]  eta: 0:00:39  lr: 0.000039  loss: 3.9740 (4.0890)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [ 90/164]  eta: 0:00:34  lr: 0.000039  loss: 4.0485 (4.0928)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [100/164]  eta: 0:00:29  lr: 0.000039  loss: 4.0750 (4.0890)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [110/164]  eta: 0:00:24  lr: 0.000039  loss: 4.0453 (4.0830)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [120/164]  eta: 0:00:19  lr: 0.000039  loss: 4.0807 (4.0864)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [130/164]  eta: 0:00:15  lr: 0.000039  loss: 4.1416 (4.0959)  time: 0.4079  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [140/164]  eta: 0:00:10  lr: 0.000039  loss: 4.1211 (4.0959)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [48]  [150/164]  eta: 0:00:06  lr: 0.000039  loss: 4.0460 (4.0891)  time: 0.3984  data: 0.0001  max mem: 4478\n",
            "Epoch: [48]  [160/164]  eta: 0:00:01  lr: 0.000039  loss: 3.9621 (4.0825)  time: 0.3805  data: 0.0001  max mem: 4478\n",
            "Epoch: [48]  [163/164]  eta: 0:00:00  lr: 0.000039  loss: 3.9621 (4.0830)  time: 0.3765  data: 0.0001  max mem: 4478\n",
            "Epoch: [48] Total time: 0:01:12 (0.4397 s / it)\n",
            "Averaged stats: lr: 0.000039  loss: 3.9621 (4.0830)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.8129 (3.8129)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9048  data: 3.5907  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1353 (3.1648)  acc1: 1.0417 (16.0038)  acc5: 46.8750 (51.7045)  time: 0.6240  data: 0.4014  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3689 (3.5792)  acc1: 0.0000 (8.8067)  acc5: 0.0000 (37.5717)  time: 0.4346  data: 0.2208  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4486 s / it)\n",
            "* Acc@1 8.807 Acc@5 37.572 loss 3.579\n",
            "Accuracy of the network on the 1919 test images: 8.8%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [49]  [  0/164]  eta: 0:11:18  lr: 0.000038  loss: 4.5678 (4.5678)  time: 4.1349  data: 3.2948  max mem: 4478\n",
            "Epoch: [49]  [ 10/164]  eta: 0:02:17  lr: 0.000038  loss: 4.0748 (4.1189)  time: 0.8916  data: 0.3011  max mem: 4478\n",
            "Epoch: [49]  [ 20/164]  eta: 0:01:34  lr: 0.000038  loss: 4.0748 (4.1042)  time: 0.4852  data: 0.0009  max mem: 4478\n",
            "Epoch: [49]  [ 30/164]  eta: 0:01:17  lr: 0.000038  loss: 4.0784 (4.1013)  time: 0.4079  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 40/164]  eta: 0:01:06  lr: 0.000038  loss: 4.1012 (4.1101)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 50/164]  eta: 0:00:58  lr: 0.000038  loss: 4.0037 (4.0847)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 60/164]  eta: 0:00:51  lr: 0.000038  loss: 4.0217 (4.1157)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 70/164]  eta: 0:00:45  lr: 0.000038  loss: 4.0719 (4.1004)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 80/164]  eta: 0:00:39  lr: 0.000038  loss: 3.9613 (4.0892)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [ 90/164]  eta: 0:00:34  lr: 0.000038  loss: 4.0522 (4.0927)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [100/164]  eta: 0:00:29  lr: 0.000038  loss: 4.0751 (4.0889)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [110/164]  eta: 0:00:24  lr: 0.000038  loss: 4.0520 (4.0822)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [120/164]  eta: 0:00:20  lr: 0.000038  loss: 4.0648 (4.0854)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [130/164]  eta: 0:00:15  lr: 0.000038  loss: 4.1394 (4.0938)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [49]  [140/164]  eta: 0:00:10  lr: 0.000038  loss: 4.1190 (4.0942)  time: 0.4200  data: 0.0014  max mem: 4478\n",
            "Epoch: [49]  [150/164]  eta: 0:00:06  lr: 0.000038  loss: 4.0503 (4.0874)  time: 0.4041  data: 0.0014  max mem: 4478\n",
            "Epoch: [49]  [160/164]  eta: 0:00:01  lr: 0.000038  loss: 3.9685 (4.0807)  time: 0.3813  data: 0.0001  max mem: 4478\n",
            "Epoch: [49]  [163/164]  eta: 0:00:00  lr: 0.000038  loss: 3.9685 (4.0811)  time: 0.3762  data: 0.0001  max mem: 4478\n",
            "Epoch: [49] Total time: 0:01:12 (0.4419 s / it)\n",
            "Averaged stats: lr: 0.000038  loss: 3.9685 (4.0811)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.8031 (3.8031)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4854  data: 3.1877  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1148 (3.1570)  acc1: 9.3750 (15.5303)  acc5: 46.8750 (51.7045)  time: 0.5863  data: 0.3675  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3463 (3.5694)  acc1: 0.0000 (8.5461)  acc5: 0.0000 (37.5717)  time: 0.4179  data: 0.2067  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4309 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.572 loss 3.569\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [50]  [  0/164]  eta: 0:10:35  lr: 0.000037  loss: 4.5615 (4.5615)  time: 3.8750  data: 3.0066  max mem: 4478\n",
            "Epoch: [50]  [ 10/164]  eta: 0:02:12  lr: 0.000037  loss: 4.0561 (4.1161)  time: 0.8623  data: 0.2751  max mem: 4478\n",
            "Epoch: [50]  [ 20/164]  eta: 0:01:33  lr: 0.000037  loss: 4.0561 (4.1039)  time: 0.4844  data: 0.0010  max mem: 4478\n",
            "Epoch: [50]  [ 30/164]  eta: 0:01:16  lr: 0.000037  loss: 4.0743 (4.0976)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 40/164]  eta: 0:01:05  lr: 0.000037  loss: 4.1144 (4.1062)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 50/164]  eta: 0:00:57  lr: 0.000037  loss: 4.0012 (4.0816)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 60/164]  eta: 0:00:51  lr: 0.000037  loss: 4.0064 (4.1122)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 70/164]  eta: 0:00:45  lr: 0.000037  loss: 4.0787 (4.0982)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 80/164]  eta: 0:00:39  lr: 0.000037  loss: 3.9543 (4.0881)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [ 90/164]  eta: 0:00:34  lr: 0.000037  loss: 4.0601 (4.0917)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [100/164]  eta: 0:00:29  lr: 0.000037  loss: 4.0863 (4.0884)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [110/164]  eta: 0:00:24  lr: 0.000037  loss: 4.0573 (4.0817)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [120/164]  eta: 0:00:19  lr: 0.000037  loss: 4.0703 (4.0855)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [130/164]  eta: 0:00:15  lr: 0.000037  loss: 4.1308 (4.0944)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [140/164]  eta: 0:00:10  lr: 0.000037  loss: 4.1035 (4.0944)  time: 0.4097  data: 0.0002  max mem: 4478\n",
            "Epoch: [50]  [150/164]  eta: 0:00:06  lr: 0.000037  loss: 4.0688 (4.0875)  time: 0.3989  data: 0.0001  max mem: 4478\n",
            "Epoch: [50]  [160/164]  eta: 0:00:01  lr: 0.000037  loss: 3.9725 (4.0808)  time: 0.3816  data: 0.0001  max mem: 4478\n",
            "Epoch: [50]  [163/164]  eta: 0:00:00  lr: 0.000037  loss: 3.9638 (4.0813)  time: 0.3767  data: 0.0001  max mem: 4478\n",
            "Epoch: [50] Total time: 0:01:11 (0.4390 s / it)\n",
            "Averaged stats: lr: 0.000037  loss: 3.9638 (4.0813)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.8124 (3.8124)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6082  data: 3.2574  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1102 (3.1562)  acc1: 9.3750 (14.8674)  acc5: 46.8750 (51.7045)  time: 0.5991  data: 0.3740  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3476 (3.5739)  acc1: 0.0000 (8.1813)  acc5: 0.0000 (37.5717)  time: 0.4210  data: 0.2058  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4342 s / it)\n",
            "* Acc@1 8.181 Acc@5 37.572 loss 3.574\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [51]  [  0/164]  eta: 0:10:56  lr: 0.000036  loss: 4.5491 (4.5491)  time: 4.0041  data: 3.1941  max mem: 4478\n",
            "Epoch: [51]  [ 10/164]  eta: 0:02:16  lr: 0.000036  loss: 4.0727 (4.1157)  time: 0.8879  data: 0.2929  max mem: 4478\n",
            "Epoch: [51]  [ 20/164]  eta: 0:01:35  lr: 0.000036  loss: 4.0727 (4.1082)  time: 0.4942  data: 0.0014  max mem: 4478\n",
            "Epoch: [51]  [ 30/164]  eta: 0:01:17  lr: 0.000036  loss: 4.0804 (4.1048)  time: 0.4082  data: 0.0001  max mem: 4478\n",
            "Epoch: [51]  [ 40/164]  eta: 0:01:06  lr: 0.000036  loss: 4.1271 (4.1100)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [ 50/164]  eta: 0:00:58  lr: 0.000036  loss: 4.0018 (4.0848)  time: 0.4089  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [ 60/164]  eta: 0:00:51  lr: 0.000036  loss: 4.0237 (4.1150)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [ 70/164]  eta: 0:00:45  lr: 0.000036  loss: 4.0914 (4.0997)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [ 80/164]  eta: 0:00:39  lr: 0.000036  loss: 3.9656 (4.0886)  time: 0.4172  data: 0.0003  max mem: 4478\n",
            "Epoch: [51]  [ 90/164]  eta: 0:00:34  lr: 0.000036  loss: 4.0525 (4.0917)  time: 0.4180  data: 0.0003  max mem: 4478\n",
            "Epoch: [51]  [100/164]  eta: 0:00:29  lr: 0.000036  loss: 4.0817 (4.0881)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [110/164]  eta: 0:00:24  lr: 0.000036  loss: 4.0675 (4.0810)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [120/164]  eta: 0:00:20  lr: 0.000036  loss: 4.0668 (4.0839)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [130/164]  eta: 0:00:15  lr: 0.000036  loss: 4.1248 (4.0929)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [140/164]  eta: 0:00:10  lr: 0.000036  loss: 4.1021 (4.0932)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [51]  [150/164]  eta: 0:00:06  lr: 0.000036  loss: 4.0558 (4.0864)  time: 0.3972  data: 0.0001  max mem: 4478\n",
            "Epoch: [51]  [160/164]  eta: 0:00:01  lr: 0.000036  loss: 3.9632 (4.0796)  time: 0.3812  data: 0.0001  max mem: 4478\n",
            "Epoch: [51]  [163/164]  eta: 0:00:00  lr: 0.000036  loss: 3.9565 (4.0799)  time: 0.3764  data: 0.0001  max mem: 4478\n",
            "Epoch: [51] Total time: 0:01:12 (0.4406 s / it)\n",
            "Averaged stats: lr: 0.000036  loss: 3.9565 (4.0799)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7989 (3.7989)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6307  data: 3.3416  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1088 (3.1578)  acc1: 1.0417 (15.8144)  acc5: 46.8750 (51.7045)  time: 0.5851  data: 0.3696  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3588 (3.5692)  acc1: 0.0000 (8.7024)  acc5: 0.0000 (37.5717)  time: 0.4177  data: 0.2085  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4320 s / it)\n",
            "* Acc@1 8.702 Acc@5 37.572 loss 3.569\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [52]  [  0/164]  eta: 0:09:54  lr: 0.000035  loss: 4.5708 (4.5708)  time: 3.6275  data: 2.8417  max mem: 4478\n",
            "Epoch: [52]  [ 10/164]  eta: 0:02:13  lr: 0.000035  loss: 4.0562 (4.1144)  time: 0.8672  data: 0.2601  max mem: 4478\n",
            "Epoch: [52]  [ 20/164]  eta: 0:01:34  lr: 0.000035  loss: 4.0562 (4.1100)  time: 0.5079  data: 0.0010  max mem: 4478\n",
            "Epoch: [52]  [ 30/164]  eta: 0:01:17  lr: 0.000035  loss: 4.1189 (4.1026)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 40/164]  eta: 0:01:06  lr: 0.000035  loss: 4.1224 (4.1103)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 50/164]  eta: 0:00:58  lr: 0.000035  loss: 4.0045 (4.0840)  time: 0.4094  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 60/164]  eta: 0:00:51  lr: 0.000035  loss: 4.0282 (4.1135)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 70/164]  eta: 0:00:45  lr: 0.000035  loss: 4.0728 (4.0988)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 80/164]  eta: 0:00:39  lr: 0.000035  loss: 3.9542 (4.0878)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [ 90/164]  eta: 0:00:34  lr: 0.000035  loss: 4.0461 (4.0915)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [100/164]  eta: 0:00:29  lr: 0.000035  loss: 4.0799 (4.0883)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [110/164]  eta: 0:00:24  lr: 0.000035  loss: 4.0460 (4.0814)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [120/164]  eta: 0:00:20  lr: 0.000035  loss: 4.0573 (4.0844)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [130/164]  eta: 0:00:15  lr: 0.000035  loss: 4.1479 (4.0933)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [140/164]  eta: 0:00:10  lr: 0.000035  loss: 4.1090 (4.0932)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [52]  [150/164]  eta: 0:00:06  lr: 0.000035  loss: 4.0317 (4.0865)  time: 0.3979  data: 0.0001  max mem: 4478\n",
            "Epoch: [52]  [160/164]  eta: 0:00:01  lr: 0.000035  loss: 3.9664 (4.0802)  time: 0.3823  data: 0.0001  max mem: 4478\n",
            "Epoch: [52]  [163/164]  eta: 0:00:00  lr: 0.000035  loss: 3.9532 (4.0803)  time: 0.3772  data: 0.0001  max mem: 4478\n",
            "Epoch: [52] Total time: 0:01:12 (0.4409 s / it)\n",
            "Averaged stats: lr: 0.000035  loss: 3.9532 (4.0803)\n",
            "Test:  [ 0/20]  eta: 0:01:26  loss: 3.7966 (3.7966)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.3247  data: 4.0176  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1019 (3.1489)  acc1: 5.2083 (15.7197)  acc5: 46.8750 (51.7045)  time: 0.6091  data: 0.3949  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3488 (3.5631)  acc1: 0.0000 (8.6503)  acc5: 0.0000 (37.5717)  time: 0.4266  data: 0.2172  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4402 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.572 loss 3.563\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [53]  [  0/164]  eta: 0:11:25  lr: 0.000035  loss: 4.5672 (4.5672)  time: 4.1823  data: 3.4047  max mem: 4478\n",
            "Epoch: [53]  [ 10/164]  eta: 0:02:14  lr: 0.000035  loss: 4.0542 (4.1167)  time: 0.8735  data: 0.3123  max mem: 4478\n",
            "Epoch: [53]  [ 20/164]  eta: 0:01:34  lr: 0.000035  loss: 4.0542 (4.1063)  time: 0.4767  data: 0.0016  max mem: 4478\n",
            "Epoch: [53]  [ 30/164]  eta: 0:01:17  lr: 0.000035  loss: 4.0725 (4.1027)  time: 0.4154  data: 0.0001  max mem: 4478\n",
            "Epoch: [53]  [ 40/164]  eta: 0:01:06  lr: 0.000035  loss: 4.0974 (4.1087)  time: 0.4155  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [ 50/164]  eta: 0:00:58  lr: 0.000035  loss: 4.0302 (4.0839)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [ 60/164]  eta: 0:00:51  lr: 0.000035  loss: 4.0118 (4.1132)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [ 70/164]  eta: 0:00:45  lr: 0.000035  loss: 4.0950 (4.0988)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [ 80/164]  eta: 0:00:40  lr: 0.000035  loss: 3.9678 (4.0881)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [ 90/164]  eta: 0:00:34  lr: 0.000035  loss: 4.0541 (4.0922)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [100/164]  eta: 0:00:29  lr: 0.000035  loss: 4.0669 (4.0885)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [110/164]  eta: 0:00:24  lr: 0.000035  loss: 4.0442 (4.0816)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [120/164]  eta: 0:00:20  lr: 0.000035  loss: 4.0778 (4.0845)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [53]  [130/164]  eta: 0:00:15  lr: 0.000035  loss: 4.1267 (4.0928)  time: 0.4119  data: 0.0004  max mem: 4478\n",
            "Epoch: [53]  [140/164]  eta: 0:00:10  lr: 0.000035  loss: 4.1099 (4.0934)  time: 0.4118  data: 0.0004  max mem: 4478\n",
            "Epoch: [53]  [150/164]  eta: 0:00:06  lr: 0.000035  loss: 4.0529 (4.0866)  time: 0.3966  data: 0.0001  max mem: 4478\n",
            "Epoch: [53]  [160/164]  eta: 0:00:01  lr: 0.000035  loss: 3.9625 (4.0802)  time: 0.3809  data: 0.0001  max mem: 4478\n",
            "Epoch: [53]  [163/164]  eta: 0:00:00  lr: 0.000035  loss: 3.9590 (4.0803)  time: 0.3766  data: 0.0001  max mem: 4478\n",
            "Epoch: [53] Total time: 0:01:12 (0.4411 s / it)\n",
            "Averaged stats: lr: 0.000035  loss: 3.9590 (4.0803)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8023 (3.8023)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5876  data: 3.3124  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1184 (3.1542)  acc1: 4.1667 (15.3409)  acc5: 46.8750 (51.7045)  time: 0.5863  data: 0.3678  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3543 (3.5701)  acc1: 0.0000 (8.4419)  acc5: 0.0000 (37.5717)  time: 0.4195  data: 0.2081  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4328 s / it)\n",
            "* Acc@1 8.442 Acc@5 37.572 loss 3.570\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [54]  [  0/164]  eta: 0:11:34  lr: 0.000034  loss: 4.5542 (4.5542)  time: 4.2356  data: 3.4844  max mem: 4478\n",
            "Epoch: [54]  [ 10/164]  eta: 0:02:13  lr: 0.000034  loss: 4.0592 (4.1163)  time: 0.8698  data: 0.3202  max mem: 4478\n",
            "Epoch: [54]  [ 20/164]  eta: 0:01:33  lr: 0.000034  loss: 4.0592 (4.1034)  time: 0.4733  data: 0.0020  max mem: 4478\n",
            "Epoch: [54]  [ 30/164]  eta: 0:01:16  lr: 0.000034  loss: 4.0925 (4.0991)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 40/164]  eta: 0:01:06  lr: 0.000034  loss: 4.1077 (4.1057)  time: 0.4080  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 50/164]  eta: 0:00:58  lr: 0.000034  loss: 3.9890 (4.0806)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 60/164]  eta: 0:00:51  lr: 0.000034  loss: 3.9942 (4.1122)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 70/164]  eta: 0:00:45  lr: 0.000034  loss: 4.0989 (4.0973)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 80/164]  eta: 0:00:39  lr: 0.000034  loss: 3.9639 (4.0865)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [ 90/164]  eta: 0:00:34  lr: 0.000034  loss: 4.0565 (4.0895)  time: 0.4208  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [100/164]  eta: 0:00:29  lr: 0.000034  loss: 4.0712 (4.0859)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [110/164]  eta: 0:00:24  lr: 0.000034  loss: 4.0431 (4.0801)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [120/164]  eta: 0:00:20  lr: 0.000034  loss: 4.0554 (4.0840)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [130/164]  eta: 0:00:15  lr: 0.000034  loss: 4.1470 (4.0926)  time: 0.4077  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [140/164]  eta: 0:00:10  lr: 0.000034  loss: 4.1129 (4.0927)  time: 0.4065  data: 0.0002  max mem: 4478\n",
            "Epoch: [54]  [150/164]  eta: 0:00:06  lr: 0.000034  loss: 4.0506 (4.0856)  time: 0.3975  data: 0.0001  max mem: 4478\n",
            "Epoch: [54]  [160/164]  eta: 0:00:01  lr: 0.000034  loss: 3.9627 (4.0787)  time: 0.3815  data: 0.0001  max mem: 4478\n",
            "Epoch: [54]  [163/164]  eta: 0:00:00  lr: 0.000034  loss: 3.9627 (4.0792)  time: 0.3772  data: 0.0001  max mem: 4478\n",
            "Epoch: [54] Total time: 0:01:12 (0.4402 s / it)\n",
            "Averaged stats: lr: 0.000034  loss: 3.9627 (4.0792)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.8171 (3.8171)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4588  data: 3.1713  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1199 (3.1492)  acc1: 5.2083 (15.6250)  acc5: 46.8750 (51.7045)  time: 0.5910  data: 0.3740  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3585 (3.5628)  acc1: 0.0000 (8.5982)  acc5: 0.0000 (37.5717)  time: 0.4179  data: 0.2079  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4318 s / it)\n",
            "* Acc@1 8.598 Acc@5 37.572 loss 3.563\n",
            "Accuracy of the network on the 1919 test images: 8.6%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [55]  [  0/164]  eta: 0:11:30  lr: 0.000033  loss: 4.5768 (4.5768)  time: 4.2093  data: 3.4215  max mem: 4478\n",
            "Epoch: [55]  [ 10/164]  eta: 0:02:15  lr: 0.000033  loss: 4.0746 (4.1152)  time: 0.8767  data: 0.3154  max mem: 4478\n",
            "Epoch: [55]  [ 20/164]  eta: 0:01:34  lr: 0.000033  loss: 4.0746 (4.1078)  time: 0.4814  data: 0.0025  max mem: 4478\n",
            "Epoch: [55]  [ 30/164]  eta: 0:01:17  lr: 0.000033  loss: 4.0830 (4.0974)  time: 0.4168  data: 0.0001  max mem: 4478\n",
            "Epoch: [55]  [ 40/164]  eta: 0:01:06  lr: 0.000033  loss: 4.1324 (4.1023)  time: 0.4078  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [ 50/164]  eta: 0:00:58  lr: 0.000033  loss: 4.0068 (4.0774)  time: 0.4071  data: 0.0003  max mem: 4478\n",
            "Epoch: [55]  [ 60/164]  eta: 0:00:51  lr: 0.000033  loss: 4.0195 (4.1080)  time: 0.4158  data: 0.0003  max mem: 4478\n",
            "Epoch: [55]  [ 70/164]  eta: 0:00:45  lr: 0.000033  loss: 4.0782 (4.0932)  time: 0.4190  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [ 80/164]  eta: 0:00:40  lr: 0.000033  loss: 3.9733 (4.0825)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [ 90/164]  eta: 0:00:34  lr: 0.000033  loss: 4.0309 (4.0868)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [100/164]  eta: 0:00:29  lr: 0.000033  loss: 4.0913 (4.0813)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [110/164]  eta: 0:00:24  lr: 0.000033  loss: 4.0313 (4.0754)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [120/164]  eta: 0:00:20  lr: 0.000033  loss: 4.0617 (4.0792)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [130/164]  eta: 0:00:15  lr: 0.000033  loss: 4.1402 (4.0864)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [140/164]  eta: 0:00:10  lr: 0.000033  loss: 4.0926 (4.0869)  time: 0.4168  data: 0.0002  max mem: 4478\n",
            "Epoch: [55]  [150/164]  eta: 0:00:06  lr: 0.000033  loss: 4.0489 (4.0799)  time: 0.4033  data: 0.0001  max mem: 4478\n",
            "Epoch: [55]  [160/164]  eta: 0:00:01  lr: 0.000033  loss: 3.9570 (4.0732)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [55]  [163/164]  eta: 0:00:00  lr: 0.000033  loss: 3.9570 (4.0739)  time: 0.3773  data: 0.0001  max mem: 4478\n",
            "Epoch: [55] Total time: 0:01:12 (0.4419 s / it)\n",
            "Averaged stats: lr: 0.000033  loss: 3.9570 (4.0739)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.8460 (3.8460)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.8302  data: 3.5118  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1062 (3.1473)  acc1: 0.0000 (16.2879)  acc5: 46.8750 (51.7045)  time: 0.6083  data: 0.3903  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3598 (3.5581)  acc1: 0.0000 (8.9630)  acc5: 0.0000 (37.5717)  time: 0.4254  data: 0.2147  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4388 s / it)\n",
            "* Acc@1 8.963 Acc@5 37.572 loss 3.558\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [56]  [  0/164]  eta: 0:11:04  lr: 0.000032  loss: 4.5355 (4.5355)  time: 4.0529  data: 3.1757  max mem: 4478\n",
            "Epoch: [56]  [ 10/164]  eta: 0:02:14  lr: 0.000032  loss: 4.0725 (4.1115)  time: 0.8719  data: 0.2906  max mem: 4478\n",
            "Epoch: [56]  [ 20/164]  eta: 0:01:33  lr: 0.000032  loss: 4.0581 (4.1049)  time: 0.4821  data: 0.0011  max mem: 4478\n",
            "Epoch: [56]  [ 30/164]  eta: 0:01:16  lr: 0.000032  loss: 4.0581 (4.0989)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [ 40/164]  eta: 0:01:06  lr: 0.000032  loss: 4.0982 (4.1082)  time: 0.4091  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [ 50/164]  eta: 0:00:58  lr: 0.000032  loss: 4.0245 (4.0825)  time: 0.4118  data: 0.0004  max mem: 4478\n",
            "Epoch: [56]  [ 60/164]  eta: 0:00:51  lr: 0.000032  loss: 4.0206 (4.1098)  time: 0.4135  data: 0.0004  max mem: 4478\n",
            "Epoch: [56]  [ 70/164]  eta: 0:00:45  lr: 0.000032  loss: 4.0580 (4.0954)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [ 80/164]  eta: 0:00:39  lr: 0.000032  loss: 3.9639 (4.0836)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [ 90/164]  eta: 0:00:34  lr: 0.000032  loss: 4.0220 (4.0884)  time: 0.4182  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [100/164]  eta: 0:00:29  lr: 0.000032  loss: 4.0907 (4.0840)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [110/164]  eta: 0:00:24  lr: 0.000032  loss: 4.0525 (4.0782)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [120/164]  eta: 0:00:19  lr: 0.000032  loss: 4.0784 (4.0817)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [130/164]  eta: 0:00:15  lr: 0.000032  loss: 4.1110 (4.0902)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [140/164]  eta: 0:00:10  lr: 0.000032  loss: 4.1034 (4.0899)  time: 0.4070  data: 0.0002  max mem: 4478\n",
            "Epoch: [56]  [150/164]  eta: 0:00:06  lr: 0.000032  loss: 4.0480 (4.0831)  time: 0.3982  data: 0.0001  max mem: 4478\n",
            "Epoch: [56]  [160/164]  eta: 0:00:01  lr: 0.000032  loss: 3.9774 (4.0767)  time: 0.3824  data: 0.0001  max mem: 4478\n",
            "Epoch: [56]  [163/164]  eta: 0:00:00  lr: 0.000032  loss: 3.9659 (4.0769)  time: 0.3776  data: 0.0001  max mem: 4478\n",
            "Epoch: [56] Total time: 0:01:12 (0.4403 s / it)\n",
            "Averaged stats: lr: 0.000032  loss: 3.9659 (4.0769)\n",
            "Test:  [ 0/20]  eta: 0:01:24  loss: 3.8344 (3.8344)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.2100  data: 3.8919  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1057 (3.1475)  acc1: 8.3333 (16.0985)  acc5: 46.8750 (51.8939)  time: 0.6257  data: 0.4080  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3618 (3.5562)  acc1: 0.0000 (8.8588)  acc5: 5.2083 (37.6759)  time: 0.4356  data: 0.2244  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4487 s / it)\n",
            "* Acc@1 8.859 Acc@5 37.676 loss 3.556\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [57]  [  0/164]  eta: 0:11:09  lr: 0.000031  loss: 4.5669 (4.5669)  time: 4.0803  data: 3.2753  max mem: 4478\n",
            "Epoch: [57]  [ 10/164]  eta: 0:02:22  lr: 0.000031  loss: 4.0754 (4.1140)  time: 0.9226  data: 0.2995  max mem: 4478\n",
            "Epoch: [57]  [ 20/164]  eta: 0:01:38  lr: 0.000031  loss: 4.0638 (4.1029)  time: 0.5109  data: 0.0010  max mem: 4478\n",
            "Epoch: [57]  [ 30/164]  eta: 0:01:19  lr: 0.000031  loss: 4.0714 (4.1013)  time: 0.4124  data: 0.0001  max mem: 4478\n",
            "Epoch: [57]  [ 40/164]  eta: 0:01:07  lr: 0.000031  loss: 4.1130 (4.1081)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [ 50/164]  eta: 0:00:59  lr: 0.000031  loss: 4.0205 (4.0825)  time: 0.4074  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [ 60/164]  eta: 0:00:52  lr: 0.000031  loss: 4.0149 (4.1127)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [ 70/164]  eta: 0:00:46  lr: 0.000031  loss: 4.0937 (4.0974)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [ 80/164]  eta: 0:00:40  lr: 0.000031  loss: 3.9606 (4.0859)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [ 90/164]  eta: 0:00:35  lr: 0.000031  loss: 4.0387 (4.0893)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [100/164]  eta: 0:00:29  lr: 0.000031  loss: 4.0622 (4.0849)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [110/164]  eta: 0:00:24  lr: 0.000031  loss: 4.0455 (4.0785)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [120/164]  eta: 0:00:20  lr: 0.000031  loss: 4.0791 (4.0816)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [57]  [130/164]  eta: 0:00:15  lr: 0.000031  loss: 4.1038 (4.0903)  time: 0.4172  data: 0.0004  max mem: 4478\n",
            "Epoch: [57]  [140/164]  eta: 0:00:10  lr: 0.000031  loss: 4.1042 (4.0908)  time: 0.4125  data: 0.0004  max mem: 4478\n",
            "Epoch: [57]  [150/164]  eta: 0:00:06  lr: 0.000031  loss: 4.0543 (4.0843)  time: 0.3971  data: 0.0001  max mem: 4478\n",
            "Epoch: [57]  [160/164]  eta: 0:00:01  lr: 0.000031  loss: 3.9712 (4.0772)  time: 0.3813  data: 0.0001  max mem: 4478\n",
            "Epoch: [57]  [163/164]  eta: 0:00:00  lr: 0.000031  loss: 3.9712 (4.0777)  time: 0.3773  data: 0.0001  max mem: 4478\n",
            "Epoch: [57] Total time: 0:01:12 (0.4443 s / it)\n",
            "Averaged stats: lr: 0.000031  loss: 3.9712 (4.0777)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.8449 (3.8449)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4517  data: 3.1756  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1093 (3.1517)  acc1: 8.3333 (14.9621)  acc5: 46.8750 (51.7045)  time: 0.5981  data: 0.3859  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3469 (3.5693)  acc1: 0.0000 (8.2335)  acc5: 0.0000 (37.5717)  time: 0.4291  data: 0.2215  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4432 s / it)\n",
            "* Acc@1 8.233 Acc@5 37.572 loss 3.569\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [58]  [  0/164]  eta: 0:12:15  lr: 0.000031  loss: 4.5545 (4.5545)  time: 4.4840  data: 3.6886  max mem: 4478\n",
            "Epoch: [58]  [ 10/164]  eta: 0:02:18  lr: 0.000031  loss: 4.0606 (4.1089)  time: 0.8962  data: 0.3369  max mem: 4478\n",
            "Epoch: [58]  [ 20/164]  eta: 0:01:35  lr: 0.000031  loss: 4.0606 (4.0982)  time: 0.4726  data: 0.0009  max mem: 4478\n",
            "Epoch: [58]  [ 30/164]  eta: 0:01:18  lr: 0.000031  loss: 4.0723 (4.0927)  time: 0.4100  data: 0.0001  max mem: 4478\n",
            "Epoch: [58]  [ 40/164]  eta: 0:01:07  lr: 0.000031  loss: 4.0985 (4.1021)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [ 50/164]  eta: 0:00:58  lr: 0.000031  loss: 3.9955 (4.0755)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [ 60/164]  eta: 0:00:51  lr: 0.000031  loss: 4.0087 (4.1056)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [ 70/164]  eta: 0:00:45  lr: 0.000031  loss: 4.0786 (4.0930)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [ 80/164]  eta: 0:00:40  lr: 0.000031  loss: 3.9758 (4.0820)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [ 90/164]  eta: 0:00:34  lr: 0.000031  loss: 4.0330 (4.0856)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [100/164]  eta: 0:00:29  lr: 0.000031  loss: 4.0654 (4.0818)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [110/164]  eta: 0:00:24  lr: 0.000031  loss: 4.0390 (4.0748)  time: 0.4146  data: 0.0003  max mem: 4478\n",
            "Epoch: [58]  [120/164]  eta: 0:00:20  lr: 0.000031  loss: 4.0647 (4.0777)  time: 0.4153  data: 0.0003  max mem: 4478\n",
            "Epoch: [58]  [130/164]  eta: 0:00:15  lr: 0.000031  loss: 4.0795 (4.0852)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [140/164]  eta: 0:00:10  lr: 0.000031  loss: 4.1187 (4.0862)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [58]  [150/164]  eta: 0:00:06  lr: 0.000031  loss: 4.0451 (4.0797)  time: 0.4009  data: 0.0001  max mem: 4478\n",
            "Epoch: [58]  [160/164]  eta: 0:00:01  lr: 0.000031  loss: 3.9739 (4.0734)  time: 0.3825  data: 0.0001  max mem: 4478\n",
            "Epoch: [58]  [163/164]  eta: 0:00:00  lr: 0.000031  loss: 3.9703 (4.0737)  time: 0.3774  data: 0.0001  max mem: 4478\n",
            "Epoch: [58] Total time: 0:01:12 (0.4425 s / it)\n",
            "Averaged stats: lr: 0.000031  loss: 3.9703 (4.0737)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8507 (3.8507)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5317  data: 3.2071  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1148 (3.1529)  acc1: 2.0833 (15.7197)  acc5: 46.8750 (51.7992)  time: 0.5860  data: 0.3656  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3391 (3.5653)  acc1: 0.0000 (8.6503)  acc5: 1.0417 (37.6238)  time: 0.4171  data: 0.2049  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4313 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.624 loss 3.565\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [59]  [  0/164]  eta: 0:11:21  lr: 0.000030  loss: 4.5540 (4.5540)  time: 4.1532  data: 3.2937  max mem: 4478\n",
            "Epoch: [59]  [ 10/164]  eta: 0:02:16  lr: 0.000030  loss: 4.0666 (4.1015)  time: 0.8893  data: 0.3009  max mem: 4478\n",
            "Epoch: [59]  [ 20/164]  eta: 0:01:35  lr: 0.000030  loss: 4.0666 (4.0941)  time: 0.4866  data: 0.0009  max mem: 4478\n",
            "Epoch: [59]  [ 30/164]  eta: 0:01:18  lr: 0.000030  loss: 4.0757 (4.0901)  time: 0.4134  data: 0.0001  max mem: 4478\n",
            "Epoch: [59]  [ 40/164]  eta: 0:01:06  lr: 0.000030  loss: 4.1208 (4.0979)  time: 0.4108  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [ 50/164]  eta: 0:00:58  lr: 0.000030  loss: 3.9964 (4.0738)  time: 0.4077  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [ 60/164]  eta: 0:00:51  lr: 0.000030  loss: 3.9960 (4.1055)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [ 70/164]  eta: 0:00:45  lr: 0.000030  loss: 4.0931 (4.0930)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [ 80/164]  eta: 0:00:40  lr: 0.000030  loss: 3.9626 (4.0812)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [ 90/164]  eta: 0:00:34  lr: 0.000030  loss: 4.0142 (4.0845)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [100/164]  eta: 0:00:29  lr: 0.000030  loss: 4.0741 (4.0805)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [110/164]  eta: 0:00:24  lr: 0.000030  loss: 4.0577 (4.0743)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [120/164]  eta: 0:00:20  lr: 0.000030  loss: 4.0815 (4.0784)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [130/164]  eta: 0:00:15  lr: 0.000030  loss: 4.1389 (4.0874)  time: 0.4108  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [140/164]  eta: 0:00:10  lr: 0.000030  loss: 4.1132 (4.0875)  time: 0.4081  data: 0.0002  max mem: 4478\n",
            "Epoch: [59]  [150/164]  eta: 0:00:06  lr: 0.000030  loss: 4.0418 (4.0808)  time: 0.4005  data: 0.0001  max mem: 4478\n",
            "Epoch: [59]  [160/164]  eta: 0:00:01  lr: 0.000030  loss: 3.9511 (4.0735)  time: 0.3847  data: 0.0001  max mem: 4478\n",
            "Epoch: [59]  [163/164]  eta: 0:00:00  lr: 0.000030  loss: 3.9511 (4.0737)  time: 0.3777  data: 0.0001  max mem: 4478\n",
            "Epoch: [59] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000030  loss: 3.9511 (4.0737)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.8081 (3.8081)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 3.9828  data: 3.6666  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1278 (3.1528)  acc1: 5.2083 (15.4356)  acc5: 46.8750 (53.3144)  time: 0.6110  data: 0.3901  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3522 (3.5631)  acc1: 0.0000 (8.4940)  acc5: 30.2083 (37.0505)  time: 0.4277  data: 0.2146  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4402 s / it)\n",
            "* Acc@1 8.494 Acc@5 37.051 loss 3.563\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [60]  [  0/164]  eta: 0:11:05  lr: 0.000029  loss: 4.5589 (4.5589)  time: 4.0567  data: 3.2229  max mem: 4478\n",
            "Epoch: [60]  [ 10/164]  eta: 0:02:15  lr: 0.000029  loss: 4.0783 (4.1110)  time: 0.8798  data: 0.2948  max mem: 4478\n",
            "Epoch: [60]  [ 20/164]  eta: 0:01:34  lr: 0.000029  loss: 4.0320 (4.0984)  time: 0.4859  data: 0.0011  max mem: 4478\n",
            "Epoch: [60]  [ 30/164]  eta: 0:01:17  lr: 0.000029  loss: 4.0639 (4.0946)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 40/164]  eta: 0:01:06  lr: 0.000029  loss: 4.1333 (4.1029)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 50/164]  eta: 0:00:58  lr: 0.000029  loss: 4.0049 (4.0789)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 60/164]  eta: 0:00:51  lr: 0.000029  loss: 4.0076 (4.1076)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 70/164]  eta: 0:00:45  lr: 0.000029  loss: 4.0832 (4.0932)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 80/164]  eta: 0:00:40  lr: 0.000029  loss: 3.9591 (4.0823)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [ 90/164]  eta: 0:00:34  lr: 0.000029  loss: 4.0178 (4.0862)  time: 0.4199  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [100/164]  eta: 0:00:29  lr: 0.000029  loss: 4.0804 (4.0827)  time: 0.4173  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [110/164]  eta: 0:00:24  lr: 0.000029  loss: 4.0359 (4.0764)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [120/164]  eta: 0:00:20  lr: 0.000029  loss: 4.0489 (4.0789)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [130/164]  eta: 0:00:15  lr: 0.000029  loss: 4.0844 (4.0871)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [140/164]  eta: 0:00:10  lr: 0.000029  loss: 4.0974 (4.0873)  time: 0.4108  data: 0.0002  max mem: 4478\n",
            "Epoch: [60]  [150/164]  eta: 0:00:06  lr: 0.000029  loss: 4.0304 (4.0810)  time: 0.3988  data: 0.0001  max mem: 4478\n",
            "Epoch: [60]  [160/164]  eta: 0:00:01  lr: 0.000029  loss: 3.9549 (4.0742)  time: 0.3834  data: 0.0001  max mem: 4478\n",
            "Epoch: [60]  [163/164]  eta: 0:00:00  lr: 0.000029  loss: 3.9549 (4.0746)  time: 0.3776  data: 0.0001  max mem: 4478\n",
            "Epoch: [60] Total time: 0:01:12 (0.4425 s / it)\n",
            "Averaged stats: lr: 0.000029  loss: 3.9549 (4.0746)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.8311 (3.8311)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 3.7292  data: 3.4581  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1607 (3.1577)  acc1: 1.0417 (15.1515)  acc5: 46.8750 (52.0833)  time: 0.6020  data: 0.3918  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3702 (3.5527)  acc1: 0.0000 (8.3377)  acc5: 4.1667 (37.7801)  time: 0.4235  data: 0.2170  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4371 s / it)\n",
            "* Acc@1 8.338 Acc@5 37.780 loss 3.553\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [61]  [  0/164]  eta: 0:10:21  lr: 0.000028  loss: 4.5473 (4.5473)  time: 3.7923  data: 2.9841  max mem: 4478\n",
            "Epoch: [61]  [ 10/164]  eta: 0:02:13  lr: 0.000028  loss: 4.0471 (4.1114)  time: 0.8674  data: 0.2735  max mem: 4478\n",
            "Epoch: [61]  [ 20/164]  eta: 0:01:33  lr: 0.000028  loss: 4.0416 (4.0922)  time: 0.4918  data: 0.0013  max mem: 4478\n",
            "Epoch: [61]  [ 30/164]  eta: 0:01:16  lr: 0.000028  loss: 4.0542 (4.0927)  time: 0.4099  data: 0.0001  max mem: 4478\n",
            "Epoch: [61]  [ 40/164]  eta: 0:01:05  lr: 0.000028  loss: 4.1264 (4.1006)  time: 0.4097  data: 0.0004  max mem: 4478\n",
            "Epoch: [61]  [ 50/164]  eta: 0:00:58  lr: 0.000028  loss: 4.0252 (4.0757)  time: 0.4127  data: 0.0004  max mem: 4478\n",
            "Epoch: [61]  [ 60/164]  eta: 0:00:51  lr: 0.000028  loss: 4.0148 (4.1064)  time: 0.4161  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [ 70/164]  eta: 0:00:45  lr: 0.000028  loss: 4.0681 (4.0911)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [ 80/164]  eta: 0:00:39  lr: 0.000028  loss: 3.9662 (4.0792)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [ 90/164]  eta: 0:00:34  lr: 0.000028  loss: 4.0381 (4.0841)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [100/164]  eta: 0:00:29  lr: 0.000028  loss: 4.0603 (4.0804)  time: 0.4104  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [110/164]  eta: 0:00:24  lr: 0.000028  loss: 4.0286 (4.0744)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [120/164]  eta: 0:00:19  lr: 0.000028  loss: 4.0677 (4.0781)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [130/164]  eta: 0:00:15  lr: 0.000028  loss: 4.1209 (4.0869)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [140/164]  eta: 0:00:10  lr: 0.000028  loss: 4.1046 (4.0868)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [61]  [150/164]  eta: 0:00:06  lr: 0.000028  loss: 4.0533 (4.0796)  time: 0.4008  data: 0.0001  max mem: 4478\n",
            "Epoch: [61]  [160/164]  eta: 0:00:01  lr: 0.000028  loss: 3.9606 (4.0721)  time: 0.3830  data: 0.0001  max mem: 4478\n",
            "Epoch: [61]  [163/164]  eta: 0:00:00  lr: 0.000028  loss: 3.9606 (4.0723)  time: 0.3784  data: 0.0001  max mem: 4478\n",
            "Epoch: [61] Total time: 0:01:12 (0.4409 s / it)\n",
            "Averaged stats: lr: 0.000028  loss: 3.9606 (4.0723)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.8524 (3.8524)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.8417  data: 3.5290  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1153 (3.1506)  acc1: 2.0833 (15.5303)  acc5: 46.8750 (51.9886)  time: 0.6168  data: 0.3986  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3613 (3.5524)  acc1: 0.0000 (8.5461)  acc5: 5.2083 (37.7280)  time: 0.4307  data: 0.2193  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4440 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.728 loss 3.552\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [62]  [  0/164]  eta: 0:10:34  lr: 0.000027  loss: 4.5246 (4.5246)  time: 3.8707  data: 3.0738  max mem: 4478\n",
            "Epoch: [62]  [ 10/164]  eta: 0:02:15  lr: 0.000027  loss: 4.0912 (4.1190)  time: 0.8822  data: 0.2823  max mem: 4478\n",
            "Epoch: [62]  [ 20/164]  eta: 0:01:34  lr: 0.000027  loss: 4.0431 (4.1015)  time: 0.4976  data: 0.0017  max mem: 4478\n",
            "Epoch: [62]  [ 30/164]  eta: 0:01:17  lr: 0.000027  loss: 4.0509 (4.0975)  time: 0.4067  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 40/164]  eta: 0:01:06  lr: 0.000027  loss: 4.0930 (4.1054)  time: 0.4032  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 50/164]  eta: 0:00:58  lr: 0.000027  loss: 4.0219 (4.0815)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 60/164]  eta: 0:00:51  lr: 0.000027  loss: 4.0155 (4.1098)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 70/164]  eta: 0:00:45  lr: 0.000027  loss: 4.0689 (4.0951)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 80/164]  eta: 0:00:39  lr: 0.000027  loss: 3.9451 (4.0840)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [ 90/164]  eta: 0:00:34  lr: 0.000027  loss: 4.0264 (4.0884)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [100/164]  eta: 0:00:29  lr: 0.000027  loss: 4.0926 (4.0852)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [110/164]  eta: 0:00:24  lr: 0.000027  loss: 4.0424 (4.0778)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [120/164]  eta: 0:00:19  lr: 0.000027  loss: 4.0457 (4.0813)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [130/164]  eta: 0:00:15  lr: 0.000027  loss: 4.1342 (4.0892)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [140/164]  eta: 0:00:10  lr: 0.000027  loss: 4.1003 (4.0891)  time: 0.4131  data: 0.0002  max mem: 4478\n",
            "Epoch: [62]  [150/164]  eta: 0:00:06  lr: 0.000027  loss: 4.0234 (4.0825)  time: 0.4012  data: 0.0001  max mem: 4478\n",
            "Epoch: [62]  [160/164]  eta: 0:00:01  lr: 0.000027  loss: 3.9518 (4.0758)  time: 0.3824  data: 0.0001  max mem: 4478\n",
            "Epoch: [62]  [163/164]  eta: 0:00:00  lr: 0.000027  loss: 3.9518 (4.0762)  time: 0.3776  data: 0.0001  max mem: 4478\n",
            "Epoch: [62] Total time: 0:01:12 (0.4402 s / it)\n",
            "Averaged stats: lr: 0.000027  loss: 3.9518 (4.0762)\n",
            "Test:  [ 0/20]  eta: 0:01:37  loss: 3.8407 (3.8407)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.8850  data: 4.4715  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1180 (3.1523)  acc1: 6.2500 (15.5303)  acc5: 46.8750 (51.7045)  time: 0.6310  data: 0.4067  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3404 (3.5525)  acc1: 0.0000 (8.5461)  acc5: 0.0000 (37.5717)  time: 0.4379  data: 0.2237  max mem: 4478\n",
            "Test: Total time: 0:00:09 (0.4511 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.572 loss 3.553\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [63]  [  0/164]  eta: 0:13:10  lr: 0.000027  loss: 4.5348 (4.5348)  time: 4.8188  data: 4.1481  max mem: 4478\n",
            "Epoch: [63]  [ 10/164]  eta: 0:02:17  lr: 0.000027  loss: 4.0758 (4.1079)  time: 0.8921  data: 0.3777  max mem: 4478\n",
            "Epoch: [63]  [ 20/164]  eta: 0:01:35  lr: 0.000027  loss: 4.0559 (4.0965)  time: 0.4530  data: 0.0004  max mem: 4478\n",
            "Epoch: [63]  [ 30/164]  eta: 0:01:17  lr: 0.000027  loss: 4.0563 (4.0916)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [ 40/164]  eta: 0:01:06  lr: 0.000027  loss: 4.0914 (4.0981)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [ 50/164]  eta: 0:00:58  lr: 0.000027  loss: 3.9929 (4.0743)  time: 0.4094  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [ 60/164]  eta: 0:00:51  lr: 0.000027  loss: 3.9859 (4.1024)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [ 70/164]  eta: 0:00:45  lr: 0.000027  loss: 4.0590 (4.0880)  time: 0.4115  data: 0.0001  max mem: 4478\n",
            "Epoch: [63]  [ 80/164]  eta: 0:00:40  lr: 0.000027  loss: 3.9513 (4.0783)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [ 90/164]  eta: 0:00:34  lr: 0.000027  loss: 4.0515 (4.0833)  time: 0.4190  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [100/164]  eta: 0:00:29  lr: 0.000027  loss: 4.0611 (4.0789)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [110/164]  eta: 0:00:24  lr: 0.000027  loss: 4.0467 (4.0723)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [120/164]  eta: 0:00:20  lr: 0.000027  loss: 4.0549 (4.0757)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [130/164]  eta: 0:00:15  lr: 0.000027  loss: 4.1262 (4.0843)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [140/164]  eta: 0:00:10  lr: 0.000027  loss: 4.0907 (4.0849)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [63]  [150/164]  eta: 0:00:06  lr: 0.000027  loss: 4.0540 (4.0780)  time: 0.4047  data: 0.0004  max mem: 4478\n",
            "Epoch: [63]  [160/164]  eta: 0:00:01  lr: 0.000027  loss: 3.9556 (4.0711)  time: 0.3845  data: 0.0004  max mem: 4478\n",
            "Epoch: [63]  [163/164]  eta: 0:00:00  lr: 0.000027  loss: 3.9556 (4.0713)  time: 0.3774  data: 0.0001  max mem: 4478\n",
            "Epoch: [63] Total time: 0:01:12 (0.4430 s / it)\n",
            "Averaged stats: lr: 0.000027  loss: 3.9556 (4.0713)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.8605 (3.8605)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6142  data: 3.3239  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1115 (3.1516)  acc1: 1.0417 (15.1515)  acc5: 47.9167 (51.8939)  time: 0.6032  data: 0.3862  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3530 (3.5504)  acc1: 0.0000 (8.3377)  acc5: 2.0833 (37.6759)  time: 0.4237  data: 0.2134  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4368 s / it)\n",
            "* Acc@1 8.338 Acc@5 37.676 loss 3.550\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [64]  [  0/164]  eta: 0:11:55  lr: 0.000026  loss: 4.5617 (4.5617)  time: 4.3622  data: 3.6504  max mem: 4478\n",
            "Epoch: [64]  [ 10/164]  eta: 0:02:20  lr: 0.000026  loss: 4.0935 (4.1150)  time: 0.9100  data: 0.3348  max mem: 4478\n",
            "Epoch: [64]  [ 20/164]  eta: 0:01:36  lr: 0.000026  loss: 4.0320 (4.0976)  time: 0.4873  data: 0.0017  max mem: 4478\n",
            "Epoch: [64]  [ 30/164]  eta: 0:01:18  lr: 0.000026  loss: 4.0385 (4.0920)  time: 0.4130  data: 0.0001  max mem: 4478\n",
            "Epoch: [64]  [ 40/164]  eta: 0:01:07  lr: 0.000026  loss: 4.1060 (4.0991)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [ 50/164]  eta: 0:00:59  lr: 0.000026  loss: 4.0353 (4.0742)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [ 60/164]  eta: 0:00:52  lr: 0.000026  loss: 4.0228 (4.1046)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [ 70/164]  eta: 0:00:46  lr: 0.000026  loss: 4.0615 (4.0893)  time: 0.4190  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [ 80/164]  eta: 0:00:40  lr: 0.000026  loss: 3.9374 (4.0777)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [ 90/164]  eta: 0:00:35  lr: 0.000026  loss: 4.0385 (4.0828)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [100/164]  eta: 0:00:29  lr: 0.000026  loss: 4.0691 (4.0794)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [110/164]  eta: 0:00:25  lr: 0.000026  loss: 4.0381 (4.0728)  time: 0.4186  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [120/164]  eta: 0:00:20  lr: 0.000026  loss: 4.0631 (4.0757)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [130/164]  eta: 0:00:15  lr: 0.000026  loss: 4.1153 (4.0830)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [140/164]  eta: 0:00:10  lr: 0.000026  loss: 4.1028 (4.0840)  time: 0.4086  data: 0.0002  max mem: 4478\n",
            "Epoch: [64]  [150/164]  eta: 0:00:06  lr: 0.000026  loss: 4.0551 (4.0776)  time: 0.3975  data: 0.0001  max mem: 4478\n",
            "Epoch: [64]  [160/164]  eta: 0:00:01  lr: 0.000026  loss: 3.9917 (4.0707)  time: 0.3824  data: 0.0001  max mem: 4478\n",
            "Epoch: [64]  [163/164]  eta: 0:00:00  lr: 0.000026  loss: 3.9657 (4.0710)  time: 0.3781  data: 0.0001  max mem: 4478\n",
            "Epoch: [64] Total time: 0:01:12 (0.4443 s / it)\n",
            "Averaged stats: lr: 0.000026  loss: 3.9657 (4.0710)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.8623 (3.8623)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6698  data: 3.4054  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0882 (3.1518)  acc1: 1.0417 (15.0568)  acc5: 46.8750 (51.7045)  time: 0.6060  data: 0.3829  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3536 (3.5560)  acc1: 0.0000 (8.2856)  acc5: 0.0000 (37.5717)  time: 0.4249  data: 0.2106  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4390 s / it)\n",
            "* Acc@1 8.286 Acc@5 37.572 loss 3.556\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [65]  [  0/164]  eta: 0:09:54  lr: 0.000025  loss: 4.5594 (4.5594)  time: 3.6267  data: 2.8236  max mem: 4478\n",
            "Epoch: [65]  [ 10/164]  eta: 0:02:12  lr: 0.000025  loss: 4.0604 (4.1156)  time: 0.8585  data: 0.2601  max mem: 4478\n",
            "Epoch: [65]  [ 20/164]  eta: 0:01:32  lr: 0.000025  loss: 4.0465 (4.0974)  time: 0.4964  data: 0.0020  max mem: 4478\n",
            "Epoch: [65]  [ 30/164]  eta: 0:01:16  lr: 0.000025  loss: 4.0712 (4.0936)  time: 0.4084  data: 0.0001  max mem: 4478\n",
            "Epoch: [65]  [ 40/164]  eta: 0:01:05  lr: 0.000025  loss: 4.1377 (4.1024)  time: 0.4069  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [ 50/164]  eta: 0:00:57  lr: 0.000025  loss: 4.0046 (4.0787)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [ 60/164]  eta: 0:00:51  lr: 0.000025  loss: 4.0267 (4.1077)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [ 70/164]  eta: 0:00:45  lr: 0.000025  loss: 4.0598 (4.0923)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [ 80/164]  eta: 0:00:39  lr: 0.000025  loss: 3.9529 (4.0821)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [ 90/164]  eta: 0:00:34  lr: 0.000025  loss: 4.0330 (4.0857)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [100/164]  eta: 0:00:29  lr: 0.000025  loss: 4.0816 (4.0816)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [110/164]  eta: 0:00:24  lr: 0.000025  loss: 4.0290 (4.0745)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [120/164]  eta: 0:00:19  lr: 0.000025  loss: 4.0566 (4.0778)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [130/164]  eta: 0:00:15  lr: 0.000025  loss: 4.1316 (4.0856)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [140/164]  eta: 0:00:10  lr: 0.000025  loss: 4.0943 (4.0857)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [65]  [150/164]  eta: 0:00:06  lr: 0.000025  loss: 4.0532 (4.0794)  time: 0.4007  data: 0.0001  max mem: 4478\n",
            "Epoch: [65]  [160/164]  eta: 0:00:01  lr: 0.000025  loss: 3.9629 (4.0731)  time: 0.3809  data: 0.0001  max mem: 4478\n",
            "Epoch: [65]  [163/164]  eta: 0:00:00  lr: 0.000025  loss: 3.9589 (4.0733)  time: 0.3780  data: 0.0001  max mem: 4478\n",
            "Epoch: [65] Total time: 0:01:12 (0.4398 s / it)\n",
            "Averaged stats: lr: 0.000025  loss: 3.9589 (4.0733)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.8819 (3.8819)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6861  data: 3.3767  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1253 (3.1463)  acc1: 1.0417 (14.9621)  acc5: 46.8750 (51.7045)  time: 0.6148  data: 0.4001  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3335 (3.5555)  acc1: 0.0000 (8.2335)  acc5: 0.0000 (37.5717)  time: 0.4298  data: 0.2201  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4429 s / it)\n",
            "* Acc@1 8.233 Acc@5 37.572 loss 3.555\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [66]  [  0/164]  eta: 0:10:58  lr: 0.000024  loss: 4.5363 (4.5363)  time: 4.0138  data: 3.1836  max mem: 4478\n",
            "Epoch: [66]  [ 10/164]  eta: 0:02:14  lr: 0.000024  loss: 4.0706 (4.1094)  time: 0.8757  data: 0.2907  max mem: 4478\n",
            "Epoch: [66]  [ 20/164]  eta: 0:01:34  lr: 0.000024  loss: 4.0458 (4.0960)  time: 0.4848  data: 0.0008  max mem: 4478\n",
            "Epoch: [66]  [ 30/164]  eta: 0:01:16  lr: 0.000024  loss: 4.0500 (4.0926)  time: 0.4071  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 40/164]  eta: 0:01:06  lr: 0.000024  loss: 4.1371 (4.1014)  time: 0.4101  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 50/164]  eta: 0:00:58  lr: 0.000024  loss: 3.9960 (4.0754)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 60/164]  eta: 0:00:51  lr: 0.000024  loss: 4.0220 (4.1051)  time: 0.4183  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 70/164]  eta: 0:00:45  lr: 0.000024  loss: 4.0454 (4.0899)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 80/164]  eta: 0:00:40  lr: 0.000024  loss: 3.9564 (4.0782)  time: 0.4162  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [ 90/164]  eta: 0:00:34  lr: 0.000024  loss: 4.0310 (4.0809)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [100/164]  eta: 0:00:29  lr: 0.000024  loss: 4.0641 (4.0766)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [110/164]  eta: 0:00:24  lr: 0.000024  loss: 4.0195 (4.0701)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [120/164]  eta: 0:00:20  lr: 0.000024  loss: 4.0497 (4.0734)  time: 0.4126  data: 0.0003  max mem: 4478\n",
            "Epoch: [66]  [130/164]  eta: 0:00:15  lr: 0.000024  loss: 4.1186 (4.0814)  time: 0.4130  data: 0.0003  max mem: 4478\n",
            "Epoch: [66]  [140/164]  eta: 0:00:10  lr: 0.000024  loss: 4.1186 (4.0823)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [66]  [150/164]  eta: 0:00:06  lr: 0.000024  loss: 4.0523 (4.0760)  time: 0.4013  data: 0.0001  max mem: 4478\n",
            "Epoch: [66]  [160/164]  eta: 0:00:01  lr: 0.000024  loss: 3.9746 (4.0696)  time: 0.3822  data: 0.0001  max mem: 4478\n",
            "Epoch: [66]  [163/164]  eta: 0:00:00  lr: 0.000024  loss: 3.9746 (4.0700)  time: 0.3777  data: 0.0001  max mem: 4478\n",
            "Epoch: [66] Total time: 0:01:12 (0.4420 s / it)\n",
            "Averaged stats: lr: 0.000024  loss: 3.9746 (4.0700)\n",
            "Test:  [ 0/20]  eta: 0:01:06  loss: 3.8668 (3.8668)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.3226  data: 3.0169  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1171 (3.1476)  acc1: 11.4583 (15.6250)  acc5: 46.8750 (51.7045)  time: 0.5793  data: 0.3639  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3446 (3.5555)  acc1: 0.0000 (8.5982)  acc5: 0.0000 (37.5717)  time: 0.4177  data: 0.2083  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4308 s / it)\n",
            "* Acc@1 8.598 Acc@5 37.572 loss 3.556\n",
            "Accuracy of the network on the 1919 test images: 8.6%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [67]  [  0/164]  eta: 0:11:19  lr: 0.000024  loss: 4.5494 (4.5494)  time: 4.1417  data: 3.3288  max mem: 4478\n",
            "Epoch: [67]  [ 10/164]  eta: 0:02:15  lr: 0.000024  loss: 4.0459 (4.1090)  time: 0.8774  data: 0.3047  max mem: 4478\n",
            "Epoch: [67]  [ 20/164]  eta: 0:01:34  lr: 0.000024  loss: 4.0437 (4.0961)  time: 0.4790  data: 0.0012  max mem: 4478\n",
            "Epoch: [67]  [ 30/164]  eta: 0:01:17  lr: 0.000024  loss: 4.0575 (4.0929)  time: 0.4086  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 40/164]  eta: 0:01:06  lr: 0.000024  loss: 4.1188 (4.0980)  time: 0.4091  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 50/164]  eta: 0:00:58  lr: 0.000024  loss: 3.9866 (4.0727)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 60/164]  eta: 0:00:51  lr: 0.000024  loss: 4.0247 (4.1015)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 70/164]  eta: 0:00:45  lr: 0.000024  loss: 4.0619 (4.0877)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 80/164]  eta: 0:00:39  lr: 0.000024  loss: 3.9583 (4.0771)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [ 90/164]  eta: 0:00:34  lr: 0.000024  loss: 4.0256 (4.0802)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [100/164]  eta: 0:00:29  lr: 0.000024  loss: 4.1110 (4.0770)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [110/164]  eta: 0:00:24  lr: 0.000024  loss: 4.0475 (4.0710)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [120/164]  eta: 0:00:20  lr: 0.000024  loss: 4.0590 (4.0738)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [130/164]  eta: 0:00:15  lr: 0.000024  loss: 4.1153 (4.0825)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [140/164]  eta: 0:00:10  lr: 0.000024  loss: 4.0967 (4.0828)  time: 0.4094  data: 0.0002  max mem: 4478\n",
            "Epoch: [67]  [150/164]  eta: 0:00:06  lr: 0.000024  loss: 4.0424 (4.0765)  time: 0.3978  data: 0.0001  max mem: 4478\n",
            "Epoch: [67]  [160/164]  eta: 0:00:01  lr: 0.000024  loss: 3.9731 (4.0698)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [67]  [163/164]  eta: 0:00:00  lr: 0.000024  loss: 3.9731 (4.0703)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [67] Total time: 0:01:12 (0.4406 s / it)\n",
            "Averaged stats: lr: 0.000024  loss: 3.9731 (4.0703)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.8718 (3.8718)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6049  data: 3.2841  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0929 (3.1456)  acc1: 1.0417 (15.4356)  acc5: 46.8750 (51.7045)  time: 0.6041  data: 0.3861  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3244 (3.5610)  acc1: 0.0000 (8.4940)  acc5: 0.0000 (37.5717)  time: 0.4257  data: 0.2151  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4399 s / it)\n",
            "* Acc@1 8.494 Acc@5 37.572 loss 3.561\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [68]  [  0/164]  eta: 0:11:22  lr: 0.000023  loss: 4.5781 (4.5781)  time: 4.1615  data: 3.3818  max mem: 4478\n",
            "Epoch: [68]  [ 10/164]  eta: 0:02:16  lr: 0.000023  loss: 4.0687 (4.1175)  time: 0.8883  data: 0.3106  max mem: 4478\n",
            "Epoch: [68]  [ 20/164]  eta: 0:01:34  lr: 0.000023  loss: 4.0323 (4.0995)  time: 0.4837  data: 0.0018  max mem: 4478\n",
            "Epoch: [68]  [ 30/164]  eta: 0:01:17  lr: 0.000023  loss: 4.0634 (4.0966)  time: 0.4059  data: 0.0001  max mem: 4478\n",
            "Epoch: [68]  [ 40/164]  eta: 0:01:06  lr: 0.000023  loss: 4.1033 (4.0999)  time: 0.4067  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [ 50/164]  eta: 0:00:58  lr: 0.000023  loss: 3.9916 (4.0751)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [ 60/164]  eta: 0:00:51  lr: 0.000023  loss: 4.0242 (4.1038)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [ 70/164]  eta: 0:00:45  lr: 0.000023  loss: 4.0627 (4.0879)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [ 80/164]  eta: 0:00:40  lr: 0.000023  loss: 3.9745 (4.0782)  time: 0.4200  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [ 90/164]  eta: 0:00:34  lr: 0.000023  loss: 4.0464 (4.0821)  time: 0.4173  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [100/164]  eta: 0:00:29  lr: 0.000023  loss: 4.0934 (4.0777)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [110/164]  eta: 0:00:24  lr: 0.000023  loss: 4.0273 (4.0707)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [120/164]  eta: 0:00:20  lr: 0.000023  loss: 4.0662 (4.0738)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [130/164]  eta: 0:00:15  lr: 0.000023  loss: 4.1072 (4.0810)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [68]  [140/164]  eta: 0:00:10  lr: 0.000023  loss: 4.1072 (4.0820)  time: 0.4124  data: 0.0004  max mem: 4478\n",
            "Epoch: [68]  [150/164]  eta: 0:00:06  lr: 0.000023  loss: 4.0531 (4.0761)  time: 0.4008  data: 0.0004  max mem: 4478\n",
            "Epoch: [68]  [160/164]  eta: 0:00:01  lr: 0.000023  loss: 3.9679 (4.0697)  time: 0.3833  data: 0.0001  max mem: 4478\n",
            "Epoch: [68]  [163/164]  eta: 0:00:00  lr: 0.000023  loss: 3.9594 (4.0698)  time: 0.3782  data: 0.0001  max mem: 4478\n",
            "Epoch: [68] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000023  loss: 3.9594 (4.0698)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.8525 (3.8525)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4483  data: 3.1323  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1121 (3.1550)  acc1: 9.3750 (16.1932)  acc5: 46.8750 (51.7045)  time: 0.5907  data: 0.3767  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3497 (3.5479)  acc1: 0.0000 (8.9109)  acc5: 0.0000 (37.5717)  time: 0.4159  data: 0.2072  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4286 s / it)\n",
            "* Acc@1 8.911 Acc@5 37.572 loss 3.548\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [69]  [  0/164]  eta: 0:10:38  lr: 0.000022  loss: 4.5486 (4.5486)  time: 3.8936  data: 3.1038  max mem: 4478\n",
            "Epoch: [69]  [ 10/164]  eta: 0:02:15  lr: 0.000022  loss: 4.0825 (4.1089)  time: 0.8771  data: 0.2864  max mem: 4478\n",
            "Epoch: [69]  [ 20/164]  eta: 0:01:34  lr: 0.000022  loss: 4.0753 (4.0990)  time: 0.4941  data: 0.0024  max mem: 4478\n",
            "Epoch: [69]  [ 30/164]  eta: 0:01:17  lr: 0.000022  loss: 4.0753 (4.0952)  time: 0.4130  data: 0.0001  max mem: 4478\n",
            "Epoch: [69]  [ 40/164]  eta: 0:01:06  lr: 0.000022  loss: 4.1216 (4.1023)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [ 50/164]  eta: 0:00:58  lr: 0.000022  loss: 4.0068 (4.0776)  time: 0.4065  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [ 60/164]  eta: 0:00:51  lr: 0.000022  loss: 4.0178 (4.1050)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [ 70/164]  eta: 0:00:45  lr: 0.000022  loss: 4.0383 (4.0894)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [ 80/164]  eta: 0:00:39  lr: 0.000022  loss: 3.9667 (4.0790)  time: 0.4152  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [ 90/164]  eta: 0:00:34  lr: 0.000022  loss: 4.0521 (4.0817)  time: 0.4153  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [100/164]  eta: 0:00:29  lr: 0.000022  loss: 4.0570 (4.0780)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [110/164]  eta: 0:00:24  lr: 0.000022  loss: 4.0379 (4.0716)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [120/164]  eta: 0:00:19  lr: 0.000022  loss: 4.0506 (4.0746)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [130/164]  eta: 0:00:15  lr: 0.000022  loss: 4.0912 (4.0825)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [140/164]  eta: 0:00:10  lr: 0.000022  loss: 4.1076 (4.0835)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [69]  [150/164]  eta: 0:00:06  lr: 0.000022  loss: 4.0449 (4.0767)  time: 0.4030  data: 0.0001  max mem: 4478\n",
            "Epoch: [69]  [160/164]  eta: 0:00:01  lr: 0.000022  loss: 3.9538 (4.0702)  time: 0.3836  data: 0.0001  max mem: 4478\n",
            "Epoch: [69]  [163/164]  eta: 0:00:00  lr: 0.000022  loss: 3.9538 (4.0704)  time: 0.3784  data: 0.0001  max mem: 4478\n",
            "Epoch: [69] Total time: 0:01:12 (0.4411 s / it)\n",
            "Averaged stats: lr: 0.000022  loss: 3.9538 (4.0704)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8533 (3.8533)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5617  data: 3.2803  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1115 (3.1493)  acc1: 1.0417 (14.9621)  acc5: 46.8750 (51.7045)  time: 0.5954  data: 0.3722  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3352 (3.5407)  acc1: 0.0000 (8.2335)  acc5: 0.0000 (37.5717)  time: 0.4185  data: 0.2048  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4325 s / it)\n",
            "* Acc@1 8.233 Acc@5 37.572 loss 3.541\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [70]  [  0/164]  eta: 0:11:08  lr: 0.000021  loss: 4.5768 (4.5768)  time: 4.0757  data: 3.2749  max mem: 4478\n",
            "Epoch: [70]  [ 10/164]  eta: 0:02:13  lr: 0.000021  loss: 4.0756 (4.1206)  time: 0.8660  data: 0.3002  max mem: 4478\n",
            "Epoch: [70]  [ 20/164]  eta: 0:01:33  lr: 0.000021  loss: 4.0735 (4.1079)  time: 0.4771  data: 0.0015  max mem: 4478\n",
            "Epoch: [70]  [ 30/164]  eta: 0:01:16  lr: 0.000021  loss: 4.0735 (4.0987)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 40/164]  eta: 0:01:06  lr: 0.000021  loss: 4.1056 (4.1040)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 50/164]  eta: 0:00:58  lr: 0.000021  loss: 3.9966 (4.0777)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 60/164]  eta: 0:00:51  lr: 0.000021  loss: 3.9955 (4.1060)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 70/164]  eta: 0:00:45  lr: 0.000021  loss: 4.0480 (4.0903)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 80/164]  eta: 0:00:39  lr: 0.000021  loss: 3.9544 (4.0787)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [ 90/164]  eta: 0:00:34  lr: 0.000021  loss: 4.0035 (4.0816)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [100/164]  eta: 0:00:29  lr: 0.000021  loss: 4.0530 (4.0768)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [110/164]  eta: 0:00:24  lr: 0.000021  loss: 4.0288 (4.0707)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [120/164]  eta: 0:00:19  lr: 0.000021  loss: 4.0529 (4.0736)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [130/164]  eta: 0:00:15  lr: 0.000021  loss: 4.1081 (4.0816)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [140/164]  eta: 0:00:10  lr: 0.000021  loss: 4.1068 (4.0817)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [70]  [150/164]  eta: 0:00:06  lr: 0.000021  loss: 4.0396 (4.0752)  time: 0.4019  data: 0.0001  max mem: 4478\n",
            "Epoch: [70]  [160/164]  eta: 0:00:01  lr: 0.000021  loss: 3.9569 (4.0689)  time: 0.3815  data: 0.0001  max mem: 4478\n",
            "Epoch: [70]  [163/164]  eta: 0:00:00  lr: 0.000021  loss: 3.9569 (4.0689)  time: 0.3769  data: 0.0001  max mem: 4478\n",
            "Epoch: [70] Total time: 0:01:12 (0.4408 s / it)\n",
            "Averaged stats: lr: 0.000021  loss: 3.9569 (4.0689)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8376 (3.8376)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5070  data: 3.2374  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1040 (3.1402)  acc1: 0.0000 (15.4356)  acc5: 46.8750 (51.7045)  time: 0.5864  data: 0.3755  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3175 (3.5467)  acc1: 0.0000 (8.4940)  acc5: 0.0000 (37.5717)  time: 0.4163  data: 0.2094  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4299 s / it)\n",
            "* Acc@1 8.494 Acc@5 37.572 loss 3.547\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [71]  [  0/164]  eta: 0:11:02  lr: 0.000021  loss: 4.5441 (4.5441)  time: 4.0419  data: 3.1891  max mem: 4478\n",
            "Epoch: [71]  [ 10/164]  eta: 0:02:14  lr: 0.000021  loss: 4.0709 (4.0976)  time: 0.8719  data: 0.2928  max mem: 4478\n",
            "Epoch: [71]  [ 20/164]  eta: 0:01:34  lr: 0.000021  loss: 4.0627 (4.0938)  time: 0.4838  data: 0.0017  max mem: 4478\n",
            "Epoch: [71]  [ 30/164]  eta: 0:01:17  lr: 0.000021  loss: 4.0690 (4.0902)  time: 0.4118  data: 0.0001  max mem: 4478\n",
            "Epoch: [71]  [ 40/164]  eta: 0:01:06  lr: 0.000021  loss: 4.0975 (4.0931)  time: 0.4117  data: 0.0001  max mem: 4478\n",
            "Epoch: [71]  [ 50/164]  eta: 0:00:58  lr: 0.000021  loss: 3.9956 (4.0700)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [ 60/164]  eta: 0:00:51  lr: 0.000021  loss: 3.9856 (4.0984)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [ 70/164]  eta: 0:00:45  lr: 0.000021  loss: 4.0378 (4.0850)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [ 80/164]  eta: 0:00:39  lr: 0.000021  loss: 3.9501 (4.0723)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [ 90/164]  eta: 0:00:34  lr: 0.000021  loss: 4.0185 (4.0765)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [100/164]  eta: 0:00:29  lr: 0.000021  loss: 4.0749 (4.0742)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [110/164]  eta: 0:00:24  lr: 0.000021  loss: 4.0335 (4.0678)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [120/164]  eta: 0:00:20  lr: 0.000021  loss: 4.0581 (4.0714)  time: 0.4271  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [130/164]  eta: 0:00:15  lr: 0.000021  loss: 4.1079 (4.0791)  time: 0.4276  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [140/164]  eta: 0:00:10  lr: 0.000021  loss: 4.1096 (4.0801)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [150/164]  eta: 0:00:06  lr: 0.000021  loss: 4.0573 (4.0735)  time: 0.4011  data: 0.0003  max mem: 4478\n",
            "Epoch: [71]  [160/164]  eta: 0:00:01  lr: 0.000021  loss: 3.9704 (4.0666)  time: 0.3838  data: 0.0002  max mem: 4478\n",
            "Epoch: [71]  [163/164]  eta: 0:00:00  lr: 0.000021  loss: 3.9538 (4.0668)  time: 0.3780  data: 0.0001  max mem: 4478\n",
            "Epoch: [71] Total time: 0:01:12 (0.4430 s / it)\n",
            "Averaged stats: lr: 0.000021  loss: 3.9538 (4.0668)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8416 (3.8416)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5502  data: 3.2780  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0898 (3.1354)  acc1: 0.0000 (15.2462)  acc5: 46.8750 (51.7045)  time: 0.5891  data: 0.3773  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3213 (3.5443)  acc1: 0.0000 (8.3898)  acc5: 0.0000 (37.5717)  time: 0.4163  data: 0.2089  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4305 s / it)\n",
            "* Acc@1 8.390 Acc@5 37.572 loss 3.544\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [72]  [  0/164]  eta: 0:11:30  lr: 0.000020  loss: 4.5202 (4.5202)  time: 4.2125  data: 3.4124  max mem: 4478\n",
            "Epoch: [72]  [ 10/164]  eta: 0:02:13  lr: 0.000020  loss: 4.0618 (4.1071)  time: 0.8685  data: 0.3126  max mem: 4478\n",
            "Epoch: [72]  [ 20/164]  eta: 0:01:33  lr: 0.000020  loss: 4.0218 (4.0905)  time: 0.4699  data: 0.0014  max mem: 4478\n",
            "Epoch: [72]  [ 30/164]  eta: 0:01:16  lr: 0.000020  loss: 4.0218 (4.0826)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 40/164]  eta: 0:01:06  lr: 0.000020  loss: 4.0905 (4.0887)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 50/164]  eta: 0:00:58  lr: 0.000020  loss: 3.9932 (4.0665)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 60/164]  eta: 0:00:51  lr: 0.000020  loss: 3.9776 (4.0933)  time: 0.4093  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 70/164]  eta: 0:00:45  lr: 0.000020  loss: 4.0185 (4.0796)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 80/164]  eta: 0:00:39  lr: 0.000020  loss: 3.9620 (4.0682)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [ 90/164]  eta: 0:00:34  lr: 0.000020  loss: 4.0235 (4.0731)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [100/164]  eta: 0:00:29  lr: 0.000020  loss: 4.0768 (4.0707)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [110/164]  eta: 0:00:24  lr: 0.000020  loss: 4.0541 (4.0646)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [120/164]  eta: 0:00:19  lr: 0.000020  loss: 4.0633 (4.0684)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [130/164]  eta: 0:00:15  lr: 0.000020  loss: 4.1000 (4.0759)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [140/164]  eta: 0:00:10  lr: 0.000020  loss: 4.0793 (4.0759)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [72]  [150/164]  eta: 0:00:06  lr: 0.000020  loss: 4.0160 (4.0696)  time: 0.4001  data: 0.0001  max mem: 4478\n",
            "Epoch: [72]  [160/164]  eta: 0:00:01  lr: 0.000020  loss: 3.9589 (4.0638)  time: 0.3823  data: 0.0001  max mem: 4478\n",
            "Epoch: [72]  [163/164]  eta: 0:00:00  lr: 0.000020  loss: 3.9589 (4.0639)  time: 0.3777  data: 0.0001  max mem: 4478\n",
            "Epoch: [72] Total time: 0:01:12 (0.4406 s / it)\n",
            "Averaged stats: lr: 0.000020  loss: 3.9589 (4.0639)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.8581 (3.8581)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7012  data: 3.4430  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0919 (3.1457)  acc1: 4.1667 (15.5303)  acc5: 46.8750 (51.7045)  time: 0.6012  data: 0.3913  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3176 (3.5339)  acc1: 0.0000 (8.5461)  acc5: 1.0417 (37.6238)  time: 0.4226  data: 0.2152  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4354 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.624 loss 3.534\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [73]  [  0/164]  eta: 0:11:33  lr: 0.000020  loss: 4.5111 (4.5111)  time: 4.2268  data: 3.5206  max mem: 4478\n",
            "Epoch: [73]  [ 10/164]  eta: 0:02:15  lr: 0.000020  loss: 4.0960 (4.1121)  time: 0.8784  data: 0.3211  max mem: 4478\n",
            "Epoch: [73]  [ 20/164]  eta: 0:01:34  lr: 0.000020  loss: 4.0353 (4.0944)  time: 0.4768  data: 0.0006  max mem: 4478\n",
            "Epoch: [73]  [ 30/164]  eta: 0:01:17  lr: 0.000020  loss: 4.0496 (4.0899)  time: 0.4142  data: 0.0001  max mem: 4478\n",
            "Epoch: [73]  [ 40/164]  eta: 0:01:06  lr: 0.000020  loss: 4.0971 (4.0954)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [ 50/164]  eta: 0:00:58  lr: 0.000020  loss: 4.0062 (4.0693)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [ 60/164]  eta: 0:00:51  lr: 0.000020  loss: 4.0251 (4.0999)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [ 70/164]  eta: 0:00:45  lr: 0.000020  loss: 4.0588 (4.0861)  time: 0.4120  data: 0.0001  max mem: 4478\n",
            "Epoch: [73]  [ 80/164]  eta: 0:00:39  lr: 0.000020  loss: 3.9423 (4.0752)  time: 0.4110  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [ 90/164]  eta: 0:00:34  lr: 0.000020  loss: 4.0285 (4.0799)  time: 0.4118  data: 0.0001  max mem: 4478\n",
            "Epoch: [73]  [100/164]  eta: 0:00:29  lr: 0.000020  loss: 4.0692 (4.0770)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [110/164]  eta: 0:00:24  lr: 0.000020  loss: 4.0442 (4.0695)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [120/164]  eta: 0:00:20  lr: 0.000020  loss: 4.0309 (4.0722)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [73]  [130/164]  eta: 0:00:15  lr: 0.000020  loss: 4.1041 (4.0794)  time: 0.4108  data: 0.0004  max mem: 4478\n",
            "Epoch: [73]  [140/164]  eta: 0:00:10  lr: 0.000020  loss: 4.1019 (4.0795)  time: 0.4105  data: 0.0004  max mem: 4478\n",
            "Epoch: [73]  [150/164]  eta: 0:00:06  lr: 0.000020  loss: 4.0059 (4.0727)  time: 0.4015  data: 0.0001  max mem: 4478\n",
            "Epoch: [73]  [160/164]  eta: 0:00:01  lr: 0.000020  loss: 3.9526 (4.0658)  time: 0.3833  data: 0.0001  max mem: 4478\n",
            "Epoch: [73]  [163/164]  eta: 0:00:00  lr: 0.000020  loss: 3.9446 (4.0654)  time: 0.3774  data: 0.0001  max mem: 4478\n",
            "Epoch: [73] Total time: 0:01:12 (0.4409 s / it)\n",
            "Averaged stats: lr: 0.000020  loss: 3.9446 (4.0654)\n",
            "Test:  [ 0/20]  eta: 0:01:07  loss: 3.8626 (3.8626)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.3744  data: 3.1293  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0943 (3.1419)  acc1: 3.1250 (14.8674)  acc5: 46.8750 (51.7045)  time: 0.5755  data: 0.3649  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3265 (3.5277)  acc1: 0.0000 (8.5982)  acc5: 0.0000 (37.5717)  time: 0.4096  data: 0.2027  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4264 s / it)\n",
            "* Acc@1 8.598 Acc@5 37.572 loss 3.528\n",
            "Accuracy of the network on the 1919 test images: 8.6%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [74]  [  0/164]  eta: 0:12:10  lr: 0.000019  loss: 4.5636 (4.5636)  time: 4.4526  data: 3.6725  max mem: 4478\n",
            "Epoch: [74]  [ 10/164]  eta: 0:02:15  lr: 0.000019  loss: 4.0780 (4.1128)  time: 0.8824  data: 0.3358  max mem: 4478\n",
            "Epoch: [74]  [ 20/164]  eta: 0:01:34  lr: 0.000019  loss: 4.0280 (4.0952)  time: 0.4674  data: 0.0012  max mem: 4478\n",
            "Epoch: [74]  [ 30/164]  eta: 0:01:17  lr: 0.000019  loss: 4.0392 (4.0878)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 40/164]  eta: 0:01:06  lr: 0.000019  loss: 4.0693 (4.0938)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 50/164]  eta: 0:00:58  lr: 0.000019  loss: 3.9934 (4.0684)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 60/164]  eta: 0:00:51  lr: 0.000019  loss: 3.9922 (4.0969)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 70/164]  eta: 0:00:45  lr: 0.000019  loss: 4.0560 (4.0817)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 80/164]  eta: 0:00:40  lr: 0.000019  loss: 3.9565 (4.0704)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [ 90/164]  eta: 0:00:34  lr: 0.000019  loss: 4.0470 (4.0742)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [100/164]  eta: 0:00:29  lr: 0.000019  loss: 4.0593 (4.0703)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [110/164]  eta: 0:00:24  lr: 0.000019  loss: 4.0306 (4.0638)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [120/164]  eta: 0:00:20  lr: 0.000019  loss: 4.0613 (4.0676)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [130/164]  eta: 0:00:15  lr: 0.000019  loss: 4.1546 (4.0764)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [140/164]  eta: 0:00:10  lr: 0.000019  loss: 4.0885 (4.0765)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [74]  [150/164]  eta: 0:00:06  lr: 0.000019  loss: 4.0335 (4.0707)  time: 0.4001  data: 0.0001  max mem: 4478\n",
            "Epoch: [74]  [160/164]  eta: 0:00:01  lr: 0.000019  loss: 3.9571 (4.0644)  time: 0.3830  data: 0.0001  max mem: 4478\n",
            "Epoch: [74]  [163/164]  eta: 0:00:00  lr: 0.000019  loss: 3.9571 (4.0650)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [74] Total time: 0:01:12 (0.4413 s / it)\n",
            "Averaged stats: lr: 0.000019  loss: 3.9571 (4.0650)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8277 (3.8277)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5935  data: 3.2749  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0898 (3.1354)  acc1: 0.0000 (14.9621)  acc5: 46.8750 (51.7045)  time: 0.5992  data: 0.3798  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3253 (3.5404)  acc1: 0.0000 (8.2335)  acc5: 0.0000 (37.5717)  time: 0.4214  data: 0.2089  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4348 s / it)\n",
            "* Acc@1 8.233 Acc@5 37.572 loss 3.540\n",
            "Accuracy of the network on the 1919 test images: 8.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [75]  [  0/164]  eta: 0:11:12  lr: 0.000018  loss: 4.5382 (4.5382)  time: 4.1011  data: 3.3495  max mem: 4478\n",
            "Epoch: [75]  [ 10/164]  eta: 0:02:15  lr: 0.000018  loss: 4.0631 (4.1058)  time: 0.8771  data: 0.3081  max mem: 4478\n",
            "Epoch: [75]  [ 20/164]  eta: 0:01:34  lr: 0.000018  loss: 4.0580 (4.0925)  time: 0.4862  data: 0.0021  max mem: 4478\n",
            "Epoch: [75]  [ 30/164]  eta: 0:01:17  lr: 0.000018  loss: 4.0580 (4.0879)  time: 0.4113  data: 0.0001  max mem: 4478\n",
            "Epoch: [75]  [ 40/164]  eta: 0:01:06  lr: 0.000018  loss: 4.1046 (4.0972)  time: 0.4082  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [ 50/164]  eta: 0:00:58  lr: 0.000018  loss: 4.0348 (4.0714)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [ 60/164]  eta: 0:00:51  lr: 0.000018  loss: 3.9960 (4.0973)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [ 70/164]  eta: 0:00:45  lr: 0.000018  loss: 4.0437 (4.0828)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [ 80/164]  eta: 0:00:40  lr: 0.000018  loss: 3.9745 (4.0732)  time: 0.4166  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [ 90/164]  eta: 0:00:34  lr: 0.000018  loss: 4.0455 (4.0761)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [100/164]  eta: 0:00:29  lr: 0.000018  loss: 4.0636 (4.0722)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [110/164]  eta: 0:00:24  lr: 0.000018  loss: 4.0338 (4.0654)  time: 0.4150  data: 0.0004  max mem: 4478\n",
            "Epoch: [75]  [120/164]  eta: 0:00:20  lr: 0.000018  loss: 4.0346 (4.0684)  time: 0.4165  data: 0.0004  max mem: 4478\n",
            "Epoch: [75]  [130/164]  eta: 0:00:15  lr: 0.000018  loss: 4.1278 (4.0744)  time: 0.4171  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [140/164]  eta: 0:00:10  lr: 0.000018  loss: 4.0773 (4.0736)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [75]  [150/164]  eta: 0:00:06  lr: 0.000018  loss: 4.0214 (4.0680)  time: 0.3988  data: 0.0001  max mem: 4478\n",
            "Epoch: [75]  [160/164]  eta: 0:00:01  lr: 0.000018  loss: 3.9526 (4.0609)  time: 0.3820  data: 0.0001  max mem: 4478\n",
            "Epoch: [75]  [163/164]  eta: 0:00:00  lr: 0.000018  loss: 3.9526 (4.0614)  time: 0.3775  data: 0.0001  max mem: 4478\n",
            "Epoch: [75] Total time: 0:01:12 (0.4425 s / it)\n",
            "Averaged stats: lr: 0.000018  loss: 3.9526 (4.0614)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8080 (3.8080)  acc1: 0.0000 (0.0000)  acc5: 2.0833 (2.0833)  time: 3.5025  data: 3.2233  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1184 (3.1341)  acc1: 9.3750 (16.4773)  acc5: 46.8750 (52.3674)  time: 0.5940  data: 0.3799  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3572 (3.5226)  acc1: 0.0000 (9.0672)  acc5: 3.1250 (37.8322)  time: 0.4196  data: 0.2108  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4346 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.832 loss 3.523\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [76]  [  0/164]  eta: 0:11:08  lr: 0.000018  loss: 4.5082 (4.5082)  time: 4.0733  data: 3.2469  max mem: 4478\n",
            "Epoch: [76]  [ 10/164]  eta: 0:02:15  lr: 0.000018  loss: 4.0680 (4.1031)  time: 0.8792  data: 0.2964  max mem: 4478\n",
            "Epoch: [76]  [ 20/164]  eta: 0:01:34  lr: 0.000018  loss: 4.0249 (4.0857)  time: 0.4851  data: 0.0007  max mem: 4478\n",
            "Epoch: [76]  [ 30/164]  eta: 0:01:17  lr: 0.000018  loss: 4.0249 (4.0824)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 40/164]  eta: 0:01:06  lr: 0.000018  loss: 4.1023 (4.0898)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 50/164]  eta: 0:00:58  lr: 0.000018  loss: 4.0018 (4.0654)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 60/164]  eta: 0:00:51  lr: 0.000018  loss: 4.0018 (4.0970)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 70/164]  eta: 0:00:45  lr: 0.000018  loss: 4.0450 (4.0830)  time: 0.4178  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 80/164]  eta: 0:00:40  lr: 0.000018  loss: 3.9707 (4.0741)  time: 0.4169  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [ 90/164]  eta: 0:00:34  lr: 0.000018  loss: 4.0437 (4.0770)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [100/164]  eta: 0:00:29  lr: 0.000018  loss: 4.0765 (4.0734)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [110/164]  eta: 0:00:24  lr: 0.000018  loss: 4.0482 (4.0664)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [120/164]  eta: 0:00:20  lr: 0.000018  loss: 4.0376 (4.0688)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [130/164]  eta: 0:00:15  lr: 0.000018  loss: 4.0798 (4.0762)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [140/164]  eta: 0:00:10  lr: 0.000018  loss: 4.0798 (4.0765)  time: 0.4073  data: 0.0002  max mem: 4478\n",
            "Epoch: [76]  [150/164]  eta: 0:00:06  lr: 0.000018  loss: 4.0194 (4.0703)  time: 0.3993  data: 0.0001  max mem: 4478\n",
            "Epoch: [76]  [160/164]  eta: 0:00:01  lr: 0.000018  loss: 3.9695 (4.0643)  time: 0.3842  data: 0.0001  max mem: 4478\n",
            "Epoch: [76]  [163/164]  eta: 0:00:00  lr: 0.000018  loss: 3.9637 (4.0644)  time: 0.3785  data: 0.0001  max mem: 4478\n",
            "Epoch: [76] Total time: 0:01:12 (0.4414 s / it)\n",
            "Averaged stats: lr: 0.000018  loss: 3.9637 (4.0644)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8361 (3.8361)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5281  data: 3.2637  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1191 (3.1344)  acc1: 6.2500 (16.1932)  acc5: 46.8750 (51.7045)  time: 0.5992  data: 0.3830  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3276 (3.5251)  acc1: 0.0000 (8.9109)  acc5: 0.0000 (37.5717)  time: 0.4207  data: 0.2107  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4339 s / it)\n",
            "* Acc@1 8.911 Acc@5 37.572 loss 3.525\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [77]  [  0/164]  eta: 0:12:01  lr: 0.000017  loss: 4.5469 (4.5469)  time: 4.4018  data: 3.6445  max mem: 4478\n",
            "Epoch: [77]  [ 10/164]  eta: 0:02:15  lr: 0.000017  loss: 4.0547 (4.1030)  time: 0.8770  data: 0.3357  max mem: 4478\n",
            "Epoch: [77]  [ 20/164]  eta: 0:01:34  lr: 0.000017  loss: 4.0422 (4.0926)  time: 0.4689  data: 0.0025  max mem: 4478\n",
            "Epoch: [77]  [ 30/164]  eta: 0:01:17  lr: 0.000017  loss: 4.0561 (4.0865)  time: 0.4117  data: 0.0004  max mem: 4478\n",
            "Epoch: [77]  [ 40/164]  eta: 0:01:06  lr: 0.000017  loss: 4.0954 (4.0945)  time: 0.4106  data: 0.0004  max mem: 4478\n",
            "Epoch: [77]  [ 50/164]  eta: 0:00:58  lr: 0.000017  loss: 3.9949 (4.0686)  time: 0.4111  data: 0.0003  max mem: 4478\n",
            "Epoch: [77]  [ 60/164]  eta: 0:00:51  lr: 0.000017  loss: 4.0108 (4.0980)  time: 0.4164  data: 0.0003  max mem: 4478\n",
            "Epoch: [77]  [ 70/164]  eta: 0:00:45  lr: 0.000017  loss: 4.0640 (4.0847)  time: 0.4191  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [ 80/164]  eta: 0:00:40  lr: 0.000017  loss: 3.9487 (4.0720)  time: 0.4181  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [ 90/164]  eta: 0:00:34  lr: 0.000017  loss: 4.0318 (4.0761)  time: 0.4158  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [100/164]  eta: 0:00:29  lr: 0.000017  loss: 4.0820 (4.0733)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [110/164]  eta: 0:00:24  lr: 0.000017  loss: 4.0246 (4.0670)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [120/164]  eta: 0:00:20  lr: 0.000017  loss: 4.0188 (4.0702)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [130/164]  eta: 0:00:15  lr: 0.000017  loss: 4.1311 (4.0777)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [140/164]  eta: 0:00:10  lr: 0.000017  loss: 4.1059 (4.0779)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [77]  [150/164]  eta: 0:00:06  lr: 0.000017  loss: 4.0313 (4.0706)  time: 0.4006  data: 0.0001  max mem: 4478\n",
            "Epoch: [77]  [160/164]  eta: 0:00:01  lr: 0.000017  loss: 3.9474 (4.0631)  time: 0.3846  data: 0.0001  max mem: 4478\n",
            "Epoch: [77]  [163/164]  eta: 0:00:00  lr: 0.000017  loss: 3.9474 (4.0633)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [77] Total time: 0:01:12 (0.4422 s / it)\n",
            "Averaged stats: lr: 0.000017  loss: 3.9474 (4.0633)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.8554 (3.8554)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.0946  data: 3.7664  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0970 (3.1344)  acc1: 4.1667 (15.3409)  acc5: 46.8750 (51.6098)  time: 0.6159  data: 0.3945  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2998 (3.5204)  acc1: 0.0000 (8.6503)  acc5: 1.0417 (37.5717)  time: 0.4306  data: 0.2170  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4438 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.572 loss 3.520\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [78]  [  0/164]  eta: 0:11:35  lr: 0.000017  loss: 4.5414 (4.5414)  time: 4.2411  data: 3.4868  max mem: 4478\n",
            "Epoch: [78]  [ 10/164]  eta: 0:02:13  lr: 0.000017  loss: 4.0886 (4.1102)  time: 0.8694  data: 0.3188  max mem: 4478\n",
            "Epoch: [78]  [ 20/164]  eta: 0:01:33  lr: 0.000017  loss: 4.0243 (4.0911)  time: 0.4677  data: 0.0011  max mem: 4478\n",
            "Epoch: [78]  [ 30/164]  eta: 0:01:16  lr: 0.000017  loss: 4.0389 (4.0833)  time: 0.4049  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 40/164]  eta: 0:01:05  lr: 0.000017  loss: 4.0702 (4.0914)  time: 0.4077  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 50/164]  eta: 0:00:57  lr: 0.000017  loss: 4.0254 (4.0663)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 60/164]  eta: 0:00:51  lr: 0.000017  loss: 3.9807 (4.0949)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 70/164]  eta: 0:00:45  lr: 0.000017  loss: 4.0660 (4.0804)  time: 0.4182  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 80/164]  eta: 0:00:39  lr: 0.000017  loss: 3.9529 (4.0701)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [ 90/164]  eta: 0:00:34  lr: 0.000017  loss: 4.0184 (4.0728)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [100/164]  eta: 0:00:29  lr: 0.000017  loss: 4.0631 (4.0689)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [110/164]  eta: 0:00:24  lr: 0.000017  loss: 4.0491 (4.0620)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [120/164]  eta: 0:00:19  lr: 0.000017  loss: 4.0730 (4.0657)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [130/164]  eta: 0:00:15  lr: 0.000017  loss: 4.1303 (4.0740)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [140/164]  eta: 0:00:10  lr: 0.000017  loss: 4.1013 (4.0743)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [78]  [150/164]  eta: 0:00:06  lr: 0.000017  loss: 4.0202 (4.0675)  time: 0.4003  data: 0.0001  max mem: 4478\n",
            "Epoch: [78]  [160/164]  eta: 0:00:01  lr: 0.000017  loss: 3.9566 (4.0608)  time: 0.3822  data: 0.0001  max mem: 4478\n",
            "Epoch: [78]  [163/164]  eta: 0:00:00  lr: 0.000017  loss: 3.9566 (4.0609)  time: 0.3777  data: 0.0001  max mem: 4478\n",
            "Epoch: [78] Total time: 0:01:12 (0.4407 s / it)\n",
            "Averaged stats: lr: 0.000017  loss: 3.9566 (4.0609)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.8662 (3.8662)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4862  data: 3.2085  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0955 (3.1379)  acc1: 5.2083 (15.5303)  acc5: 46.8750 (51.7045)  time: 0.6094  data: 0.3852  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3053 (3.5177)  acc1: 0.0000 (9.0672)  acc5: 0.0000 (37.5717)  time: 0.4269  data: 0.2119  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4434 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.572 loss 3.518\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [79]  [  0/164]  eta: 0:10:33  lr: 0.000016  loss: 4.5307 (4.5307)  time: 3.8639  data: 3.0321  max mem: 4478\n",
            "Epoch: [79]  [ 10/164]  eta: 0:02:16  lr: 0.000016  loss: 4.0797 (4.1102)  time: 0.8870  data: 0.2803  max mem: 4478\n",
            "Epoch: [79]  [ 20/164]  eta: 0:01:35  lr: 0.000016  loss: 4.0462 (4.0868)  time: 0.5050  data: 0.0026  max mem: 4478\n",
            "Epoch: [79]  [ 30/164]  eta: 0:01:18  lr: 0.000016  loss: 4.0462 (4.0794)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 40/164]  eta: 0:01:07  lr: 0.000016  loss: 4.1016 (4.0846)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 50/164]  eta: 0:00:59  lr: 0.000016  loss: 3.9909 (4.0628)  time: 0.4186  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 60/164]  eta: 0:00:52  lr: 0.000016  loss: 4.0173 (4.0938)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 70/164]  eta: 0:00:46  lr: 0.000016  loss: 4.0770 (4.0798)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 80/164]  eta: 0:00:40  lr: 0.000016  loss: 3.9469 (4.0680)  time: 0.4204  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [ 90/164]  eta: 0:00:35  lr: 0.000016  loss: 4.0089 (4.0722)  time: 0.4217  data: 0.0004  max mem: 4478\n",
            "Epoch: [79]  [100/164]  eta: 0:00:30  lr: 0.000016  loss: 4.0639 (4.0688)  time: 0.4158  data: 0.0004  max mem: 4478\n",
            "Epoch: [79]  [110/164]  eta: 0:00:25  lr: 0.000016  loss: 4.0164 (4.0624)  time: 0.4171  data: 0.0003  max mem: 4478\n",
            "Epoch: [79]  [120/164]  eta: 0:00:20  lr: 0.000016  loss: 4.0402 (4.0655)  time: 0.4180  data: 0.0003  max mem: 4478\n",
            "Epoch: [79]  [130/164]  eta: 0:00:15  lr: 0.000016  loss: 4.1328 (4.0721)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [140/164]  eta: 0:00:10  lr: 0.000016  loss: 4.0990 (4.0734)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [79]  [150/164]  eta: 0:00:06  lr: 0.000016  loss: 4.0475 (4.0683)  time: 0.4006  data: 0.0001  max mem: 4478\n",
            "Epoch: [79]  [160/164]  eta: 0:00:01  lr: 0.000016  loss: 3.9558 (4.0612)  time: 0.3829  data: 0.0001  max mem: 4478\n",
            "Epoch: [79]  [163/164]  eta: 0:00:00  lr: 0.000016  loss: 3.9558 (4.0613)  time: 0.3779  data: 0.0001  max mem: 4478\n",
            "Epoch: [79] Total time: 0:01:13 (0.4456 s / it)\n",
            "Averaged stats: lr: 0.000016  loss: 3.9558 (4.0613)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8621 (3.8621)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5181  data: 3.2524  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1015 (3.1456)  acc1: 0.0000 (15.1515)  acc5: 46.8750 (51.7045)  time: 0.5988  data: 0.3876  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3258 (3.5520)  acc1: 0.0000 (8.3377)  acc5: 0.0000 (37.5717)  time: 0.4272  data: 0.2195  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4404 s / it)\n",
            "* Acc@1 8.338 Acc@5 37.572 loss 3.552\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [80]  [  0/164]  eta: 0:10:52  lr: 0.000016  loss: 4.5685 (4.5685)  time: 3.9764  data: 3.1681  max mem: 4478\n",
            "Epoch: [80]  [ 10/164]  eta: 0:02:15  lr: 0.000016  loss: 4.0509 (4.1076)  time: 0.8814  data: 0.2923  max mem: 4478\n",
            "Epoch: [80]  [ 20/164]  eta: 0:01:34  lr: 0.000016  loss: 4.0249 (4.0902)  time: 0.4876  data: 0.0025  max mem: 4478\n",
            "Epoch: [80]  [ 30/164]  eta: 0:01:17  lr: 0.000016  loss: 4.0534 (4.0908)  time: 0.4074  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 40/164]  eta: 0:01:06  lr: 0.000016  loss: 4.0969 (4.0964)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 50/164]  eta: 0:00:58  lr: 0.000016  loss: 4.0305 (4.0712)  time: 0.4155  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 60/164]  eta: 0:00:51  lr: 0.000016  loss: 4.0143 (4.1019)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 70/164]  eta: 0:00:45  lr: 0.000016  loss: 4.0501 (4.0858)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 80/164]  eta: 0:00:39  lr: 0.000016  loss: 3.9497 (4.0741)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [ 90/164]  eta: 0:00:34  lr: 0.000016  loss: 3.9945 (4.0782)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [100/164]  eta: 0:00:29  lr: 0.000016  loss: 4.0794 (4.0743)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [110/164]  eta: 0:00:24  lr: 0.000016  loss: 4.0501 (4.0685)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [120/164]  eta: 0:00:20  lr: 0.000016  loss: 4.0422 (4.0716)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [130/164]  eta: 0:00:15  lr: 0.000016  loss: 4.1126 (4.0779)  time: 0.4135  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [140/164]  eta: 0:00:10  lr: 0.000016  loss: 4.0990 (4.0778)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [80]  [150/164]  eta: 0:00:06  lr: 0.000016  loss: 4.0221 (4.0715)  time: 0.3997  data: 0.0001  max mem: 4478\n",
            "Epoch: [80]  [160/164]  eta: 0:00:01  lr: 0.000016  loss: 3.9579 (4.0642)  time: 0.3828  data: 0.0001  max mem: 4478\n",
            "Epoch: [80]  [163/164]  eta: 0:00:00  lr: 0.000016  loss: 3.9475 (4.0639)  time: 0.3785  data: 0.0001  max mem: 4478\n",
            "Epoch: [80] Total time: 0:01:12 (0.4414 s / it)\n",
            "Averaged stats: lr: 0.000016  loss: 3.9475 (4.0639)\n",
            "Test:  [ 0/20]  eta: 0:01:23  loss: 3.8741 (3.8741)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.1568  data: 3.8188  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0981 (3.1382)  acc1: 1.0417 (15.7197)  acc5: 46.8750 (51.2311)  time: 0.6172  data: 0.4008  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3186 (3.5182)  acc1: 0.0000 (8.6503)  acc5: 3.1250 (37.4153)  time: 0.4317  data: 0.2204  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4459 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.415 loss 3.518\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [81]  [  0/164]  eta: 0:11:19  lr: 0.000015  loss: 4.5345 (4.5345)  time: 4.1454  data: 3.3704  max mem: 4478\n",
            "Epoch: [81]  [ 10/164]  eta: 0:02:15  lr: 0.000015  loss: 4.0245 (4.1060)  time: 0.8797  data: 0.3082  max mem: 4478\n",
            "Epoch: [81]  [ 20/164]  eta: 0:01:35  lr: 0.000015  loss: 4.0245 (4.0867)  time: 0.4857  data: 0.0010  max mem: 4478\n",
            "Epoch: [81]  [ 30/164]  eta: 0:01:17  lr: 0.000015  loss: 4.0468 (4.0804)  time: 0.4153  data: 0.0003  max mem: 4478\n",
            "Epoch: [81]  [ 40/164]  eta: 0:01:06  lr: 0.000015  loss: 4.0940 (4.0912)  time: 0.4114  data: 0.0006  max mem: 4478\n",
            "Epoch: [81]  [ 50/164]  eta: 0:00:58  lr: 0.000015  loss: 3.9950 (4.0658)  time: 0.4103  data: 0.0004  max mem: 4478\n",
            "Epoch: [81]  [ 60/164]  eta: 0:00:51  lr: 0.000015  loss: 3.9992 (4.0952)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [ 70/164]  eta: 0:00:45  lr: 0.000015  loss: 4.0695 (4.0800)  time: 0.4169  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [ 80/164]  eta: 0:00:40  lr: 0.000015  loss: 3.9488 (4.0696)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [ 90/164]  eta: 0:00:34  lr: 0.000015  loss: 4.0465 (4.0737)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [100/164]  eta: 0:00:29  lr: 0.000015  loss: 4.0741 (4.0698)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [110/164]  eta: 0:00:24  lr: 0.000015  loss: 4.0255 (4.0623)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [120/164]  eta: 0:00:20  lr: 0.000015  loss: 4.0497 (4.0652)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [130/164]  eta: 0:00:15  lr: 0.000015  loss: 4.0641 (4.0724)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [81]  [140/164]  eta: 0:00:10  lr: 0.000015  loss: 4.0641 (4.0718)  time: 0.4104  data: 0.0003  max mem: 4478\n",
            "Epoch: [81]  [150/164]  eta: 0:00:06  lr: 0.000015  loss: 3.9772 (4.0661)  time: 0.3973  data: 0.0001  max mem: 4478\n",
            "Epoch: [81]  [160/164]  eta: 0:00:01  lr: 0.000015  loss: 3.9541 (4.0599)  time: 0.3823  data: 0.0001  max mem: 4478\n",
            "Epoch: [81]  [163/164]  eta: 0:00:00  lr: 0.000015  loss: 3.9521 (4.0602)  time: 0.3782  data: 0.0001  max mem: 4478\n",
            "Epoch: [81] Total time: 0:01:12 (0.4426 s / it)\n",
            "Averaged stats: lr: 0.000015  loss: 3.9521 (4.0602)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8864 (3.8864)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5671  data: 3.2851  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0762 (3.1301)  acc1: 0.0000 (15.1515)  acc5: 47.9167 (51.7992)  time: 0.5931  data: 0.3745  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3220 (3.5365)  acc1: 0.0000 (8.3377)  acc5: 0.0000 (37.6238)  time: 0.4178  data: 0.2060  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4317 s / it)\n",
            "* Acc@1 8.338 Acc@5 37.624 loss 3.536\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [82]  [  0/164]  eta: 0:10:27  lr: 0.000015  loss: 4.5277 (4.5277)  time: 3.8232  data: 2.9670  max mem: 4478\n",
            "Epoch: [82]  [ 10/164]  eta: 0:02:14  lr: 0.000015  loss: 4.0374 (4.0948)  time: 0.8707  data: 0.2712  max mem: 4478\n",
            "Epoch: [82]  [ 20/164]  eta: 0:01:33  lr: 0.000015  loss: 4.0228 (4.0822)  time: 0.4934  data: 0.0009  max mem: 4478\n",
            "Epoch: [82]  [ 30/164]  eta: 0:01:16  lr: 0.000015  loss: 4.0244 (4.0768)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 40/164]  eta: 0:01:06  lr: 0.000015  loss: 4.1144 (4.0819)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 50/164]  eta: 0:00:58  lr: 0.000015  loss: 3.9698 (4.0604)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 60/164]  eta: 0:00:51  lr: 0.000015  loss: 4.0179 (4.0897)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 70/164]  eta: 0:00:45  lr: 0.000015  loss: 4.0392 (4.0741)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 80/164]  eta: 0:00:39  lr: 0.000015  loss: 3.9604 (4.0619)  time: 0.4184  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [ 90/164]  eta: 0:00:34  lr: 0.000015  loss: 4.0088 (4.0656)  time: 0.4242  data: 0.0004  max mem: 4478\n",
            "Epoch: [82]  [100/164]  eta: 0:00:29  lr: 0.000015  loss: 4.0423 (4.0624)  time: 0.4233  data: 0.0004  max mem: 4478\n",
            "Epoch: [82]  [110/164]  eta: 0:00:24  lr: 0.000015  loss: 4.0143 (4.0573)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [120/164]  eta: 0:00:20  lr: 0.000015  loss: 4.0353 (4.0605)  time: 0.4124  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [130/164]  eta: 0:00:15  lr: 0.000015  loss: 4.1268 (4.0699)  time: 0.4179  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [140/164]  eta: 0:00:10  lr: 0.000015  loss: 4.1022 (4.0704)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [82]  [150/164]  eta: 0:00:06  lr: 0.000015  loss: 4.0241 (4.0644)  time: 0.4004  data: 0.0001  max mem: 4478\n",
            "Epoch: [82]  [160/164]  eta: 0:00:01  lr: 0.000015  loss: 3.9325 (4.0573)  time: 0.3831  data: 0.0001  max mem: 4478\n",
            "Epoch: [82]  [163/164]  eta: 0:00:00  lr: 0.000015  loss: 3.9325 (4.0577)  time: 0.3783  data: 0.0001  max mem: 4478\n",
            "Epoch: [82] Total time: 0:01:12 (0.4433 s / it)\n",
            "Averaged stats: lr: 0.000015  loss: 3.9325 (4.0577)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.8151 (3.8151)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.8446  data: 3.5589  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1067 (3.1294)  acc1: 2.0833 (15.7197)  acc5: 46.8750 (52.0833)  time: 0.6208  data: 0.3994  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3482 (3.5120)  acc1: 0.0000 (8.6503)  acc5: 5.2083 (37.6759)  time: 0.4332  data: 0.2197  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4486 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.676 loss 3.512\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [83]  [  0/164]  eta: 0:10:38  lr: 0.000014  loss: 4.5255 (4.5255)  time: 3.8952  data: 3.0476  max mem: 4478\n",
            "Epoch: [83]  [ 10/164]  eta: 0:02:15  lr: 0.000014  loss: 4.0839 (4.1001)  time: 0.8798  data: 0.2811  max mem: 4478\n",
            "Epoch: [83]  [ 20/164]  eta: 0:01:33  lr: 0.000014  loss: 4.0415 (4.0918)  time: 0.4903  data: 0.0025  max mem: 4478\n",
            "Epoch: [83]  [ 30/164]  eta: 0:01:16  lr: 0.000014  loss: 4.0599 (4.0805)  time: 0.4052  data: 0.0003  max mem: 4478\n",
            "Epoch: [83]  [ 40/164]  eta: 0:01:06  lr: 0.000014  loss: 4.1100 (4.0858)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [ 50/164]  eta: 0:00:58  lr: 0.000014  loss: 3.9912 (4.0608)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [ 60/164]  eta: 0:00:51  lr: 0.000014  loss: 3.9921 (4.0907)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [ 70/164]  eta: 0:00:45  lr: 0.000014  loss: 4.0332 (4.0783)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [ 80/164]  eta: 0:00:40  lr: 0.000014  loss: 3.9635 (4.0666)  time: 0.4192  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [ 90/164]  eta: 0:00:34  lr: 0.000014  loss: 4.0222 (4.0710)  time: 0.4176  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [100/164]  eta: 0:00:29  lr: 0.000014  loss: 4.0355 (4.0680)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [110/164]  eta: 0:00:24  lr: 0.000014  loss: 4.0194 (4.0621)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [120/164]  eta: 0:00:20  lr: 0.000014  loss: 4.0486 (4.0655)  time: 0.4103  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [130/164]  eta: 0:00:15  lr: 0.000014  loss: 4.1018 (4.0726)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [140/164]  eta: 0:00:10  lr: 0.000014  loss: 4.0680 (4.0731)  time: 0.4132  data: 0.0002  max mem: 4478\n",
            "Epoch: [83]  [150/164]  eta: 0:00:06  lr: 0.000014  loss: 4.0241 (4.0672)  time: 0.4002  data: 0.0001  max mem: 4478\n",
            "Epoch: [83]  [160/164]  eta: 0:00:01  lr: 0.000014  loss: 3.9561 (4.0611)  time: 0.3835  data: 0.0001  max mem: 4478\n",
            "Epoch: [83]  [163/164]  eta: 0:00:00  lr: 0.000014  loss: 3.9561 (4.0615)  time: 0.3787  data: 0.0001  max mem: 4478\n",
            "Epoch: [83] Total time: 0:01:12 (0.4413 s / it)\n",
            "Averaged stats: lr: 0.000014  loss: 3.9561 (4.0615)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8383 (3.8383)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 3.5521  data: 3.2411  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1117 (3.1341)  acc1: 0.0000 (15.1515)  acc5: 46.8750 (51.7992)  time: 0.5876  data: 0.3673  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3319 (3.5263)  acc1: 0.0000 (8.3377)  acc5: 1.0417 (37.6238)  time: 0.4179  data: 0.2054  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4319 s / it)\n",
            "* Acc@1 8.338 Acc@5 37.624 loss 3.526\n",
            "Accuracy of the network on the 1919 test images: 8.3%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [84]  [  0/164]  eta: 0:11:50  lr: 0.000014  loss: 4.5503 (4.5503)  time: 4.3341  data: 3.5740  max mem: 4478\n",
            "Epoch: [84]  [ 10/164]  eta: 0:02:14  lr: 0.000014  loss: 4.0357 (4.0958)  time: 0.8731  data: 0.3269  max mem: 4478\n",
            "Epoch: [84]  [ 20/164]  eta: 0:01:33  lr: 0.000014  loss: 4.0345 (4.0838)  time: 0.4656  data: 0.0012  max mem: 4478\n",
            "Epoch: [84]  [ 30/164]  eta: 0:01:16  lr: 0.000014  loss: 4.0264 (4.0801)  time: 0.4078  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 40/164]  eta: 0:01:06  lr: 0.000014  loss: 4.0886 (4.0843)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 50/164]  eta: 0:00:58  lr: 0.000014  loss: 3.9857 (4.0605)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 60/164]  eta: 0:00:51  lr: 0.000014  loss: 3.9857 (4.0901)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 70/164]  eta: 0:00:45  lr: 0.000014  loss: 4.0590 (4.0761)  time: 0.4185  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 80/164]  eta: 0:00:40  lr: 0.000014  loss: 3.9562 (4.0659)  time: 0.4206  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [ 90/164]  eta: 0:00:34  lr: 0.000014  loss: 4.0106 (4.0692)  time: 0.4174  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [100/164]  eta: 0:00:29  lr: 0.000014  loss: 4.0343 (4.0648)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [110/164]  eta: 0:00:24  lr: 0.000014  loss: 4.0031 (4.0571)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [120/164]  eta: 0:00:20  lr: 0.000014  loss: 4.0142 (4.0607)  time: 0.4160  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [130/164]  eta: 0:00:15  lr: 0.000014  loss: 4.1088 (4.0675)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [140/164]  eta: 0:00:10  lr: 0.000014  loss: 4.0577 (4.0673)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [84]  [150/164]  eta: 0:00:06  lr: 0.000014  loss: 4.0327 (4.0612)  time: 0.4027  data: 0.0001  max mem: 4478\n",
            "Epoch: [84]  [160/164]  eta: 0:00:01  lr: 0.000014  loss: 3.9708 (4.0548)  time: 0.3831  data: 0.0001  max mem: 4478\n",
            "Epoch: [84]  [163/164]  eta: 0:00:00  lr: 0.000014  loss: 3.9708 (4.0553)  time: 0.3778  data: 0.0001  max mem: 4478\n",
            "Epoch: [84] Total time: 0:01:12 (0.4418 s / it)\n",
            "Averaged stats: lr: 0.000014  loss: 3.9708 (4.0553)\n",
            "Test:  [ 0/20]  eta: 0:01:23  loss: 3.8196 (3.8196)  acc1: 0.0000 (0.0000)  acc5: 2.0833 (2.0833)  time: 4.1882  data: 3.8659  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1156 (3.1382)  acc1: 3.1250 (15.4356)  acc5: 46.8750 (51.8939)  time: 0.6146  data: 0.3935  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3410 (3.5144)  acc1: 0.0000 (8.4940)  acc5: 2.0833 (37.6759)  time: 0.4303  data: 0.2164  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4453 s / it)\n",
            "* Acc@1 8.494 Acc@5 37.676 loss 3.514\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [85]  [  0/164]  eta: 0:10:18  lr: 0.000013  loss: 4.5547 (4.5547)  time: 3.7713  data: 2.9991  max mem: 4478\n",
            "Epoch: [85]  [ 10/164]  eta: 0:02:13  lr: 0.000013  loss: 4.0453 (4.0924)  time: 0.8697  data: 0.2912  max mem: 4478\n",
            "Epoch: [85]  [ 20/164]  eta: 0:01:33  lr: 0.000013  loss: 4.0372 (4.0798)  time: 0.4960  data: 0.0103  max mem: 4478\n",
            "Epoch: [85]  [ 30/164]  eta: 0:01:17  lr: 0.000013  loss: 4.0448 (4.0773)  time: 0.4136  data: 0.0001  max mem: 4478\n",
            "Epoch: [85]  [ 40/164]  eta: 0:01:06  lr: 0.000013  loss: 4.1428 (4.0858)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [ 50/164]  eta: 0:00:58  lr: 0.000013  loss: 4.0102 (4.0648)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [ 60/164]  eta: 0:00:51  lr: 0.000013  loss: 4.0112 (4.0920)  time: 0.4163  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [ 70/164]  eta: 0:00:45  lr: 0.000013  loss: 4.0628 (4.0787)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [ 80/164]  eta: 0:00:39  lr: 0.000013  loss: 3.9622 (4.0674)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [ 90/164]  eta: 0:00:34  lr: 0.000013  loss: 4.0122 (4.0721)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [100/164]  eta: 0:00:29  lr: 0.000013  loss: 4.0496 (4.0685)  time: 0.4107  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [110/164]  eta: 0:00:24  lr: 0.000013  loss: 4.0336 (4.0627)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [120/164]  eta: 0:00:19  lr: 0.000013  loss: 4.0515 (4.0644)  time: 0.4106  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [130/164]  eta: 0:00:15  lr: 0.000013  loss: 4.1091 (4.0741)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [140/164]  eta: 0:00:10  lr: 0.000013  loss: 4.1031 (4.0742)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [85]  [150/164]  eta: 0:00:06  lr: 0.000013  loss: 4.0075 (4.0681)  time: 0.4019  data: 0.0001  max mem: 4478\n",
            "Epoch: [85]  [160/164]  eta: 0:00:01  lr: 0.000013  loss: 3.9678 (4.0613)  time: 0.3843  data: 0.0001  max mem: 4478\n",
            "Epoch: [85]  [163/164]  eta: 0:00:00  lr: 0.000013  loss: 3.9678 (4.0615)  time: 0.3781  data: 0.0001  max mem: 4478\n",
            "Epoch: [85] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000013  loss: 3.9678 (4.0615)\n",
            "Test:  [ 0/20]  eta: 0:01:20  loss: 3.8360 (3.8360)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.0385  data: 3.7248  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1018 (3.1366)  acc1: 1.0417 (15.2462)  acc5: 46.8750 (51.7045)  time: 0.6172  data: 0.3983  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3222 (3.5208)  acc1: 0.0000 (8.3898)  acc5: 0.0000 (37.5717)  time: 0.4317  data: 0.2191  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4459 s / it)\n",
            "* Acc@1 8.390 Acc@5 37.572 loss 3.521\n",
            "Accuracy of the network on the 1919 test images: 8.4%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [86]  [  0/164]  eta: 0:12:59  lr: 0.000013  loss: 4.5463 (4.5463)  time: 4.7528  data: 3.9976  max mem: 4478\n",
            "Epoch: [86]  [ 10/164]  eta: 0:02:20  lr: 0.000013  loss: 4.0540 (4.0951)  time: 0.9142  data: 0.3644  max mem: 4478\n",
            "Epoch: [86]  [ 20/164]  eta: 0:01:36  lr: 0.000013  loss: 4.0184 (4.0758)  time: 0.4676  data: 0.0006  max mem: 4478\n",
            "Epoch: [86]  [ 30/164]  eta: 0:01:18  lr: 0.000013  loss: 4.0313 (4.0742)  time: 0.4054  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [ 40/164]  eta: 0:01:07  lr: 0.000013  loss: 4.1219 (4.0841)  time: 0.4148  data: 0.0006  max mem: 4478\n",
            "Epoch: [86]  [ 50/164]  eta: 0:00:59  lr: 0.000013  loss: 3.9860 (4.0615)  time: 0.4174  data: 0.0006  max mem: 4478\n",
            "Epoch: [86]  [ 60/164]  eta: 0:00:52  lr: 0.000013  loss: 3.9826 (4.0899)  time: 0.4108  data: 0.0003  max mem: 4478\n",
            "Epoch: [86]  [ 70/164]  eta: 0:00:46  lr: 0.000013  loss: 4.0613 (4.0751)  time: 0.4133  data: 0.0003  max mem: 4478\n",
            "Epoch: [86]  [ 80/164]  eta: 0:00:40  lr: 0.000013  loss: 3.9548 (4.0634)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [ 90/164]  eta: 0:00:34  lr: 0.000013  loss: 4.0006 (4.0681)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [100/164]  eta: 0:00:29  lr: 0.000013  loss: 4.0671 (4.0646)  time: 0.4099  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [110/164]  eta: 0:00:24  lr: 0.000013  loss: 4.0445 (4.0579)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [120/164]  eta: 0:00:20  lr: 0.000013  loss: 4.0445 (4.0607)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [130/164]  eta: 0:00:15  lr: 0.000013  loss: 4.0852 (4.0672)  time: 0.4212  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [140/164]  eta: 0:00:10  lr: 0.000013  loss: 4.0823 (4.0679)  time: 0.4224  data: 0.0002  max mem: 4478\n",
            "Epoch: [86]  [150/164]  eta: 0:00:06  lr: 0.000013  loss: 4.0209 (4.0620)  time: 0.4038  data: 0.0001  max mem: 4478\n",
            "Epoch: [86]  [160/164]  eta: 0:00:01  lr: 0.000013  loss: 3.9390 (4.0554)  time: 0.3823  data: 0.0001  max mem: 4478\n",
            "Epoch: [86]  [163/164]  eta: 0:00:00  lr: 0.000013  loss: 3.9390 (4.0561)  time: 0.3773  data: 0.0001  max mem: 4478\n",
            "Epoch: [86] Total time: 0:01:12 (0.4445 s / it)\n",
            "Averaged stats: lr: 0.000013  loss: 3.9390 (4.0561)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8414 (3.8414)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 3.5662  data: 3.2741  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0923 (3.1327)  acc1: 4.1667 (15.9091)  acc5: 46.8750 (51.7992)  time: 0.5984  data: 0.3812  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3172 (3.5129)  acc1: 0.0000 (8.8067)  acc5: 1.0417 (37.6759)  time: 0.4231  data: 0.2126  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4380 s / it)\n",
            "* Acc@1 8.807 Acc@5 37.676 loss 3.513\n",
            "Accuracy of the network on the 1919 test images: 8.8%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [87]  [  0/164]  eta: 0:10:32  lr: 0.000012  loss: 4.5421 (4.5421)  time: 3.8564  data: 3.0754  max mem: 4478\n",
            "Epoch: [87]  [ 10/164]  eta: 0:02:15  lr: 0.000012  loss: 4.1010 (4.1019)  time: 0.8770  data: 0.2809  max mem: 4478\n",
            "Epoch: [87]  [ 20/164]  eta: 0:01:34  lr: 0.000012  loss: 4.0182 (4.0865)  time: 0.4954  data: 0.0008  max mem: 4478\n",
            "Epoch: [87]  [ 30/164]  eta: 0:01:17  lr: 0.000012  loss: 4.0605 (4.0822)  time: 0.4095  data: 0.0001  max mem: 4478\n",
            "Epoch: [87]  [ 40/164]  eta: 0:01:06  lr: 0.000012  loss: 4.0792 (4.0866)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [ 50/164]  eta: 0:00:58  lr: 0.000012  loss: 4.0034 (4.0621)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [ 60/164]  eta: 0:00:51  lr: 0.000012  loss: 3.9915 (4.0891)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [ 70/164]  eta: 0:00:45  lr: 0.000012  loss: 4.0312 (4.0766)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [ 80/164]  eta: 0:00:39  lr: 0.000012  loss: 3.9494 (4.0653)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [ 90/164]  eta: 0:00:34  lr: 0.000012  loss: 4.0412 (4.0698)  time: 0.4157  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [100/164]  eta: 0:00:29  lr: 0.000012  loss: 4.1105 (4.0647)  time: 0.4194  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [110/164]  eta: 0:00:24  lr: 0.000012  loss: 4.0087 (4.0576)  time: 0.4148  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [120/164]  eta: 0:00:20  lr: 0.000012  loss: 4.0388 (4.0587)  time: 0.4090  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [130/164]  eta: 0:00:15  lr: 0.000012  loss: 4.1351 (4.0687)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [140/164]  eta: 0:00:10  lr: 0.000012  loss: 4.0968 (4.0689)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [87]  [150/164]  eta: 0:00:06  lr: 0.000012  loss: 4.0092 (4.0627)  time: 0.3989  data: 0.0001  max mem: 4478\n",
            "Epoch: [87]  [160/164]  eta: 0:00:01  lr: 0.000012  loss: 3.9345 (4.0571)  time: 0.3830  data: 0.0001  max mem: 4478\n",
            "Epoch: [87]  [163/164]  eta: 0:00:00  lr: 0.000012  loss: 3.9345 (4.0577)  time: 0.3778  data: 0.0001  max mem: 4478\n",
            "Epoch: [87] Total time: 0:01:12 (0.4412 s / it)\n",
            "Averaged stats: lr: 0.000012  loss: 3.9345 (4.0577)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8284 (3.8284)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5850  data: 3.2756  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1454 (3.1446)  acc1: 5.2083 (16.0985)  acc5: 46.8750 (51.4205)  time: 0.5901  data: 0.3756  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3421 (3.5232)  acc1: 0.0000 (8.8588)  acc5: 1.0417 (37.4674)  time: 0.4237  data: 0.2145  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4375 s / it)\n",
            "* Acc@1 8.859 Acc@5 37.467 loss 3.523\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [88]  [  0/164]  eta: 0:11:41  lr: 0.000012  loss: 4.5275 (4.5275)  time: 4.2756  data: 3.5147  max mem: 4478\n",
            "Epoch: [88]  [ 10/164]  eta: 0:02:14  lr: 0.000012  loss: 4.0524 (4.0997)  time: 0.8714  data: 0.3210  max mem: 4478\n",
            "Epoch: [88]  [ 20/164]  eta: 0:01:33  lr: 0.000012  loss: 4.0517 (4.0902)  time: 0.4689  data: 0.0009  max mem: 4478\n",
            "Epoch: [88]  [ 30/164]  eta: 0:01:16  lr: 0.000012  loss: 4.0427 (4.0824)  time: 0.4095  data: 0.0001  max mem: 4478\n",
            "Epoch: [88]  [ 40/164]  eta: 0:01:06  lr: 0.000012  loss: 4.1087 (4.0905)  time: 0.4107  data: 0.0001  max mem: 4478\n",
            "Epoch: [88]  [ 50/164]  eta: 0:00:58  lr: 0.000012  loss: 4.0046 (4.0662)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [ 60/164]  eta: 0:00:51  lr: 0.000012  loss: 3.9971 (4.0932)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [ 70/164]  eta: 0:00:45  lr: 0.000012  loss: 4.0638 (4.0775)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [ 80/164]  eta: 0:00:39  lr: 0.000012  loss: 3.9441 (4.0680)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [ 90/164]  eta: 0:00:34  lr: 0.000012  loss: 4.0394 (4.0731)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [100/164]  eta: 0:00:29  lr: 0.000012  loss: 4.0706 (4.0701)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [110/164]  eta: 0:00:24  lr: 0.000012  loss: 4.0191 (4.0631)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [120/164]  eta: 0:00:19  lr: 0.000012  loss: 4.0351 (4.0661)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [130/164]  eta: 0:00:15  lr: 0.000012  loss: 4.1295 (4.0736)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [140/164]  eta: 0:00:10  lr: 0.000012  loss: 4.1084 (4.0736)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [88]  [150/164]  eta: 0:00:06  lr: 0.000012  loss: 4.0129 (4.0661)  time: 0.4008  data: 0.0001  max mem: 4478\n",
            "Epoch: [88]  [160/164]  eta: 0:00:01  lr: 0.000012  loss: 3.9530 (4.0599)  time: 0.3836  data: 0.0001  max mem: 4478\n",
            "Epoch: [88]  [163/164]  eta: 0:00:00  lr: 0.000012  loss: 3.9530 (4.0603)  time: 0.3780  data: 0.0001  max mem: 4478\n",
            "Epoch: [88] Total time: 0:01:12 (0.4405 s / it)\n",
            "Averaged stats: lr: 0.000012  loss: 3.9530 (4.0603)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.8391 (3.8391)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9702  data: 3.6631  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0816 (3.1290)  acc1: 3.1250 (15.5303)  acc5: 46.8750 (51.8939)  time: 0.6097  data: 0.3889  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3196 (3.5108)  acc1: 0.0000 (8.5461)  acc5: 1.0417 (37.7280)  time: 0.4267  data: 0.2139  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4406 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.728 loss 3.511\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [89]  [  0/164]  eta: 0:11:44  lr: 0.000012  loss: 4.5490 (4.5490)  time: 4.2972  data: 3.5428  max mem: 4478\n",
            "Epoch: [89]  [ 10/164]  eta: 0:02:15  lr: 0.000012  loss: 4.0440 (4.0951)  time: 0.8790  data: 0.3241  max mem: 4478\n",
            "Epoch: [89]  [ 20/164]  eta: 0:01:34  lr: 0.000012  loss: 4.0399 (4.0828)  time: 0.4746  data: 0.0012  max mem: 4478\n",
            "Epoch: [89]  [ 30/164]  eta: 0:01:17  lr: 0.000012  loss: 4.0399 (4.0738)  time: 0.4115  data: 0.0001  max mem: 4478\n",
            "Epoch: [89]  [ 40/164]  eta: 0:01:06  lr: 0.000012  loss: 4.1097 (4.0809)  time: 0.4097  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [ 50/164]  eta: 0:00:58  lr: 0.000012  loss: 3.9924 (4.0560)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [ 60/164]  eta: 0:00:51  lr: 0.000012  loss: 3.9968 (4.0846)  time: 0.4159  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [ 70/164]  eta: 0:00:45  lr: 0.000012  loss: 4.0301 (4.0708)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [ 80/164]  eta: 0:00:39  lr: 0.000012  loss: 3.9603 (4.0596)  time: 0.4089  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [ 90/164]  eta: 0:00:34  lr: 0.000012  loss: 4.0246 (4.0643)  time: 0.4138  data: 0.0005  max mem: 4478\n",
            "Epoch: [89]  [100/164]  eta: 0:00:29  lr: 0.000012  loss: 4.0308 (4.0590)  time: 0.4174  data: 0.0005  max mem: 4478\n",
            "Epoch: [89]  [110/164]  eta: 0:00:24  lr: 0.000012  loss: 4.0178 (4.0529)  time: 0.4128  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [120/164]  eta: 0:00:20  lr: 0.000012  loss: 4.0181 (4.0555)  time: 0.4119  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [130/164]  eta: 0:00:15  lr: 0.000012  loss: 4.1255 (4.0640)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [140/164]  eta: 0:00:10  lr: 0.000012  loss: 4.0859 (4.0642)  time: 0.4084  data: 0.0002  max mem: 4478\n",
            "Epoch: [89]  [150/164]  eta: 0:00:06  lr: 0.000012  loss: 4.0088 (4.0586)  time: 0.4019  data: 0.0001  max mem: 4478\n",
            "Epoch: [89]  [160/164]  eta: 0:00:01  lr: 0.000012  loss: 3.9552 (4.0525)  time: 0.3858  data: 0.0001  max mem: 4478\n",
            "Epoch: [89]  [163/164]  eta: 0:00:00  lr: 0.000012  loss: 3.9536 (4.0523)  time: 0.3793  data: 0.0001  max mem: 4478\n",
            "Epoch: [89] Total time: 0:01:12 (0.4414 s / it)\n",
            "Averaged stats: lr: 0.000012  loss: 3.9536 (4.0523)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.8211 (3.8211)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.8498  data: 3.5317  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0839 (3.1302)  acc1: 2.0833 (15.1515)  acc5: 46.8750 (51.7045)  time: 0.6120  data: 0.3914  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3131 (3.5054)  acc1: 0.0000 (8.5461)  acc5: 4.1667 (37.9364)  time: 0.4283  data: 0.2153  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4428 s / it)\n",
            "* Acc@1 8.546 Acc@5 37.936 loss 3.505\n",
            "Accuracy of the network on the 1919 test images: 8.5%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [90]  [  0/164]  eta: 0:10:42  lr: 0.000012  loss: 4.5227 (4.5227)  time: 3.9196  data: 3.0441  max mem: 4478\n",
            "Epoch: [90]  [ 10/164]  eta: 0:02:15  lr: 0.000012  loss: 4.0438 (4.0941)  time: 0.8787  data: 0.2786  max mem: 4478\n",
            "Epoch: [90]  [ 20/164]  eta: 0:01:34  lr: 0.000012  loss: 4.0266 (4.0753)  time: 0.4942  data: 0.0013  max mem: 4478\n",
            "Epoch: [90]  [ 30/164]  eta: 0:01:17  lr: 0.000012  loss: 4.0421 (4.0790)  time: 0.4092  data: 0.0004  max mem: 4478\n",
            "Epoch: [90]  [ 40/164]  eta: 0:01:06  lr: 0.000012  loss: 4.0815 (4.0853)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [ 50/164]  eta: 0:00:58  lr: 0.000012  loss: 4.0043 (4.0604)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [ 60/164]  eta: 0:00:51  lr: 0.000012  loss: 3.9769 (4.0882)  time: 0.4193  data: 0.0003  max mem: 4478\n",
            "Epoch: [90]  [ 70/164]  eta: 0:00:45  lr: 0.000012  loss: 4.0731 (4.0739)  time: 0.4174  data: 0.0003  max mem: 4478\n",
            "Epoch: [90]  [ 80/164]  eta: 0:00:40  lr: 0.000012  loss: 3.9364 (4.0623)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [ 90/164]  eta: 0:00:34  lr: 0.000012  loss: 4.0009 (4.0659)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [100/164]  eta: 0:00:29  lr: 0.000012  loss: 4.0441 (4.0612)  time: 0.4177  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [110/164]  eta: 0:00:24  lr: 0.000012  loss: 4.0351 (4.0557)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [120/164]  eta: 0:00:20  lr: 0.000012  loss: 4.0524 (4.0583)  time: 0.4088  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [130/164]  eta: 0:00:15  lr: 0.000012  loss: 4.0578 (4.0670)  time: 0.4087  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [140/164]  eta: 0:00:10  lr: 0.000012  loss: 4.0902 (4.0679)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [90]  [150/164]  eta: 0:00:06  lr: 0.000012  loss: 4.0275 (4.0615)  time: 0.4017  data: 0.0001  max mem: 4478\n",
            "Epoch: [90]  [160/164]  eta: 0:00:01  lr: 0.000012  loss: 3.9499 (4.0556)  time: 0.3844  data: 0.0001  max mem: 4478\n",
            "Epoch: [90]  [163/164]  eta: 0:00:00  lr: 0.000012  loss: 3.9499 (4.0560)  time: 0.3787  data: 0.0001  max mem: 4478\n",
            "Epoch: [90] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000012  loss: 3.9499 (4.0560)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8103 (3.8103)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5650  data: 3.3201  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1158 (3.1269)  acc1: 7.2917 (16.4773)  acc5: 46.8750 (51.7045)  time: 0.6078  data: 0.3933  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3229 (3.4988)  acc1: 0.0000 (9.0672)  acc5: 2.0833 (37.7280)  time: 0.4258  data: 0.2163  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4394 s / it)\n",
            "* Acc@1 9.067 Acc@5 37.728 loss 3.499\n",
            "Accuracy of the network on the 1919 test images: 9.1%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [91]  [  0/164]  eta: 0:12:16  lr: 0.000011  loss: 4.5345 (4.5345)  time: 4.4895  data: 3.7181  max mem: 4478\n",
            "Epoch: [91]  [ 10/164]  eta: 0:02:17  lr: 0.000011  loss: 4.0697 (4.0945)  time: 0.8946  data: 0.3400  max mem: 4478\n",
            "Epoch: [91]  [ 20/164]  eta: 0:01:36  lr: 0.000011  loss: 4.0555 (4.0813)  time: 0.4798  data: 0.0012  max mem: 4478\n",
            "Epoch: [91]  [ 30/164]  eta: 0:01:18  lr: 0.000011  loss: 4.0305 (4.0767)  time: 0.4170  data: 0.0001  max mem: 4478\n",
            "Epoch: [91]  [ 40/164]  eta: 0:01:07  lr: 0.000011  loss: 4.1330 (4.0836)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [ 50/164]  eta: 0:00:59  lr: 0.000011  loss: 3.9921 (4.0592)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [ 60/164]  eta: 0:00:52  lr: 0.000011  loss: 4.0093 (4.0902)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [ 70/164]  eta: 0:00:46  lr: 0.000011  loss: 4.0704 (4.0753)  time: 0.4164  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [ 80/164]  eta: 0:00:40  lr: 0.000011  loss: 3.9122 (4.0644)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [ 90/164]  eta: 0:00:35  lr: 0.000011  loss: 4.0323 (4.0686)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [100/164]  eta: 0:00:29  lr: 0.000011  loss: 4.0672 (4.0638)  time: 0.4172  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [110/164]  eta: 0:00:24  lr: 0.000011  loss: 4.0241 (4.0580)  time: 0.4169  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [120/164]  eta: 0:00:20  lr: 0.000011  loss: 4.0295 (4.0616)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [130/164]  eta: 0:00:15  lr: 0.000011  loss: 4.0777 (4.0691)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [140/164]  eta: 0:00:10  lr: 0.000011  loss: 4.0627 (4.0680)  time: 0.4176  data: 0.0002  max mem: 4478\n",
            "Epoch: [91]  [150/164]  eta: 0:00:06  lr: 0.000011  loss: 4.0071 (4.0619)  time: 0.4057  data: 0.0001  max mem: 4478\n",
            "Epoch: [91]  [160/164]  eta: 0:00:01  lr: 0.000011  loss: 3.9426 (4.0550)  time: 0.3844  data: 0.0001  max mem: 4478\n",
            "Epoch: [91]  [163/164]  eta: 0:00:00  lr: 0.000011  loss: 3.9426 (4.0548)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [91] Total time: 0:01:12 (0.4449 s / it)\n",
            "Averaged stats: lr: 0.000011  loss: 3.9426 (4.0548)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.8510 (3.8510)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4293  data: 3.1032  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.0800 (3.1280)  acc1: 6.2500 (15.3409)  acc5: 48.9583 (51.7992)  time: 0.5865  data: 0.3575  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3141 (3.4928)  acc1: 0.0000 (8.8067)  acc5: 6.2500 (38.4054)  time: 0.4147  data: 0.1979  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4273 s / it)\n",
            "* Acc@1 8.807 Acc@5 38.405 loss 3.493\n",
            "Accuracy of the network on the 1919 test images: 8.8%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [92]  [  0/164]  eta: 0:11:35  lr: 0.000011  loss: 4.5480 (4.5480)  time: 4.2412  data: 3.5186  max mem: 4478\n",
            "Epoch: [92]  [ 10/164]  eta: 0:02:15  lr: 0.000011  loss: 4.0579 (4.1028)  time: 0.8796  data: 0.3218  max mem: 4478\n",
            "Epoch: [92]  [ 20/164]  eta: 0:01:34  lr: 0.000011  loss: 4.0312 (4.0844)  time: 0.4778  data: 0.0012  max mem: 4478\n",
            "Epoch: [92]  [ 30/164]  eta: 0:01:17  lr: 0.000011  loss: 4.0364 (4.0791)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 40/164]  eta: 0:01:06  lr: 0.000011  loss: 4.0922 (4.0852)  time: 0.4069  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 50/164]  eta: 0:00:58  lr: 0.000011  loss: 3.9935 (4.0603)  time: 0.4094  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 60/164]  eta: 0:00:51  lr: 0.000011  loss: 3.9935 (4.0903)  time: 0.4089  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 70/164]  eta: 0:00:45  lr: 0.000011  loss: 4.0905 (4.0774)  time: 0.4083  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 80/164]  eta: 0:00:39  lr: 0.000011  loss: 3.9416 (4.0651)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [ 90/164]  eta: 0:00:34  lr: 0.000011  loss: 4.0030 (4.0692)  time: 0.4179  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [100/164]  eta: 0:00:29  lr: 0.000011  loss: 4.0432 (4.0663)  time: 0.4120  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [110/164]  eta: 0:00:24  lr: 0.000011  loss: 4.0247 (4.0596)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [120/164]  eta: 0:00:19  lr: 0.000011  loss: 4.0247 (4.0627)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [130/164]  eta: 0:00:15  lr: 0.000011  loss: 4.0865 (4.0705)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [140/164]  eta: 0:00:10  lr: 0.000011  loss: 4.0676 (4.0705)  time: 0.4080  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [150/164]  eta: 0:00:06  lr: 0.000011  loss: 4.0064 (4.0632)  time: 0.3974  data: 0.0002  max mem: 4478\n",
            "Epoch: [92]  [160/164]  eta: 0:00:01  lr: 0.000011  loss: 3.9386 (4.0576)  time: 0.3848  data: 0.0001  max mem: 4478\n",
            "Epoch: [92]  [163/164]  eta: 0:00:00  lr: 0.000011  loss: 3.9386 (4.0580)  time: 0.3794  data: 0.0001  max mem: 4478\n",
            "Epoch: [92] Total time: 0:01:12 (0.4405 s / it)\n",
            "Averaged stats: lr: 0.000011  loss: 3.9386 (4.0580)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.8228 (3.8228)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.9458  data: 3.6336  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0936 (3.1196)  acc1: 4.1667 (15.2462)  acc5: 52.0833 (52.1780)  time: 0.6033  data: 0.3818  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2898 (3.5109)  acc1: 0.0000 (8.6503)  acc5: 2.0833 (37.8322)  time: 0.4237  data: 0.2100  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4380 s / it)\n",
            "* Acc@1 8.650 Acc@5 37.832 loss 3.511\n",
            "Accuracy of the network on the 1919 test images: 8.7%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [93]  [  0/164]  eta: 0:10:30  lr: 0.000011  loss: 4.5347 (4.5347)  time: 3.8459  data: 2.9979  max mem: 4478\n",
            "Epoch: [93]  [ 10/164]  eta: 0:02:13  lr: 0.000011  loss: 4.0913 (4.1030)  time: 0.8661  data: 0.2762  max mem: 4478\n",
            "Epoch: [93]  [ 20/164]  eta: 0:01:33  lr: 0.000011  loss: 4.0218 (4.0844)  time: 0.4874  data: 0.0021  max mem: 4478\n",
            "Epoch: [93]  [ 30/164]  eta: 0:01:16  lr: 0.000011  loss: 4.0338 (4.0761)  time: 0.4112  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 40/164]  eta: 0:01:05  lr: 0.000011  loss: 4.0828 (4.0831)  time: 0.4111  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 50/164]  eta: 0:00:57  lr: 0.000011  loss: 3.9863 (4.0589)  time: 0.4085  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 60/164]  eta: 0:00:51  lr: 0.000011  loss: 4.0134 (4.0901)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 70/164]  eta: 0:00:45  lr: 0.000011  loss: 4.0579 (4.0748)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 80/164]  eta: 0:00:39  lr: 0.000011  loss: 3.9462 (4.0644)  time: 0.4165  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [ 90/164]  eta: 0:00:34  lr: 0.000011  loss: 4.0097 (4.0672)  time: 0.4216  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [100/164]  eta: 0:00:29  lr: 0.000011  loss: 4.0566 (4.0647)  time: 0.4270  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [110/164]  eta: 0:00:24  lr: 0.000011  loss: 4.0335 (4.0584)  time: 0.4201  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [120/164]  eta: 0:00:20  lr: 0.000011  loss: 4.0578 (4.0623)  time: 0.4167  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [130/164]  eta: 0:00:15  lr: 0.000011  loss: 4.0934 (4.0707)  time: 0.4133  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [140/164]  eta: 0:00:10  lr: 0.000011  loss: 4.0469 (4.0693)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [93]  [150/164]  eta: 0:00:06  lr: 0.000011  loss: 4.0077 (4.0628)  time: 0.4025  data: 0.0001  max mem: 4478\n",
            "Epoch: [93]  [160/164]  eta: 0:00:01  lr: 0.000011  loss: 3.9496 (4.0561)  time: 0.3847  data: 0.0001  max mem: 4478\n",
            "Epoch: [93]  [163/164]  eta: 0:00:00  lr: 0.000011  loss: 3.9496 (4.0564)  time: 0.3793  data: 0.0001  max mem: 4478\n",
            "Epoch: [93] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000011  loss: 3.9496 (4.0564)\n",
            "Test:  [ 0/20]  eta: 0:01:31  loss: 3.8000 (3.8000)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.5557  data: 4.2802  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.1075 (3.1244)  acc1: 7.2917 (16.0038)  acc5: 60.4167 (53.5985)  time: 0.6245  data: 0.4098  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2952 (3.4997)  acc1: 0.0000 (8.9109)  acc5: 19.7917 (38.6139)  time: 0.4351  data: 0.2254  max mem: 4478\n",
            "Test: Total time: 0:00:09 (0.4519 s / it)\n",
            "* Acc@1 8.911 Acc@5 38.614 loss 3.500\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [94]  [  0/164]  eta: 0:10:23  lr: 0.000011  loss: 4.4946 (4.4946)  time: 3.8030  data: 2.9862  max mem: 4478\n",
            "Epoch: [94]  [ 10/164]  eta: 0:02:14  lr: 0.000011  loss: 4.0415 (4.0931)  time: 0.8730  data: 0.2748  max mem: 4478\n",
            "Epoch: [94]  [ 20/164]  eta: 0:01:34  lr: 0.000011  loss: 4.0378 (4.0822)  time: 0.4993  data: 0.0019  max mem: 4478\n",
            "Epoch: [94]  [ 30/164]  eta: 0:01:17  lr: 0.000011  loss: 4.0378 (4.0761)  time: 0.4179  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [ 40/164]  eta: 0:01:06  lr: 0.000011  loss: 4.0996 (4.0801)  time: 0.4157  data: 0.0004  max mem: 4478\n",
            "Epoch: [94]  [ 50/164]  eta: 0:00:58  lr: 0.000011  loss: 4.0064 (4.0560)  time: 0.4161  data: 0.0004  max mem: 4478\n",
            "Epoch: [94]  [ 60/164]  eta: 0:00:51  lr: 0.000011  loss: 4.0074 (4.0844)  time: 0.4179  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [ 70/164]  eta: 0:00:45  lr: 0.000011  loss: 4.0452 (4.0709)  time: 0.4211  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [ 80/164]  eta: 0:00:40  lr: 0.000011  loss: 3.9383 (4.0609)  time: 0.4170  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [ 90/164]  eta: 0:00:34  lr: 0.000011  loss: 4.0205 (4.0660)  time: 0.4125  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [100/164]  eta: 0:00:29  lr: 0.000011  loss: 4.0854 (4.0616)  time: 0.4160  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [110/164]  eta: 0:00:24  lr: 0.000011  loss: 4.0214 (4.0558)  time: 0.4117  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [120/164]  eta: 0:00:20  lr: 0.000011  loss: 4.0258 (4.0580)  time: 0.4095  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [130/164]  eta: 0:00:15  lr: 0.000011  loss: 4.0966 (4.0678)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [140/164]  eta: 0:00:10  lr: 0.000011  loss: 4.0966 (4.0677)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [94]  [150/164]  eta: 0:00:06  lr: 0.000011  loss: 4.0018 (4.0618)  time: 0.4032  data: 0.0001  max mem: 4478\n",
            "Epoch: [94]  [160/164]  eta: 0:00:01  lr: 0.000011  loss: 3.9429 (4.0554)  time: 0.3846  data: 0.0001  max mem: 4478\n",
            "Epoch: [94]  [163/164]  eta: 0:00:00  lr: 0.000011  loss: 3.9429 (4.0554)  time: 0.3784  data: 0.0001  max mem: 4478\n",
            "Epoch: [94] Total time: 0:01:12 (0.4431 s / it)\n",
            "Averaged stats: lr: 0.000011  loss: 3.9429 (4.0554)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.8111 (3.8111)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.5642  data: 3.2450  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1080 (3.1253)  acc1: 7.2917 (15.8144)  acc5: 54.1667 (53.1250)  time: 0.5896  data: 0.3731  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3024 (3.5019)  acc1: 0.0000 (8.9630)  acc5: 12.5000 (38.1970)  time: 0.4219  data: 0.2117  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4351 s / it)\n",
            "* Acc@1 8.963 Acc@5 38.197 loss 3.502\n",
            "Accuracy of the network on the 1919 test images: 9.0%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [95]  [  0/164]  eta: 0:10:24  lr: 0.000010  loss: 4.5833 (4.5833)  time: 3.8067  data: 2.9836  max mem: 4478\n",
            "Epoch: [95]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 4.0409 (4.0935)  time: 0.8645  data: 0.2729  max mem: 4478\n",
            "Epoch: [95]  [ 20/164]  eta: 0:01:32  lr: 0.000010  loss: 4.0409 (4.0822)  time: 0.4873  data: 0.0010  max mem: 4478\n",
            "Epoch: [95]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 4.0666 (4.0775)  time: 0.4062  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 4.1019 (4.0839)  time: 0.4080  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.9974 (4.0611)  time: 0.4102  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.9901 (4.0881)  time: 0.4123  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 4.0529 (4.0718)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.9327 (4.0611)  time: 0.4154  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 4.0201 (4.0641)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 4.0554 (4.0594)  time: 0.4141  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 4.0156 (4.0528)  time: 0.4142  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 4.0617 (4.0564)  time: 0.4115  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 4.1211 (4.0653)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 4.0963 (4.0659)  time: 0.4109  data: 0.0002  max mem: 4478\n",
            "Epoch: [95]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.9967 (4.0591)  time: 0.4003  data: 0.0001  max mem: 4478\n",
            "Epoch: [95]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.9552 (4.0527)  time: 0.3839  data: 0.0001  max mem: 4478\n",
            "Epoch: [95]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.9552 (4.0530)  time: 0.3788  data: 0.0001  max mem: 4478\n",
            "Epoch: [95] Total time: 0:01:12 (0.4398 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.9552 (4.0530)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.8293 (3.8293)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.7592  data: 3.4964  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0876 (3.1212)  acc1: 2.0833 (14.4886)  acc5: 48.9583 (51.7992)  time: 0.6115  data: 0.3902  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2793 (3.4903)  acc1: 0.0000 (8.9109)  acc5: 4.1667 (38.0928)  time: 0.4279  data: 0.2146  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4424 s / it)\n",
            "* Acc@1 8.911 Acc@5 38.093 loss 3.490\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [96]  [  0/164]  eta: 0:10:29  lr: 0.000010  loss: 4.4878 (4.4878)  time: 3.8386  data: 2.9810  max mem: 4478\n",
            "Epoch: [96]  [ 10/164]  eta: 0:02:11  lr: 0.000010  loss: 4.0562 (4.0871)  time: 0.8547  data: 0.2725  max mem: 4478\n",
            "Epoch: [96]  [ 20/164]  eta: 0:01:32  lr: 0.000010  loss: 4.0145 (4.0725)  time: 0.4839  data: 0.0009  max mem: 4478\n",
            "Epoch: [96]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 4.0197 (4.0724)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 4.0663 (4.0749)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.9707 (4.0527)  time: 0.4129  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.9634 (4.0828)  time: 0.4114  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 4.0638 (4.0704)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.9546 (4.0613)  time: 0.4140  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 4.0021 (4.0659)  time: 0.4146  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 4.0510 (4.0621)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 4.0402 (4.0565)  time: 0.4091  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 4.0228 (4.0588)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 4.1057 (4.0668)  time: 0.4126  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 4.0630 (4.0673)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [96]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 4.0414 (4.0616)  time: 0.3987  data: 0.0001  max mem: 4478\n",
            "Epoch: [96]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.9472 (4.0546)  time: 0.3827  data: 0.0001  max mem: 4478\n",
            "Epoch: [96]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.9472 (4.0546)  time: 0.3781  data: 0.0001  max mem: 4478\n",
            "Epoch: [96] Total time: 0:01:12 (0.4391 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.9472 (4.0546)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.8136 (3.8136)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.4149  data: 3.1378  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1097 (3.1206)  acc1: 9.3750 (16.4773)  acc5: 58.3333 (53.1250)  time: 0.5886  data: 0.3734  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3044 (3.4827)  acc1: 0.0000 (9.2236)  acc5: 19.7917 (38.7181)  time: 0.4191  data: 0.2095  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4329 s / it)\n",
            "* Acc@1 9.224 Acc@5 38.718 loss 3.483\n",
            "Accuracy of the network on the 1919 test images: 9.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [97]  [  0/164]  eta: 0:11:41  lr: 0.000010  loss: 4.5193 (4.5193)  time: 4.2804  data: 3.4545  max mem: 4478\n",
            "Epoch: [97]  [ 10/164]  eta: 0:02:20  lr: 0.000010  loss: 4.0231 (4.0813)  time: 0.9116  data: 0.3154  max mem: 4478\n",
            "Epoch: [97]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 4.0031 (4.0668)  time: 0.4913  data: 0.0010  max mem: 4478\n",
            "Epoch: [97]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 4.0023 (4.0587)  time: 0.4101  data: 0.0003  max mem: 4478\n",
            "Epoch: [97]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 4.0889 (4.0680)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.9900 (4.0482)  time: 0.4149  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 4.0287 (4.0816)  time: 0.4144  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [ 70/164]  eta: 0:00:46  lr: 0.000010  loss: 4.0428 (4.0666)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.9306 (4.0546)  time: 0.4113  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.9740 (4.0596)  time: 0.4122  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 4.0583 (4.0566)  time: 0.4136  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 4.0235 (4.0493)  time: 0.4151  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 4.0561 (4.0530)  time: 0.4150  data: 0.0002  max mem: 4478\n",
            "Epoch: [97]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 4.0865 (4.0618)  time: 0.4127  data: 0.0003  max mem: 4478\n",
            "Epoch: [97]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 4.0674 (4.0620)  time: 0.4129  data: 0.0003  max mem: 4478\n",
            "Epoch: [97]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 4.0044 (4.0541)  time: 0.4006  data: 0.0001  max mem: 4478\n",
            "Epoch: [97]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.9442 (4.0485)  time: 0.3818  data: 0.0001  max mem: 4478\n",
            "Epoch: [97]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.9442 (4.0485)  time: 0.3771  data: 0.0001  max mem: 4478\n",
            "Epoch: [97] Total time: 0:01:12 (0.4435 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.9442 (4.0485)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.8785 (3.8785)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 3.6767  data: 3.4034  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0797 (3.1181)  acc1: 4.1667 (16.0985)  acc5: 55.2083 (52.6515)  time: 0.6073  data: 0.3842  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2789 (3.4873)  acc1: 0.0000 (8.8588)  acc5: 12.5000 (39.4476)  time: 0.4255  data: 0.2114  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4401 s / it)\n",
            "* Acc@1 8.859 Acc@5 39.448 loss 3.487\n",
            "Accuracy of the network on the 1919 test images: 8.9%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [98]  [  0/164]  eta: 0:12:39  lr: 0.000010  loss: 4.5570 (4.5570)  time: 4.6307  data: 3.8719  max mem: 4478\n",
            "Epoch: [98]  [ 10/164]  eta: 0:02:20  lr: 0.000010  loss: 4.0728 (4.0968)  time: 0.9092  data: 0.3549  max mem: 4478\n",
            "Epoch: [98]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 4.0390 (4.0758)  time: 0.4731  data: 0.0017  max mem: 4478\n",
            "Epoch: [98]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 4.0390 (4.0659)  time: 0.4110  data: 0.0007  max mem: 4478\n",
            "Epoch: [98]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 4.0573 (4.0756)  time: 0.4125  data: 0.0007  max mem: 4478\n",
            "Epoch: [98]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.9970 (4.0529)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.9931 (4.0845)  time: 0.4137  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [ 70/164]  eta: 0:00:46  lr: 0.000010  loss: 4.0347 (4.0713)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.9394 (4.0616)  time: 0.4121  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 4.0115 (4.0664)  time: 0.4134  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 4.0569 (4.0625)  time: 0.4156  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 4.0367 (4.0549)  time: 0.4147  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 4.0404 (4.0573)  time: 0.4118  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 4.0431 (4.0648)  time: 0.4139  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 4.0757 (4.0661)  time: 0.4145  data: 0.0002  max mem: 4478\n",
            "Epoch: [98]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 4.0213 (4.0594)  time: 0.3986  data: 0.0001  max mem: 4478\n",
            "Epoch: [98]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.9515 (4.0533)  time: 0.3820  data: 0.0001  max mem: 4478\n",
            "Epoch: [98]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.9515 (4.0530)  time: 0.3783  data: 0.0001  max mem: 4478\n",
            "Epoch: [98] Total time: 0:01:12 (0.4439 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.9515 (4.0530)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.8189 (3.8189)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 3.5120  data: 3.2203  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 3.1276 (3.1289)  acc1: 5.2083 (16.6667)  acc5: 48.9583 (51.9886)  time: 0.5896  data: 0.3760  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.3320 (3.4930)  acc1: 0.0000 (9.1714)  acc5: 11.4583 (38.6660)  time: 0.4184  data: 0.2096  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4330 s / it)\n",
            "* Acc@1 9.171 Acc@5 38.666 loss 3.493\n",
            "Accuracy of the network on the 1919 test images: 9.2%\n",
            "Max accuracy: 9.38%\n",
            "Epoch: [99]  [  0/164]  eta: 0:10:47  lr: 0.000010  loss: 4.5233 (4.5233)  time: 3.9483  data: 3.1179  max mem: 4478\n",
            "Epoch: [99]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 4.0068 (4.0809)  time: 0.8834  data: 0.2885  max mem: 4478\n",
            "Epoch: [99]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 4.0111 (4.0672)  time: 0.4927  data: 0.0028  max mem: 4478\n",
            "Epoch: [99]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 4.0382 (4.0671)  time: 0.4080  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 4.0756 (4.0722)  time: 0.4092  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 4.0114 (4.0483)  time: 0.4100  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.9903 (4.0762)  time: 0.4130  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 4.0432 (4.0626)  time: 0.4175  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.9742 (4.0526)  time: 0.4143  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 4.0199 (4.0566)  time: 0.4127  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 4.0623 (4.0532)  time: 0.4138  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 4.0356 (4.0479)  time: 0.4105  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 4.0372 (4.0512)  time: 0.4098  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 4.1167 (4.0586)  time: 0.4096  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 4.0902 (4.0601)  time: 0.4116  data: 0.0002  max mem: 4478\n",
            "Epoch: [99]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 4.0180 (4.0540)  time: 0.4025  data: 0.0001  max mem: 4478\n",
            "Epoch: [99]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.9222 (4.0481)  time: 0.3844  data: 0.0001  max mem: 4478\n",
            "Epoch: [99]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.9212 (4.0479)  time: 0.3796  data: 0.0001  max mem: 4478\n",
            "Epoch: [99] Total time: 0:01:12 (0.4413 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.9212 (4.0479)\n",
            "Test:  [ 0/20]  eta: 0:01:23  loss: 3.8222 (3.8222)  acc1: 0.0000 (0.0000)  acc5: 1.0417 (1.0417)  time: 4.1708  data: 3.8306  max mem: 4478\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0947 (3.1177)  acc1: 3.1250 (15.7197)  acc5: 56.2500 (53.2197)  time: 0.6102  data: 0.3860  max mem: 4478\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2952 (3.4795)  acc1: 0.0000 (9.2757)  acc5: 16.6667 (39.3434)  time: 0.4277  data: 0.2123  max mem: 4478\n",
            "Test: Total time: 0:00:08 (0.4413 s / it)\n",
            "* Acc@1 9.276 Acc@5 39.343 loss 3.479\n",
            "Accuracy of the network on the 1919 test images: 9.3%\n",
            "Max accuracy: 9.38%\n",
            "Training time 2:17:15\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eWUs6N-WKhog",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "be7c2bf4-c4d4-442c-c6fb-7d0634fdcaa2"
      },
      "source": [
        "!python main.py --model deit_small_patch16_224 --batch-size 64 --epochs 200 --resume /content/deit/output/checkpoint.pth --output_dir /content/deit/output --data-path /content/boneage-dataset-deit --mixup 0 --cutmix 0 --mixup-prob 0 --mixup-switch-prob 0 --smoothing 0"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Not using distributed mode\n",
            "Namespace(aa='rand-m9-mstd0.5-inc1', batch_size=64, clip_grad=None, color_jitter=0.4, cooldown_epochs=10, cutmix=0.0, cutmix_minmax=None, data_path='/content/boneage-dataset-deit', data_set='IMNET', decay_epochs=30, decay_rate=0.1, device='cuda', dist_eval=False, dist_url='env://', distillation_alpha=0.5, distillation_tau=1.0, distillation_type='none', distributed=False, drop=0.0, drop_path=0.1, epochs=200, eval=False, inat_category='name', input_size=224, lr=0.0005, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, min_lr=1e-05, mixup=0.0, mixup_mode='batch', mixup_prob=0.0, mixup_switch_prob=0.0, model='deit_small_patch16_224', model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, momentum=0.9, num_workers=10, opt='adamw', opt_betas=None, opt_eps=1e-08, output_dir='/content/deit/output', patience_epochs=10, pin_mem=True, recount=1, remode='pixel', repeated_aug=True, reprob=0.25, resplit=False, resume='/content/deit/output/checkpoint.pth', sched='cosine', seed=0, smoothing=0.0, start_epoch=0, teacher_model='regnety_160', teacher_path='', train_interpolation='bicubic', warmup_epochs=5, warmup_lr=1e-06, weight_decay=0.05, world_size=1)\n",
            "Creating model: deit_small_patch16_224\n",
            "number of params: 22050664\n",
            "Failed to find state_dict_ema, starting from loaded model weights\n",
            "Start training\n",
            "Epoch: [100]  [  0/164]  eta: 0:17:30  lr: 0.000010  loss: 4.0617 (4.0617)  time: 6.4048  data: 4.8759  max mem: 4382\n",
            "Epoch: [100]  [ 10/164]  eta: 0:02:30  lr: 0.000010  loss: 3.4781 (3.5356)  time: 0.9757  data: 0.4436  max mem: 4467\n",
            "Epoch: [100]  [ 20/164]  eta: 0:01:40  lr: 0.000010  loss: 3.4257 (3.4981)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [100]  [ 30/164]  eta: 0:01:20  lr: 0.000010  loss: 3.4178 (3.4749)  time: 0.3954  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [ 40/164]  eta: 0:01:08  lr: 0.000010  loss: 3.4415 (3.4732)  time: 0.3982  data: 0.0006  max mem: 4467\n",
            "Epoch: [100]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.3605 (3.4453)  time: 0.3966  data: 0.0006  max mem: 4467\n",
            "Epoch: [100]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.3418 (3.4714)  time: 0.3945  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3908 (3.4539)  time: 0.3940  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2889 (3.4384)  time: 0.3955  data: 0.0002  max mem: 4467\n",
            "Epoch: [100]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3604 (3.4382)  time: 0.3980  data: 0.0002  max mem: 4467\n",
            "Epoch: [100]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3892 (3.4322)  time: 0.4031  data: 0.0009  max mem: 4467\n",
            "Epoch: [100]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3586 (3.4230)  time: 0.4041  data: 0.0009  max mem: 4467\n",
            "Epoch: [100]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3765 (3.4239)  time: 0.4038  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.4234 (3.4292)  time: 0.4125  data: 0.0003  max mem: 4467\n",
            "Epoch: [100]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.4009 (3.4282)  time: 0.4106  data: 0.0003  max mem: 4467\n",
            "Epoch: [100]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3626 (3.4205)  time: 0.3902  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.3129 (3.4122)  time: 0.3744  data: 0.0001  max mem: 4467\n",
            "Epoch: [100]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2909 (3.4122)  time: 0.3699  data: 0.0001  max mem: 4467\n",
            "Epoch: [100] Total time: 0:01:11 (0.4373 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2909 (3.4122)\n",
            "Test:  [ 0/20]  eta: 0:01:37  loss: 3.8001 (3.8001)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.8779  data: 3.7490  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:07  loss: 3.0406 (3.0467)  acc1: 12.5000 (16.0038)  acc5: 52.0833 (52.7462)  time: 0.7045  data: 0.3968  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2358 (3.3678)  acc1: 3.1250 (10.6305)  acc5: 30.2083 (41.4799)  time: 0.4808  data: 0.2195  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4979 s / it)\n",
            "* Acc@1 10.631 Acc@5 41.480 loss 3.368\n",
            "Accuracy of the network on the 1919 test images: 10.6%\n",
            "Max accuracy: 10.63%\n",
            "Epoch: [101]  [  0/164]  eta: 0:12:23  lr: 0.000010  loss: 4.0269 (4.0269)  time: 4.5330  data: 3.6335  max mem: 4467\n",
            "Epoch: [101]  [ 10/164]  eta: 0:02:19  lr: 0.000010  loss: 3.3590 (3.4529)  time: 0.9041  data: 0.3326  max mem: 4467\n",
            "Epoch: [101]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.3452 (3.4278)  time: 0.4755  data: 0.0013  max mem: 4467\n",
            "Epoch: [101]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3448 (3.4112)  time: 0.4094  data: 0.0001  max mem: 4467\n",
            "Epoch: [101]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3685 (3.4126)  time: 0.4113  data: 0.0006  max mem: 4467\n",
            "Epoch: [101]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.3178 (3.3914)  time: 0.4126  data: 0.0006  max mem: 4467\n",
            "Epoch: [101]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.3226 (3.4218)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3507 (3.4052)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2924 (3.3936)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3055 (3.3955)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3770 (3.3924)  time: 0.4177  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3693 (3.3852)  time: 0.4138  data: 0.0004  max mem: 4467\n",
            "Epoch: [101]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3381 (3.3889)  time: 0.4130  data: 0.0004  max mem: 4467\n",
            "Epoch: [101]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3510 (3.3949)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3915 (3.3938)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [101]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3295 (3.3862)  time: 0.4021  data: 0.0001  max mem: 4467\n",
            "Epoch: [101]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2634 (3.3787)  time: 0.3834  data: 0.0001  max mem: 4467\n",
            "Epoch: [101]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2634 (3.3791)  time: 0.3778  data: 0.0001  max mem: 4467\n",
            "Epoch: [101] Total time: 0:01:12 (0.4438 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2634 (3.3791)\n",
            "Test:  [ 0/20]  eta: 0:01:27  loss: 3.7708 (3.7708)  acc1: 0.0000 (0.0000)  acc5: 2.0833 (2.0833)  time: 4.3684  data: 4.1089  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9892 (3.0260)  acc1: 10.4167 (13.9205)  acc5: 54.1667 (52.5568)  time: 0.6583  data: 0.4479  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2313 (3.3685)  acc1: 2.0833 (9.4841)  acc5: 21.8750 (40.7504)  time: 0.4534  data: 0.2464  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4698 s / it)\n",
            "* Acc@1 9.484 Acc@5 40.750 loss 3.369\n",
            "Accuracy of the network on the 1919 test images: 9.5%\n",
            "Max accuracy: 10.63%\n",
            "Epoch: [102]  [  0/164]  eta: 0:11:00  lr: 0.000010  loss: 4.0265 (4.0265)  time: 4.0267  data: 3.1816  max mem: 4467\n",
            "Epoch: [102]  [ 10/164]  eta: 0:02:18  lr: 0.000010  loss: 3.3878 (3.4465)  time: 0.8962  data: 0.2923  max mem: 4467\n",
            "Epoch: [102]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3727 (3.4129)  time: 0.4978  data: 0.0021  max mem: 4467\n",
            "Epoch: [102]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3727 (3.4013)  time: 0.4111  data: 0.0005  max mem: 4467\n",
            "Epoch: [102]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3981 (3.4124)  time: 0.4095  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2806 (3.3890)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.3287 (3.4226)  time: 0.4172  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3925 (3.4046)  time: 0.4179  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2736 (3.3897)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [ 90/164]  eta: 0:00:35  lr: 0.000010  loss: 3.3206 (3.3900)  time: 0.4186  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3645 (3.3861)  time: 0.4196  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3645 (3.3787)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3516 (3.3808)  time: 0.4159  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3823 (3.3860)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3895 (3.3855)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3242 (3.3789)  time: 0.3997  data: 0.0002  max mem: 4467\n",
            "Epoch: [102]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2369 (3.3721)  time: 0.3817  data: 0.0001  max mem: 4467\n",
            "Epoch: [102]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2369 (3.3722)  time: 0.3759  data: 0.0001  max mem: 4467\n",
            "Epoch: [102] Total time: 0:01:12 (0.4444 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2369 (3.3722)\n",
            "Test:  [ 0/20]  eta: 0:01:34  loss: 3.7617 (3.7617)  acc1: 0.0000 (0.0000)  acc5: 0.0000 (0.0000)  time: 4.7057  data: 4.3765  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:07  loss: 3.0049 (3.0212)  acc1: 10.4167 (15.6250)  acc5: 50.0000 (53.0303)  time: 0.7027  data: 0.4843  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2405 (3.3719)  acc1: 2.0833 (9.9010)  acc5: 21.8750 (40.7504)  time: 0.4776  data: 0.2664  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4942 s / it)\n",
            "* Acc@1 9.901 Acc@5 40.750 loss 3.372\n",
            "Accuracy of the network on the 1919 test images: 9.9%\n",
            "Max accuracy: 10.63%\n",
            "Epoch: [103]  [  0/164]  eta: 0:11:34  lr: 0.000010  loss: 3.9841 (3.9841)  time: 4.2358  data: 3.4240  max mem: 4467\n",
            "Epoch: [103]  [ 10/164]  eta: 0:02:19  lr: 0.000010  loss: 3.3666 (3.4185)  time: 0.9056  data: 0.3129  max mem: 4467\n",
            "Epoch: [103]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.3224 (3.4002)  time: 0.4934  data: 0.0013  max mem: 4467\n",
            "Epoch: [103]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3254 (3.3899)  time: 0.4093  data: 0.0009  max mem: 4467\n",
            "Epoch: [103]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3286 (3.3956)  time: 0.4080  data: 0.0007  max mem: 4467\n",
            "Epoch: [103]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2789 (3.3743)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.2910 (3.4048)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3818 (3.3889)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2667 (3.3783)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3740 (3.3833)  time: 0.4163  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.4048 (3.3798)  time: 0.4180  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3360 (3.3696)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3554 (3.3735)  time: 0.4195  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3597 (3.3787)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3799 (3.3779)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [103]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3302 (3.3708)  time: 0.3992  data: 0.0001  max mem: 4467\n",
            "Epoch: [103]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2390 (3.3631)  time: 0.3823  data: 0.0001  max mem: 4467\n",
            "Epoch: [103]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2390 (3.3638)  time: 0.3762  data: 0.0001  max mem: 4467\n",
            "Epoch: [103] Total time: 0:01:12 (0.4442 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2390 (3.3638)\n",
            "Test:  [ 0/20]  eta: 0:01:26  loss: 3.7524 (3.7524)  acc1: 0.0000 (0.0000)  acc5: 3.1250 (3.1250)  time: 4.3160  data: 4.0199  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9639 (3.0152)  acc1: 8.3333 (14.4886)  acc5: 55.2083 (53.2197)  time: 0.6571  data: 0.4397  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2314 (3.3742)  acc1: 0.0000 (9.9010)  acc5: 14.5833 (40.2814)  time: 0.4529  data: 0.2419  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4682 s / it)\n",
            "* Acc@1 9.901 Acc@5 40.281 loss 3.374\n",
            "Accuracy of the network on the 1919 test images: 9.9%\n",
            "Max accuracy: 10.63%\n",
            "Epoch: [104]  [  0/164]  eta: 0:10:52  lr: 0.000010  loss: 3.9749 (3.9749)  time: 3.9757  data: 3.2049  max mem: 4467\n",
            "Epoch: [104]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.3593 (3.4335)  time: 0.8954  data: 0.2944  max mem: 4467\n",
            "Epoch: [104]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.3422 (3.3942)  time: 0.5021  data: 0.0018  max mem: 4467\n",
            "Epoch: [104]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3422 (3.3763)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3874 (3.3869)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2569 (3.3669)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.3113 (3.4007)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3471 (3.3846)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2794 (3.3729)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3292 (3.3764)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.4002 (3.3713)  time: 0.4184  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3282 (3.3630)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3237 (3.3672)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.4327 (3.3735)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3638 (3.3732)  time: 0.4101  data: 0.0002  max mem: 4467\n",
            "Epoch: [104]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3283 (3.3669)  time: 0.3999  data: 0.0001  max mem: 4467\n",
            "Epoch: [104]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2287 (3.3595)  time: 0.3832  data: 0.0001  max mem: 4467\n",
            "Epoch: [104]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2287 (3.3594)  time: 0.3771  data: 0.0001  max mem: 4467\n",
            "Epoch: [104] Total time: 0:01:12 (0.4439 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2287 (3.3594)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.7522 (3.7522)  acc1: 0.0000 (0.0000)  acc5: 3.1250 (3.1250)  time: 3.8227  data: 3.5736  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0221 (3.0346)  acc1: 11.4583 (15.5303)  acc5: 59.3750 (52.6515)  time: 0.6333  data: 0.4199  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2398 (3.3392)  acc1: 3.1250 (11.0474)  acc5: 30.2083 (42.5221)  time: 0.4415  data: 0.2336  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4577 s / it)\n",
            "* Acc@1 11.047 Acc@5 42.522 loss 3.339\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [105]  [  0/164]  eta: 0:10:13  lr: 0.000010  loss: 4.0162 (4.0162)  time: 3.7437  data: 2.9478  max mem: 4467\n",
            "Epoch: [105]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.3472 (3.4248)  time: 0.8935  data: 0.2708  max mem: 4467\n",
            "Epoch: [105]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.3226 (3.3902)  time: 0.5141  data: 0.0016  max mem: 4467\n",
            "Epoch: [105]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3298 (3.3809)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3432 (3.3819)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2670 (3.3639)  time: 0.4134  data: 0.0004  max mem: 4467\n",
            "Epoch: [105]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.2917 (3.3974)  time: 0.4152  data: 0.0004  max mem: 4467\n",
            "Epoch: [105]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3662 (3.3811)  time: 0.4159  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2459 (3.3663)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2881 (3.3712)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3805 (3.3696)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3429 (3.3610)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3429 (3.3641)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.4066 (3.3700)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3551 (3.3685)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [105]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3089 (3.3624)  time: 0.3978  data: 0.0001  max mem: 4467\n",
            "Epoch: [105]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2135 (3.3529)  time: 0.3814  data: 0.0001  max mem: 4467\n",
            "Epoch: [105]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2135 (3.3536)  time: 0.3770  data: 0.0001  max mem: 4467\n",
            "Epoch: [105] Total time: 0:01:12 (0.4439 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2135 (3.3536)\n",
            "Test:  [ 0/20]  eta: 0:01:22  loss: 3.7582 (3.7582)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 4.1251  data: 3.8464  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9762 (3.0205)  acc1: 8.3333 (14.3939)  acc5: 56.2500 (51.2311)  time: 0.6395  data: 0.4209  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2299 (3.3371)  acc1: 4.1667 (10.4742)  acc5: 25.0000 (41.5320)  time: 0.4432  data: 0.2315  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4586 s / it)\n",
            "* Acc@1 10.474 Acc@5 41.532 loss 3.337\n",
            "Accuracy of the network on the 1919 test images: 10.5%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [106]  [  0/164]  eta: 0:10:35  lr: 0.000010  loss: 3.9896 (3.9896)  time: 3.8774  data: 3.0337  max mem: 4467\n",
            "Epoch: [106]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.3983 (3.4237)  time: 0.8854  data: 0.2809  max mem: 4467\n",
            "Epoch: [106]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3259 (3.3843)  time: 0.5046  data: 0.0035  max mem: 4467\n",
            "Epoch: [106]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3242 (3.3702)  time: 0.4174  data: 0.0007  max mem: 4467\n",
            "Epoch: [106]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3585 (3.3781)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2797 (3.3587)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2797 (3.3919)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3230 (3.3775)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2485 (3.3635)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2682 (3.3623)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3361 (3.3569)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3196 (3.3503)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3303 (3.3546)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3736 (3.3601)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3475 (3.3590)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [106]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2716 (3.3523)  time: 0.3998  data: 0.0001  max mem: 4467\n",
            "Epoch: [106]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2488 (3.3451)  time: 0.3832  data: 0.0001  max mem: 4467\n",
            "Epoch: [106]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2488 (3.3455)  time: 0.3784  data: 0.0001  max mem: 4467\n",
            "Epoch: [106] Total time: 0:01:12 (0.4421 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2488 (3.3455)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.7311 (3.7311)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.9996  data: 3.6484  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9817 (3.0222)  acc1: 8.3333 (13.9205)  acc5: 55.2083 (52.2727)  time: 0.6126  data: 0.3901  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2207 (3.3299)  acc1: 3.1250 (10.6305)  acc5: 27.0833 (42.2616)  time: 0.4283  data: 0.2146  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4433 s / it)\n",
            "* Acc@1 10.631 Acc@5 42.262 loss 3.330\n",
            "Accuracy of the network on the 1919 test images: 10.6%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [107]  [  0/164]  eta: 0:11:00  lr: 0.000010  loss: 4.0204 (4.0204)  time: 4.0246  data: 3.2144  max mem: 4467\n",
            "Epoch: [107]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.4088 (3.4233)  time: 0.8802  data: 0.2944  max mem: 4467\n",
            "Epoch: [107]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3469 (3.3895)  time: 0.4917  data: 0.0015  max mem: 4467\n",
            "Epoch: [107]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.3307 (3.3710)  time: 0.4151  data: 0.0004  max mem: 4467\n",
            "Epoch: [107]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3175 (3.3734)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2793 (3.3561)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2964 (3.3856)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3181 (3.3724)  time: 0.4101  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2238 (3.3604)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2917 (3.3606)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3544 (3.3579)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3450 (3.3510)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3291 (3.3559)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3291 (3.3631)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3427 (3.3628)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [107]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2811 (3.3565)  time: 0.4005  data: 0.0001  max mem: 4467\n",
            "Epoch: [107]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2082 (3.3484)  time: 0.3832  data: 0.0001  max mem: 4467\n",
            "Epoch: [107]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1981 (3.3483)  time: 0.3776  data: 0.0001  max mem: 4467\n",
            "Epoch: [107] Total time: 0:01:12 (0.4422 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1981 (3.3483)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.7081 (3.7081)  acc1: 0.0000 (0.0000)  acc5: 13.5417 (13.5417)  time: 3.8827  data: 3.5594  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9636 (3.0073)  acc1: 12.5000 (14.6780)  acc5: 56.2500 (54.5455)  time: 0.6438  data: 0.4146  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2213 (3.3291)  acc1: 3.1250 (10.5263)  acc5: 30.2083 (42.8869)  time: 0.4455  data: 0.2281  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4619 s / it)\n",
            "* Acc@1 10.526 Acc@5 42.887 loss 3.329\n",
            "Accuracy of the network on the 1919 test images: 10.5%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [108]  [  0/164]  eta: 0:11:16  lr: 0.000010  loss: 3.9911 (3.9911)  time: 4.1238  data: 3.3523  max mem: 4467\n",
            "Epoch: [108]  [ 10/164]  eta: 0:02:18  lr: 0.000010  loss: 3.3653 (3.4190)  time: 0.8964  data: 0.3067  max mem: 4467\n",
            "Epoch: [108]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3017 (3.3706)  time: 0.4920  data: 0.0012  max mem: 4467\n",
            "Epoch: [108]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.3017 (3.3490)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3541 (3.3599)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2931 (3.3466)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2694 (3.3808)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3954 (3.3667)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2423 (3.3531)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3185 (3.3575)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3789 (3.3534)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3335 (3.3462)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.3143 (3.3484)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3466 (3.3531)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3466 (3.3529)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [108]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2920 (3.3483)  time: 0.3999  data: 0.0001  max mem: 4467\n",
            "Epoch: [108]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2309 (3.3417)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [108]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2309 (3.3420)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [108] Total time: 0:01:12 (0.4420 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2309 (3.3420)\n",
            "Test:  [ 0/20]  eta: 0:01:06  loss: 3.7055 (3.7055)  acc1: 0.0000 (0.0000)  acc5: 13.5417 (13.5417)  time: 3.3317  data: 3.0480  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9791 (3.0078)  acc1: 16.6667 (16.3826)  acc5: 55.2083 (55.0189)  time: 0.5695  data: 0.3559  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2272 (3.3361)  acc1: 3.1250 (11.0474)  acc5: 30.2083 (42.7827)  time: 0.4146  data: 0.2064  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4298 s / it)\n",
            "* Acc@1 11.047 Acc@5 42.783 loss 3.336\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [109]  [  0/164]  eta: 0:10:28  lr: 0.000010  loss: 3.9997 (3.9997)  time: 3.8334  data: 3.0326  max mem: 4467\n",
            "Epoch: [109]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3804 (3.4129)  time: 0.8660  data: 0.2760  max mem: 4467\n",
            "Epoch: [109]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3505 (3.3745)  time: 0.4881  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 30/164]  eta: 0:01:15  lr: 0.000010  loss: 3.3367 (3.3679)  time: 0.4027  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3403 (3.3720)  time: 0.4032  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2947 (3.3498)  time: 0.4077  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 60/164]  eta: 0:00:50  lr: 0.000010  loss: 3.2629 (3.3818)  time: 0.4076  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 70/164]  eta: 0:00:44  lr: 0.000010  loss: 3.3480 (3.3681)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2551 (3.3567)  time: 0.4087  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2858 (3.3520)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3375 (3.3494)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3186 (3.3434)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3076 (3.3480)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3823 (3.3535)  time: 0.4089  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3307 (3.3525)  time: 0.4068  data: 0.0002  max mem: 4467\n",
            "Epoch: [109]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2847 (3.3461)  time: 0.3961  data: 0.0001  max mem: 4467\n",
            "Epoch: [109]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2535 (3.3387)  time: 0.3816  data: 0.0001  max mem: 4467\n",
            "Epoch: [109]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2529 (3.3387)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [109] Total time: 0:01:11 (0.4371 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2529 (3.3387)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.7104 (3.7104)  acc1: 0.0000 (0.0000)  acc5: 15.6250 (15.6250)  time: 3.9328  data: 3.6835  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9588 (3.0034)  acc1: 12.5000 (15.2462)  acc5: 54.1667 (54.6402)  time: 0.6591  data: 0.4493  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2136 (3.3249)  acc1: 3.1250 (10.9432)  acc5: 29.1667 (42.5743)  time: 0.4540  data: 0.2471  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4686 s / it)\n",
            "* Acc@1 10.943 Acc@5 42.574 loss 3.325\n",
            "Accuracy of the network on the 1919 test images: 10.9%\n",
            "Max accuracy: 11.05%\n",
            "Epoch: [110]  [  0/164]  eta: 0:11:09  lr: 0.000010  loss: 4.0072 (4.0072)  time: 4.0824  data: 3.3570  max mem: 4467\n",
            "Epoch: [110]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3407 (3.4034)  time: 0.8646  data: 0.3064  max mem: 4467\n",
            "Epoch: [110]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3234 (3.3850)  time: 0.4756  data: 0.0010  max mem: 4467\n",
            "Epoch: [110]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3234 (3.3583)  time: 0.4083  data: 0.0004  max mem: 4467\n",
            "Epoch: [110]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3646 (3.3694)  time: 0.4109  data: 0.0001  max mem: 4467\n",
            "Epoch: [110]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2956 (3.3454)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2640 (3.3750)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3402 (3.3639)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2831 (3.3528)  time: 0.4075  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2831 (3.3517)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3349 (3.3490)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2890 (3.3403)  time: 0.4103  data: 0.0001  max mem: 4467\n",
            "Epoch: [110]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3244 (3.3456)  time: 0.4103  data: 0.0001  max mem: 4467\n",
            "Epoch: [110]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.4053 (3.3506)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3253 (3.3493)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2935 (3.3432)  time: 0.3966  data: 0.0002  max mem: 4467\n",
            "Epoch: [110]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2489 (3.3375)  time: 0.3805  data: 0.0001  max mem: 4467\n",
            "Epoch: [110]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2374 (3.3373)  time: 0.3757  data: 0.0001  max mem: 4467\n",
            "Epoch: [110] Total time: 0:01:11 (0.4382 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2374 (3.3373)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.7049 (3.7049)  acc1: 0.0000 (0.0000)  acc5: 12.5000 (12.5000)  time: 3.5446  data: 3.2785  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9904 (3.0060)  acc1: 13.5417 (17.8030)  acc5: 54.1667 (55.0189)  time: 0.5989  data: 0.3826  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2640 (3.3319)  acc1: 6.2500 (11.4643)  acc5: 29.4737 (43.1996)  time: 0.4211  data: 0.2104  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4373 s / it)\n",
            "* Acc@1 11.464 Acc@5 43.200 loss 3.332\n",
            "Accuracy of the network on the 1919 test images: 11.5%\n",
            "Max accuracy: 11.46%\n",
            "Epoch: [111]  [  0/164]  eta: 0:10:19  lr: 0.000010  loss: 4.0139 (4.0139)  time: 3.7763  data: 2.9561  max mem: 4467\n",
            "Epoch: [111]  [ 10/164]  eta: 0:02:11  lr: 0.000010  loss: 3.3618 (3.4230)  time: 0.8571  data: 0.2735  max mem: 4467\n",
            "Epoch: [111]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3275 (3.3912)  time: 0.4895  data: 0.0027  max mem: 4467\n",
            "Epoch: [111]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3275 (3.3633)  time: 0.4096  data: 0.0001  max mem: 4467\n",
            "Epoch: [111]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3383 (3.3689)  time: 0.4058  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2836 (3.3444)  time: 0.4074  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [ 60/164]  eta: 0:00:50  lr: 0.000010  loss: 3.2482 (3.3779)  time: 0.4072  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [ 70/164]  eta: 0:00:44  lr: 0.000010  loss: 3.3363 (3.3623)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2384 (3.3483)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3353 (3.3515)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3585 (3.3461)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2814 (3.3386)  time: 0.4117  data: 0.0004  max mem: 4467\n",
            "Epoch: [111]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3379 (3.3453)  time: 0.4111  data: 0.0004  max mem: 4467\n",
            "Epoch: [111]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3429 (3.3508)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3559 (3.3521)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [111]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.3140 (3.3450)  time: 0.3953  data: 0.0001  max mem: 4467\n",
            "Epoch: [111]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2207 (3.3370)  time: 0.3799  data: 0.0001  max mem: 4467\n",
            "Epoch: [111]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2207 (3.3371)  time: 0.3758  data: 0.0001  max mem: 4467\n",
            "Epoch: [111] Total time: 0:01:11 (0.4381 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2207 (3.3371)\n",
            "Test:  [ 0/20]  eta: 0:01:30  loss: 3.7323 (3.7323)  acc1: 0.0000 (0.0000)  acc5: 11.4583 (11.4583)  time: 4.5284  data: 4.2001  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9732 (3.0161)  acc1: 10.4167 (14.8674)  acc5: 57.2917 (53.9773)  time: 0.6191  data: 0.4021  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2283 (3.3156)  acc1: 6.2500 (10.5784)  acc5: 28.1250 (43.7728)  time: 0.4316  data: 0.2212  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4464 s / it)\n",
            "* Acc@1 10.578 Acc@5 43.773 loss 3.316\n",
            "Accuracy of the network on the 1919 test images: 10.6%\n",
            "Max accuracy: 11.46%\n",
            "Epoch: [112]  [  0/164]  eta: 0:09:42  lr: 0.000010  loss: 3.9924 (3.9924)  time: 3.5548  data: 2.7699  max mem: 4467\n",
            "Epoch: [112]  [ 10/164]  eta: 0:02:10  lr: 0.000010  loss: 3.3361 (3.4083)  time: 0.8485  data: 0.2661  max mem: 4467\n",
            "Epoch: [112]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2945 (3.3680)  time: 0.5008  data: 0.0082  max mem: 4467\n",
            "Epoch: [112]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3155 (3.3411)  time: 0.4163  data: 0.0006  max mem: 4467\n",
            "Epoch: [112]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3241 (3.3462)  time: 0.4109  data: 0.0004  max mem: 4467\n",
            "Epoch: [112]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2761 (3.3295)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [112]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.3064 (3.3630)  time: 0.4080  data: 0.0003  max mem: 4467\n",
            "Epoch: [112]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3425 (3.3534)  time: 0.4103  data: 0.0003  max mem: 4467\n",
            "Epoch: [112]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2641 (3.3439)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [112]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3010 (3.3470)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [112]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3124 (3.3417)  time: 0.4127  data: 0.0007  max mem: 4467\n",
            "Epoch: [112]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2622 (3.3333)  time: 0.4148  data: 0.0007  max mem: 4467\n",
            "Epoch: [112]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2622 (3.3383)  time: 0.4117  data: 0.0001  max mem: 4467\n",
            "Epoch: [112]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3806 (3.3415)  time: 0.4078  data: 0.0002  max mem: 4467\n",
            "Epoch: [112]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3627 (3.3427)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [112]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2807 (3.3377)  time: 0.3964  data: 0.0001  max mem: 4467\n",
            "Epoch: [112]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2114 (3.3304)  time: 0.3816  data: 0.0001  max mem: 4467\n",
            "Epoch: [112]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2114 (3.3305)  time: 0.3766  data: 0.0001  max mem: 4467\n",
            "Epoch: [112] Total time: 0:01:11 (0.4382 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2114 (3.3305)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.6747 (3.6747)  acc1: 0.0000 (0.0000)  acc5: 15.6250 (15.6250)  time: 3.5390  data: 3.2556  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 3.0010 (3.0031)  acc1: 13.5417 (17.2348)  acc5: 56.2500 (55.8712)  time: 0.6088  data: 0.3970  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2270 (3.3330)  acc1: 7.2917 (11.1516)  acc5: 34.3750 (43.7207)  time: 0.4271  data: 0.2193  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4430 s / it)\n",
            "* Acc@1 11.152 Acc@5 43.721 loss 3.333\n",
            "Accuracy of the network on the 1919 test images: 11.2%\n",
            "Max accuracy: 11.46%\n",
            "Epoch: [113]  [  0/164]  eta: 0:11:08  lr: 0.000010  loss: 3.9800 (3.9800)  time: 4.0772  data: 3.3569  max mem: 4467\n",
            "Epoch: [113]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.3536 (3.4006)  time: 0.8602  data: 0.3064  max mem: 4467\n",
            "Epoch: [113]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3421 (3.3683)  time: 0.4743  data: 0.0008  max mem: 4467\n",
            "Epoch: [113]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3437 (3.3480)  time: 0.4070  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3505 (3.3550)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2607 (3.3346)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2884 (3.3646)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3181 (3.3515)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2452 (3.3392)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3163 (3.3424)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3621 (3.3395)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3060 (3.3303)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3086 (3.3351)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [113]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3585 (3.3413)  time: 0.4112  data: 0.0003  max mem: 4467\n",
            "Epoch: [113]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3371 (3.3414)  time: 0.4118  data: 0.0003  max mem: 4467\n",
            "Epoch: [113]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2952 (3.3340)  time: 0.3997  data: 0.0001  max mem: 4467\n",
            "Epoch: [113]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2005 (3.3272)  time: 0.3825  data: 0.0001  max mem: 4467\n",
            "Epoch: [113]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2005 (3.3274)  time: 0.3772  data: 0.0001  max mem: 4467\n",
            "Epoch: [113] Total time: 0:01:11 (0.4388 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2005 (3.3274)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.6931 (3.6931)  acc1: 0.0000 (0.0000)  acc5: 16.6667 (16.6667)  time: 3.5364  data: 3.2652  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9740 (3.0100)  acc1: 12.5000 (15.0568)  acc5: 58.3333 (54.1667)  time: 0.6018  data: 0.3904  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2613 (3.3090)  acc1: 7.2917 (11.0995)  acc5: 28.1250 (44.2939)  time: 0.4277  data: 0.2199  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4433 s / it)\n",
            "* Acc@1 11.100 Acc@5 44.294 loss 3.309\n",
            "Accuracy of the network on the 1919 test images: 11.1%\n",
            "Max accuracy: 11.46%\n",
            "Epoch: [114]  [  0/164]  eta: 0:10:27  lr: 0.000010  loss: 3.9505 (3.9505)  time: 3.8240  data: 3.0583  max mem: 4467\n",
            "Epoch: [114]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.3361 (3.3933)  time: 0.8622  data: 0.2818  max mem: 4467\n",
            "Epoch: [114]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3361 (3.3715)  time: 0.4883  data: 0.0022  max mem: 4467\n",
            "Epoch: [114]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3472 (3.3492)  time: 0.4069  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3492 (3.3547)  time: 0.4067  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2528 (3.3306)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2571 (3.3647)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2993 (3.3510)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2502 (3.3417)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2601 (3.3418)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2941 (3.3372)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2941 (3.3293)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3312 (3.3339)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3527 (3.3405)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3527 (3.3398)  time: 0.4089  data: 0.0002  max mem: 4467\n",
            "Epoch: [114]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2661 (3.3338)  time: 0.3972  data: 0.0001  max mem: 4467\n",
            "Epoch: [114]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2080 (3.3268)  time: 0.3813  data: 0.0001  max mem: 4467\n",
            "Epoch: [114]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2056 (3.3268)  time: 0.3763  data: 0.0001  max mem: 4467\n",
            "Epoch: [114] Total time: 0:01:11 (0.4387 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2056 (3.3268)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.7096 (3.7096)  acc1: 0.0000 (0.0000)  acc5: 6.2500 (6.2500)  time: 3.9569  data: 3.6772  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9497 (2.9861)  acc1: 14.5833 (15.7197)  acc5: 57.2917 (54.5455)  time: 0.6075  data: 0.3918  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2118 (3.3124)  acc1: 4.1667 (11.5164)  acc5: 29.1667 (42.8869)  time: 0.4259  data: 0.2155  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4403 s / it)\n",
            "* Acc@1 11.516 Acc@5 42.887 loss 3.312\n",
            "Accuracy of the network on the 1919 test images: 11.5%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [115]  [  0/164]  eta: 0:09:53  lr: 0.000010  loss: 3.9312 (3.9312)  time: 3.6160  data: 2.7977  max mem: 4467\n",
            "Epoch: [115]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.3695 (3.4064)  time: 0.8589  data: 0.2575  max mem: 4467\n",
            "Epoch: [115]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3154 (3.3706)  time: 0.4978  data: 0.0018  max mem: 4467\n",
            "Epoch: [115]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3154 (3.3456)  time: 0.4112  data: 0.0001  max mem: 4467\n",
            "Epoch: [115]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3065 (3.3512)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2992 (3.3338)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.3061 (3.3686)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3475 (3.3572)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2271 (3.3472)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.3269 (3.3486)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3374 (3.3439)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2788 (3.3379)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.3117 (3.3432)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3830 (3.3486)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3342 (3.3456)  time: 0.4083  data: 0.0002  max mem: 4467\n",
            "Epoch: [115]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2587 (3.3381)  time: 0.3975  data: 0.0001  max mem: 4467\n",
            "Epoch: [115]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2235 (3.3305)  time: 0.3821  data: 0.0001  max mem: 4467\n",
            "Epoch: [115]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1858 (3.3306)  time: 0.3766  data: 0.0001  max mem: 4467\n",
            "Epoch: [115] Total time: 0:01:11 (0.4384 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1858 (3.3306)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.6862 (3.6862)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.9293  data: 3.6391  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9493 (2.9844)  acc1: 11.4583 (15.6250)  acc5: 58.3333 (53.3144)  time: 0.6015  data: 0.3844  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2047 (3.3065)  acc1: 5.2083 (11.0995)  acc5: 27.0833 (42.7306)  time: 0.4226  data: 0.2115  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4366 s / it)\n",
            "* Acc@1 11.100 Acc@5 42.731 loss 3.307\n",
            "Accuracy of the network on the 1919 test images: 11.1%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [116]  [  0/164]  eta: 0:09:39  lr: 0.000010  loss: 3.9515 (3.9515)  time: 3.5365  data: 2.7255  max mem: 4467\n",
            "Epoch: [116]  [ 10/164]  eta: 0:02:10  lr: 0.000010  loss: 3.3255 (3.3751)  time: 0.8480  data: 0.2520  max mem: 4467\n",
            "Epoch: [116]  [ 20/164]  eta: 0:01:31  lr: 0.000010  loss: 3.3255 (3.3513)  time: 0.4937  data: 0.0026  max mem: 4467\n",
            "Epoch: [116]  [ 30/164]  eta: 0:01:15  lr: 0.000010  loss: 3.3303 (3.3403)  time: 0.4097  data: 0.0004  max mem: 4467\n",
            "Epoch: [116]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3299 (3.3513)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2517 (3.3316)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [ 60/164]  eta: 0:00:50  lr: 0.000010  loss: 3.2934 (3.3631)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [ 70/164]  eta: 0:00:44  lr: 0.000010  loss: 3.3058 (3.3502)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2074 (3.3350)  time: 0.4123  data: 0.0001  max mem: 4467\n",
            "Epoch: [116]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2856 (3.3361)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3313 (3.3342)  time: 0.4089  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3288 (3.3250)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2349 (3.3287)  time: 0.4074  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2793 (3.3327)  time: 0.4054  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3136 (3.3323)  time: 0.4064  data: 0.0002  max mem: 4467\n",
            "Epoch: [116]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2724 (3.3261)  time: 0.3964  data: 0.0001  max mem: 4467\n",
            "Epoch: [116]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2020 (3.3197)  time: 0.3802  data: 0.0001  max mem: 4467\n",
            "Epoch: [116]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2020 (3.3198)  time: 0.3760  data: 0.0001  max mem: 4467\n",
            "Epoch: [116] Total time: 0:01:11 (0.4361 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2020 (3.3198)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.6847 (3.6847)  acc1: 0.0000 (0.0000)  acc5: 10.4167 (10.4167)  time: 3.9851  data: 3.6549  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9610 (2.9950)  acc1: 15.6250 (15.2462)  acc5: 51.0417 (55.7765)  time: 0.6008  data: 0.3738  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2355 (3.3110)  acc1: 4.1667 (11.1516)  acc5: 35.4167 (43.8249)  time: 0.4227  data: 0.2056  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4370 s / it)\n",
            "* Acc@1 11.152 Acc@5 43.825 loss 3.311\n",
            "Accuracy of the network on the 1919 test images: 11.2%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [117]  [  0/164]  eta: 0:09:56  lr: 0.000010  loss: 3.9729 (3.9729)  time: 3.6376  data: 2.8748  max mem: 4467\n",
            "Epoch: [117]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.3392 (3.4030)  time: 0.8627  data: 0.2643  max mem: 4467\n",
            "Epoch: [117]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2793 (3.3627)  time: 0.5035  data: 0.0021  max mem: 4467\n",
            "Epoch: [117]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3098 (3.3433)  time: 0.4126  data: 0.0005  max mem: 4467\n",
            "Epoch: [117]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3653 (3.3503)  time: 0.4077  data: 0.0001  max mem: 4467\n",
            "Epoch: [117]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2582 (3.3301)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2582 (3.3619)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2919 (3.3493)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2756 (3.3358)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2997 (3.3360)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3472 (3.3321)  time: 0.4158  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2889 (3.3244)  time: 0.4181  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2867 (3.3267)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3582 (3.3319)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3582 (3.3323)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [117]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2758 (3.3272)  time: 0.3984  data: 0.0001  max mem: 4467\n",
            "Epoch: [117]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2391 (3.3221)  time: 0.3824  data: 0.0001  max mem: 4467\n",
            "Epoch: [117]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2391 (3.3226)  time: 0.3773  data: 0.0001  max mem: 4467\n",
            "Epoch: [117] Total time: 0:01:12 (0.4409 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2391 (3.3226)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.6718 (3.6718)  acc1: 0.0000 (0.0000)  acc5: 12.5000 (12.5000)  time: 3.4374  data: 3.1341  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9389 (2.9829)  acc1: 13.5417 (15.6250)  acc5: 52.0833 (55.9659)  time: 0.5876  data: 0.3734  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2083 (3.3147)  acc1: 5.2083 (10.8911)  acc5: 31.2500 (43.1996)  time: 0.4237  data: 0.2148  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4392 s / it)\n",
            "* Acc@1 10.891 Acc@5 43.200 loss 3.315\n",
            "Accuracy of the network on the 1919 test images: 10.9%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [118]  [  0/164]  eta: 0:09:50  lr: 0.000010  loss: 3.9830 (3.9830)  time: 3.6003  data: 2.8417  max mem: 4467\n",
            "Epoch: [118]  [ 10/164]  eta: 0:02:11  lr: 0.000010  loss: 3.3057 (3.3868)  time: 0.8539  data: 0.2607  max mem: 4467\n",
            "Epoch: [118]  [ 20/164]  eta: 0:01:32  lr: 0.000010  loss: 3.3057 (3.3624)  time: 0.4971  data: 0.0014  max mem: 4467\n",
            "Epoch: [118]  [ 30/164]  eta: 0:01:15  lr: 0.000010  loss: 3.3186 (3.3424)  time: 0.4093  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3408 (3.3445)  time: 0.4038  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2993 (3.3194)  time: 0.4055  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 60/164]  eta: 0:00:50  lr: 0.000010  loss: 3.3148 (3.3526)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 70/164]  eta: 0:00:44  lr: 0.000010  loss: 3.3371 (3.3416)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2746 (3.3299)  time: 0.4084  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2754 (3.3326)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3627 (3.3303)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2677 (3.3212)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2633 (3.3261)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2892 (3.3322)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3412 (3.3305)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [118]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2415 (3.3257)  time: 0.3993  data: 0.0001  max mem: 4467\n",
            "Epoch: [118]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1838 (3.3182)  time: 0.3817  data: 0.0001  max mem: 4467\n",
            "Epoch: [118]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1838 (3.3181)  time: 0.3770  data: 0.0001  max mem: 4467\n",
            "Epoch: [118] Total time: 0:01:11 (0.4374 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1838 (3.3181)\n",
            "Test:  [ 0/20]  eta: 0:01:23  loss: 3.6647 (3.6647)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 4.1645  data: 3.8513  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9479 (2.9768)  acc1: 12.5000 (15.3409)  acc5: 54.1667 (53.9773)  time: 0.6226  data: 0.4008  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2088 (3.3034)  acc1: 6.2500 (11.3080)  acc5: 34.3750 (43.1996)  time: 0.4341  data: 0.2205  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4499 s / it)\n",
            "* Acc@1 11.308 Acc@5 43.200 loss 3.303\n",
            "Accuracy of the network on the 1919 test images: 11.3%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [119]  [  0/164]  eta: 0:11:44  lr: 0.000010  loss: 3.9824 (3.9824)  time: 4.2956  data: 3.5909  max mem: 4467\n",
            "Epoch: [119]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3138 (3.3754)  time: 0.8734  data: 0.3287  max mem: 4467\n",
            "Epoch: [119]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.3037 (3.3607)  time: 0.4713  data: 0.0013  max mem: 4467\n",
            "Epoch: [119]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3037 (3.3420)  time: 0.4088  data: 0.0001  max mem: 4467\n",
            "Epoch: [119]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3261 (3.3491)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2446 (3.3305)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2532 (3.3584)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2887 (3.3408)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2273 (3.3297)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2980 (3.3316)  time: 0.4224  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3191 (3.3292)  time: 0.4200  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2712 (3.3219)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2834 (3.3267)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3376 (3.3327)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3376 (3.3325)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [119]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2528 (3.3259)  time: 0.3990  data: 0.0001  max mem: 4467\n",
            "Epoch: [119]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2025 (3.3192)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [119]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1938 (3.3196)  time: 0.3773  data: 0.0001  max mem: 4467\n",
            "Epoch: [119] Total time: 0:01:12 (0.4407 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1938 (3.3196)\n",
            "Test:  [ 0/20]  eta: 0:01:07  loss: 3.6827 (3.6827)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.3970  data: 3.1462  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9468 (2.9833)  acc1: 12.5000 (15.8144)  acc5: 55.2083 (55.5871)  time: 0.5916  data: 0.3780  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1981 (3.2938)  acc1: 4.1667 (11.4122)  acc5: 29.1667 (44.0334)  time: 0.4258  data: 0.2170  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4414 s / it)\n",
            "* Acc@1 11.412 Acc@5 44.033 loss 3.294\n",
            "Accuracy of the network on the 1919 test images: 11.4%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [120]  [  0/164]  eta: 0:09:54  lr: 0.000010  loss: 3.9268 (3.9268)  time: 3.6272  data: 2.8368  max mem: 4467\n",
            "Epoch: [120]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3154 (3.3931)  time: 0.8664  data: 0.2606  max mem: 4467\n",
            "Epoch: [120]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2983 (3.3508)  time: 0.4996  data: 0.0016  max mem: 4467\n",
            "Epoch: [120]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2983 (3.3310)  time: 0.4074  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2820 (3.3368)  time: 0.4081  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2442 (3.3148)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2469 (3.3416)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2736 (3.3262)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2387 (3.3177)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2528 (3.3205)  time: 0.4093  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3346 (3.3214)  time: 0.4120  data: 0.0003  max mem: 4467\n",
            "Epoch: [120]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2906 (3.3127)  time: 0.4138  data: 0.0003  max mem: 4467\n",
            "Epoch: [120]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2874 (3.3174)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3466 (3.3239)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3261 (3.3245)  time: 0.4081  data: 0.0002  max mem: 4467\n",
            "Epoch: [120]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2376 (3.3186)  time: 0.3980  data: 0.0001  max mem: 4467\n",
            "Epoch: [120]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2103 (3.3123)  time: 0.3828  data: 0.0001  max mem: 4467\n",
            "Epoch: [120]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2103 (3.3128)  time: 0.3773  data: 0.0001  max mem: 4467\n",
            "Epoch: [120] Total time: 0:01:12 (0.4390 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2103 (3.3128)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6848 (3.6848)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 3.4899  data: 3.2377  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9480 (2.9824)  acc1: 11.4583 (15.3409)  acc5: 59.3750 (53.9773)  time: 0.6028  data: 0.3854  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2060 (3.3031)  acc1: 4.1667 (10.9432)  acc5: 27.0833 (43.1475)  time: 0.4233  data: 0.2120  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4387 s / it)\n",
            "* Acc@1 10.943 Acc@5 43.147 loss 3.303\n",
            "Accuracy of the network on the 1919 test images: 10.9%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [121]  [  0/164]  eta: 0:09:43  lr: 0.000010  loss: 3.9718 (3.9718)  time: 3.5560  data: 2.7441  max mem: 4467\n",
            "Epoch: [121]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3843 (3.3831)  time: 0.8667  data: 0.2665  max mem: 4467\n",
            "Epoch: [121]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.3069 (3.3550)  time: 0.5025  data: 0.0095  max mem: 4467\n",
            "Epoch: [121]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3069 (3.3336)  time: 0.4077  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3163 (3.3424)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2659 (3.3185)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2341 (3.3494)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2918 (3.3345)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2296 (3.3237)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2892 (3.3235)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3298 (3.3222)  time: 0.4118  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3060 (3.3155)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2923 (3.3197)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3256 (3.3268)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3285 (3.3255)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [121]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2507 (3.3190)  time: 0.4009  data: 0.0001  max mem: 4467\n",
            "Epoch: [121]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2047 (3.3131)  time: 0.3825  data: 0.0001  max mem: 4467\n",
            "Epoch: [121]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1971 (3.3124)  time: 0.3771  data: 0.0001  max mem: 4467\n",
            "Epoch: [121] Total time: 0:01:12 (0.4396 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1971 (3.3124)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6636 (3.6636)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 3.7388  data: 3.4633  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9257 (2.9790)  acc1: 14.5833 (16.3826)  acc5: 58.3333 (55.2083)  time: 0.6211  data: 0.4054  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2273 (3.2853)  acc1: 5.2083 (11.2038)  acc5: 29.1667 (44.2939)  time: 0.4333  data: 0.2230  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4470 s / it)\n",
            "* Acc@1 11.204 Acc@5 44.294 loss 3.285\n",
            "Accuracy of the network on the 1919 test images: 11.2%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [122]  [  0/164]  eta: 0:10:50  lr: 0.000010  loss: 3.9231 (3.9231)  time: 3.9676  data: 3.2000  max mem: 4467\n",
            "Epoch: [122]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3481 (3.3852)  time: 0.8759  data: 0.2935  max mem: 4467\n",
            "Epoch: [122]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.3354 (3.3538)  time: 0.4930  data: 0.0015  max mem: 4467\n",
            "Epoch: [122]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.3354 (3.3319)  time: 0.4126  data: 0.0001  max mem: 4467\n",
            "Epoch: [122]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3051 (3.3329)  time: 0.4095  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2671 (3.3130)  time: 0.4131  data: 0.0003  max mem: 4467\n",
            "Epoch: [122]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2786 (3.3468)  time: 0.4134  data: 0.0003  max mem: 4467\n",
            "Epoch: [122]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3505 (3.3360)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2323 (3.3233)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2323 (3.3228)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2902 (3.3193)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2243 (3.3108)  time: 0.4093  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2545 (3.3156)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2898 (3.3194)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2880 (3.3215)  time: 0.4077  data: 0.0002  max mem: 4467\n",
            "Epoch: [122]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2793 (3.3164)  time: 0.3965  data: 0.0001  max mem: 4467\n",
            "Epoch: [122]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1940 (3.3088)  time: 0.3822  data: 0.0001  max mem: 4467\n",
            "Epoch: [122]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1940 (3.3090)  time: 0.3777  data: 0.0001  max mem: 4467\n",
            "Epoch: [122] Total time: 0:01:12 (0.4400 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1940 (3.3090)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.6488 (3.6488)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 4.0987  data: 3.7826  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9433 (2.9850)  acc1: 12.5000 (14.2992)  acc5: 56.2500 (55.4924)  time: 0.6224  data: 0.4067  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2345 (3.2833)  acc1: 4.1667 (10.8911)  acc5: 30.2083 (44.6587)  time: 0.4342  data: 0.2237  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4489 s / it)\n",
            "* Acc@1 10.891 Acc@5 44.659 loss 3.283\n",
            "Accuracy of the network on the 1919 test images: 10.9%\n",
            "Max accuracy: 11.52%\n",
            "Epoch: [123]  [  0/164]  eta: 0:10:56  lr: 0.000010  loss: 3.9176 (3.9176)  time: 4.0015  data: 3.2421  max mem: 4467\n",
            "Epoch: [123]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.3179 (3.3724)  time: 0.8776  data: 0.3001  max mem: 4467\n",
            "Epoch: [123]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.3015 (3.3486)  time: 0.4883  data: 0.0030  max mem: 4467\n",
            "Epoch: [123]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.3015 (3.3323)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3304 (3.3406)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2495 (3.3180)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2646 (3.3498)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3128 (3.3342)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2315 (3.3230)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2339 (3.3222)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3036 (3.3194)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2760 (3.3115)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2873 (3.3161)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3670 (3.3212)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3720 (3.3224)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [123]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2866 (3.3175)  time: 0.4023  data: 0.0001  max mem: 4467\n",
            "Epoch: [123]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.2224 (3.3105)  time: 0.3831  data: 0.0001  max mem: 4467\n",
            "Epoch: [123]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.2224 (3.3108)  time: 0.3772  data: 0.0001  max mem: 4467\n",
            "Epoch: [123] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.2224 (3.3108)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6505 (3.6505)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.7368  data: 3.3875  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9266 (2.9675)  acc1: 14.5833 (17.0455)  acc5: 54.1667 (55.7765)  time: 0.6112  data: 0.3864  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2074 (3.2997)  acc1: 6.2500 (11.5685)  acc5: 34.3750 (44.1897)  time: 0.4277  data: 0.2126  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4433 s / it)\n",
            "* Acc@1 11.569 Acc@5 44.190 loss 3.300\n",
            "Accuracy of the network on the 1919 test images: 11.6%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [124]  [  0/164]  eta: 0:12:02  lr: 0.000010  loss: 3.9478 (3.9478)  time: 4.4048  data: 3.6176  max mem: 4467\n",
            "Epoch: [124]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.3532 (3.3685)  time: 0.8897  data: 0.3298  max mem: 4467\n",
            "Epoch: [124]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3048 (3.3538)  time: 0.4735  data: 0.0006  max mem: 4467\n",
            "Epoch: [124]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.3048 (3.3362)  time: 0.4063  data: 0.0001  max mem: 4467\n",
            "Epoch: [124]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3164 (3.3384)  time: 0.4065  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2452 (3.3177)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.3223 (3.3498)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3448 (3.3367)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2240 (3.3207)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2548 (3.3229)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3433 (3.3219)  time: 0.4165  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3103 (3.3131)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2796 (3.3157)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3479 (3.3204)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3269 (3.3182)  time: 0.4101  data: 0.0002  max mem: 4467\n",
            "Epoch: [124]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2417 (3.3120)  time: 0.3967  data: 0.0001  max mem: 4467\n",
            "Epoch: [124]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1579 (3.3044)  time: 0.3807  data: 0.0001  max mem: 4467\n",
            "Epoch: [124]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1579 (3.3046)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [124] Total time: 0:01:12 (0.4414 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1579 (3.3046)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6951 (3.6951)  acc1: 0.0000 (0.0000)  acc5: 2.0833 (2.0833)  time: 3.7231  data: 3.4596  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9423 (2.9840)  acc1: 11.4583 (14.6780)  acc5: 54.1667 (54.1667)  time: 0.6171  data: 0.4061  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1697 (3.2903)  acc1: 5.2083 (10.9953)  acc5: 35.4167 (43.9812)  time: 0.4314  data: 0.2234  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4469 s / it)\n",
            "* Acc@1 10.995 Acc@5 43.981 loss 3.290\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [125]  [  0/164]  eta: 0:10:13  lr: 0.000010  loss: 3.9143 (3.9143)  time: 3.7407  data: 2.9476  max mem: 4467\n",
            "Epoch: [125]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.3231 (3.3768)  time: 0.8846  data: 0.2712  max mem: 4467\n",
            "Epoch: [125]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2802 (3.3467)  time: 0.5126  data: 0.0021  max mem: 4467\n",
            "Epoch: [125]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.2802 (3.3273)  time: 0.4177  data: 0.0004  max mem: 4467\n",
            "Epoch: [125]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.3180 (3.3358)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2459 (3.3168)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2761 (3.3497)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3269 (3.3358)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2617 (3.3218)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2793 (3.3264)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3594 (3.3218)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2469 (3.3135)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2549 (3.3168)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3425 (3.3217)  time: 0.4084  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3467 (3.3212)  time: 0.4060  data: 0.0002  max mem: 4467\n",
            "Epoch: [125]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2307 (3.3141)  time: 0.3956  data: 0.0001  max mem: 4467\n",
            "Epoch: [125]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1547 (3.3069)  time: 0.3819  data: 0.0001  max mem: 4467\n",
            "Epoch: [125]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1547 (3.3075)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [125] Total time: 0:01:12 (0.4414 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1547 (3.3075)\n",
            "Test:  [ 0/20]  eta: 0:01:28  loss: 3.6888 (3.6888)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 4.4376  data: 4.1309  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9230 (2.9738)  acc1: 8.3333 (15.5303)  acc5: 56.2500 (54.8295)  time: 0.6230  data: 0.4101  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1821 (3.2852)  acc1: 5.2083 (10.7869)  acc5: 29.1667 (44.7629)  time: 0.4341  data: 0.2256  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4493 s / it)\n",
            "* Acc@1 10.787 Acc@5 44.763 loss 3.285\n",
            "Accuracy of the network on the 1919 test images: 10.8%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [126]  [  0/164]  eta: 0:10:16  lr: 0.000010  loss: 3.9388 (3.9388)  time: 3.7594  data: 2.9854  max mem: 4467\n",
            "Epoch: [126]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3013 (3.3688)  time: 0.8671  data: 0.2761  max mem: 4467\n",
            "Epoch: [126]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.3013 (3.3479)  time: 0.4997  data: 0.0029  max mem: 4467\n",
            "Epoch: [126]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.3202 (3.3278)  time: 0.4131  data: 0.0004  max mem: 4467\n",
            "Epoch: [126]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3142 (3.3361)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2608 (3.3180)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.3017 (3.3470)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3064 (3.3364)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2322 (3.3247)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2816 (3.3234)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3317 (3.3216)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.3023 (3.3128)  time: 0.4120  data: 0.0004  max mem: 4467\n",
            "Epoch: [126]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2446 (3.3162)  time: 0.4111  data: 0.0005  max mem: 4467\n",
            "Epoch: [126]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2655 (3.3208)  time: 0.4090  data: 0.0003  max mem: 4467\n",
            "Epoch: [126]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2825 (3.3208)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [126]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2795 (3.3147)  time: 0.3998  data: 0.0001  max mem: 4467\n",
            "Epoch: [126]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1825 (3.3065)  time: 0.3833  data: 0.0001  max mem: 4467\n",
            "Epoch: [126]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1825 (3.3065)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [126] Total time: 0:01:12 (0.4405 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1825 (3.3065)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.6734 (3.6734)  acc1: 0.0000 (0.0000)  acc5: 6.2500 (6.2500)  time: 3.8986  data: 3.5758  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9262 (2.9789)  acc1: 11.4583 (15.2462)  acc5: 56.2500 (55.4924)  time: 0.6151  data: 0.3947  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2312 (3.2699)  acc1: 7.2917 (10.9953)  acc5: 30.2083 (45.4924)  time: 0.4303  data: 0.2171  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4456 s / it)\n",
            "* Acc@1 10.995 Acc@5 45.492 loss 3.270\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [127]  [  0/164]  eta: 0:10:28  lr: 0.000010  loss: 3.9654 (3.9654)  time: 3.8312  data: 3.0360  max mem: 4467\n",
            "Epoch: [127]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3386 (3.3905)  time: 0.8678  data: 0.2769  max mem: 4467\n",
            "Epoch: [127]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2909 (3.3500)  time: 0.4912  data: 0.0006  max mem: 4467\n",
            "Epoch: [127]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2802 (3.3231)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2639 (3.3306)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2352 (3.3083)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2166 (3.3381)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2579 (3.3280)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2346 (3.3164)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2883 (3.3172)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3199 (3.3135)  time: 0.4170  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2744 (3.3058)  time: 0.4193  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2864 (3.3105)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3561 (3.3168)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3255 (3.3161)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [127]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2457 (3.3098)  time: 0.3972  data: 0.0001  max mem: 4467\n",
            "Epoch: [127]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1901 (3.3013)  time: 0.3824  data: 0.0001  max mem: 4467\n",
            "Epoch: [127]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1776 (3.3008)  time: 0.3779  data: 0.0001  max mem: 4467\n",
            "Epoch: [127] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1776 (3.3008)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.6530 (3.6530)  acc1: 0.0000 (0.0000)  acc5: 10.4167 (10.4167)  time: 3.5976  data: 3.3325  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9312 (2.9602)  acc1: 11.4583 (15.3409)  acc5: 55.2083 (55.6818)  time: 0.6085  data: 0.3942  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2033 (3.2845)  acc1: 5.2083 (10.7348)  acc5: 32.2917 (44.1376)  time: 0.4271  data: 0.2179  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4418 s / it)\n",
            "* Acc@1 10.735 Acc@5 44.138 loss 3.284\n",
            "Accuracy of the network on the 1919 test images: 10.7%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [128]  [  0/164]  eta: 0:10:10  lr: 0.000010  loss: 4.0025 (4.0025)  time: 3.7198  data: 2.9394  max mem: 4467\n",
            "Epoch: [128]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3106 (3.3753)  time: 0.8678  data: 0.2697  max mem: 4467\n",
            "Epoch: [128]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2755 (3.3388)  time: 0.5007  data: 0.0017  max mem: 4467\n",
            "Epoch: [128]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2649 (3.3128)  time: 0.4125  data: 0.0003  max mem: 4467\n",
            "Epoch: [128]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2964 (3.3206)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2657 (3.3045)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2670 (3.3364)  time: 0.4118  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2932 (3.3212)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2468 (3.3091)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2468 (3.3092)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.3229 (3.3072)  time: 0.4140  data: 0.0001  max mem: 4467\n",
            "Epoch: [128]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2224 (3.2975)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2334 (3.3008)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3190 (3.3079)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3282 (3.3083)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [128]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2101 (3.3015)  time: 0.4017  data: 0.0005  max mem: 4467\n",
            "Epoch: [128]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1574 (3.2946)  time: 0.3856  data: 0.0005  max mem: 4467\n",
            "Epoch: [128]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1574 (3.2951)  time: 0.3773  data: 0.0005  max mem: 4467\n",
            "Epoch: [128] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1574 (3.2951)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.6641 (3.6641)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 4.0672  data: 3.8135  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9231 (2.9675)  acc1: 12.5000 (15.0568)  acc5: 58.3333 (54.7348)  time: 0.6257  data: 0.4052  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2019 (3.2794)  acc1: 4.1667 (10.9953)  acc5: 30.2083 (44.3981)  time: 0.4353  data: 0.2229  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4487 s / it)\n",
            "* Acc@1 10.995 Acc@5 44.398 loss 3.279\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [129]  [  0/164]  eta: 0:10:04  lr: 0.000010  loss: 3.8878 (3.8878)  time: 3.6855  data: 2.8378  max mem: 4467\n",
            "Epoch: [129]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2788 (3.3489)  time: 0.8735  data: 0.2616  max mem: 4467\n",
            "Epoch: [129]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2595 (3.3169)  time: 0.5021  data: 0.0021  max mem: 4467\n",
            "Epoch: [129]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2550 (3.3005)  time: 0.4101  data: 0.0001  max mem: 4467\n",
            "Epoch: [129]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3040 (3.3072)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2565 (3.2940)  time: 0.4093  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2585 (3.3287)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3268 (3.3169)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2013 (3.3082)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2504 (3.3078)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2518 (3.3053)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2171 (3.3003)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2919 (3.3039)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3126 (3.3108)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2956 (3.3105)  time: 0.4095  data: 0.0002  max mem: 4467\n",
            "Epoch: [129]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2333 (3.3029)  time: 0.3980  data: 0.0001  max mem: 4467\n",
            "Epoch: [129]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1914 (3.2943)  time: 0.3824  data: 0.0001  max mem: 4467\n",
            "Epoch: [129]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1874 (3.2944)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [129] Total time: 0:01:12 (0.4391 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1874 (3.2944)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.6860 (3.6860)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.5122  data: 3.2584  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9230 (2.9832)  acc1: 13.5417 (13.8258)  acc5: 56.2500 (53.0303)  time: 0.5901  data: 0.3783  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2059 (3.2622)  acc1: 4.1667 (10.8390)  acc5: 33.3333 (44.5545)  time: 0.4250  data: 0.2173  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4406 s / it)\n",
            "* Acc@1 10.839 Acc@5 44.554 loss 3.262\n",
            "Accuracy of the network on the 1919 test images: 10.8%\n",
            "Max accuracy: 11.57%\n",
            "Epoch: [130]  [  0/164]  eta: 0:09:46  lr: 0.000010  loss: 3.8508 (3.8508)  time: 3.5763  data: 2.8052  max mem: 4467\n",
            "Epoch: [130]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.3633 (3.3542)  time: 0.8660  data: 0.2570  max mem: 4467\n",
            "Epoch: [130]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2926 (3.3286)  time: 0.5080  data: 0.0012  max mem: 4467\n",
            "Epoch: [130]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2818 (3.3095)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2475 (3.3073)  time: 0.4077  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2221 (3.2896)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2592 (3.3248)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3035 (3.3119)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2528 (3.3029)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2900 (3.3067)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2956 (3.3015)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2554 (3.2919)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2627 (3.2957)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3102 (3.2984)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2495 (3.2979)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [130]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2310 (3.2933)  time: 0.3981  data: 0.0001  max mem: 4467\n",
            "Epoch: [130]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1747 (3.2860)  time: 0.3834  data: 0.0001  max mem: 4467\n",
            "Epoch: [130]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1747 (3.2868)  time: 0.3780  data: 0.0001  max mem: 4467\n",
            "Epoch: [130] Total time: 0:01:12 (0.4403 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1747 (3.2868)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.6797 (3.6797)  acc1: 0.0000 (0.0000)  acc5: 6.2500 (6.2500)  time: 3.5216  data: 3.2282  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9357 (2.9801)  acc1: 12.5000 (16.1932)  acc5: 57.2917 (53.8826)  time: 0.6005  data: 0.3865  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2130 (3.2679)  acc1: 10.4167 (11.6206)  acc5: 39.5833 (45.7009)  time: 0.4220  data: 0.2126  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4377 s / it)\n",
            "* Acc@1 11.621 Acc@5 45.701 loss 3.268\n",
            "Accuracy of the network on the 1919 test images: 11.6%\n",
            "Max accuracy: 11.62%\n",
            "Epoch: [131]  [  0/164]  eta: 0:10:55  lr: 0.000010  loss: 3.8660 (3.8660)  time: 3.9998  data: 3.1667  max mem: 4467\n",
            "Epoch: [131]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3264 (3.3649)  time: 0.8745  data: 0.2899  max mem: 4467\n",
            "Epoch: [131]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2907 (3.3434)  time: 0.4896  data: 0.0014  max mem: 4467\n",
            "Epoch: [131]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2520 (3.3163)  time: 0.4154  data: 0.0004  max mem: 4467\n",
            "Epoch: [131]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2276 (3.3190)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2004 (3.2993)  time: 0.4077  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2304 (3.3315)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2798 (3.3190)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1936 (3.3048)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2211 (3.3060)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2953 (3.3028)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2674 (3.2953)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2483 (3.2981)  time: 0.4092  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3003 (3.3012)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3157 (3.3014)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [131]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2401 (3.2964)  time: 0.3991  data: 0.0001  max mem: 4467\n",
            "Epoch: [131]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1753 (3.2895)  time: 0.3812  data: 0.0001  max mem: 4467\n",
            "Epoch: [131]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1753 (3.2893)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [131] Total time: 0:01:12 (0.4398 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1753 (3.2893)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.6765 (3.6765)  acc1: 0.0000 (0.0000)  acc5: 6.2500 (6.2500)  time: 3.6102  data: 3.3626  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9127 (2.9751)  acc1: 11.4583 (14.6780)  acc5: 56.2500 (53.5038)  time: 0.6025  data: 0.3869  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2151 (3.2678)  acc1: 9.3750 (11.2559)  acc5: 33.3333 (45.0235)  time: 0.4233  data: 0.2128  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4382 s / it)\n",
            "* Acc@1 11.256 Acc@5 45.023 loss 3.268\n",
            "Accuracy of the network on the 1919 test images: 11.3%\n",
            "Max accuracy: 11.62%\n",
            "Epoch: [132]  [  0/164]  eta: 0:11:21  lr: 0.000010  loss: 3.9258 (3.9258)  time: 4.1528  data: 3.4467  max mem: 4467\n",
            "Epoch: [132]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.2924 (3.3575)  time: 0.8847  data: 0.3173  max mem: 4467\n",
            "Epoch: [132]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2824 (3.3390)  time: 0.4835  data: 0.0022  max mem: 4467\n",
            "Epoch: [132]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2689 (3.3153)  time: 0.4089  data: 0.0001  max mem: 4467\n",
            "Epoch: [132]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2716 (3.3238)  time: 0.4107  data: 0.0001  max mem: 4467\n",
            "Epoch: [132]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2368 (3.3025)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1797 (3.3301)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2669 (3.3158)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2669 (3.3077)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2461 (3.3024)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2695 (3.3004)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2440 (3.2923)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2501 (3.2959)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2707 (3.3011)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3001 (3.3000)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [132]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2279 (3.2942)  time: 0.3997  data: 0.0001  max mem: 4467\n",
            "Epoch: [132]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1924 (3.2883)  time: 0.3821  data: 0.0001  max mem: 4467\n",
            "Epoch: [132]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1374 (3.2885)  time: 0.3768  data: 0.0001  max mem: 4467\n",
            "Epoch: [132] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1374 (3.2885)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.6959 (3.6959)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.7967  data: 3.5087  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9280 (2.9741)  acc1: 10.4167 (15.0568)  acc5: 58.3333 (54.9242)  time: 0.6186  data: 0.4021  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1709 (3.2582)  acc1: 4.1667 (11.5164)  acc5: 35.4167 (45.3882)  time: 0.4318  data: 0.2212  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4474 s / it)\n",
            "* Acc@1 11.516 Acc@5 45.388 loss 3.258\n",
            "Accuracy of the network on the 1919 test images: 11.5%\n",
            "Max accuracy: 11.62%\n",
            "Epoch: [133]  [  0/164]  eta: 0:11:59  lr: 0.000010  loss: 3.9227 (3.9227)  time: 4.3863  data: 3.6321  max mem: 4467\n",
            "Epoch: [133]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.3682 (3.3835)  time: 0.8869  data: 0.3313  max mem: 4467\n",
            "Epoch: [133]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.3112 (3.3409)  time: 0.4734  data: 0.0007  max mem: 4467\n",
            "Epoch: [133]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2998 (3.3145)  time: 0.4095  data: 0.0001  max mem: 4467\n",
            "Epoch: [133]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.3475 (3.3210)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2591 (3.2969)  time: 0.4092  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2039 (3.3211)  time: 0.4105  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2315 (3.3114)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2028 (3.2991)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2301 (3.3004)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2886 (3.2977)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2373 (3.2903)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2904 (3.2938)  time: 0.4145  data: 0.0004  max mem: 4467\n",
            "Epoch: [133]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3131 (3.2989)  time: 0.4137  data: 0.0004  max mem: 4467\n",
            "Epoch: [133]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2818 (3.2980)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [133]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2500 (3.2917)  time: 0.3968  data: 0.0001  max mem: 4467\n",
            "Epoch: [133]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1503 (3.2848)  time: 0.3803  data: 0.0001  max mem: 4467\n",
            "Epoch: [133]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1616 (3.2860)  time: 0.3762  data: 0.0001  max mem: 4467\n",
            "Epoch: [133] Total time: 0:01:12 (0.4411 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1616 (3.2860)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.6668 (3.6668)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 3.4357  data: 3.1698  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9068 (2.9574)  acc1: 12.5000 (14.3939)  acc5: 57.2917 (53.9773)  time: 0.6030  data: 0.3924  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2089 (3.2478)  acc1: 4.1667 (10.9953)  acc5: 34.3750 (45.4924)  time: 0.4229  data: 0.2158  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4386 s / it)\n",
            "* Acc@1 10.995 Acc@5 45.492 loss 3.248\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 11.62%\n",
            "Epoch: [134]  [  0/164]  eta: 0:10:07  lr: 0.000010  loss: 3.8245 (3.8245)  time: 3.7029  data: 2.8929  max mem: 4467\n",
            "Epoch: [134]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.3338 (3.3499)  time: 0.8878  data: 0.2667  max mem: 4467\n",
            "Epoch: [134]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2321 (3.3143)  time: 0.5099  data: 0.0025  max mem: 4467\n",
            "Epoch: [134]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2576 (3.2947)  time: 0.4095  data: 0.0005  max mem: 4467\n",
            "Epoch: [134]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2616 (3.3062)  time: 0.4080  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2369 (3.2921)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2366 (3.3224)  time: 0.4084  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2462 (3.3053)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2462 (3.2937)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2453 (3.2908)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2600 (3.2882)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2646 (3.2831)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2347 (3.2871)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3226 (3.2922)  time: 0.4089  data: 0.0002  max mem: 4467\n",
            "Epoch: [134]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3064 (3.2914)  time: 0.4086  data: 0.0001  max mem: 4467\n",
            "Epoch: [134]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2552 (3.2860)  time: 0.3979  data: 0.0001  max mem: 4467\n",
            "Epoch: [134]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1671 (3.2798)  time: 0.3832  data: 0.0001  max mem: 4467\n",
            "Epoch: [134]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1671 (3.2803)  time: 0.3786  data: 0.0001  max mem: 4467\n",
            "Epoch: [134] Total time: 0:01:12 (0.4401 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1671 (3.2803)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6457 (3.6457)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.7293  data: 3.4095  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9170 (2.9647)  acc1: 14.5833 (16.3826)  acc5: 57.2917 (56.8182)  time: 0.6215  data: 0.4010  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2019 (3.2507)  acc1: 5.2083 (12.4544)  acc5: 40.6250 (46.2741)  time: 0.4343  data: 0.2206  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4496 s / it)\n",
            "* Acc@1 12.454 Acc@5 46.274 loss 3.251\n",
            "Accuracy of the network on the 1919 test images: 12.5%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [135]  [  0/164]  eta: 0:10:59  lr: 0.000010  loss: 3.9164 (3.9164)  time: 4.0202  data: 3.3037  max mem: 4467\n",
            "Epoch: [135]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2980 (3.3573)  time: 0.8763  data: 0.3053  max mem: 4467\n",
            "Epoch: [135]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2704 (3.3132)  time: 0.4833  data: 0.0028  max mem: 4467\n",
            "Epoch: [135]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2706 (3.3064)  time: 0.4051  data: 0.0001  max mem: 4467\n",
            "Epoch: [135]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.3111 (3.3085)  time: 0.4053  data: 0.0001  max mem: 4467\n",
            "Epoch: [135]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2487 (3.2896)  time: 0.4061  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2164 (3.3174)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2616 (3.3087)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2399 (3.2959)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2495 (3.2934)  time: 0.4101  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2495 (3.2893)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2045 (3.2819)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2518 (3.2852)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2565 (3.2873)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2140 (3.2857)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [135]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2412 (3.2842)  time: 0.3977  data: 0.0001  max mem: 4467\n",
            "Epoch: [135]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1725 (3.2777)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [135]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1723 (3.2784)  time: 0.3774  data: 0.0001  max mem: 4467\n",
            "Epoch: [135] Total time: 0:01:11 (0.4389 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1723 (3.2784)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.6525 (3.6525)  acc1: 0.0000 (0.0000)  acc5: 7.2917 (7.2917)  time: 3.8050  data: 3.5463  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8978 (2.9470)  acc1: 10.4167 (16.0985)  acc5: 58.3333 (56.8182)  time: 0.6141  data: 0.3995  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1858 (3.2913)  acc1: 3.1250 (11.1516)  acc5: 29.1667 (43.9291)  time: 0.4293  data: 0.2198  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4453 s / it)\n",
            "* Acc@1 11.152 Acc@5 43.929 loss 3.291\n",
            "Accuracy of the network on the 1919 test images: 11.2%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [136]  [  0/164]  eta: 0:10:56  lr: 0.000010  loss: 3.9457 (3.9457)  time: 4.0014  data: 3.2921  max mem: 4467\n",
            "Epoch: [136]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2935 (3.3710)  time: 0.8707  data: 0.3007  max mem: 4467\n",
            "Epoch: [136]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2880 (3.3351)  time: 0.4826  data: 0.0009  max mem: 4467\n",
            "Epoch: [136]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2880 (3.3039)  time: 0.4066  data: 0.0001  max mem: 4467\n",
            "Epoch: [136]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2988 (3.3163)  time: 0.4087  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2349 (3.3003)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2171 (3.3265)  time: 0.4148  data: 0.0004  max mem: 4467\n",
            "Epoch: [136]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2171 (3.3114)  time: 0.4174  data: 0.0004  max mem: 4467\n",
            "Epoch: [136]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2049 (3.3001)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2379 (3.3026)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2837 (3.2975)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2157 (3.2902)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2300 (3.2927)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2824 (3.2988)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2783 (3.2964)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [136]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2043 (3.2906)  time: 0.3988  data: 0.0001  max mem: 4467\n",
            "Epoch: [136]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1803 (3.2833)  time: 0.3833  data: 0.0001  max mem: 4467\n",
            "Epoch: [136]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1803 (3.2834)  time: 0.3782  data: 0.0001  max mem: 4467\n",
            "Epoch: [136] Total time: 0:01:12 (0.4410 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1803 (3.2834)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.7048 (3.7048)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 3.5896  data: 3.2880  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9102 (2.9593)  acc1: 11.4583 (13.4470)  acc5: 53.1250 (55.0189)  time: 0.6024  data: 0.3847  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1631 (3.2550)  acc1: 2.0833 (11.3080)  acc5: 37.5000 (44.6587)  time: 0.4299  data: 0.2192  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4458 s / it)\n",
            "* Acc@1 11.308 Acc@5 44.659 loss 3.255\n",
            "Accuracy of the network on the 1919 test images: 11.3%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [137]  [  0/164]  eta: 0:11:02  lr: 0.000010  loss: 3.9013 (3.9013)  time: 4.0406  data: 3.2922  max mem: 4467\n",
            "Epoch: [137]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3104 (3.3392)  time: 0.8755  data: 0.3002  max mem: 4467\n",
            "Epoch: [137]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2469 (3.3148)  time: 0.4878  data: 0.0006  max mem: 4467\n",
            "Epoch: [137]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2469 (3.2740)  time: 0.4131  data: 0.0001  max mem: 4467\n",
            "Epoch: [137]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2591 (3.2829)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2097 (3.2700)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2310 (3.2947)  time: 0.4082  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2351 (3.2888)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2330 (3.2801)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2447 (3.2798)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2975 (3.2788)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2513 (3.2716)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.1993 (3.2741)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3627 (3.2835)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2942 (3.2825)  time: 0.4074  data: 0.0002  max mem: 4467\n",
            "Epoch: [137]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2203 (3.2755)  time: 0.3982  data: 0.0001  max mem: 4467\n",
            "Epoch: [137]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1138 (3.2698)  time: 0.3837  data: 0.0001  max mem: 4467\n",
            "Epoch: [137]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1138 (3.2696)  time: 0.3778  data: 0.0001  max mem: 4467\n",
            "Epoch: [137] Total time: 0:01:12 (0.4399 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1138 (3.2696)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.6659 (3.6659)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.9079  data: 3.5767  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9256 (2.9596)  acc1: 13.5417 (15.8144)  acc5: 55.2083 (55.5871)  time: 0.6152  data: 0.3902  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1701 (3.2410)  acc1: 6.2500 (12.1939)  acc5: 40.6250 (46.1699)  time: 0.4300  data: 0.2146  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4455 s / it)\n",
            "* Acc@1 12.194 Acc@5 46.170 loss 3.241\n",
            "Accuracy of the network on the 1919 test images: 12.2%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [138]  [  0/164]  eta: 0:09:46  lr: 0.000010  loss: 3.8666 (3.8666)  time: 3.5745  data: 2.8168  max mem: 4467\n",
            "Epoch: [138]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2260 (3.3649)  time: 0.8609  data: 0.2643  max mem: 4467\n",
            "Epoch: [138]  [ 20/164]  eta: 0:01:32  lr: 0.000010  loss: 3.2162 (3.3167)  time: 0.4988  data: 0.0047  max mem: 4467\n",
            "Epoch: [138]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2196 (3.2842)  time: 0.4061  data: 0.0003  max mem: 4467\n",
            "Epoch: [138]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2946 (3.3022)  time: 0.4071  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2389 (3.2872)  time: 0.4105  data: 0.0001  max mem: 4467\n",
            "Epoch: [138]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2655 (3.3160)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2809 (3.2981)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1611 (3.2857)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2075 (3.2838)  time: 0.4194  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2834 (3.2830)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2408 (3.2741)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.1643 (3.2793)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3376 (3.2877)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3432 (3.2908)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [138]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2130 (3.2842)  time: 0.3966  data: 0.0001  max mem: 4467\n",
            "Epoch: [138]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1601 (3.2771)  time: 0.3808  data: 0.0001  max mem: 4467\n",
            "Epoch: [138]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1570 (3.2768)  time: 0.3770  data: 0.0001  max mem: 4467\n",
            "Epoch: [138] Total time: 0:01:12 (0.4395 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1570 (3.2768)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.6439 (3.6439)  acc1: 0.0000 (0.0000)  acc5: 10.4167 (10.4167)  time: 3.5988  data: 3.3127  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9032 (2.9470)  acc1: 13.5417 (16.3826)  acc5: 58.3333 (56.6288)  time: 0.5971  data: 0.3830  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1799 (3.2460)  acc1: 5.2083 (11.4122)  acc5: 34.3750 (46.4825)  time: 0.4250  data: 0.2160  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4403 s / it)\n",
            "* Acc@1 11.412 Acc@5 46.483 loss 3.246\n",
            "Accuracy of the network on the 1919 test images: 11.4%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [139]  [  0/164]  eta: 0:10:11  lr: 0.000010  loss: 3.8955 (3.8955)  time: 3.7272  data: 2.9094  max mem: 4467\n",
            "Epoch: [139]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2709 (3.3442)  time: 0.8607  data: 0.2673  max mem: 4467\n",
            "Epoch: [139]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2819 (3.3313)  time: 0.4978  data: 0.0019  max mem: 4467\n",
            "Epoch: [139]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2819 (3.2966)  time: 0.4150  data: 0.0004  max mem: 4467\n",
            "Epoch: [139]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2164 (3.3088)  time: 0.4067  data: 0.0001  max mem: 4467\n",
            "Epoch: [139]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2046 (3.2876)  time: 0.4097  data: 0.0005  max mem: 4467\n",
            "Epoch: [139]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2550 (3.3124)  time: 0.4137  data: 0.0005  max mem: 4467\n",
            "Epoch: [139]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2570 (3.2994)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2050 (3.2882)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2518 (3.2940)  time: 0.4169  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2892 (3.2928)  time: 0.4182  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2892 (3.2865)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2789 (3.2919)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2903 (3.2961)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3011 (3.2961)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [139]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2177 (3.2886)  time: 0.3978  data: 0.0001  max mem: 4467\n",
            "Epoch: [139]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1539 (3.2815)  time: 0.3827  data: 0.0001  max mem: 4467\n",
            "Epoch: [139]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1539 (3.2820)  time: 0.3778  data: 0.0001  max mem: 4467\n",
            "Epoch: [139] Total time: 0:01:12 (0.4404 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1539 (3.2820)\n",
            "Test:  [ 0/20]  eta: 0:01:24  loss: 3.6437 (3.6437)  acc1: 0.0000 (0.0000)  acc5: 19.7917 (19.7917)  time: 4.2258  data: 3.9582  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9000 (2.9481)  acc1: 13.5417 (15.3409)  acc5: 55.2083 (54.6402)  time: 0.6227  data: 0.4089  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1892 (3.2476)  acc1: 4.1667 (11.0474)  acc5: 37.5000 (46.3783)  time: 0.4345  data: 0.2249  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4518 s / it)\n",
            "* Acc@1 11.047 Acc@5 46.378 loss 3.248\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [140]  [  0/164]  eta: 0:10:57  lr: 0.000010  loss: 3.9268 (3.9268)  time: 4.0088  data: 3.2651  max mem: 4467\n",
            "Epoch: [140]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2787 (3.3473)  time: 0.8618  data: 0.2995  max mem: 4467\n",
            "Epoch: [140]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2341 (3.3020)  time: 0.4825  data: 0.0016  max mem: 4467\n",
            "Epoch: [140]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2341 (3.2689)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2509 (3.2843)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1966 (3.2670)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2088 (3.3013)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2908 (3.2918)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2245 (3.2772)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2245 (3.2795)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2861 (3.2798)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2536 (3.2722)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.1967 (3.2760)  time: 0.4170  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3322 (3.2825)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2444 (3.2804)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [140]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2119 (3.2756)  time: 0.3999  data: 0.0001  max mem: 4467\n",
            "Epoch: [140]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1588 (3.2697)  time: 0.3842  data: 0.0001  max mem: 4467\n",
            "Epoch: [140]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1505 (3.2699)  time: 0.3777  data: 0.0001  max mem: 4467\n",
            "Epoch: [140] Total time: 0:01:12 (0.4407 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1505 (3.2699)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6442 (3.6442)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.7291  data: 3.4296  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8903 (2.9395)  acc1: 12.5000 (15.4356)  acc5: 53.1250 (54.6402)  time: 0.6008  data: 0.3826  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1761 (3.2579)  acc1: 3.1250 (11.2038)  acc5: 33.3333 (44.5023)  time: 0.4226  data: 0.2104  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4369 s / it)\n",
            "* Acc@1 11.204 Acc@5 44.502 loss 3.258\n",
            "Accuracy of the network on the 1919 test images: 11.2%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [141]  [  0/164]  eta: 0:10:41  lr: 0.000010  loss: 3.8138 (3.8138)  time: 3.9118  data: 3.1762  max mem: 4467\n",
            "Epoch: [141]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2908 (3.3122)  time: 0.8599  data: 0.2919  max mem: 4467\n",
            "Epoch: [141]  [ 20/164]  eta: 0:01:32  lr: 0.000010  loss: 3.2908 (3.3083)  time: 0.4801  data: 0.0018  max mem: 4467\n",
            "Epoch: [141]  [ 30/164]  eta: 0:01:15  lr: 0.000010  loss: 3.3032 (3.2871)  time: 0.4047  data: 0.0001  max mem: 4467\n",
            "Epoch: [141]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2641 (3.2978)  time: 0.4064  data: 0.0001  max mem: 4467\n",
            "Epoch: [141]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2013 (3.2802)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [ 60/164]  eta: 0:00:50  lr: 0.000010  loss: 3.1987 (3.3087)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2343 (3.2954)  time: 0.4235  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1737 (3.2814)  time: 0.4215  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1737 (3.2811)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2689 (3.2781)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2443 (3.2686)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.1812 (3.2709)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2983 (3.2785)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2743 (3.2780)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [141]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2174 (3.2711)  time: 0.3994  data: 0.0001  max mem: 4467\n",
            "Epoch: [141]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1141 (3.2619)  time: 0.3841  data: 0.0001  max mem: 4467\n",
            "Epoch: [141]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1141 (3.2623)  time: 0.3774  data: 0.0001  max mem: 4467\n",
            "Epoch: [141] Total time: 0:01:12 (0.4400 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1141 (3.2623)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6669 (3.6669)  acc1: 0.0000 (0.0000)  acc5: 14.5833 (14.5833)  time: 3.4673  data: 3.1841  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.9069 (2.9625)  acc1: 10.4167 (14.4886)  acc5: 53.1250 (54.1667)  time: 0.5954  data: 0.3793  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1626 (3.2287)  acc1: 5.2083 (11.8291)  acc5: 41.6667 (45.9614)  time: 0.4261  data: 0.2158  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4410 s / it)\n",
            "* Acc@1 11.829 Acc@5 45.961 loss 3.229\n",
            "Accuracy of the network on the 1919 test images: 11.8%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [142]  [  0/164]  eta: 0:10:42  lr: 0.000010  loss: 3.9765 (3.9765)  time: 3.9164  data: 3.0800  max mem: 4467\n",
            "Epoch: [142]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3198 (3.3508)  time: 0.8710  data: 0.2819  max mem: 4467\n",
            "Epoch: [142]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2897 (3.3165)  time: 0.4896  data: 0.0011  max mem: 4467\n",
            "Epoch: [142]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2897 (3.2950)  time: 0.4091  data: 0.0001  max mem: 4467\n",
            "Epoch: [142]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2758 (3.3084)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2343 (3.2891)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2038 (3.3170)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2309 (3.2999)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1635 (3.2883)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2132 (3.2902)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2616 (3.2850)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2395 (3.2777)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2395 (3.2794)  time: 0.4107  data: 0.0001  max mem: 4467\n",
            "Epoch: [142]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2711 (3.2811)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2020 (3.2767)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [142]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1883 (3.2703)  time: 0.3988  data: 0.0001  max mem: 4467\n",
            "Epoch: [142]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1365 (3.2643)  time: 0.3831  data: 0.0001  max mem: 4467\n",
            "Epoch: [142]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1365 (3.2650)  time: 0.3777  data: 0.0001  max mem: 4467\n",
            "Epoch: [142] Total time: 0:01:12 (0.4401 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1365 (3.2650)\n",
            "Test:  [ 0/20]  eta: 0:01:28  loss: 3.6579 (3.6579)  acc1: 0.0000 (0.0000)  acc5: 7.2917 (7.2917)  time: 4.4349  data: 4.1248  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8935 (2.9434)  acc1: 14.5833 (15.0568)  acc5: 58.3333 (56.2500)  time: 0.6173  data: 0.4017  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1703 (3.2380)  acc1: 4.1667 (11.0474)  acc5: 40.6250 (46.9515)  time: 0.4316  data: 0.2210  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4479 s / it)\n",
            "* Acc@1 11.047 Acc@5 46.952 loss 3.238\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [143]  [  0/164]  eta: 0:09:26  lr: 0.000010  loss: 3.8740 (3.8740)  time: 3.4531  data: 2.6962  max mem: 4467\n",
            "Epoch: [143]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.2661 (3.3218)  time: 0.8687  data: 0.2480  max mem: 4467\n",
            "Epoch: [143]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2382 (3.3076)  time: 0.5092  data: 0.0016  max mem: 4467\n",
            "Epoch: [143]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2382 (3.2692)  time: 0.4086  data: 0.0001  max mem: 4467\n",
            "Epoch: [143]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2745 (3.2826)  time: 0.4124  data: 0.0001  max mem: 4467\n",
            "Epoch: [143]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2197 (3.2687)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1923 (3.2935)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2071 (3.2839)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2071 (3.2762)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2456 (3.2800)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2764 (3.2802)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2198 (3.2732)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2251 (3.2766)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2825 (3.2832)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.3112 (3.2826)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1988 (3.2766)  time: 0.3990  data: 0.0002  max mem: 4467\n",
            "Epoch: [143]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1868 (3.2701)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [143]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1413 (3.2701)  time: 0.3771  data: 0.0001  max mem: 4467\n",
            "Epoch: [143] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1413 (3.2701)\n",
            "Test:  [ 0/20]  eta: 0:01:37  loss: 3.6357 (3.6357)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 4.8848  data: 4.6206  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9017 (2.9429)  acc1: 12.5000 (14.8674)  acc5: 52.0833 (54.0720)  time: 0.6355  data: 0.4201  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1455 (3.2575)  acc1: 5.2083 (10.9953)  acc5: 34.3750 (44.5023)  time: 0.4409  data: 0.2311  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4562 s / it)\n",
            "* Acc@1 10.995 Acc@5 44.502 loss 3.257\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [144]  [  0/164]  eta: 0:11:31  lr: 0.000010  loss: 3.8491 (3.8491)  time: 4.2144  data: 3.5205  max mem: 4467\n",
            "Epoch: [144]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2941 (3.3375)  time: 0.8781  data: 0.3232  max mem: 4467\n",
            "Epoch: [144]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2683 (3.2990)  time: 0.4761  data: 0.0018  max mem: 4467\n",
            "Epoch: [144]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2268 (3.2775)  time: 0.4068  data: 0.0001  max mem: 4467\n",
            "Epoch: [144]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2464 (3.2891)  time: 0.4109  data: 0.0001  max mem: 4467\n",
            "Epoch: [144]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2197 (3.2748)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2271 (3.3074)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2366 (3.2955)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1971 (3.2831)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2028 (3.2836)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2787 (3.2830)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2045 (3.2765)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1683 (3.2789)  time: 0.4118  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2489 (3.2827)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2779 (3.2828)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [144]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1919 (3.2758)  time: 0.3995  data: 0.0001  max mem: 4467\n",
            "Epoch: [144]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1415 (3.2700)  time: 0.3840  data: 0.0001  max mem: 4467\n",
            "Epoch: [144]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1415 (3.2702)  time: 0.3784  data: 0.0001  max mem: 4467\n",
            "Epoch: [144] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1415 (3.2702)\n",
            "Test:  [ 0/20]  eta: 0:01:16  loss: 3.6699 (3.6699)  acc1: 0.0000 (0.0000)  acc5: 7.2917 (7.2917)  time: 3.8038  data: 3.5064  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8879 (2.9353)  acc1: 12.5000 (14.3939)  acc5: 55.2083 (54.1667)  time: 0.6169  data: 0.3971  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1549 (3.2525)  acc1: 3.1250 (11.4122)  acc5: 29.1667 (44.3981)  time: 0.4309  data: 0.2185  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4458 s / it)\n",
            "* Acc@1 11.412 Acc@5 44.398 loss 3.253\n",
            "Accuracy of the network on the 1919 test images: 11.4%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [145]  [  0/164]  eta: 0:11:58  lr: 0.000010  loss: 3.9031 (3.9031)  time: 4.3791  data: 3.5898  max mem: 4467\n",
            "Epoch: [145]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2822 (3.3511)  time: 0.8746  data: 0.3286  max mem: 4467\n",
            "Epoch: [145]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2432 (3.3035)  time: 0.4658  data: 0.0013  max mem: 4467\n",
            "Epoch: [145]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2823 (3.2792)  time: 0.4057  data: 0.0001  max mem: 4467\n",
            "Epoch: [145]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2636 (3.2873)  time: 0.4053  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2272 (3.2676)  time: 0.4082  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2320 (3.2966)  time: 0.4086  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2680 (3.2826)  time: 0.4079  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2294 (3.2725)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2318 (3.2728)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2945 (3.2754)  time: 0.4135  data: 0.0001  max mem: 4467\n",
            "Epoch: [145]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2660 (3.2665)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2660 (3.2717)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.3123 (3.2760)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [145]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2587 (3.2744)  time: 0.4098  data: 0.0001  max mem: 4467\n",
            "Epoch: [145]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2436 (3.2696)  time: 0.3982  data: 0.0001  max mem: 4467\n",
            "Epoch: [145]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1150 (3.2621)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [145]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1150 (3.2630)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [145] Total time: 0:01:11 (0.4389 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1150 (3.2630)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.6541 (3.6541)  acc1: 0.0000 (0.0000)  acc5: 5.2083 (5.2083)  time: 4.0516  data: 3.7244  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9133 (2.9448)  acc1: 12.5000 (14.7727)  acc5: 56.2500 (54.8295)  time: 0.6182  data: 0.4005  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1403 (3.2371)  acc1: 3.1250 (11.3601)  acc5: 35.4167 (44.7108)  time: 0.4319  data: 0.2203  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4463 s / it)\n",
            "* Acc@1 11.360 Acc@5 44.711 loss 3.237\n",
            "Accuracy of the network on the 1919 test images: 11.4%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [146]  [  0/164]  eta: 0:10:59  lr: 0.000010  loss: 3.8953 (3.8953)  time: 4.0244  data: 3.3110  max mem: 4467\n",
            "Epoch: [146]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2013 (3.3310)  time: 0.8703  data: 0.3039  max mem: 4467\n",
            "Epoch: [146]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2358 (3.3016)  time: 0.4818  data: 0.0016  max mem: 4467\n",
            "Epoch: [146]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2542 (3.2702)  time: 0.4062  data: 0.0001  max mem: 4467\n",
            "Epoch: [146]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.2674 (3.2820)  time: 0.4074  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2013 (3.2661)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1597 (3.2919)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2242 (3.2841)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2242 (3.2768)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2561 (3.2769)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2738 (3.2747)  time: 0.4149  data: 0.0001  max mem: 4467\n",
            "Epoch: [146]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2609 (3.2683)  time: 0.4160  data: 0.0012  max mem: 4467\n",
            "Epoch: [146]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2350 (3.2737)  time: 0.4173  data: 0.0012  max mem: 4467\n",
            "Epoch: [146]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2683 (3.2798)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2579 (3.2774)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1935 (3.2728)  time: 0.3980  data: 0.0002  max mem: 4467\n",
            "Epoch: [146]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1855 (3.2660)  time: 0.3833  data: 0.0001  max mem: 4467\n",
            "Epoch: [146]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1754 (3.2657)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [146] Total time: 0:01:12 (0.4407 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1754 (3.2657)\n",
            "Test:  [ 0/20]  eta: 0:01:21  loss: 3.6601 (3.6601)  acc1: 0.0000 (0.0000)  acc5: 6.2500 (6.2500)  time: 4.0735  data: 3.7862  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8933 (2.9391)  acc1: 11.4583 (13.9205)  acc5: 56.2500 (56.3447)  time: 0.6251  data: 0.4054  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1315 (3.2459)  acc1: 4.1667 (10.9953)  acc5: 34.3750 (45.3882)  time: 0.4353  data: 0.2230  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4533 s / it)\n",
            "* Acc@1 10.995 Acc@5 45.388 loss 3.246\n",
            "Accuracy of the network on the 1919 test images: 11.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [147]  [  0/164]  eta: 0:11:02  lr: 0.000010  loss: 3.8456 (3.8456)  time: 4.0386  data: 3.3310  max mem: 4467\n",
            "Epoch: [147]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.3447 (3.3435)  time: 0.8826  data: 0.3091  max mem: 4467\n",
            "Epoch: [147]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2246 (3.3044)  time: 0.4918  data: 0.0036  max mem: 4467\n",
            "Epoch: [147]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2246 (3.2749)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2233 (3.2856)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2115 (3.2723)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2031 (3.2980)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2616 (3.2867)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2171 (3.2751)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2263 (3.2764)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2608 (3.2753)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2280 (3.2679)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2006 (3.2722)  time: 0.4159  data: 0.0004  max mem: 4467\n",
            "Epoch: [147]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2425 (3.2754)  time: 0.4138  data: 0.0004  max mem: 4467\n",
            "Epoch: [147]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2425 (3.2735)  time: 0.4117  data: 0.0002  max mem: 4467\n",
            "Epoch: [147]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2022 (3.2683)  time: 0.4012  data: 0.0001  max mem: 4467\n",
            "Epoch: [147]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1400 (3.2626)  time: 0.3836  data: 0.0001  max mem: 4467\n",
            "Epoch: [147]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1400 (3.2622)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [147] Total time: 0:01:12 (0.4430 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1400 (3.2622)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.6497 (3.6497)  acc1: 0.0000 (0.0000)  acc5: 7.2917 (7.2917)  time: 3.6653  data: 3.4224  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8836 (2.9448)  acc1: 15.6250 (16.0985)  acc5: 56.2500 (55.3977)  time: 0.6259  data: 0.4176  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1650 (3.2300)  acc1: 7.2917 (11.8291)  acc5: 37.5000 (47.0036)  time: 0.4361  data: 0.2297  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4505 s / it)\n",
            "* Acc@1 11.829 Acc@5 47.004 loss 3.230\n",
            "Accuracy of the network on the 1919 test images: 11.8%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [148]  [  0/164]  eta: 0:10:54  lr: 0.000010  loss: 3.8532 (3.8532)  time: 3.9885  data: 3.1899  max mem: 4467\n",
            "Epoch: [148]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2593 (3.3224)  time: 0.8767  data: 0.2916  max mem: 4467\n",
            "Epoch: [148]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2285 (3.2927)  time: 0.4884  data: 0.0010  max mem: 4467\n",
            "Epoch: [148]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2107 (3.2735)  time: 0.4081  data: 0.0001  max mem: 4467\n",
            "Epoch: [148]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2679 (3.2853)  time: 0.4083  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2248 (3.2667)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1799 (3.2935)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2780 (3.2814)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1916 (3.2729)  time: 0.4170  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2512 (3.2733)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2765 (3.2716)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1954 (3.2633)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1854 (3.2650)  time: 0.4163  data: 0.0002  max mem: 4467\n",
            "Epoch: [148]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1878 (3.2680)  time: 0.4214  data: 0.0005  max mem: 4467\n",
            "Epoch: [148]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2165 (3.2671)  time: 0.4174  data: 0.0005  max mem: 4467\n",
            "Epoch: [148]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1639 (3.2600)  time: 0.3957  data: 0.0001  max mem: 4467\n",
            "Epoch: [148]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1434 (3.2538)  time: 0.3811  data: 0.0001  max mem: 4467\n",
            "Epoch: [148]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1434 (3.2546)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [148] Total time: 0:01:12 (0.4429 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1434 (3.2546)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.6476 (3.6476)  acc1: 0.0000 (0.0000)  acc5: 7.2917 (7.2917)  time: 3.6261  data: 3.3543  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8877 (2.9405)  acc1: 11.4583 (15.4356)  acc5: 54.1667 (55.7765)  time: 0.6187  data: 0.3969  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1578 (3.2196)  acc1: 10.4167 (12.0896)  acc5: 40.6250 (47.1600)  time: 0.4321  data: 0.2183  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4470 s / it)\n",
            "* Acc@1 12.090 Acc@5 47.160 loss 3.220\n",
            "Accuracy of the network on the 1919 test images: 12.1%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [149]  [  0/164]  eta: 0:12:22  lr: 0.000010  loss: 3.8429 (3.8429)  time: 4.5251  data: 3.7944  max mem: 4467\n",
            "Epoch: [149]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.2914 (3.3426)  time: 0.8920  data: 0.3472  max mem: 4467\n",
            "Epoch: [149]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2520 (3.2938)  time: 0.4682  data: 0.0013  max mem: 4467\n",
            "Epoch: [149]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2401 (3.2764)  time: 0.4065  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2696 (3.2873)  time: 0.4086  data: 0.0003  max mem: 4467\n",
            "Epoch: [149]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2412 (3.2624)  time: 0.4127  data: 0.0003  max mem: 4467\n",
            "Epoch: [149]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2171 (3.2925)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.3004 (3.2800)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1869 (3.2655)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2232 (3.2671)  time: 0.4158  data: 0.0001  max mem: 4467\n",
            "Epoch: [149]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2498 (3.2640)  time: 0.4158  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2374 (3.2565)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2522 (3.2596)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2924 (3.2671)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2924 (3.2673)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [149]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1987 (3.2608)  time: 0.3967  data: 0.0001  max mem: 4467\n",
            "Epoch: [149]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1371 (3.2534)  time: 0.3812  data: 0.0001  max mem: 4467\n",
            "Epoch: [149]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1371 (3.2537)  time: 0.3769  data: 0.0001  max mem: 4467\n",
            "Epoch: [149] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1371 (3.2537)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.6757 (3.6757)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.9532  data: 3.6961  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8952 (2.9222)  acc1: 13.5417 (14.9621)  acc5: 54.1667 (55.5871)  time: 0.6216  data: 0.4042  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1293 (3.2129)  acc1: 5.2083 (11.8812)  acc5: 35.4167 (46.1178)  time: 0.4334  data: 0.2223  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4485 s / it)\n",
            "* Acc@1 11.881 Acc@5 46.118 loss 3.213\n",
            "Accuracy of the network on the 1919 test images: 11.9%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [150]  [  0/164]  eta: 0:10:37  lr: 0.000010  loss: 3.8678 (3.8678)  time: 3.8843  data: 3.0589  max mem: 4467\n",
            "Epoch: [150]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.3400 (3.3432)  time: 0.8765  data: 0.2893  max mem: 4467\n",
            "Epoch: [150]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2518 (3.3125)  time: 0.4955  data: 0.0063  max mem: 4467\n",
            "Epoch: [150]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2518 (3.2854)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2242 (3.2910)  time: 0.4058  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2207 (3.2649)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2059 (3.2901)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2261 (3.2752)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1786 (3.2666)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2401 (3.2665)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2457 (3.2621)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1714 (3.2532)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1824 (3.2555)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2647 (3.2603)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2410 (3.2594)  time: 0.4095  data: 0.0002  max mem: 4467\n",
            "Epoch: [150]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1991 (3.2540)  time: 0.3999  data: 0.0001  max mem: 4467\n",
            "Epoch: [150]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1445 (3.2472)  time: 0.3854  data: 0.0001  max mem: 4467\n",
            "Epoch: [150]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1445 (3.2477)  time: 0.3778  data: 0.0001  max mem: 4467\n",
            "Epoch: [150] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1445 (3.2477)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.7322 (3.7322)  acc1: 0.0000 (0.0000)  acc5: 4.1667 (4.1667)  time: 3.6133  data: 3.3559  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8969 (2.9729)  acc1: 10.4167 (12.9735)  acc5: 56.2500 (53.5985)  time: 0.6062  data: 0.3873  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1389 (3.2171)  acc1: 7.2917 (11.2559)  acc5: 34.3750 (46.4825)  time: 0.4252  data: 0.2131  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4398 s / it)\n",
            "* Acc@1 11.256 Acc@5 46.483 loss 3.217\n",
            "Accuracy of the network on the 1919 test images: 11.3%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [151]  [  0/164]  eta: 0:09:35  lr: 0.000010  loss: 3.8533 (3.8533)  time: 3.5083  data: 2.7356  max mem: 4467\n",
            "Epoch: [151]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2766 (3.3482)  time: 0.8625  data: 0.2517  max mem: 4467\n",
            "Epoch: [151]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2493 (3.3162)  time: 0.5082  data: 0.0017  max mem: 4467\n",
            "Epoch: [151]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2493 (3.2858)  time: 0.4131  data: 0.0001  max mem: 4467\n",
            "Epoch: [151]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2306 (3.2890)  time: 0.4085  data: 0.0001  max mem: 4467\n",
            "Epoch: [151]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.2036 (3.2675)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2336 (3.2921)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2789 (3.2793)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1993 (3.2706)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2230 (3.2702)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2451 (3.2674)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2267 (3.2604)  time: 0.4159  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.2187 (3.2636)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2187 (3.2666)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2112 (3.2638)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [151]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1968 (3.2576)  time: 0.4026  data: 0.0001  max mem: 4467\n",
            "Epoch: [151]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1570 (3.2523)  time: 0.3831  data: 0.0001  max mem: 4467\n",
            "Epoch: [151]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1558 (3.2518)  time: 0.3776  data: 0.0001  max mem: 4467\n",
            "Epoch: [151] Total time: 0:01:12 (0.4409 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1558 (3.2518)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6710 (3.6710)  acc1: 0.0000 (0.0000)  acc5: 9.3750 (9.3750)  time: 3.7273  data: 3.4832  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9053 (2.9439)  acc1: 15.6250 (16.0985)  acc5: 55.2083 (54.8295)  time: 0.6060  data: 0.3930  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1426 (3.2097)  acc1: 6.2500 (12.1939)  acc5: 38.5417 (46.7952)  time: 0.4273  data: 0.2191  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4425 s / it)\n",
            "* Acc@1 12.194 Acc@5 46.795 loss 3.210\n",
            "Accuracy of the network on the 1919 test images: 12.2%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [152]  [  0/164]  eta: 0:10:24  lr: 0.000010  loss: 3.7942 (3.7942)  time: 3.8081  data: 2.9605  max mem: 4467\n",
            "Epoch: [152]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2694 (3.3042)  time: 0.8788  data: 0.2723  max mem: 4467\n",
            "Epoch: [152]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2301 (3.2742)  time: 0.5010  data: 0.0020  max mem: 4467\n",
            "Epoch: [152]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2261 (3.2594)  time: 0.4098  data: 0.0003  max mem: 4467\n",
            "Epoch: [152]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2819 (3.2714)  time: 0.4069  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1873 (3.2549)  time: 0.4096  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1885 (3.2849)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2711 (3.2741)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1942 (3.2634)  time: 0.4118  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2056 (3.2649)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2528 (3.2625)  time: 0.4182  data: 0.0005  max mem: 4467\n",
            "Epoch: [152]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2340 (3.2555)  time: 0.4197  data: 0.0005  max mem: 4467\n",
            "Epoch: [152]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2097 (3.2608)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2639 (3.2670)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [152]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2380 (3.2652)  time: 0.4090  data: 0.0004  max mem: 4467\n",
            "Epoch: [152]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1827 (3.2582)  time: 0.3982  data: 0.0004  max mem: 4467\n",
            "Epoch: [152]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1115 (3.2511)  time: 0.3829  data: 0.0001  max mem: 4467\n",
            "Epoch: [152]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1115 (3.2512)  time: 0.3782  data: 0.0001  max mem: 4467\n",
            "Epoch: [152] Total time: 0:01:12 (0.4413 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1115 (3.2512)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.6716 (3.6716)  acc1: 0.0000 (0.0000)  acc5: 10.4167 (10.4167)  time: 3.9597  data: 3.7096  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9034 (2.9312)  acc1: 12.5000 (13.1629)  acc5: 55.2083 (55.9659)  time: 0.6235  data: 0.4094  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1425 (3.2130)  acc1: 8.3333 (11.8812)  acc5: 42.7083 (46.2741)  time: 0.4344  data: 0.2252  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4493 s / it)\n",
            "* Acc@1 11.881 Acc@5 46.274 loss 3.213\n",
            "Accuracy of the network on the 1919 test images: 11.9%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [153]  [  0/164]  eta: 0:10:32  lr: 0.000010  loss: 3.8910 (3.8910)  time: 3.8538  data: 3.0038  max mem: 4467\n",
            "Epoch: [153]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2277 (3.3091)  time: 0.8769  data: 0.2753  max mem: 4467\n",
            "Epoch: [153]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2277 (3.2778)  time: 0.4988  data: 0.0017  max mem: 4467\n",
            "Epoch: [153]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2772 (3.2666)  time: 0.4139  data: 0.0006  max mem: 4467\n",
            "Epoch: [153]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2772 (3.2820)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2320 (3.2642)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2159 (3.2899)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2495 (3.2813)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1720 (3.2683)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2081 (3.2710)  time: 0.4172  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2332 (3.2656)  time: 0.4199  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1853 (3.2584)  time: 0.4159  data: 0.0001  max mem: 4467\n",
            "Epoch: [153]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1711 (3.2611)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2297 (3.2634)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2858 (3.2633)  time: 0.4087  data: 0.0002  max mem: 4467\n",
            "Epoch: [153]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1746 (3.2554)  time: 0.3970  data: 0.0001  max mem: 4467\n",
            "Epoch: [153]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1243 (3.2480)  time: 0.3824  data: 0.0001  max mem: 4467\n",
            "Epoch: [153]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1243 (3.2486)  time: 0.3773  data: 0.0001  max mem: 4467\n",
            "Epoch: [153] Total time: 0:01:12 (0.4421 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1243 (3.2486)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.6779 (3.6779)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.6992  data: 3.3589  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9265 (2.9466)  acc1: 12.5000 (13.8258)  acc5: 55.2083 (54.6402)  time: 0.6085  data: 0.3891  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1768 (3.2000)  acc1: 11.4583 (12.0375)  acc5: 41.6667 (46.8473)  time: 0.4262  data: 0.2140  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4430 s / it)\n",
            "* Acc@1 12.038 Acc@5 46.847 loss 3.200\n",
            "Accuracy of the network on the 1919 test images: 12.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [154]  [  0/164]  eta: 0:11:27  lr: 0.000010  loss: 3.9121 (3.9121)  time: 4.1897  data: 3.4926  max mem: 4467\n",
            "Epoch: [154]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2757 (3.3325)  time: 0.8792  data: 0.3197  max mem: 4467\n",
            "Epoch: [154]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2278 (3.2910)  time: 0.4781  data: 0.0013  max mem: 4467\n",
            "Epoch: [154]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2278 (3.2694)  time: 0.4069  data: 0.0001  max mem: 4467\n",
            "Epoch: [154]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2274 (3.2716)  time: 0.4091  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1670 (3.2521)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1783 (3.2776)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2065 (3.2688)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1645 (3.2605)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2195 (3.2626)  time: 0.4171  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2764 (3.2582)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2420 (3.2523)  time: 0.4139  data: 0.0001  max mem: 4467\n",
            "Epoch: [154]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2487 (3.2556)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2916 (3.2592)  time: 0.4085  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1747 (3.2563)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [154]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1719 (3.2484)  time: 0.3991  data: 0.0001  max mem: 4467\n",
            "Epoch: [154]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1169 (3.2430)  time: 0.3825  data: 0.0001  max mem: 4467\n",
            "Epoch: [154]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1169 (3.2433)  time: 0.3781  data: 0.0001  max mem: 4467\n",
            "Epoch: [154] Total time: 0:01:12 (0.4415 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1169 (3.2433)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.6849 (3.6849)  acc1: 0.0000 (0.0000)  acc5: 11.4583 (11.4583)  time: 3.7519  data: 3.4997  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8595 (2.9161)  acc1: 13.5417 (14.4886)  acc5: 55.2083 (55.8712)  time: 0.6178  data: 0.4053  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1619 (3.2214)  acc1: 5.2083 (11.4643)  acc5: 38.5417 (46.3262)  time: 0.4313  data: 0.2230  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4474 s / it)\n",
            "* Acc@1 11.464 Acc@5 46.326 loss 3.221\n",
            "Accuracy of the network on the 1919 test images: 11.5%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [155]  [  0/164]  eta: 0:11:01  lr: 0.000010  loss: 3.8773 (3.8773)  time: 4.0336  data: 3.2728  max mem: 4467\n",
            "Epoch: [155]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2789 (3.3231)  time: 0.8756  data: 0.3017  max mem: 4467\n",
            "Epoch: [155]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2541 (3.2905)  time: 0.4838  data: 0.0024  max mem: 4467\n",
            "Epoch: [155]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2644 (3.2691)  time: 0.4076  data: 0.0001  max mem: 4467\n",
            "Epoch: [155]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2897 (3.2821)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2188 (3.2597)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2056 (3.2907)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2632 (3.2815)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2075 (3.2699)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2164 (3.2722)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2360 (3.2676)  time: 0.4153  data: 0.0001  max mem: 4467\n",
            "Epoch: [155]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1779 (3.2571)  time: 0.4136  data: 0.0001  max mem: 4467\n",
            "Epoch: [155]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2328 (3.2600)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2432 (3.2627)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2339 (3.2637)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [155]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2272 (3.2572)  time: 0.3989  data: 0.0001  max mem: 4467\n",
            "Epoch: [155]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1107 (3.2479)  time: 0.3832  data: 0.0001  max mem: 4467\n",
            "Epoch: [155]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1107 (3.2486)  time: 0.3782  data: 0.0001  max mem: 4467\n",
            "Epoch: [155] Total time: 0:01:12 (0.4416 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1107 (3.2486)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6820 (3.6820)  acc1: 0.0000 (0.0000)  acc5: 14.5833 (14.5833)  time: 3.7463  data: 3.4811  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8802 (2.9260)  acc1: 11.4583 (13.8258)  acc5: 54.1667 (55.5871)  time: 0.6449  data: 0.4286  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1555 (3.2185)  acc1: 6.2500 (11.8812)  acc5: 36.4583 (45.7009)  time: 0.4463  data: 0.2358  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4618 s / it)\n",
            "* Acc@1 11.881 Acc@5 45.701 loss 3.219\n",
            "Accuracy of the network on the 1919 test images: 11.9%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [156]  [  0/164]  eta: 0:10:14  lr: 0.000010  loss: 3.8894 (3.8894)  time: 3.7479  data: 2.9644  max mem: 4467\n",
            "Epoch: [156]  [ 10/164]  eta: 0:02:13  lr: 0.000010  loss: 3.2874 (3.3075)  time: 0.8684  data: 0.2726  max mem: 4467\n",
            "Epoch: [156]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2207 (3.2696)  time: 0.4975  data: 0.0018  max mem: 4467\n",
            "Epoch: [156]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2197 (3.2426)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2608 (3.2613)  time: 0.4112  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2075 (3.2411)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1897 (3.2681)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2388 (3.2584)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2013 (3.2494)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2092 (3.2511)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2423 (3.2478)  time: 0.4135  data: 0.0003  max mem: 4467\n",
            "Epoch: [156]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1810 (3.2400)  time: 0.4150  data: 0.0003  max mem: 4467\n",
            "Epoch: [156]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1501 (3.2446)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2174 (3.2507)  time: 0.4143  data: 0.0005  max mem: 4467\n",
            "Epoch: [156]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2378 (3.2505)  time: 0.4145  data: 0.0006  max mem: 4467\n",
            "Epoch: [156]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1924 (3.2457)  time: 0.4002  data: 0.0002  max mem: 4467\n",
            "Epoch: [156]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1629 (3.2404)  time: 0.3827  data: 0.0001  max mem: 4467\n",
            "Epoch: [156]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1388 (3.2407)  time: 0.3776  data: 0.0001  max mem: 4467\n",
            "Epoch: [156] Total time: 0:01:12 (0.4417 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1388 (3.2407)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.6584 (3.6584)  acc1: 0.0000 (0.0000)  acc5: 15.6250 (15.6250)  time: 3.9057  data: 3.6035  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8903 (2.9299)  acc1: 13.5417 (14.2045)  acc5: 54.1667 (56.0606)  time: 0.6069  data: 0.3926  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1385 (3.2202)  acc1: 6.2500 (11.9854)  acc5: 40.6250 (46.0136)  time: 0.4295  data: 0.2206  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4437 s / it)\n",
            "* Acc@1 11.985 Acc@5 46.014 loss 3.220\n",
            "Accuracy of the network on the 1919 test images: 12.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [157]  [  0/164]  eta: 0:11:55  lr: 0.000010  loss: 3.8409 (3.8409)  time: 4.3600  data: 3.6039  max mem: 4467\n",
            "Epoch: [157]  [ 10/164]  eta: 0:02:19  lr: 0.000010  loss: 3.2643 (3.3106)  time: 0.9028  data: 0.3326  max mem: 4467\n",
            "Epoch: [157]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.2196 (3.2829)  time: 0.4865  data: 0.0028  max mem: 4467\n",
            "Epoch: [157]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.2196 (3.2560)  time: 0.4128  data: 0.0001  max mem: 4467\n",
            "Epoch: [157]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2576 (3.2680)  time: 0.4102  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.1938 (3.2526)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.2180 (3.2843)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [ 70/164]  eta: 0:00:46  lr: 0.000010  loss: 3.2308 (3.2728)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1358 (3.2592)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2059 (3.2576)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2284 (3.2554)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1918 (3.2461)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1897 (3.2499)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2529 (3.2546)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2481 (3.2561)  time: 0.4100  data: 0.0002  max mem: 4467\n",
            "Epoch: [157]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2009 (3.2484)  time: 0.3975  data: 0.0001  max mem: 4467\n",
            "Epoch: [157]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1217 (3.2399)  time: 0.3830  data: 0.0001  max mem: 4467\n",
            "Epoch: [157]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1217 (3.2401)  time: 0.3777  data: 0.0001  max mem: 4467\n",
            "Epoch: [157] Total time: 0:01:12 (0.4434 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1217 (3.2401)\n",
            "Test:  [ 0/20]  eta: 0:01:10  loss: 3.7011 (3.7011)  acc1: 0.0000 (0.0000)  acc5: 10.4167 (10.4167)  time: 3.5286  data: 3.2281  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8367 (2.9223)  acc1: 11.4583 (13.0682)  acc5: 55.2083 (55.6818)  time: 0.6070  data: 0.3878  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1514 (3.2250)  acc1: 6.2500 (11.6206)  acc5: 31.2500 (46.0657)  time: 0.4334  data: 0.2217  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4483 s / it)\n",
            "* Acc@1 11.621 Acc@5 46.066 loss 3.225\n",
            "Accuracy of the network on the 1919 test images: 11.6%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [158]  [  0/164]  eta: 0:10:43  lr: 0.000010  loss: 3.8652 (3.8652)  time: 3.9235  data: 3.1348  max mem: 4467\n",
            "Epoch: [158]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2720 (3.3185)  time: 0.8818  data: 0.2878  max mem: 4467\n",
            "Epoch: [158]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2221 (3.2815)  time: 0.4955  data: 0.0016  max mem: 4467\n",
            "Epoch: [158]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2525 (3.2547)  time: 0.4108  data: 0.0001  max mem: 4467\n",
            "Epoch: [158]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2625 (3.2638)  time: 0.4083  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1700 (3.2474)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.2078 (3.2773)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2731 (3.2646)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1478 (3.2538)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2009 (3.2549)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2239 (3.2527)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1420 (3.2473)  time: 0.4182  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1457 (3.2498)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2486 (3.2513)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1937 (3.2490)  time: 0.4093  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1801 (3.2431)  time: 0.3989  data: 0.0002  max mem: 4467\n",
            "Epoch: [158]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1442 (3.2376)  time: 0.3842  data: 0.0001  max mem: 4467\n",
            "Epoch: [158]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1442 (3.2381)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [158] Total time: 0:01:12 (0.4422 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1442 (3.2381)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.6230 (3.6230)  acc1: 0.0000 (0.0000)  acc5: 20.8333 (20.8333)  time: 3.6761  data: 3.3933  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8534 (2.9302)  acc1: 11.4583 (16.0038)  acc5: 57.2917 (55.8712)  time: 0.6307  data: 0.4167  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1823 (3.1996)  acc1: 8.3333 (12.0375)  acc5: 39.5833 (47.8374)  time: 0.4383  data: 0.2292  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4531 s / it)\n",
            "* Acc@1 12.038 Acc@5 47.837 loss 3.200\n",
            "Accuracy of the network on the 1919 test images: 12.0%\n",
            "Max accuracy: 12.45%\n",
            "Epoch: [159]  [  0/164]  eta: 0:12:32  lr: 0.000010  loss: 3.7948 (3.7948)  time: 4.5880  data: 3.8002  max mem: 4467\n",
            "Epoch: [159]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.2832 (3.3233)  time: 0.8955  data: 0.3480  max mem: 4467\n",
            "Epoch: [159]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2741 (3.2761)  time: 0.4669  data: 0.0015  max mem: 4467\n",
            "Epoch: [159]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2165 (3.2489)  time: 0.4086  data: 0.0001  max mem: 4467\n",
            "Epoch: [159]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2473 (3.2629)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1837 (3.2432)  time: 0.4099  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1837 (3.2668)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2154 (3.2590)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1843 (3.2441)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1817 (3.2437)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2515 (3.2422)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1774 (3.2348)  time: 0.4164  data: 0.0004  max mem: 4467\n",
            "Epoch: [159]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1711 (3.2407)  time: 0.4167  data: 0.0006  max mem: 4467\n",
            "Epoch: [159]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2716 (3.2487)  time: 0.4160  data: 0.0004  max mem: 4467\n",
            "Epoch: [159]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2716 (3.2478)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [159]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2120 (3.2419)  time: 0.3982  data: 0.0001  max mem: 4467\n",
            "Epoch: [159]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1294 (3.2360)  time: 0.3817  data: 0.0001  max mem: 4467\n",
            "Epoch: [159]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1292 (3.2365)  time: 0.3777  data: 0.0001  max mem: 4467\n",
            "Epoch: [159] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1292 (3.2365)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6580 (3.6580)  acc1: 0.0000 (0.0000)  acc5: 8.3333 (8.3333)  time: 3.4556  data: 3.1914  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8411 (2.9102)  acc1: 14.5833 (15.9091)  acc5: 56.2500 (57.0076)  time: 0.6011  data: 0.3790  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1662 (3.2008)  acc1: 8.3333 (12.8192)  acc5: 38.5417 (47.9416)  time: 0.4238  data: 0.2104  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4385 s / it)\n",
            "* Acc@1 12.819 Acc@5 47.942 loss 3.201\n",
            "Accuracy of the network on the 1919 test images: 12.8%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [160]  [  0/164]  eta: 0:11:44  lr: 0.000010  loss: 3.8731 (3.8731)  time: 4.2957  data: 3.5840  max mem: 4467\n",
            "Epoch: [160]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.1900 (3.2988)  time: 0.8797  data: 0.3303  max mem: 4467\n",
            "Epoch: [160]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1900 (3.2704)  time: 0.4758  data: 0.0025  max mem: 4467\n",
            "Epoch: [160]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2055 (3.2463)  time: 0.4104  data: 0.0001  max mem: 4467\n",
            "Epoch: [160]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2737 (3.2584)  time: 0.4108  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1934 (3.2389)  time: 0.4169  data: 0.0003  max mem: 4467\n",
            "Epoch: [160]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1467 (3.2617)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1918 (3.2526)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1645 (3.2407)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1768 (3.2409)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1964 (3.2386)  time: 0.4156  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1889 (3.2319)  time: 0.4149  data: 0.0001  max mem: 4467\n",
            "Epoch: [160]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.2138 (3.2372)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2241 (3.2413)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2703 (3.2398)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [160]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1845 (3.2350)  time: 0.4009  data: 0.0001  max mem: 4467\n",
            "Epoch: [160]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1288 (3.2290)  time: 0.3842  data: 0.0001  max mem: 4467\n",
            "Epoch: [160]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1288 (3.2294)  time: 0.3788  data: 0.0001  max mem: 4467\n",
            "Epoch: [160] Total time: 0:01:12 (0.4424 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1288 (3.2294)\n",
            "Test:  [ 0/20]  eta: 0:01:11  loss: 3.6461 (3.6461)  acc1: 0.0000 (0.0000)  acc5: 25.0000 (25.0000)  time: 3.5673  data: 3.2220  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:05  loss: 2.8979 (2.9311)  acc1: 13.5417 (14.7727)  acc5: 54.1667 (56.1553)  time: 0.5990  data: 0.3808  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1180 (3.2124)  acc1: 7.2917 (12.1939)  acc5: 33.3333 (47.5769)  time: 0.4281  data: 0.2172  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4442 s / it)\n",
            "* Acc@1 12.194 Acc@5 47.577 loss 3.212\n",
            "Accuracy of the network on the 1919 test images: 12.2%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [161]  [  0/164]  eta: 0:11:58  lr: 0.000010  loss: 3.9131 (3.9131)  time: 4.3841  data: 3.6986  max mem: 4467\n",
            "Epoch: [161]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.3019 (3.3205)  time: 0.8905  data: 0.3403  max mem: 4467\n",
            "Epoch: [161]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2667 (3.2769)  time: 0.4782  data: 0.0023  max mem: 4467\n",
            "Epoch: [161]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.2065 (3.2496)  time: 0.4128  data: 0.0001  max mem: 4467\n",
            "Epoch: [161]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2065 (3.2628)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1735 (3.2398)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1209 (3.2655)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2421 (3.2594)  time: 0.4101  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1785 (3.2464)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1785 (3.2458)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2378 (3.2457)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1822 (3.2385)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1773 (3.2416)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [161]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2359 (3.2433)  time: 0.4132  data: 0.0004  max mem: 4467\n",
            "Epoch: [161]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2550 (3.2440)  time: 0.4110  data: 0.0004  max mem: 4467\n",
            "Epoch: [161]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2057 (3.2376)  time: 0.3992  data: 0.0001  max mem: 4467\n",
            "Epoch: [161]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0897 (3.2306)  time: 0.3831  data: 0.0001  max mem: 4467\n",
            "Epoch: [161]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0897 (3.2309)  time: 0.3771  data: 0.0001  max mem: 4467\n",
            "Epoch: [161] Total time: 0:01:12 (0.4425 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0897 (3.2309)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.6228 (3.6228)  acc1: 0.0000 (0.0000)  acc5: 13.5417 (13.5417)  time: 3.6756  data: 3.4145  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8851 (2.9120)  acc1: 11.4583 (15.3409)  acc5: 55.2083 (56.2500)  time: 0.6108  data: 0.3920  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1199 (3.1918)  acc1: 9.3750 (12.4544)  acc5: 38.5417 (47.3684)  time: 0.4276  data: 0.2156  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4434 s / it)\n",
            "* Acc@1 12.454 Acc@5 47.368 loss 3.192\n",
            "Accuracy of the network on the 1919 test images: 12.5%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [162]  [  0/164]  eta: 0:10:43  lr: 0.000010  loss: 3.8328 (3.8328)  time: 3.9262  data: 3.0821  max mem: 4467\n",
            "Epoch: [162]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2720 (3.2970)  time: 0.8776  data: 0.2841  max mem: 4467\n",
            "Epoch: [162]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2152 (3.2532)  time: 0.4909  data: 0.0023  max mem: 4467\n",
            "Epoch: [162]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2152 (3.2324)  time: 0.4089  data: 0.0004  max mem: 4467\n",
            "Epoch: [162]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1624 (3.2390)  time: 0.4098  data: 0.0003  max mem: 4467\n",
            "Epoch: [162]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1697 (3.2272)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1731 (3.2584)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1731 (3.2529)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1612 (3.2409)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2237 (3.2450)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2779 (3.2411)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1930 (3.2337)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [120/164]  eta: 0:00:19  lr: 0.000010  loss: 3.1633 (3.2381)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1977 (3.2414)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1947 (3.2413)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [162]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1836 (3.2377)  time: 0.4011  data: 0.0001  max mem: 4467\n",
            "Epoch: [162]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0996 (3.2311)  time: 0.3836  data: 0.0001  max mem: 4467\n",
            "Epoch: [162]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0996 (3.2316)  time: 0.3780  data: 0.0001  max mem: 4467\n",
            "Epoch: [162] Total time: 0:01:12 (0.4411 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0996 (3.2316)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.6132 (3.6132)  acc1: 0.0000 (0.0000)  acc5: 15.6250 (15.6250)  time: 3.8962  data: 3.5495  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8421 (2.9000)  acc1: 10.4167 (13.9205)  acc5: 55.2083 (57.0076)  time: 0.6339  data: 0.4126  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1117 (3.2046)  acc1: 4.1667 (11.6206)  acc5: 32.2917 (46.5347)  time: 0.4402  data: 0.2270  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4555 s / it)\n",
            "* Acc@1 11.621 Acc@5 46.535 loss 3.205\n",
            "Accuracy of the network on the 1919 test images: 11.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [163]  [  0/164]  eta: 0:10:57  lr: 0.000010  loss: 3.8452 (3.8452)  time: 4.0102  data: 3.1878  max mem: 4467\n",
            "Epoch: [163]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2615 (3.3008)  time: 0.8763  data: 0.2914  max mem: 4467\n",
            "Epoch: [163]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1792 (3.2635)  time: 0.4905  data: 0.0010  max mem: 4467\n",
            "Epoch: [163]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1783 (3.2359)  time: 0.4153  data: 0.0001  max mem: 4467\n",
            "Epoch: [163]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2341 (3.2601)  time: 0.4229  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.2058 (3.2402)  time: 0.4245  data: 0.0003  max mem: 4467\n",
            "Epoch: [163]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.1458 (3.2676)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2502 (3.2570)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1839 (3.2439)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2257 (3.2437)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2215 (3.2407)  time: 0.4166  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1757 (3.2329)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1811 (3.2342)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2123 (3.2379)  time: 0.4115  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2346 (3.2377)  time: 0.4107  data: 0.0002  max mem: 4467\n",
            "Epoch: [163]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1685 (3.2310)  time: 0.3984  data: 0.0001  max mem: 4467\n",
            "Epoch: [163]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1041 (3.2241)  time: 0.3820  data: 0.0001  max mem: 4467\n",
            "Epoch: [163]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1041 (3.2244)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [163] Total time: 0:01:12 (0.4437 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1041 (3.2244)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.6436 (3.6436)  acc1: 0.0000 (0.0000)  acc5: 14.5833 (14.5833)  time: 3.9511  data: 3.6939  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8775 (2.9023)  acc1: 15.6250 (16.1932)  acc5: 56.2500 (58.2386)  time: 0.6242  data: 0.4054  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1156 (3.1814)  acc1: 10.4167 (12.8192)  acc5: 44.7917 (48.8796)  time: 0.4349  data: 0.2230  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4497 s / it)\n",
            "* Acc@1 12.819 Acc@5 48.880 loss 3.181\n",
            "Accuracy of the network on the 1919 test images: 12.8%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [164]  [  0/164]  eta: 0:11:23  lr: 0.000010  loss: 3.8525 (3.8525)  time: 4.1648  data: 3.4289  max mem: 4467\n",
            "Epoch: [164]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.1516 (3.2913)  time: 0.8741  data: 0.3152  max mem: 4467\n",
            "Epoch: [164]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2608 (3.2635)  time: 0.4773  data: 0.0020  max mem: 4467\n",
            "Epoch: [164]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2847 (3.2358)  time: 0.4090  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2981 (3.2530)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2371 (3.2378)  time: 0.4161  data: 0.0006  max mem: 4467\n",
            "Epoch: [164]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1902 (3.2624)  time: 0.4133  data: 0.0007  max mem: 4467\n",
            "Epoch: [164]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2359 (3.2545)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.2345 (3.2481)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1908 (3.2466)  time: 0.4168  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1908 (3.2440)  time: 0.4177  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1883 (3.2388)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1883 (3.2399)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2015 (3.2434)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2514 (3.2422)  time: 0.4097  data: 0.0002  max mem: 4467\n",
            "Epoch: [164]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.2318 (3.2373)  time: 0.3976  data: 0.0001  max mem: 4467\n",
            "Epoch: [164]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0945 (3.2303)  time: 0.3827  data: 0.0001  max mem: 4467\n",
            "Epoch: [164]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1078 (3.2314)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [164] Total time: 0:01:12 (0.4421 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1078 (3.2314)\n",
            "Test:  [ 0/20]  eta: 0:01:23  loss: 3.5803 (3.5803)  acc1: 0.0000 (0.0000)  acc5: 17.7083 (17.7083)  time: 4.1765  data: 3.8658  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8178 (2.8851)  acc1: 12.5000 (16.2879)  acc5: 57.2917 (59.2803)  time: 0.6319  data: 0.4157  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1099 (3.2149)  acc1: 7.2917 (11.5164)  acc5: 39.5833 (47.5248)  time: 0.4394  data: 0.2287  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4533 s / it)\n",
            "* Acc@1 11.516 Acc@5 47.525 loss 3.215\n",
            "Accuracy of the network on the 1919 test images: 11.5%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [165]  [  0/164]  eta: 0:11:11  lr: 0.000010  loss: 3.7897 (3.7897)  time: 4.0916  data: 3.3141  max mem: 4467\n",
            "Epoch: [165]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.2275 (3.2807)  time: 0.8746  data: 0.3043  max mem: 4467\n",
            "Epoch: [165]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.2275 (3.2567)  time: 0.4851  data: 0.0018  max mem: 4467\n",
            "Epoch: [165]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2301 (3.2431)  time: 0.4137  data: 0.0001  max mem: 4467\n",
            "Epoch: [165]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2053 (3.2397)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1417 (3.2253)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1975 (3.2513)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2126 (3.2433)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1845 (3.2319)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1607 (3.2321)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2373 (3.2328)  time: 0.4181  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1755 (3.2240)  time: 0.4184  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1352 (3.2271)  time: 0.4177  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2515 (3.2284)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2321 (3.2281)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [165]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1780 (3.2238)  time: 0.4002  data: 0.0001  max mem: 4467\n",
            "Epoch: [165]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1206 (3.2155)  time: 0.3845  data: 0.0001  max mem: 4467\n",
            "Epoch: [165]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1206 (3.2165)  time: 0.3791  data: 0.0001  max mem: 4467\n",
            "Epoch: [165] Total time: 0:01:12 (0.4430 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1206 (3.2165)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6435 (3.6435)  acc1: 0.0000 (0.0000)  acc5: 21.8750 (21.8750)  time: 3.7470  data: 3.4640  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8469 (2.9074)  acc1: 13.5417 (15.6250)  acc5: 54.1667 (55.3030)  time: 0.6123  data: 0.3924  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1575 (3.2039)  acc1: 6.2500 (12.1417)  acc5: 35.4167 (47.0036)  time: 0.4289  data: 0.2159  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4455 s / it)\n",
            "* Acc@1 12.142 Acc@5 47.004 loss 3.204\n",
            "Accuracy of the network on the 1919 test images: 12.1%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [166]  [  0/164]  eta: 0:09:37  lr: 0.000010  loss: 3.8551 (3.8551)  time: 3.5215  data: 2.7153  max mem: 4467\n",
            "Epoch: [166]  [ 10/164]  eta: 0:02:12  lr: 0.000010  loss: 3.2851 (3.3050)  time: 0.8621  data: 0.2772  max mem: 4467\n",
            "Epoch: [166]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.2045 (3.2706)  time: 0.5074  data: 0.0168  max mem: 4467\n",
            "Epoch: [166]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.2045 (3.2432)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2074 (3.2540)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1849 (3.2385)  time: 0.4121  data: 0.0004  max mem: 4467\n",
            "Epoch: [166]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1663 (3.2636)  time: 0.4116  data: 0.0004  max mem: 4467\n",
            "Epoch: [166]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1720 (3.2517)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1491 (3.2342)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1738 (3.2387)  time: 0.4164  data: 0.0004  max mem: 4467\n",
            "Epoch: [166]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2699 (3.2378)  time: 0.4170  data: 0.0005  max mem: 4467\n",
            "Epoch: [166]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2111 (3.2286)  time: 0.4173  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1473 (3.2300)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1861 (3.2323)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1861 (3.2308)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [166]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1543 (3.2247)  time: 0.4008  data: 0.0001  max mem: 4467\n",
            "Epoch: [166]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0927 (3.2178)  time: 0.3840  data: 0.0001  max mem: 4467\n",
            "Epoch: [166]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0927 (3.2189)  time: 0.3783  data: 0.0001  max mem: 4467\n",
            "Epoch: [166] Total time: 0:01:12 (0.4421 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0927 (3.2189)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6527 (3.6527)  acc1: 0.0000 (0.0000)  acc5: 14.5833 (14.5833)  time: 3.4740  data: 3.2207  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8855 (2.9433)  acc1: 16.6667 (15.0568)  acc5: 54.1667 (55.2083)  time: 0.6039  data: 0.3954  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.2004 (3.1887)  acc1: 8.3333 (12.4023)  acc5: 45.8333 (47.2642)  time: 0.4257  data: 0.2199  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4407 s / it)\n",
            "* Acc@1 12.402 Acc@5 47.264 loss 3.189\n",
            "Accuracy of the network on the 1919 test images: 12.4%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [167]  [  0/164]  eta: 0:10:44  lr: 0.000010  loss: 3.8256 (3.8256)  time: 3.9320  data: 3.0887  max mem: 4467\n",
            "Epoch: [167]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.2299 (3.2834)  time: 0.8882  data: 0.2860  max mem: 4467\n",
            "Epoch: [167]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2052 (3.2479)  time: 0.5000  data: 0.0030  max mem: 4467\n",
            "Epoch: [167]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2052 (3.2236)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2421 (3.2327)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1916 (3.2156)  time: 0.4121  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1484 (3.2471)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2112 (3.2356)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1942 (3.2276)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2346 (3.2277)  time: 0.4159  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2483 (3.2280)  time: 0.4173  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.2186 (3.2223)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1911 (3.2270)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2228 (3.2318)  time: 0.4165  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2116 (3.2300)  time: 0.4143  data: 0.0002  max mem: 4467\n",
            "Epoch: [167]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1770 (3.2256)  time: 0.4013  data: 0.0001  max mem: 4467\n",
            "Epoch: [167]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1051 (3.2188)  time: 0.3847  data: 0.0001  max mem: 4467\n",
            "Epoch: [167]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0949 (3.2186)  time: 0.3782  data: 0.0001  max mem: 4467\n",
            "Epoch: [167] Total time: 0:01:12 (0.4437 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0949 (3.2186)\n",
            "Test:  [ 0/20]  eta: 0:01:19  loss: 3.6364 (3.6364)  acc1: 0.0000 (0.0000)  acc5: 11.4583 (11.4583)  time: 3.9707  data: 3.7235  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8833 (2.9107)  acc1: 14.5833 (16.0038)  acc5: 58.3333 (57.1023)  time: 0.6288  data: 0.4188  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1403 (3.1777)  acc1: 7.2917 (11.9854)  acc5: 43.7500 (49.2444)  time: 0.4375  data: 0.2304  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4538 s / it)\n",
            "* Acc@1 11.985 Acc@5 49.244 loss 3.178\n",
            "Accuracy of the network on the 1919 test images: 12.0%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [168]  [  0/164]  eta: 0:11:26  lr: 0.000010  loss: 3.8357 (3.8357)  time: 4.1866  data: 3.4027  max mem: 4467\n",
            "Epoch: [168]  [ 10/164]  eta: 0:02:19  lr: 0.000010  loss: 3.1761 (3.2522)  time: 0.9062  data: 0.3125  max mem: 4467\n",
            "Epoch: [168]  [ 20/164]  eta: 0:01:36  lr: 0.000010  loss: 3.2090 (3.2478)  time: 0.4961  data: 0.0018  max mem: 4467\n",
            "Epoch: [168]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.2148 (3.2325)  time: 0.4113  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.1882 (3.2360)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.1872 (3.2290)  time: 0.4192  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.2324 (3.2604)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 70/164]  eta: 0:00:46  lr: 0.000010  loss: 3.2324 (3.2450)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1215 (3.2341)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [ 90/164]  eta: 0:00:35  lr: 0.000010  loss: 3.1884 (3.2356)  time: 0.4186  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [100/164]  eta: 0:00:30  lr: 0.000010  loss: 3.2082 (3.2330)  time: 0.4204  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [110/164]  eta: 0:00:25  lr: 0.000010  loss: 3.1987 (3.2257)  time: 0.4179  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1719 (3.2283)  time: 0.4181  data: 0.0003  max mem: 4467\n",
            "Epoch: [168]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1795 (3.2302)  time: 0.4155  data: 0.0003  max mem: 4467\n",
            "Epoch: [168]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1741 (3.2266)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [168]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1232 (3.2223)  time: 0.3991  data: 0.0001  max mem: 4467\n",
            "Epoch: [168]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1204 (3.2164)  time: 0.3840  data: 0.0001  max mem: 4467\n",
            "Epoch: [168]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0942 (3.2172)  time: 0.3792  data: 0.0001  max mem: 4467\n",
            "Epoch: [168] Total time: 0:01:13 (0.4458 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0942 (3.2172)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.6583 (3.6583)  acc1: 0.0000 (0.0000)  acc5: 12.5000 (12.5000)  time: 3.6487  data: 3.3251  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8405 (2.9177)  acc1: 8.3333 (11.9318)  acc5: 56.2500 (55.7765)  time: 0.6224  data: 0.4006  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1625 (3.1848)  acc1: 8.3333 (11.7770)  acc5: 37.5000 (47.6811)  time: 0.4348  data: 0.2203  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4489 s / it)\n",
            "* Acc@1 11.777 Acc@5 47.681 loss 3.185\n",
            "Accuracy of the network on the 1919 test images: 11.8%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [169]  [  0/164]  eta: 0:12:21  lr: 0.000010  loss: 3.8405 (3.8405)  time: 4.5187  data: 3.8032  max mem: 4467\n",
            "Epoch: [169]  [ 10/164]  eta: 0:02:18  lr: 0.000010  loss: 3.2158 (3.2480)  time: 0.8969  data: 0.3506  max mem: 4467\n",
            "Epoch: [169]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2158 (3.2385)  time: 0.4736  data: 0.0027  max mem: 4467\n",
            "Epoch: [169]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.2270 (3.2350)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2677 (3.2482)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.2062 (3.2204)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.1469 (3.2437)  time: 0.4131  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1638 (3.2426)  time: 0.4126  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1104 (3.2308)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1709 (3.2309)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2290 (3.2309)  time: 0.4171  data: 0.0001  max mem: 4467\n",
            "Epoch: [169]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1174 (3.2229)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1784 (3.2260)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2225 (3.2305)  time: 0.4095  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2225 (3.2286)  time: 0.4098  data: 0.0002  max mem: 4467\n",
            "Epoch: [169]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1822 (3.2234)  time: 0.3988  data: 0.0001  max mem: 4467\n",
            "Epoch: [169]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1229 (3.2183)  time: 0.3821  data: 0.0001  max mem: 4467\n",
            "Epoch: [169]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1229 (3.2190)  time: 0.3770  data: 0.0001  max mem: 4467\n",
            "Epoch: [169] Total time: 0:01:12 (0.4426 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1229 (3.2190)\n",
            "Test:  [ 0/20]  eta: 0:01:26  loss: 3.6368 (3.6368)  acc1: 0.0000 (0.0000)  acc5: 19.7917 (19.7917)  time: 4.3027  data: 4.0500  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8691 (2.9269)  acc1: 11.4583 (15.1515)  acc5: 57.2917 (55.6818)  time: 0.6334  data: 0.4242  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1558 (3.1798)  acc1: 7.2917 (12.2981)  acc5: 47.9167 (49.0360)  time: 0.4400  data: 0.2334  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4547 s / it)\n",
            "* Acc@1 12.298 Acc@5 49.036 loss 3.180\n",
            "Accuracy of the network on the 1919 test images: 12.3%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [170]  [  0/164]  eta: 0:10:47  lr: 0.000010  loss: 3.8093 (3.8093)  time: 3.9491  data: 3.1445  max mem: 4467\n",
            "Epoch: [170]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.1899 (3.2413)  time: 0.8939  data: 0.2876  max mem: 4467\n",
            "Epoch: [170]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1855 (3.2304)  time: 0.5006  data: 0.0015  max mem: 4467\n",
            "Epoch: [170]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1855 (3.2143)  time: 0.4105  data: 0.0006  max mem: 4467\n",
            "Epoch: [170]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.2080 (3.2255)  time: 0.4106  data: 0.0004  max mem: 4467\n",
            "Epoch: [170]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1663 (3.2081)  time: 0.4161  data: 0.0006  max mem: 4467\n",
            "Epoch: [170]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1678 (3.2354)  time: 0.4139  data: 0.0004  max mem: 4467\n",
            "Epoch: [170]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2022 (3.2238)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1655 (3.2131)  time: 0.4145  data: 0.0001  max mem: 4467\n",
            "Epoch: [170]  [ 90/164]  eta: 0:00:35  lr: 0.000010  loss: 3.1867 (3.2147)  time: 0.4226  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1867 (3.2145)  time: 0.4251  data: 0.0003  max mem: 4467\n",
            "Epoch: [170]  [110/164]  eta: 0:00:25  lr: 0.000010  loss: 3.1537 (3.2055)  time: 0.4180  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1537 (3.2099)  time: 0.4172  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2083 (3.2136)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2146 (3.2131)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [170]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1651 (3.2073)  time: 0.3993  data: 0.0001  max mem: 4467\n",
            "Epoch: [170]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0694 (3.2006)  time: 0.3831  data: 0.0001  max mem: 4467\n",
            "Epoch: [170]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0776 (3.2015)  time: 0.3787  data: 0.0001  max mem: 4467\n",
            "Epoch: [170] Total time: 0:01:12 (0.4448 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0776 (3.2015)\n",
            "Test:  [ 0/20]  eta: 0:01:31  loss: 3.6368 (3.6368)  acc1: 0.0000 (0.0000)  acc5: 21.8750 (21.8750)  time: 4.5538  data: 4.2309  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8367 (2.9022)  acc1: 16.6667 (15.5303)  acc5: 54.1667 (58.0492)  time: 0.6630  data: 0.4463  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1228 (3.1742)  acc1: 7.2917 (11.8812)  acc5: 46.8750 (49.3486)  time: 0.4558  data: 0.2455  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4710 s / it)\n",
            "* Acc@1 11.881 Acc@5 49.349 loss 3.174\n",
            "Accuracy of the network on the 1919 test images: 11.9%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [171]  [  0/164]  eta: 0:13:16  lr: 0.000010  loss: 3.8214 (3.8214)  time: 4.8555  data: 3.7872  max mem: 4467\n",
            "Epoch: [171]  [ 10/164]  eta: 0:02:23  lr: 0.000010  loss: 3.1471 (3.2613)  time: 0.9340  data: 0.3476  max mem: 4467\n",
            "Epoch: [171]  [ 20/164]  eta: 0:01:38  lr: 0.000010  loss: 3.1633 (3.2354)  time: 0.4763  data: 0.0019  max mem: 4467\n",
            "Epoch: [171]  [ 30/164]  eta: 0:01:19  lr: 0.000010  loss: 3.2227 (3.2226)  time: 0.4109  data: 0.0001  max mem: 4467\n",
            "Epoch: [171]  [ 40/164]  eta: 0:01:08  lr: 0.000010  loss: 3.2312 (3.2366)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [ 50/164]  eta: 0:00:59  lr: 0.000010  loss: 3.1921 (3.2186)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [ 60/164]  eta: 0:00:52  lr: 0.000010  loss: 3.1363 (3.2491)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [ 70/164]  eta: 0:00:46  lr: 0.000010  loss: 3.2747 (3.2390)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1778 (3.2267)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [ 90/164]  eta: 0:00:35  lr: 0.000010  loss: 3.1678 (3.2288)  time: 0.4182  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [100/164]  eta: 0:00:30  lr: 0.000010  loss: 3.2033 (3.2281)  time: 0.4176  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [110/164]  eta: 0:00:25  lr: 0.000010  loss: 3.1870 (3.2216)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1264 (3.2220)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2047 (3.2242)  time: 0.4153  data: 0.0001  max mem: 4467\n",
            "Epoch: [171]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1993 (3.2238)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [171]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1805 (3.2173)  time: 0.4003  data: 0.0001  max mem: 4467\n",
            "Epoch: [171]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1146 (3.2125)  time: 0.3837  data: 0.0001  max mem: 4467\n",
            "Epoch: [171]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1146 (3.2136)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [171] Total time: 0:01:13 (0.4465 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1146 (3.2136)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.6501 (3.6501)  acc1: 0.0000 (0.0000)  acc5: 20.8333 (20.8333)  time: 3.6529  data: 3.3700  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8729 (2.9226)  acc1: 17.7083 (17.0455)  acc5: 54.1667 (56.1553)  time: 0.6150  data: 0.3939  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1642 (3.1821)  acc1: 8.3333 (12.6107)  acc5: 46.8750 (48.5149)  time: 0.4327  data: 0.2198  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4485 s / it)\n",
            "* Acc@1 12.611 Acc@5 48.515 loss 3.182\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [172]  [  0/164]  eta: 0:11:34  lr: 0.000010  loss: 3.7865 (3.7865)  time: 4.2347  data: 3.4920  max mem: 4467\n",
            "Epoch: [172]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.2202 (3.2680)  time: 0.8897  data: 0.3207  max mem: 4467\n",
            "Epoch: [172]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1985 (3.2487)  time: 0.4811  data: 0.0022  max mem: 4467\n",
            "Epoch: [172]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1985 (3.2206)  time: 0.4078  data: 0.0004  max mem: 4467\n",
            "Epoch: [172]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2951 (3.2406)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1332 (3.2208)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1332 (3.2449)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2139 (3.2333)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1526 (3.2213)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1797 (3.2175)  time: 0.4145  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2126 (3.2165)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1922 (3.2085)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1525 (3.2134)  time: 0.4159  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1709 (3.2156)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1928 (3.2145)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [172]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1886 (3.2083)  time: 0.4000  data: 0.0001  max mem: 4467\n",
            "Epoch: [172]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1291 (3.2020)  time: 0.3838  data: 0.0001  max mem: 4467\n",
            "Epoch: [172]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1291 (3.2027)  time: 0.3785  data: 0.0001  max mem: 4467\n",
            "Epoch: [172] Total time: 0:01:12 (0.4425 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1291 (3.2027)\n",
            "Test:  [ 0/20]  eta: 0:01:08  loss: 3.6503 (3.6503)  acc1: 0.0000 (0.0000)  acc5: 11.4583 (11.4583)  time: 3.4327  data: 3.1766  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8857 (2.9325)  acc1: 10.4167 (14.1098)  acc5: 58.3333 (56.5341)  time: 0.6001  data: 0.3870  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1884 (3.1776)  acc1: 9.3750 (12.5586)  acc5: 45.8333 (48.8275)  time: 0.4244  data: 0.2156  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4397 s / it)\n",
            "* Acc@1 12.559 Acc@5 48.828 loss 3.178\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [173]  [  0/164]  eta: 0:11:33  lr: 0.000010  loss: 3.8064 (3.8064)  time: 4.2258  data: 3.4835  max mem: 4467\n",
            "Epoch: [173]  [ 10/164]  eta: 0:02:18  lr: 0.000010  loss: 3.1593 (3.2755)  time: 0.8999  data: 0.3182  max mem: 4467\n",
            "Epoch: [173]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1951 (3.2629)  time: 0.4875  data: 0.0009  max mem: 4467\n",
            "Epoch: [173]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1972 (3.2304)  time: 0.4072  data: 0.0001  max mem: 4467\n",
            "Epoch: [173]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1921 (3.2423)  time: 0.4072  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1776 (3.2272)  time: 0.4104  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1840 (3.2539)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1921 (3.2398)  time: 0.4119  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1838 (3.2258)  time: 0.4109  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1961 (3.2253)  time: 0.4151  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2315 (3.2240)  time: 0.4186  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1433 (3.2175)  time: 0.4172  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1669 (3.2213)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2158 (3.2253)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1982 (3.2238)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1451 (3.2188)  time: 0.4022  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1407 (3.2111)  time: 0.3860  data: 0.0002  max mem: 4467\n",
            "Epoch: [173]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1407 (3.2122)  time: 0.3794  data: 0.0001  max mem: 4467\n",
            "Epoch: [173] Total time: 0:01:12 (0.4429 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1407 (3.2122)\n",
            "Test:  [ 0/20]  eta: 0:01:20  loss: 3.6137 (3.6137)  acc1: 0.0000 (0.0000)  acc5: 19.7917 (19.7917)  time: 4.0428  data: 3.7767  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8662 (2.8912)  acc1: 12.5000 (14.1098)  acc5: 56.2500 (57.9545)  time: 0.6330  data: 0.4128  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1430 (3.1637)  acc1: 10.4167 (12.6628)  acc5: 41.6667 (49.3486)  time: 0.4404  data: 0.2271  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4560 s / it)\n",
            "* Acc@1 12.663 Acc@5 49.349 loss 3.164\n",
            "Accuracy of the network on the 1919 test images: 12.7%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [174]  [  0/164]  eta: 0:11:39  lr: 0.000010  loss: 3.8493 (3.8493)  time: 4.2678  data: 3.5019  max mem: 4467\n",
            "Epoch: [174]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.1721 (3.2749)  time: 0.8887  data: 0.3217  max mem: 4467\n",
            "Epoch: [174]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1560 (3.2333)  time: 0.4817  data: 0.0019  max mem: 4467\n",
            "Epoch: [174]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1560 (3.2284)  time: 0.4089  data: 0.0001  max mem: 4467\n",
            "Epoch: [174]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1414 (3.2259)  time: 0.4097  data: 0.0001  max mem: 4467\n",
            "Epoch: [174]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1414 (3.2158)  time: 0.4184  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1754 (3.2437)  time: 0.4196  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1754 (3.2333)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1174 (3.2258)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2136 (3.2251)  time: 0.4171  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2136 (3.2238)  time: 0.4169  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1677 (3.2182)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1935 (3.2233)  time: 0.4179  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2695 (3.2244)  time: 0.4173  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2039 (3.2260)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [174]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1492 (3.2216)  time: 0.4011  data: 0.0001  max mem: 4467\n",
            "Epoch: [174]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1130 (3.2138)  time: 0.3858  data: 0.0001  max mem: 4467\n",
            "Epoch: [174]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1130 (3.2149)  time: 0.3791  data: 0.0001  max mem: 4467\n",
            "Epoch: [174] Total time: 0:01:12 (0.4446 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1130 (3.2149)\n",
            "Test:  [ 0/20]  eta: 0:01:20  loss: 3.6149 (3.6149)  acc1: 0.0000 (0.0000)  acc5: 18.7500 (18.7500)  time: 4.0345  data: 3.7590  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8360 (2.8911)  acc1: 13.5417 (15.4356)  acc5: 59.3750 (58.4280)  time: 0.6332  data: 0.4143  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1286 (3.1784)  acc1: 9.3750 (12.7150)  acc5: 41.6667 (49.0360)  time: 0.4399  data: 0.2279  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4564 s / it)\n",
            "* Acc@1 12.715 Acc@5 49.036 loss 3.178\n",
            "Accuracy of the network on the 1919 test images: 12.7%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [175]  [  0/164]  eta: 0:10:00  lr: 0.000010  loss: 3.8198 (3.8198)  time: 3.6588  data: 2.8172  max mem: 4467\n",
            "Epoch: [175]  [ 10/164]  eta: 0:02:11  lr: 0.000010  loss: 3.2305 (3.2927)  time: 0.8550  data: 0.2632  max mem: 4467\n",
            "Epoch: [175]  [ 20/164]  eta: 0:01:33  lr: 0.000010  loss: 3.1603 (3.2324)  time: 0.4962  data: 0.0041  max mem: 4467\n",
            "Epoch: [175]  [ 30/164]  eta: 0:01:16  lr: 0.000010  loss: 3.1330 (3.2127)  time: 0.4120  data: 0.0003  max mem: 4467\n",
            "Epoch: [175]  [ 40/164]  eta: 0:01:05  lr: 0.000010  loss: 3.1822 (3.2223)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [ 50/164]  eta: 0:00:57  lr: 0.000010  loss: 3.1306 (3.2042)  time: 0.4129  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1883 (3.2312)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2198 (3.2225)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.0856 (3.2135)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1648 (3.2151)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1988 (3.2119)  time: 0.4187  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1414 (3.2032)  time: 0.4210  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1558 (3.2076)  time: 0.4183  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2292 (3.2110)  time: 0.4120  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2234 (3.2101)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [175]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1855 (3.2077)  time: 0.4033  data: 0.0001  max mem: 4467\n",
            "Epoch: [175]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1217 (3.2005)  time: 0.3849  data: 0.0001  max mem: 4467\n",
            "Epoch: [175]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1217 (3.2013)  time: 0.3792  data: 0.0001  max mem: 4467\n",
            "Epoch: [175] Total time: 0:01:12 (0.4426 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1217 (3.2013)\n",
            "Test:  [ 0/20]  eta: 0:01:26  loss: 3.6299 (3.6299)  acc1: 0.0000 (0.0000)  acc5: 20.8333 (20.8333)  time: 4.3025  data: 4.0254  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8445 (2.9013)  acc1: 9.3750 (14.0152)  acc5: 58.3333 (57.7652)  time: 0.6473  data: 0.4331  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1499 (3.1971)  acc1: 5.2083 (12.4023)  acc5: 38.5417 (48.2022)  time: 0.4482  data: 0.2382  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4629 s / it)\n",
            "* Acc@1 12.402 Acc@5 48.202 loss 3.197\n",
            "Accuracy of the network on the 1919 test images: 12.4%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [176]  [  0/164]  eta: 0:10:39  lr: 0.000010  loss: 3.8283 (3.8283)  time: 3.8980  data: 3.0394  max mem: 4467\n",
            "Epoch: [176]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2375 (3.2926)  time: 0.8816  data: 0.2772  max mem: 4467\n",
            "Epoch: [176]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2133 (3.2733)  time: 0.4982  data: 0.0005  max mem: 4467\n",
            "Epoch: [176]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2133 (3.2482)  time: 0.4131  data: 0.0001  max mem: 4467\n",
            "Epoch: [176]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1751 (3.2524)  time: 0.4095  data: 0.0003  max mem: 4467\n",
            "Epoch: [176]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1285 (3.2339)  time: 0.4105  data: 0.0004  max mem: 4467\n",
            "Epoch: [176]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1414 (3.2575)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2331 (3.2474)  time: 0.4165  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1475 (3.2325)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2100 (3.2290)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2147 (3.2260)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1932 (3.2178)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1358 (3.2180)  time: 0.4158  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1674 (3.2153)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2552 (3.2180)  time: 0.4094  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1874 (3.2113)  time: 0.4004  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0853 (3.2053)  time: 0.3856  data: 0.0002  max mem: 4467\n",
            "Epoch: [176]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0783 (3.2053)  time: 0.3796  data: 0.0002  max mem: 4467\n",
            "Epoch: [176] Total time: 0:01:12 (0.4424 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0783 (3.2053)\n",
            "Test:  [ 0/20]  eta: 0:01:18  loss: 3.6564 (3.6564)  acc1: 0.0000 (0.0000)  acc5: 17.7083 (17.7083)  time: 3.9118  data: 3.6022  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8874 (2.9137)  acc1: 8.3333 (13.8258)  acc5: 55.2083 (57.3864)  time: 0.6286  data: 0.4102  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1469 (3.1722)  acc1: 7.2917 (12.0375)  acc5: 46.8750 (49.6613)  time: 0.4376  data: 0.2256  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4534 s / it)\n",
            "* Acc@1 12.038 Acc@5 49.661 loss 3.172\n",
            "Accuracy of the network on the 1919 test images: 12.0%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [177]  [  0/164]  eta: 0:10:41  lr: 0.000010  loss: 3.7955 (3.7955)  time: 3.9100  data: 3.0723  max mem: 4467\n",
            "Epoch: [177]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.2524 (3.2485)  time: 0.8901  data: 0.2838  max mem: 4467\n",
            "Epoch: [177]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1647 (3.2313)  time: 0.4973  data: 0.0032  max mem: 4467\n",
            "Epoch: [177]  [ 30/164]  eta: 0:01:18  lr: 0.000010  loss: 3.1647 (3.2077)  time: 0.4128  data: 0.0011  max mem: 4467\n",
            "Epoch: [177]  [ 40/164]  eta: 0:01:07  lr: 0.000010  loss: 3.1372 (3.2089)  time: 0.4172  data: 0.0004  max mem: 4467\n",
            "Epoch: [177]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1123 (3.1910)  time: 0.4136  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1151 (3.2206)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1620 (3.2156)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1001 (3.2081)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1475 (3.2104)  time: 0.4128  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1861 (3.2075)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1623 (3.2017)  time: 0.4135  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1439 (3.2040)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [177]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1995 (3.2097)  time: 0.4245  data: 0.0009  max mem: 4467\n",
            "Epoch: [177]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1565 (3.2102)  time: 0.4271  data: 0.0009  max mem: 4467\n",
            "Epoch: [177]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1565 (3.2051)  time: 0.4044  data: 0.0001  max mem: 4467\n",
            "Epoch: [177]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1129 (3.2000)  time: 0.3845  data: 0.0001  max mem: 4467\n",
            "Epoch: [177]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1003 (3.1997)  time: 0.3797  data: 0.0001  max mem: 4467\n",
            "Epoch: [177] Total time: 0:01:13 (0.4451 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1003 (3.1997)\n",
            "Test:  [ 0/20]  eta: 0:01:27  loss: 3.6332 (3.6332)  acc1: 0.0000 (0.0000)  acc5: 23.9583 (23.9583)  time: 4.3533  data: 4.0985  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8672 (2.9164)  acc1: 12.5000 (16.0038)  acc5: 55.2083 (57.5758)  time: 0.6315  data: 0.4155  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1542 (3.1759)  acc1: 8.3333 (12.6107)  acc5: 40.6250 (48.7233)  time: 0.4397  data: 0.2286  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4587 s / it)\n",
            "* Acc@1 12.611 Acc@5 48.723 loss 3.176\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [178]  [  0/164]  eta: 0:10:38  lr: 0.000010  loss: 3.7914 (3.7914)  time: 3.8915  data: 3.0667  max mem: 4467\n",
            "Epoch: [178]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.1689 (3.2618)  time: 0.8744  data: 0.2824  max mem: 4467\n",
            "Epoch: [178]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1689 (3.2458)  time: 0.4960  data: 0.0021  max mem: 4467\n",
            "Epoch: [178]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.2136 (3.2205)  time: 0.4146  data: 0.0001  max mem: 4467\n",
            "Epoch: [178]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1940 (3.2221)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1738 (3.2075)  time: 0.4139  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1814 (3.2426)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2044 (3.2302)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1664 (3.2200)  time: 0.4138  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1664 (3.2192)  time: 0.4150  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1983 (3.2140)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1622 (3.2062)  time: 0.4124  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1432 (3.2072)  time: 0.4127  data: 0.0004  max mem: 4467\n",
            "Epoch: [178]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1727 (3.2121)  time: 0.4155  data: 0.0003  max mem: 4467\n",
            "Epoch: [178]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1824 (3.2095)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [178]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1393 (3.2044)  time: 0.3992  data: 0.0001  max mem: 4467\n",
            "Epoch: [178]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0672 (3.1975)  time: 0.3839  data: 0.0001  max mem: 4467\n",
            "Epoch: [178]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0672 (3.1977)  time: 0.3788  data: 0.0001  max mem: 4467\n",
            "Epoch: [178] Total time: 0:01:12 (0.4424 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0672 (3.1977)\n",
            "Test:  [ 0/20]  eta: 0:01:25  loss: 3.6419 (3.6419)  acc1: 0.0000 (0.0000)  acc5: 13.5417 (13.5417)  time: 4.2830  data: 4.0256  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8415 (2.9155)  acc1: 10.4167 (15.1515)  acc5: 59.3750 (57.6705)  time: 0.6315  data: 0.4173  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1365 (3.1792)  acc1: 10.4167 (12.6107)  acc5: 39.5833 (49.1402)  time: 0.4388  data: 0.2295  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4544 s / it)\n",
            "* Acc@1 12.611 Acc@5 49.140 loss 3.179\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [179]  [  0/164]  eta: 0:10:15  lr: 0.000010  loss: 3.7670 (3.7670)  time: 3.7553  data: 2.8790  max mem: 4467\n",
            "Epoch: [179]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2949 (3.3042)  time: 0.8823  data: 0.2639  max mem: 4467\n",
            "Epoch: [179]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.2276 (3.2525)  time: 0.5056  data: 0.0013  max mem: 4467\n",
            "Epoch: [179]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1967 (3.2165)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1760 (3.2127)  time: 0.4088  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1560 (3.1945)  time: 0.4114  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1560 (3.2249)  time: 0.4122  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1932 (3.2175)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1484 (3.2063)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1484 (3.2061)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1688 (3.2032)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1142 (3.1948)  time: 0.4188  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.0673 (3.1960)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1790 (3.1976)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2254 (3.2003)  time: 0.4134  data: 0.0002  max mem: 4467\n",
            "Epoch: [179]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1870 (3.1986)  time: 0.4015  data: 0.0001  max mem: 4467\n",
            "Epoch: [179]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1102 (3.1917)  time: 0.3848  data: 0.0001  max mem: 4467\n",
            "Epoch: [179]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1102 (3.1933)  time: 0.3792  data: 0.0001  max mem: 4467\n",
            "Epoch: [179] Total time: 0:01:12 (0.4434 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1102 (3.1933)\n",
            "Test:  [ 0/20]  eta: 0:01:17  loss: 3.6328 (3.6328)  acc1: 0.0000 (0.0000)  acc5: 17.7083 (17.7083)  time: 3.8863  data: 3.5637  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8427 (2.9183)  acc1: 11.4583 (13.5417)  acc5: 53.1250 (56.4394)  time: 0.6266  data: 0.3968  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1661 (3.1920)  acc1: 6.2500 (12.6107)  acc5: 40.6250 (48.0459)  time: 0.4365  data: 0.2183  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4501 s / it)\n",
            "* Acc@1 12.611 Acc@5 48.046 loss 3.192\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 12.82%\n",
            "Epoch: [180]  [  0/164]  eta: 0:10:43  lr: 0.000010  loss: 3.8619 (3.8619)  time: 3.9219  data: 3.0331  max mem: 4467\n",
            "Epoch: [180]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.2131 (3.2755)  time: 0.8814  data: 0.2786  max mem: 4467\n",
            "Epoch: [180]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1934 (3.2398)  time: 0.4953  data: 0.0016  max mem: 4467\n",
            "Epoch: [180]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1214 (3.2272)  time: 0.4116  data: 0.0001  max mem: 4467\n",
            "Epoch: [180]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1799 (3.2332)  time: 0.4116  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1436 (3.2121)  time: 0.4153  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1468 (3.2405)  time: 0.4161  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2275 (3.2310)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1189 (3.2224)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1321 (3.2222)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1870 (3.2178)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1529 (3.2108)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.0970 (3.2119)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1530 (3.2148)  time: 0.4163  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1831 (3.2133)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [180]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1408 (3.2102)  time: 0.4001  data: 0.0001  max mem: 4467\n",
            "Epoch: [180]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1112 (3.2038)  time: 0.3826  data: 0.0001  max mem: 4467\n",
            "Epoch: [180]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.1112 (3.2047)  time: 0.3775  data: 0.0001  max mem: 4467\n",
            "Epoch: [180] Total time: 0:01:12 (0.4432 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.1112 (3.2047)\n",
            "Test:  [ 0/20]  eta: 0:01:35  loss: 3.6432 (3.6432)  acc1: 0.0000 (0.0000)  acc5: 9.3750 (9.3750)  time: 4.7721  data: 4.4617  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8479 (2.9057)  acc1: 11.4583 (16.1932)  acc5: 62.5000 (57.7652)  time: 0.6372  data: 0.4174  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1540 (3.1638)  acc1: 7.2917 (12.9755)  acc5: 43.7500 (49.4007)  time: 0.4420  data: 0.2296  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4570 s / it)\n",
            "* Acc@1 12.976 Acc@5 49.401 loss 3.164\n",
            "Accuracy of the network on the 1919 test images: 13.0%\n",
            "Max accuracy: 12.98%\n",
            "Epoch: [181]  [  0/164]  eta: 0:10:42  lr: 0.000010  loss: 3.8701 (3.8701)  time: 3.9194  data: 3.1390  max mem: 4467\n",
            "Epoch: [181]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.1858 (3.2569)  time: 0.8778  data: 0.2866  max mem: 4467\n",
            "Epoch: [181]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1651 (3.2214)  time: 0.4917  data: 0.0009  max mem: 4467\n",
            "Epoch: [181]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1651 (3.2030)  time: 0.4106  data: 0.0003  max mem: 4467\n",
            "Epoch: [181]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1522 (3.2088)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1361 (3.1938)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1908 (3.2236)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1907 (3.2103)  time: 0.4142  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1452 (3.2002)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1644 (3.2031)  time: 0.4168  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2087 (3.1993)  time: 0.4200  data: 0.0003  max mem: 4467\n",
            "Epoch: [181]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1251 (3.1924)  time: 0.4203  data: 0.0003  max mem: 4467\n",
            "Epoch: [181]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1400 (3.1960)  time: 0.4177  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2163 (3.2003)  time: 0.4174  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1732 (3.1978)  time: 0.4160  data: 0.0002  max mem: 4467\n",
            "Epoch: [181]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1095 (3.1913)  time: 0.4002  data: 0.0001  max mem: 4467\n",
            "Epoch: [181]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0807 (3.1831)  time: 0.3825  data: 0.0001  max mem: 4467\n",
            "Epoch: [181]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0807 (3.1838)  time: 0.3780  data: 0.0001  max mem: 4467\n",
            "Epoch: [181] Total time: 0:01:12 (0.4437 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0807 (3.1838)\n",
            "Test:  [ 0/20]  eta: 0:01:09  loss: 3.6035 (3.6035)  acc1: 0.0000 (0.0000)  acc5: 20.8333 (20.8333)  time: 3.4665  data: 3.1648  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8724 (2.8912)  acc1: 12.5000 (14.7727)  acc5: 55.2083 (58.6174)  time: 0.6084  data: 0.3935  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1465 (3.1514)  acc1: 11.4583 (13.2882)  acc5: 47.9167 (50.1303)  time: 0.4277  data: 0.2185  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4438 s / it)\n",
            "* Acc@1 13.288 Acc@5 50.130 loss 3.151\n",
            "Accuracy of the network on the 1919 test images: 13.3%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [182]  [  0/164]  eta: 0:11:40  lr: 0.000010  loss: 3.8765 (3.8765)  time: 4.2736  data: 3.5026  max mem: 4467\n",
            "Epoch: [182]  [ 10/164]  eta: 0:02:18  lr: 0.000010  loss: 3.2028 (3.2686)  time: 0.8964  data: 0.3197  max mem: 4467\n",
            "Epoch: [182]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1757 (3.2158)  time: 0.4827  data: 0.0008  max mem: 4467\n",
            "Epoch: [182]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1708 (3.1956)  time: 0.4076  data: 0.0001  max mem: 4467\n",
            "Epoch: [182]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1905 (3.2097)  time: 0.4107  data: 0.0001  max mem: 4467\n",
            "Epoch: [182]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1803 (3.1968)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1350 (3.2240)  time: 0.4141  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.2469 (3.2174)  time: 0.4180  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.2134 (3.2090)  time: 0.4190  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1997 (3.2112)  time: 0.4186  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2325 (3.2129)  time: 0.4169  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1191 (3.2009)  time: 0.4148  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1011 (3.2014)  time: 0.4125  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1575 (3.2044)  time: 0.4137  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1693 (3.2019)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [182]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1708 (3.2000)  time: 0.4024  data: 0.0001  max mem: 4467\n",
            "Epoch: [182]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.1319 (3.1943)  time: 0.3868  data: 0.0001  max mem: 4467\n",
            "Epoch: [182]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0942 (3.1946)  time: 0.3789  data: 0.0001  max mem: 4467\n",
            "Epoch: [182] Total time: 0:01:12 (0.4443 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0942 (3.1946)\n",
            "Test:  [ 0/20]  eta: 0:01:15  loss: 3.6418 (3.6418)  acc1: 0.0000 (0.0000)  acc5: 19.7917 (19.7917)  time: 3.7999  data: 3.4934  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8586 (2.8997)  acc1: 10.4167 (14.8674)  acc5: 58.3333 (57.7652)  time: 0.6162  data: 0.4023  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1661 (3.1509)  acc1: 7.2917 (12.5586)  acc5: 45.8333 (50.3387)  time: 0.4310  data: 0.2213  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4459 s / it)\n",
            "* Acc@1 12.559 Acc@5 50.339 loss 3.151\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [183]  [  0/164]  eta: 0:10:34  lr: 0.000010  loss: 3.7993 (3.7993)  time: 3.8699  data: 3.1136  max mem: 4467\n",
            "Epoch: [183]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.1452 (3.2257)  time: 0.8808  data: 0.2884  max mem: 4467\n",
            "Epoch: [183]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1482 (3.2063)  time: 0.4981  data: 0.0035  max mem: 4467\n",
            "Epoch: [183]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1912 (3.1922)  time: 0.4126  data: 0.0007  max mem: 4467\n",
            "Epoch: [183]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2844 (3.2034)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1840 (3.1900)  time: 0.4132  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1334 (3.2132)  time: 0.4123  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1769 (3.2073)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1420 (3.1975)  time: 0.4130  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.2026 (3.2003)  time: 0.4140  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2347 (3.1995)  time: 0.4178  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1539 (3.1908)  time: 0.4178  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1507 (3.1955)  time: 0.4172  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1507 (3.1973)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1696 (3.1959)  time: 0.4167  data: 0.0002  max mem: 4467\n",
            "Epoch: [183]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1401 (3.1887)  time: 0.4008  data: 0.0001  max mem: 4467\n",
            "Epoch: [183]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0705 (3.1830)  time: 0.3822  data: 0.0001  max mem: 4467\n",
            "Epoch: [183]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0341 (3.1821)  time: 0.3780  data: 0.0001  max mem: 4467\n",
            "Epoch: [183] Total time: 0:01:12 (0.4434 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0341 (3.1821)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6697 (3.6697)  acc1: 0.0000 (0.0000)  acc5: 20.8333 (20.8333)  time: 3.7119  data: 3.4559  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8760 (2.9063)  acc1: 11.4583 (15.0568)  acc5: 56.2500 (56.5341)  time: 0.6275  data: 0.4119  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1533 (3.1463)  acc1: 7.2917 (12.5586)  acc5: 50.0000 (49.8176)  time: 0.4370  data: 0.2266  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4520 s / it)\n",
            "* Acc@1 12.559 Acc@5 49.818 loss 3.146\n",
            "Accuracy of the network on the 1919 test images: 12.6%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [184]  [  0/164]  eta: 0:11:18  lr: 0.000010  loss: 3.7833 (3.7833)  time: 4.1357  data: 3.3575  max mem: 4467\n",
            "Epoch: [184]  [ 10/164]  eta: 0:02:17  lr: 0.000010  loss: 3.1451 (3.2713)  time: 0.8930  data: 0.3081  max mem: 4467\n",
            "Epoch: [184]  [ 20/164]  eta: 0:01:35  lr: 0.000010  loss: 3.1584 (3.2273)  time: 0.4874  data: 0.0017  max mem: 4467\n",
            "Epoch: [184]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1859 (3.1999)  time: 0.4070  data: 0.0001  max mem: 4467\n",
            "Epoch: [184]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.1687 (3.2127)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1357 (3.1954)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1003 (3.2235)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1677 (3.2163)  time: 0.4147  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [ 80/164]  eta: 0:00:40  lr: 0.000010  loss: 3.1314 (3.2070)  time: 0.4146  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1117 (3.2017)  time: 0.4152  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1693 (3.2021)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1437 (3.1938)  time: 0.4140  data: 0.0004  max mem: 4467\n",
            "Epoch: [184]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1196 (3.1984)  time: 0.4142  data: 0.0004  max mem: 4467\n",
            "Epoch: [184]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1547 (3.2006)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1673 (3.2011)  time: 0.4103  data: 0.0002  max mem: 4467\n",
            "Epoch: [184]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1616 (3.1971)  time: 0.3970  data: 0.0001  max mem: 4467\n",
            "Epoch: [184]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0892 (3.1916)  time: 0.3817  data: 0.0001  max mem: 4467\n",
            "Epoch: [184]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0892 (3.1924)  time: 0.3771  data: 0.0001  max mem: 4467\n",
            "Epoch: [184] Total time: 0:01:12 (0.4424 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0892 (3.1924)\n",
            "Test:  [ 0/20]  eta: 0:01:13  loss: 3.5614 (3.5614)  acc1: 0.0000 (0.0000)  acc5: 22.9167 (22.9167)  time: 3.6988  data: 3.4355  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8412 (2.8596)  acc1: 10.4167 (14.8674)  acc5: 57.2917 (60.4167)  time: 0.6398  data: 0.4041  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1070 (3.1470)  acc1: 10.4167 (12.4544)  acc5: 41.6667 (50.3908)  time: 0.4438  data: 0.2223  max mem: 4467\n",
            "Test: Total time: 0:00:09 (0.4590 s / it)\n",
            "* Acc@1 12.454 Acc@5 50.391 loss 3.147\n",
            "Accuracy of the network on the 1919 test images: 12.5%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [185]  [  0/164]  eta: 0:10:04  lr: 0.000010  loss: 3.7254 (3.7254)  time: 3.6839  data: 2.9075  max mem: 4467\n",
            "Epoch: [185]  [ 10/164]  eta: 0:02:14  lr: 0.000010  loss: 3.1691 (3.2492)  time: 0.8715  data: 0.2674  max mem: 4467\n",
            "Epoch: [185]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1482 (3.2180)  time: 0.5046  data: 0.0019  max mem: 4467\n",
            "Epoch: [185]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1482 (3.1981)  time: 0.4137  data: 0.0005  max mem: 4467\n",
            "Epoch: [185]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2119 (3.2126)  time: 0.4121  data: 0.0004  max mem: 4467\n",
            "Epoch: [185]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1546 (3.1955)  time: 0.4154  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1029 (3.2200)  time: 0.4149  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1153 (3.2047)  time: 0.4144  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.0885 (3.1950)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1591 (3.1981)  time: 0.4155  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.2178 (3.1951)  time: 0.4220  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1457 (3.1888)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1457 (3.1934)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.2508 (3.1968)  time: 0.4127  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.2451 (3.1967)  time: 0.4111  data: 0.0002  max mem: 4467\n",
            "Epoch: [185]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1615 (3.1908)  time: 0.3991  data: 0.0001  max mem: 4467\n",
            "Epoch: [185]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0995 (3.1863)  time: 0.3811  data: 0.0001  max mem: 4467\n",
            "Epoch: [185]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0995 (3.1872)  time: 0.3772  data: 0.0001  max mem: 4467\n",
            "Epoch: [185] Total time: 0:01:12 (0.4423 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0995 (3.1872)\n",
            "Test:  [ 0/20]  eta: 0:01:14  loss: 3.6095 (3.6095)  acc1: 0.0000 (0.0000)  acc5: 27.0833 (27.0833)  time: 3.7229  data: 3.4564  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.9087 (2.9285)  acc1: 10.4167 (14.5833)  acc5: 55.2083 (55.9659)  time: 0.6225  data: 0.4033  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1789 (3.1659)  acc1: 5.2083 (12.4023)  acc5: 45.8333 (49.5050)  time: 0.4341  data: 0.2219  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4489 s / it)\n",
            "* Acc@1 12.402 Acc@5 49.505 loss 3.166\n",
            "Accuracy of the network on the 1919 test images: 12.4%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [186]  [  0/164]  eta: 0:10:40  lr: 0.000010  loss: 3.8387 (3.8387)  time: 3.9038  data: 3.0506  max mem: 4467\n",
            "Epoch: [186]  [ 10/164]  eta: 0:02:15  lr: 0.000010  loss: 3.1435 (3.2520)  time: 0.8810  data: 0.2807  max mem: 4467\n",
            "Epoch: [186]  [ 20/164]  eta: 0:01:34  lr: 0.000010  loss: 3.1766 (3.2156)  time: 0.4948  data: 0.0019  max mem: 4467\n",
            "Epoch: [186]  [ 30/164]  eta: 0:01:17  lr: 0.000010  loss: 3.1780 (3.1991)  time: 0.4087  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 40/164]  eta: 0:01:06  lr: 0.000010  loss: 3.2077 (3.2170)  time: 0.4092  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 50/164]  eta: 0:00:58  lr: 0.000010  loss: 3.1416 (3.1970)  time: 0.4106  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 60/164]  eta: 0:00:51  lr: 0.000010  loss: 3.1167 (3.2162)  time: 0.4110  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 70/164]  eta: 0:00:45  lr: 0.000010  loss: 3.1496 (3.2077)  time: 0.4157  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 80/164]  eta: 0:00:39  lr: 0.000010  loss: 3.1329 (3.1949)  time: 0.4168  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [ 90/164]  eta: 0:00:34  lr: 0.000010  loss: 3.1609 (3.1975)  time: 0.4164  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [100/164]  eta: 0:00:29  lr: 0.000010  loss: 3.1799 (3.1971)  time: 0.4185  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [110/164]  eta: 0:00:24  lr: 0.000010  loss: 3.1549 (3.1892)  time: 0.4209  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [120/164]  eta: 0:00:20  lr: 0.000010  loss: 3.1205 (3.1972)  time: 0.4201  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [130/164]  eta: 0:00:15  lr: 0.000010  loss: 3.1655 (3.1984)  time: 0.4162  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [140/164]  eta: 0:00:10  lr: 0.000010  loss: 3.1671 (3.1986)  time: 0.4133  data: 0.0002  max mem: 4467\n",
            "Epoch: [186]  [150/164]  eta: 0:00:06  lr: 0.000010  loss: 3.1105 (3.1911)  time: 0.4012  data: 0.0001  max mem: 4467\n",
            "Epoch: [186]  [160/164]  eta: 0:00:01  lr: 0.000010  loss: 3.0616 (3.1853)  time: 0.3842  data: 0.0001  max mem: 4467\n",
            "Epoch: [186]  [163/164]  eta: 0:00:00  lr: 0.000010  loss: 3.0492 (3.1857)  time: 0.3784  data: 0.0001  max mem: 4467\n",
            "Epoch: [186] Total time: 0:01:12 (0.4434 s / it)\n",
            "Averaged stats: lr: 0.000010  loss: 3.0492 (3.1857)\n",
            "Test:  [ 0/20]  eta: 0:01:12  loss: 3.5938 (3.5938)  acc1: 0.0000 (0.0000)  acc5: 19.7917 (19.7917)  time: 3.6392  data: 3.3191  max mem: 4467\n",
            "Test:  [10/20]  eta: 0:00:06  loss: 2.8969 (2.8949)  acc1: 11.4583 (13.2576)  acc5: 56.2500 (57.7652)  time: 0.6112  data: 0.3967  max mem: 4467\n",
            "Test:  [19/20]  eta: 0:00:00  loss: 3.1377 (3.1423)  acc1: 7.2917 (12.7671)  acc5: 48.9583 (50.0782)  time: 0.4285  data: 0.2182  max mem: 4467\n",
            "Test: Total time: 0:00:08 (0.4436 s / it)\n",
            "* Acc@1 12.767 Acc@5 50.078 loss 3.142\n",
            "Accuracy of the network on the 1919 test images: 12.8%\n",
            "Max accuracy: 13.29%\n",
            "Epoch: [187]  [  0/164]  eta: 0:10:40  lr: 0.000010  loss: 3.7623 (3.7623)  time: 3.9065  data: 3.1387  max mem: 4467\n",
            "Epoch: [187]  [ 10/164]  eta: 0:02:16  lr: 0.000010  loss: 3.1642 (3.2605)  time: 0.8896  data: 0.2881  max mem: 4467\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hJrQXpcJf10s"
      },
      "source": [
        "!python main.py --eval --resume /content/deit/output/checkpoint.pth --model deit_small_patch16_224 --batch-size 32 --data-path /content/boneage-dataset-deit"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hGhhUzmErRTz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "outputId": "aeb74644-86dc-46c2-c213-70913314a66e"
      },
      "source": [
        "from PIL import Image\r\n",
        "import torch\r\n",
        "import timm\r\n",
        "\r\n",
        "import torchvision.transforms as transforms\r\n",
        "\r\n",
        "from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD\r\n",
        "\r\n",
        "model = torch.hub.load('facebookresearch/deit:main', 'deit_small_patch16_224', pretrained=False)\r\n",
        "ckpt_path = '/content/deit/output/checkpoint.pth'\r\n",
        "\r\n",
        "ckpt_dict = torch.load(ckpt_path)\r\n",
        "model.load_state_dict(ckpt_dict[\"model\"])\r\n",
        "\r\n",
        "model.eval()\r\n",
        "\r\n",
        "transform = transforms.Compose([\r\n",
        "    transforms.Resize(256, interpolation=3),  # to maintain same ratio w.r.t. 224 images\r\n",
        "    transforms.CenterCrop(224),\r\n",
        "    transforms.ToTensor(),\r\n",
        "    transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD),\r\n",
        "])\r\n",
        "\r\n",
        "img_path = '/content/dataset_3/test/capsella_bursa_pastoris/159.png'\r\n",
        "#img_path = '/content/dataset_3/test/scentless_mayweed/10.png'\r\n",
        "#img_path = '/content/dataset_3/test/small_flowered_cranesbill/1.png'\r\n",
        "img = Image.open(img_path).convert(\"RGB\")\r\n",
        "img = transform(img)[None,]\r\n",
        "\r\n",
        "out = model(img)\r\n",
        "pred_label = torch.argmax(out)\r\n",
        "print(pred_label.item())\r\n"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://github.com/facebookresearch/deit/archive/main.zip\" to /root/.cache/torch/hub/main.zip\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-21-97d423f1386c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mckpt_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'/content/deit/output/checkpoint.pth'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mckpt_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mckpt_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_state_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mckpt_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"model\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(f, map_location, pickle_module, **pickle_load_args)\u001b[0m\n\u001b[1;32m    579\u001b[0m         \u001b[0mpickle_load_args\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'encoding'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'utf-8'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    580\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 581\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0m_open_file_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mopened_file\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    582\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0m_is_zipfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopened_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    583\u001b[0m             \u001b[0;31m# The zipfile reader is going to advance the current file position.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36m_open_file_like\u001b[0;34m(name_or_buffer, mode)\u001b[0m\n\u001b[1;32m    228\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_open_file_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    229\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0m_is_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 230\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_open_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    231\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    232\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m'w'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/torch/serialization.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode)\u001b[0m\n\u001b[1;32m    209\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0m_open_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_opener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    210\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_open_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__exit__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/content/deit/output/checkpoint.pth'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V_ATupRHH0RR"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}