05_Mineral_Petrography_Classification.ipynb

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      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
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      "file_extension": ".py",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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    "colab": {
      "name": "05-Mineral Petrography Classification.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "unique-necklace"
      },
      "source": [
        "# MINERAL CLASSIFICATIONS"
      ],
      "id": "unique-necklace"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "assumed-catalyst"
      },
      "source": [
        "by : [leocd91](https://github.com/leocd91/)"
      ],
      "id": "assumed-catalyst"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FXz2VpJ-7S66"
      },
      "source": [
        "Based on LinkedIn post by [Firdaus El Afghani](https://www.linkedin.com/posts/firdaus-el-afghani-4a22a81a3_identify-rock-forming-minerals-in-petrography-activity-6806895073188573184-8JMR).\n",
        "\n",
        "Just trying to see how we can improve the score on limited data in model-centric way. Hope it inspired you guys."
      ],
      "id": "FXz2VpJ-7S66"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "worldwide-desperate"
      },
      "source": [
        "### Prepare the Package"
      ],
      "id": "worldwide-desperate"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "limiting-african"
      },
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd \n",
        "\n",
        "import matplotlib.pyplot as plt \n",
        "import matplotlib.image as mpimg\n",
        "from PIL import Image\n",
        "import seaborn as sn\n",
        "\n",
        "import torch\n",
        "import torch.nn.functional as F\n",
        "import torch.nn as nn\n",
        "import torchvision\n",
        "import torchvision.transforms as transforms\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "from torchsummary import summary\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import f1_score, accuracy_score, confusion_matrix, roc_curve, auc"
      ],
      "id": "limiting-african",
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "proud-exposure"
      },
      "source": [
        "### Prepare the Dataset"
      ],
      "id": "proud-exposure"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CKZ8wN-QLS9t",
        "outputId": "a5965c9f-9f59-4149-d3aa-3413496e124b"
      },
      "source": [
        "!gdown 'https://drive.google.com/uc?id=11PyxxTfjPB5lEr0UPi5xOJy_owCnM7oo'"
      ],
      "id": "CKZ8wN-QLS9t",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=11PyxxTfjPB5lEr0UPi5xOJy_owCnM7oo\n",
            "To: /content/Datasets.zip\n",
            "27.2MB [00:00, 58.5MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MlNqFQS7QqU-",
        "outputId": "d49f6056-cb41-4076-fad2-c1c3badce988"
      },
      "source": [
        "!unzip -n Datasets.zip"
      ],
      "id": "MlNqFQS7QqU-",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  Datasets.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eVtOHm67UxGq"
      },
      "source": [
        "!cd /content"
      ],
      "id": "eVtOHm67UxGq",
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "reported-iraqi"
      },
      "source": [
        "dirr = r\"./Datasets\""
      ],
      "id": "reported-iraqi",
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "blank-balance",
        "outputId": "f3ac0b37-8959-4145-eb73-326c490b8b28"
      },
      "source": [
        "dir_label = []\n",
        "for x in os.walk(dirr):\n",
        "    dir_label.append(x[0].split('/')[-1])\n",
        "    \n",
        "dir_label.pop(0)\n",
        "dir_label"
      ],
      "id": "blank-balance",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['hornblende',\n",
              " 'biotite',\n",
              " 'alkali_feldspar',\n",
              " 'quartz',\n",
              " 'muscovite',\n",
              " 'pyroxene',\n",
              " 'olivine',\n",
              " 'plagioclase']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "desirable-title",
        "outputId": "f75d013e-71bc-4fd8-afbb-8862a622d67b"
      },
      "source": [
        "lists=[]\n",
        "for i in range(len(dir_label)):\n",
        "    dirr_dat = dirr + '/' + dir_label[i] + '/'\n",
        "    listfile = [ ]\n",
        "    for root, dirs, files in os.walk(dirr_dat):\n",
        "        for file in files:\n",
        "            file2 = file.lower()\n",
        "            if file2.endswith(\".png\") or file2.endswith(\".jpg\"):\n",
        "                lists.append([os.path.join(root, file),i,dir_label[i]])\n",
        "                \n",
        "dataraw = pd.DataFrame(lists,columns=[\"id\",\"label\",'label_name'])\n",
        "dataraw"
      ],
      "id": "desirable-title",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>label</th>\n",
              "      <th>label_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>./Datasets/hornblende/hbl 3.jpg</td>\n",
              "      <td>0</td>\n",
              "      <td>hornblende</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>./Datasets/hornblende/hbl 8.jpg</td>\n",
              "      <td>0</td>\n",
              "      <td>hornblende</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>./Datasets/hornblende/hbl 6.jpg</td>\n",
              "      <td>0</td>\n",
              "      <td>hornblende</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>./Datasets/hornblende/hbl 9.jpg</td>\n",
              "      <td>0</td>\n",
              "      <td>hornblende</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>./Datasets/hornblende/hbl 11.jpg</td>\n",
              "      <td>0</td>\n",
              "      <td>hornblende</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>./Datasets/plagioclase/plg 18.jpg</td>\n",
              "      <td>7</td>\n",
              "      <td>plagioclase</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>./Datasets/plagioclase/plg 15.jpg</td>\n",
              "      <td>7</td>\n",
              "      <td>plagioclase</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>./Datasets/plagioclase/plg 19.jpg</td>\n",
              "      <td>7</td>\n",
              "      <td>plagioclase</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>./Datasets/plagioclase/plg 12.jpg</td>\n",
              "      <td>7</td>\n",
              "      <td>plagioclase</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>./Datasets/plagioclase/plg 4.jpg</td>\n",
              "      <td>7</td>\n",
              "      <td>plagioclase</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>211 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                    id  label   label_name\n",
              "0      ./Datasets/hornblende/hbl 3.jpg      0   hornblende\n",
              "1      ./Datasets/hornblende/hbl 8.jpg      0   hornblende\n",
              "2      ./Datasets/hornblende/hbl 6.jpg      0   hornblende\n",
              "3      ./Datasets/hornblende/hbl 9.jpg      0   hornblende\n",
              "4     ./Datasets/hornblende/hbl 11.jpg      0   hornblende\n",
              "..                                 ...    ...          ...\n",
              "206  ./Datasets/plagioclase/plg 18.jpg      7  plagioclase\n",
              "207  ./Datasets/plagioclase/plg 15.jpg      7  plagioclase\n",
              "208  ./Datasets/plagioclase/plg 19.jpg      7  plagioclase\n",
              "209  ./Datasets/plagioclase/plg 12.jpg      7  plagioclase\n",
              "210   ./Datasets/plagioclase/plg 4.jpg      7  plagioclase\n",
              "\n",
              "[211 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "interstate-ranch"
      },
      "source": [
        "### Let's explore the data"
      ],
      "id": "interstate-ranch"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "alive-burton",
        "outputId": "c8092df3-752e-4fc2-9cfb-9c11f42d2c8f"
      },
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(5):\n",
        "  ax = plt.subplot(3, 3, i + 1)\n",
        "  idx = np.random.randint(len(dataraw)-1)\n",
        "  imgs = mpimg.imread(dataraw.iloc[idx,0])  \n",
        "  plt.imshow(imgs)\n",
        "  label = dataraw.iloc[idx,1]\n",
        "  plt.title(dataraw.iloc[idx,2])\n",
        "  plt.axis(\"off\")"
      ],
      "id": "alive-burton",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 5 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "ordinary-pantyhose",
        "outputId": "6b2caf3d-fcee-48ee-afa0-a5f8830c70c7"
      },
      "source": [
        "dataraw['label_name'].value_counts().plot(kind='barh')"
      ],
      "id": "ordinary-pantyhose",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fee11a60cd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "smart-yeast"
      },
      "source": [
        "### Making sure the data splitting is fair"
      ],
      "id": "smart-yeast"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "conditional-praise"
      },
      "source": [
        "traindf, testdf = train_test_split(dataraw, test_size=0.2, stratify=dataraw['label'], random_state=3355)"
      ],
      "id": "conditional-praise",
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "alpha-property",
        "outputId": "ebeb3a87-02b1-4978-b0da-2d0d0372b6a6"
      },
      "source": [
        "traindf['label_name'].value_counts().plot(kind='barh')"
      ],
      "id": "alpha-property",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fee10cae2d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "going-reading",
        "outputId": "629dbc13-4747-431a-9af3-c1bd391b7713"
      },
      "source": [
        "testdf['label_name'].value_counts().plot(kind='barh')"
      ],
      "id": "going-reading",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fee10bd7e90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "respected-magnitude"
      },
      "source": [
        "### Making the Dataset Class and Model"
      ],
      "id": "respected-magnitude"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "desirable-springer"
      },
      "source": [
        "class imdataset(Dataset):\n",
        "    def __init__(self, data, augment=False):\n",
        "        super().__init__()\n",
        "        self.data = data.to_numpy()\n",
        "        self.augment = augment\n",
        "        self.transformations = \\\n",
        "            transforms.Compose([transforms.Resize((160,160)),\n",
        "                                transforms.ToTensor()])\n",
        "        self.transformations2 = \\\n",
        "            transforms.Compose([transforms.RandomRotation((-180,180)),\n",
        "                                transforms.RandomResizedCrop(160),\n",
        "                                transforms.Resize((160,160)),\n",
        "                                transforms.ToTensor()])\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "    \n",
        "    def __getitem__(self,index):\n",
        "        fname = self.data[index,0]\n",
        "        img = Image.open(fname).convert('RGB')\n",
        "        if self.augment == True:\n",
        "            img = self.transformations2(img)  \n",
        "        else:\n",
        "            img = self.transformations(img)  \n",
        "        label = self.data[index,1]\n",
        "        return img[:,:,:],label"
      ],
      "id": "desirable-springer",
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "published-cream",
        "outputId": "169291d7-9010-4055-dc55-656d9db9b62a"
      },
      "source": [
        "train_data = imdataset(traindf, augment=True)\n",
        "testimg,testlbl = train_data[0]\n",
        "print(testimg.shape,testlbl)"
      ],
      "id": "published-cream",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "torch.Size([3, 160, 160]) 4\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B0W12Y3oWITL",
        "outputId": "e0f3e436-7ad4-45f8-dbad-aded1e4f3ddf"
      },
      "source": [
        "testimg"
      ],
      "id": "B0W12Y3oWITL",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[[0.5412, 0.5569, 0.5412,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.5765, 0.5608, 0.5569,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.6980, 0.6902, 0.6118,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         ...,\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7569, 0.7412, 0.6863],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7608, 0.7686, 0.7569],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7608, 0.8196, 0.7882]],\n",
              "\n",
              "        [[0.7176, 0.6941, 0.6039,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.5098, 0.4745, 0.4667,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.4157, 0.4510, 0.4784,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         ...,\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7137, 0.7804, 0.7882],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7569, 0.7882, 0.7765],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.7686, 0.7961, 0.7725]],\n",
              "\n",
              "        [[0.5765, 0.5333, 0.4314,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.3961, 0.3176, 0.2706,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         [0.2510, 0.2863, 0.3176,  ..., 0.0000, 0.0000, 0.0000],\n",
              "         ...,\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.3451, 0.4706, 0.6667],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.3686, 0.4078, 0.5529],\n",
              "         [0.0000, 0.0000, 0.0000,  ..., 0.3686, 0.3608, 0.4235]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "forbidden-idaho"
      },
      "source": [
        "batch_size = 16\n",
        "num_epochs = 500\n",
        "num_classes = 8\n",
        "learning_rate = 0.001\n",
        "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')"
      ],
      "id": "forbidden-idaho",
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "unauthorized-bibliography"
      },
      "source": [
        "model = torchvision.models.resnet18(pretrained=False)\n",
        "model = model.cuda() if device else net\n",
        "num_ftrs = model.fc.in_features\n",
        "model.fc = nn.Linear(num_ftrs, num_classes)\n",
        "model.fc = model.fc.cuda()"
      ],
      "id": "unauthorized-bibliography",
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "italic-alabama",
        "outputId": "44430dbc-4f5f-49e5-c1ae-0fce8c1ca68d"
      },
      "source": [
        "summary(model, (3, 160, 160))"
      ],
      "id": "italic-alabama",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "----------------------------------------------------------------\n",
            "        Layer (type)               Output Shape         Param #\n",
            "================================================================\n",
            "            Conv2d-1           [-1, 64, 80, 80]           9,408\n",
            "       BatchNorm2d-2           [-1, 64, 80, 80]             128\n",
            "              ReLU-3           [-1, 64, 80, 80]               0\n",
            "         MaxPool2d-4           [-1, 64, 40, 40]               0\n",
            "            Conv2d-5           [-1, 64, 40, 40]          36,864\n",
            "       BatchNorm2d-6           [-1, 64, 40, 40]             128\n",
            "              ReLU-7           [-1, 64, 40, 40]               0\n",
            "            Conv2d-8           [-1, 64, 40, 40]          36,864\n",
            "       BatchNorm2d-9           [-1, 64, 40, 40]             128\n",
            "             ReLU-10           [-1, 64, 40, 40]               0\n",
            "       BasicBlock-11           [-1, 64, 40, 40]               0\n",
            "           Conv2d-12           [-1, 64, 40, 40]          36,864\n",
            "      BatchNorm2d-13           [-1, 64, 40, 40]             128\n",
            "             ReLU-14           [-1, 64, 40, 40]               0\n",
            "           Conv2d-15           [-1, 64, 40, 40]          36,864\n",
            "      BatchNorm2d-16           [-1, 64, 40, 40]             128\n",
            "             ReLU-17           [-1, 64, 40, 40]               0\n",
            "       BasicBlock-18           [-1, 64, 40, 40]               0\n",
            "           Conv2d-19          [-1, 128, 20, 20]          73,728\n",
            "      BatchNorm2d-20          [-1, 128, 20, 20]             256\n",
            "             ReLU-21          [-1, 128, 20, 20]               0\n",
            "           Conv2d-22          [-1, 128, 20, 20]         147,456\n",
            "      BatchNorm2d-23          [-1, 128, 20, 20]             256\n",
            "           Conv2d-24          [-1, 128, 20, 20]           8,192\n",
            "      BatchNorm2d-25          [-1, 128, 20, 20]             256\n",
            "             ReLU-26          [-1, 128, 20, 20]               0\n",
            "       BasicBlock-27          [-1, 128, 20, 20]               0\n",
            "           Conv2d-28          [-1, 128, 20, 20]         147,456\n",
            "      BatchNorm2d-29          [-1, 128, 20, 20]             256\n",
            "             ReLU-30          [-1, 128, 20, 20]               0\n",
            "           Conv2d-31          [-1, 128, 20, 20]         147,456\n",
            "      BatchNorm2d-32          [-1, 128, 20, 20]             256\n",
            "             ReLU-33          [-1, 128, 20, 20]               0\n",
            "       BasicBlock-34          [-1, 128, 20, 20]               0\n",
            "           Conv2d-35          [-1, 256, 10, 10]         294,912\n",
            "      BatchNorm2d-36          [-1, 256, 10, 10]             512\n",
            "             ReLU-37          [-1, 256, 10, 10]               0\n",
            "           Conv2d-38          [-1, 256, 10, 10]         589,824\n",
            "      BatchNorm2d-39          [-1, 256, 10, 10]             512\n",
            "           Conv2d-40          [-1, 256, 10, 10]          32,768\n",
            "      BatchNorm2d-41          [-1, 256, 10, 10]             512\n",
            "             ReLU-42          [-1, 256, 10, 10]               0\n",
            "       BasicBlock-43          [-1, 256, 10, 10]               0\n",
            "           Conv2d-44          [-1, 256, 10, 10]         589,824\n",
            "      BatchNorm2d-45          [-1, 256, 10, 10]             512\n",
            "             ReLU-46          [-1, 256, 10, 10]               0\n",
            "           Conv2d-47          [-1, 256, 10, 10]         589,824\n",
            "      BatchNorm2d-48          [-1, 256, 10, 10]             512\n",
            "             ReLU-49          [-1, 256, 10, 10]               0\n",
            "       BasicBlock-50          [-1, 256, 10, 10]               0\n",
            "           Conv2d-51            [-1, 512, 5, 5]       1,179,648\n",
            "      BatchNorm2d-52            [-1, 512, 5, 5]           1,024\n",
            "             ReLU-53            [-1, 512, 5, 5]               0\n",
            "           Conv2d-54            [-1, 512, 5, 5]       2,359,296\n",
            "      BatchNorm2d-55            [-1, 512, 5, 5]           1,024\n",
            "           Conv2d-56            [-1, 512, 5, 5]         131,072\n",
            "      BatchNorm2d-57            [-1, 512, 5, 5]           1,024\n",
            "             ReLU-58            [-1, 512, 5, 5]               0\n",
            "       BasicBlock-59            [-1, 512, 5, 5]               0\n",
            "           Conv2d-60            [-1, 512, 5, 5]       2,359,296\n",
            "      BatchNorm2d-61            [-1, 512, 5, 5]           1,024\n",
            "             ReLU-62            [-1, 512, 5, 5]               0\n",
            "           Conv2d-63            [-1, 512, 5, 5]       2,359,296\n",
            "      BatchNorm2d-64            [-1, 512, 5, 5]           1,024\n",
            "             ReLU-65            [-1, 512, 5, 5]               0\n",
            "       BasicBlock-66            [-1, 512, 5, 5]               0\n",
            "AdaptiveAvgPool2d-67            [-1, 512, 1, 1]               0\n",
            "           Linear-68                    [-1, 8]           4,104\n",
            "================================================================\n",
            "Total params: 11,180,616\n",
            "Trainable params: 11,180,616\n",
            "Non-trainable params: 0\n",
            "----------------------------------------------------------------\n",
            "Input size (MB): 0.29\n",
            "Forward/backward pass size (MB): 32.04\n",
            "Params size (MB): 42.65\n",
            "Estimated Total Size (MB): 74.98\n",
            "----------------------------------------------------------------\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "religious-contractor"
      },
      "source": [
        "def get_data_loaders(batch_size):\n",
        "    train_data = imdataset(traindf, augment=True)\n",
        "    test_data = imdataset(testdf)\n",
        "    \n",
        "    train_loader = DataLoader(dataset = train_data, batch_size = batch_size, shuffle=True, drop_last=True)\n",
        "    test_loader = DataLoader(dataset = test_data, batch_size = 1, shuffle=False, drop_last=True)\n",
        "    return train_loader,test_loader\n",
        "\n",
        "train_loader,test_loader=get_data_loaders(batch_size)"
      ],
      "id": "religious-contractor",
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "certain-sauce"
      },
      "source": [
        "### Setting custom loss for imbalanced classification problem\n",
        "source: https://github.com/vandit15/Class-balanced-loss-pytorch"
      ],
      "id": "certain-sauce"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "established-comparative"
      },
      "source": [
        "def focal_loss(labels, logits, alpha, gamma):\n",
        "    \"\"\"Compute the focal loss between `logits` and the ground truth `labels`.\n",
        "\n",
        "    Focal loss = -alpha_t * (1-pt)^gamma * log(pt)\n",
        "    where pt is the probability of being classified to the true class.\n",
        "    pt = p (if true class), otherwise pt = 1 - p. p = sigmoid(logit).\n",
        "\n",
        "    Args:\n",
        "      labels: A float tensor of size [batch, num_classes].\n",
        "      logits: A float tensor of size [batch, num_classes].\n",
        "      alpha: A float tensor of size [batch_size]\n",
        "        specifying per-example weight for balanced cross entropy.\n",
        "      gamma: A float scalar modulating loss from hard and easy examples.\n",
        "\n",
        "    Returns:\n",
        "      focal_loss: A float32 scalar representing normalized total loss.\n",
        "    \"\"\"    \n",
        "    BCLoss = F.binary_cross_entropy_with_logits(input = logits, target = labels,reduction = \"none\")\n",
        "\n",
        "    if gamma == 0.0:\n",
        "        modulator = 1.0\n",
        "    else:\n",
        "        modulator = torch.exp(-gamma * labels * logits - gamma * torch.log(1 + \n",
        "            torch.exp(-1.0 * logits)))\n",
        "\n",
        "    loss = modulator * BCLoss\n",
        "\n",
        "    weighted_loss = alpha * loss\n",
        "    focal_loss = torch.sum(weighted_loss)\n",
        "\n",
        "    focal_loss /= torch.sum(labels)\n",
        "    return focal_loss\n",
        "\n",
        "\n",
        "\n",
        "def CB_loss(labels, logits, samples_per_cls, no_of_classes, loss_type, beta, gamma):\n",
        "    \"\"\"Compute the Class Balanced Loss between `logits` and the ground truth `labels`.\n",
        "\n",
        "    Class Balanced Loss: ((1-beta)/(1-beta^n))*Loss(labels, logits)\n",
        "    where Loss is one of the standard losses used for Neural Networks.\n",
        "\n",
        "    Args:\n",
        "      labels: A int tensor of size [batch].\n",
        "      logits: A float tensor of size [batch, no_of_classes].\n",
        "      samples_per_cls: A python list of size [no_of_classes].\n",
        "      no_of_classes: total number of classes. int\n",
        "      loss_type: string. One of \"sigmoid\", \"focal\", \"softmax\".\n",
        "      beta: float. Hyperparameter for Class balanced loss.\n",
        "      gamma: float. Hyperparameter for Focal loss.\n",
        "\n",
        "    Returns:\n",
        "      cb_loss: A float tensor representing class balanced loss\n",
        "    \"\"\"\n",
        "    effective_num = 1.0 - np.power(beta, samples_per_cls)\n",
        "    weights = (1.0 - beta) / np.array(effective_num)\n",
        "    weights = weights / np.sum(weights) * no_of_classes\n",
        "\n",
        "    labels_one_hot = F.one_hot(labels, no_of_classes).float()\n",
        "\n",
        "    weights = torch.tensor(weights).float()\n",
        "    weights = weights.unsqueeze(0)\n",
        "    weights = weights.repeat(labels_one_hot.shape[0],1) * labels_one_hot\n",
        "    weights = weights.sum(1)\n",
        "    weights = weights.unsqueeze(1)\n",
        "    weights = weights.repeat(1,no_of_classes)\n",
        "\n",
        "    if loss_type == \"focal\":\n",
        "        cb_loss = focal_loss(labels_one_hot, logits, weights, gamma)\n",
        "    elif loss_type == \"sigmoid\":\n",
        "        cb_loss = F.binary_cross_entropy_with_logits(input = logits,target = labels_one_hot, weights = weights)\n",
        "    elif loss_type == \"softmax\":\n",
        "        pred = logits.softmax(dim = 1)\n",
        "        cb_loss = F.binary_cross_entropy(input = pred, target = labels_one_hot, weight = weights)\n",
        "    return cb_loss  "
      ],
      "id": "established-comparative",
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "based-canvas"
      },
      "source": [
        "loss_type = \"focal\"\n",
        "beta = 0.9999\n",
        "gamma = 2.0\n",
        "samples_per_cls=[]\n",
        "for i in range(0,8):\n",
        "    samples_per_cls.append(traindf[traindf['label']==i]['label'].count())"
      ],
      "id": "based-canvas",
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "informal-fraud",
        "outputId": "3de974c3-933e-40fd-b7e8-c36aff74d8a5"
      },
      "source": [
        "samples_per_cls"
      ],
      "id": "informal-fraud",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[16, 21, 29, 25, 29, 16, 16, 16]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "demanding-tyler"
      },
      "source": [
        "#SCHEME 1\n",
        "#optimizer = torch.optim.Adam(model.parameters(),lr = learning_rate)\n",
        "\n",
        "#SCHEME 2 \n",
        "#optimizer = torch.optim.SGD(model.parameters(), lr=0.1)\n",
        "#lr_sched = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(optimizer, T_0=10, T_mult=2, eta_min=0.01, last_epoch=-1)\n",
        "\n",
        "#SCHEME 3 got ~0.72\n",
        "#optimizer = torch.optim.SGD(model.parameters(), lr=0.01, momentum=0.9)\n",
        "#lr_sched = torch.optim.lr_scheduler.OneCycleLR(optimizer, max_lr=0.1, steps_per_epoch=len(train_loader), epochs=num_epochs)\n",
        "\n",
        "#SCHEME 4 \n",
        "optimizer = torch.optim.Adam(model.parameters(),lr = learning_rate)\n",
        "lr_sched = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(optimizer, T_0=10, T_mult=2, eta_min=0.0001, last_epoch=-1)"
      ],
      "id": "demanding-tyler",
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fleet-russell"
      },
      "source": [
        "### Let's train it!"
      ],
      "id": "fleet-russell"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "helpful-injection",
        "outputId": "463477c4-21dd-4f3c-8570-4926f44661a2"
      },
      "source": [
        "train_losses = []\n",
        "valid_losses = []\n",
        "train_F1 = []\n",
        "test_F1 = []\n",
        "train_acc = []\n",
        "test_acc = []\n",
        "\n",
        "final_pred=[]\n",
        "final_target=[]\n",
        "F1_old = 0.0\n",
        "\n",
        "for epoch in range(1, num_epochs + 1):\n",
        "    \n",
        "    train_loss = 0.0\n",
        "    valid_loss = 0.0\n",
        "    F1_train = 0.0\n",
        "    acc_train = 0.0\n",
        "    F1_test = 0.0\n",
        "    acc_test = 0.0  \n",
        "    \n",
        "    # train the model\n",
        "    model.train()\n",
        "    for data, target in train_loader:\n",
        "        \n",
        "        data = data.to(device)\n",
        "        target = target.to(device)\n",
        "        \n",
        "        optimizer.zero_grad()\n",
        "\n",
        "        output = model(data.float())\n",
        "\n",
        "        loss = CB_loss(target.cpu(), output.cpu(), samples_per_cls, num_classes,loss_type, beta, gamma)\n",
        "        acc = accuracy_score(target.cpu().numpy(), np.argmax(output.detach().cpu().numpy(), axis=1))\n",
        "        f1s = f1_score(target.cpu().numpy(), np.argmax(output.detach().cpu().numpy(), axis=1) ,average='micro')\n",
        "\n",
        "        loss.backward()\n",
        "\n",
        "        optimizer.step()\n",
        "        lr_sched.step()\n",
        "\n",
        "        train_loss += loss.item() * data.size(0)\n",
        "        F1_train += f1s\n",
        "        acc_train += acc\n",
        "        \n",
        "    # test the model\n",
        "    model.eval()\n",
        "    for data, target in test_loader:\n",
        "        \n",
        "        data = data.to(device)\n",
        "        target = target.to(device)\n",
        "        \n",
        "        output = model(data.float())\n",
        "\n",
        "        loss = CB_loss(target.cpu(), output.cpu(), samples_per_cls, num_classes,loss_type, beta, gamma)\n",
        "        acc = accuracy_score(target.cpu().numpy(), np.argmax(output.detach().cpu().numpy(), axis=1))\n",
        "        f1s = f1_score(target.cpu().numpy(), np.argmax(output.detach().cpu().numpy(), axis=1) ,average='micro') #welp, I think f1-micro is the same as accuracy\n",
        "\n",
        "        valid_loss += loss.item() * data.size(0)\n",
        "        F1_test += f1s\n",
        "        acc_test += acc\n",
        "        \n",
        "        if epoch==num_epochs:\n",
        "            final_target.append(target.cpu().numpy())\n",
        "            final_pred.append(np.argmax(output.detach().cpu().numpy(), axis=1))\n",
        "        \n",
        "    # calculate losses, metric, for logging\n",
        "    train_loss = train_loss/len(train_loader.sampler)\n",
        "    F1_train = F1_train/len(train_loader.sampler)*batch_size\n",
        "    acc_train = acc_train/len(train_loader.sampler)*batch_size    \n",
        "    valid_loss = valid_loss/len(test_loader.sampler)*batch_size\n",
        "    F1_test = F1_test/len(test_loader.sampler)*1\n",
        "    acc_test = acc_test/len(test_loader.sampler)*1\n",
        "    train_losses.append(train_loss)\n",
        "    valid_losses.append(valid_loss)\n",
        "    train_F1.append(F1_train)\n",
        "    test_F1.append(F1_test)\n",
        "    train_acc.append(acc_train)\n",
        "    test_acc.append(acc_test)      \n",
        "    \n",
        "    #save best model\n",
        "    if F1_old < F1_test:\n",
        "      F1_old = F1_test\n",
        "      torch.save(model.state_dict(), 'modelresnetcilikbest.ckpt')\n",
        "\n",
        "    # print logging\n",
        "    print('Epoch: {} \\tTraining Loss: {:.6f} \\tValidation Loss: {:.6f} \\tF1_train: {:.6f} \\tF1_test: {:.6f}'.format(\n",
        "        epoch, train_loss, valid_loss, F1_train, F1_test))\n",
        "print('Best F1:', F1_old)"
      ],
      "id": "helpful-injection",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch: 1 \tTraining Loss: 1.114524 \tValidation Loss: 218.885181 \tF1_train: 0.220238 \tF1_test: 0.093023\n",
            "Epoch: 2 \tTraining Loss: 0.875561 \tValidation Loss: 103.644109 \tF1_train: 0.238095 \tF1_test: 0.139535\n",
            "Epoch: 3 \tTraining Loss: 0.728248 \tValidation Loss: 22.537260 \tF1_train: 0.321429 \tF1_test: 0.162791\n",
            "Epoch: 4 \tTraining Loss: 0.647118 \tValidation Loss: 17.996326 \tF1_train: 0.339286 \tF1_test: 0.162791\n",
            "Epoch: 5 \tTraining Loss: 0.705134 \tValidation Loss: 21.487019 \tF1_train: 0.261905 \tF1_test: 0.232558\n",
            "Epoch: 6 \tTraining Loss: 0.589549 \tValidation Loss: 13.707475 \tF1_train: 0.434524 \tF1_test: 0.209302\n",
            "Epoch: 7 \tTraining Loss: 0.518865 \tValidation Loss: 11.890266 \tF1_train: 0.434524 \tF1_test: 0.325581\n",
            "Epoch: 8 \tTraining Loss: 0.565420 \tValidation Loss: 14.107900 \tF1_train: 0.470238 \tF1_test: 0.302326\n",
            "Epoch: 9 \tTraining Loss: 0.566904 \tValidation Loss: 16.457835 \tF1_train: 0.416667 \tF1_test: 0.279070\n",
            "Epoch: 10 \tTraining Loss: 0.560413 \tValidation Loss: 29.563038 \tF1_train: 0.410714 \tF1_test: 0.279070\n",
            "Epoch: 11 \tTraining Loss: 0.573410 \tValidation Loss: 17.107784 \tF1_train: 0.446429 \tF1_test: 0.418605\n",
            "Epoch: 12 \tTraining Loss: 0.506655 \tValidation Loss: 15.609917 \tF1_train: 0.404762 \tF1_test: 0.372093\n",
            "Epoch: 13 \tTraining Loss: 0.446641 \tValidation Loss: 12.016354 \tF1_train: 0.565476 \tF1_test: 0.488372\n",
            "Epoch: 14 \tTraining Loss: 0.465642 \tValidation Loss: 10.521037 \tF1_train: 0.505952 \tF1_test: 0.441860\n",
            "Epoch: 15 \tTraining Loss: 0.404490 \tValidation Loss: 10.833536 \tF1_train: 0.547619 \tF1_test: 0.465116\n",
            "Epoch: 16 \tTraining Loss: 0.528630 \tValidation Loss: 17.350467 \tF1_train: 0.452381 \tF1_test: 0.255814\n",
            "Epoch: 17 \tTraining Loss: 0.564524 \tValidation Loss: 14.091338 \tF1_train: 0.416667 \tF1_test: 0.395349\n",
            "Epoch: 18 \tTraining Loss: 0.560966 \tValidation Loss: 23.569605 \tF1_train: 0.529762 \tF1_test: 0.232558\n",
            "Epoch: 19 \tTraining Loss: 0.570068 \tValidation Loss: 27.789280 \tF1_train: 0.440476 \tF1_test: 0.348837\n",
            "Epoch: 20 \tTraining Loss: 0.491628 \tValidation Loss: 17.967548 \tF1_train: 0.488095 \tF1_test: 0.279070\n",
            "Epoch: 21 \tTraining Loss: 0.461731 \tValidation Loss: 15.176311 \tF1_train: 0.476190 \tF1_test: 0.441860\n",
            "Epoch: 22 \tTraining Loss: 0.477766 \tValidation Loss: 12.530262 \tF1_train: 0.523810 \tF1_test: 0.511628\n",
            "Epoch: 23 \tTraining Loss: 0.448505 \tValidation Loss: 14.450717 \tF1_train: 0.517857 \tF1_test: 0.302326\n",
            "Epoch: 24 \tTraining Loss: 0.451825 \tValidation Loss: 13.399675 \tF1_train: 0.523810 \tF1_test: 0.488372\n",
            "Epoch: 25 \tTraining Loss: 0.430462 \tValidation Loss: 9.896643 \tF1_train: 0.577381 \tF1_test: 0.558140\n",
            "Epoch: 26 \tTraining Loss: 0.391013 \tValidation Loss: 10.556210 \tF1_train: 0.607143 \tF1_test: 0.511628\n",
            "Epoch: 27 \tTraining Loss: 0.404455 \tValidation Loss: 11.707252 \tF1_train: 0.559524 \tF1_test: 0.581395\n",
            "Epoch: 28 \tTraining Loss: 0.416915 \tValidation Loss: 11.718439 \tF1_train: 0.613095 \tF1_test: 0.534884\n",
            "Epoch: 29 \tTraining Loss: 0.374898 \tValidation Loss: 10.085301 \tF1_train: 0.672619 \tF1_test: 0.488372\n",
            "Epoch: 30 \tTraining Loss: 0.388867 \tValidation Loss: 9.962878 \tF1_train: 0.625000 \tF1_test: 0.534884\n",
            "Epoch: 31 \tTraining Loss: 0.339157 \tValidation Loss: 9.923815 \tF1_train: 0.708333 \tF1_test: 0.534884\n",
            "Epoch: 32 \tTraining Loss: 0.369931 \tValidation Loss: 21.910293 \tF1_train: 0.636905 \tF1_test: 0.348837\n",
            "Epoch: 33 \tTraining Loss: 0.394161 \tValidation Loss: 17.520259 \tF1_train: 0.589286 \tF1_test: 0.511628\n",
            "Epoch: 34 \tTraining Loss: 0.548668 \tValidation Loss: 18.532974 \tF1_train: 0.470238 \tF1_test: 0.302326\n",
            "Epoch: 35 \tTraining Loss: 0.518249 \tValidation Loss: 16.547211 \tF1_train: 0.446429 \tF1_test: 0.302326\n",
            "Epoch: 36 \tTraining Loss: 0.484323 \tValidation Loss: 15.400179 \tF1_train: 0.511905 \tF1_test: 0.418605\n",
            "Epoch: 37 \tTraining Loss: 0.440487 \tValidation Loss: 31.443485 \tF1_train: 0.547619 \tF1_test: 0.186047\n",
            "Epoch: 38 \tTraining Loss: 0.468041 \tValidation Loss: 15.012752 \tF1_train: 0.559524 \tF1_test: 0.441860\n",
            "Epoch: 39 \tTraining Loss: 0.438073 \tValidation Loss: 16.731794 \tF1_train: 0.511905 \tF1_test: 0.302326\n",
            "Epoch: 40 \tTraining Loss: 0.449913 \tValidation Loss: 19.374918 \tF1_train: 0.535714 \tF1_test: 0.279070\n",
            "Epoch: 41 \tTraining Loss: 0.466657 \tValidation Loss: 15.434821 \tF1_train: 0.511905 \tF1_test: 0.325581\n",
            "Epoch: 42 \tTraining Loss: 0.483438 \tValidation Loss: 14.415667 \tF1_train: 0.488095 \tF1_test: 0.441860\n",
            "Epoch: 43 \tTraining Loss: 0.423217 \tValidation Loss: 14.614987 \tF1_train: 0.601190 \tF1_test: 0.395349\n",
            "Epoch: 44 \tTraining Loss: 0.475005 \tValidation Loss: 13.609503 \tF1_train: 0.517857 \tF1_test: 0.488372\n",
            "Epoch: 45 \tTraining Loss: 0.403640 \tValidation Loss: 12.899632 \tF1_train: 0.541667 \tF1_test: 0.488372\n",
            "Epoch: 46 \tTraining Loss: 0.447892 \tValidation Loss: 15.169287 \tF1_train: 0.541667 \tF1_test: 0.372093\n",
            "Epoch: 47 \tTraining Loss: 0.406690 \tValidation Loss: 13.312878 \tF1_train: 0.583333 \tF1_test: 0.325581\n",
            "Epoch: 48 \tTraining Loss: 0.366407 \tValidation Loss: 12.217104 \tF1_train: 0.630952 \tF1_test: 0.558140\n",
            "Epoch: 49 \tTraining Loss: 0.383721 \tValidation Loss: 13.272500 \tF1_train: 0.613095 \tF1_test: 0.441860\n",
            "Epoch: 50 \tTraining Loss: 0.385718 \tValidation Loss: 13.802927 \tF1_train: 0.595238 \tF1_test: 0.534884\n",
            "Epoch: 51 \tTraining Loss: 0.364760 \tValidation Loss: 13.712660 \tF1_train: 0.613095 \tF1_test: 0.558140\n",
            "Epoch: 52 \tTraining Loss: 0.303903 \tValidation Loss: 11.784563 \tF1_train: 0.696429 \tF1_test: 0.534884\n",
            "Epoch: 53 \tTraining Loss: 0.298890 \tValidation Loss: 10.733329 \tF1_train: 0.726190 \tF1_test: 0.627907\n",
            "Epoch: 54 \tTraining Loss: 0.321670 \tValidation Loss: 11.381322 \tF1_train: 0.642857 \tF1_test: 0.465116\n",
            "Epoch: 55 \tTraining Loss: 0.276120 \tValidation Loss: 12.353826 \tF1_train: 0.732143 \tF1_test: 0.441860\n",
            "Epoch: 56 \tTraining Loss: 0.307340 \tValidation Loss: 13.039479 \tF1_train: 0.702381 \tF1_test: 0.465116\n",
            "Epoch: 57 \tTraining Loss: 0.284966 \tValidation Loss: 11.626954 \tF1_train: 0.732143 \tF1_test: 0.511628\n",
            "Epoch: 58 \tTraining Loss: 0.342973 \tValidation Loss: 11.872979 \tF1_train: 0.654762 \tF1_test: 0.441860\n",
            "Epoch: 59 \tTraining Loss: 0.303103 \tValidation Loss: 14.125806 \tF1_train: 0.726190 \tF1_test: 0.511628\n",
            "Epoch: 60 \tTraining Loss: 0.272626 \tValidation Loss: 13.163128 \tF1_train: 0.755952 \tF1_test: 0.534884\n",
            "Epoch: 61 \tTraining Loss: 0.300917 \tValidation Loss: 12.170563 \tF1_train: 0.738095 \tF1_test: 0.604651\n",
            "Epoch: 62 \tTraining Loss: 0.309709 \tValidation Loss: 12.344094 \tF1_train: 0.726190 \tF1_test: 0.627907\n",
            "Epoch: 63 \tTraining Loss: 0.249169 \tValidation Loss: 12.084244 \tF1_train: 0.750000 \tF1_test: 0.534884\n",
            "Epoch: 64 \tTraining Loss: 0.408321 \tValidation Loss: 33.002732 \tF1_train: 0.583333 \tF1_test: 0.232558\n",
            "Epoch: 65 \tTraining Loss: 0.421125 \tValidation Loss: 16.259205 \tF1_train: 0.589286 \tF1_test: 0.418605\n",
            "Epoch: 66 \tTraining Loss: 0.475541 \tValidation Loss: 23.577951 \tF1_train: 0.601190 \tF1_test: 0.232558\n",
            "Epoch: 67 \tTraining Loss: 0.466992 \tValidation Loss: 25.780513 \tF1_train: 0.470238 \tF1_test: 0.372093\n",
            "Epoch: 68 \tTraining Loss: 0.436276 \tValidation Loss: 14.011732 \tF1_train: 0.619048 \tF1_test: 0.418605\n",
            "Epoch: 69 \tTraining Loss: 0.419132 \tValidation Loss: 11.982424 \tF1_train: 0.577381 \tF1_test: 0.511628\n",
            "Epoch: 70 \tTraining Loss: 0.442312 \tValidation Loss: 19.297778 \tF1_train: 0.565476 \tF1_test: 0.418605\n",
            "Epoch: 71 \tTraining Loss: 0.402523 \tValidation Loss: 29.167007 \tF1_train: 0.571429 \tF1_test: 0.162791\n",
            "Epoch: 72 \tTraining Loss: 0.452766 \tValidation Loss: 11.640230 \tF1_train: 0.565476 \tF1_test: 0.581395\n",
            "Epoch: 73 \tTraining Loss: 0.387568 \tValidation Loss: 14.719244 \tF1_train: 0.565476 \tF1_test: 0.465116\n",
            "Epoch: 74 \tTraining Loss: 0.416752 \tValidation Loss: 11.672656 \tF1_train: 0.553571 \tF1_test: 0.651163\n",
            "Epoch: 75 \tTraining Loss: 0.425485 \tValidation Loss: 12.952870 \tF1_train: 0.565476 \tF1_test: 0.558140\n",
            "Epoch: 76 \tTraining Loss: 0.370670 \tValidation Loss: 18.120674 \tF1_train: 0.648810 \tF1_test: 0.395349\n",
            "Epoch: 77 \tTraining Loss: 0.397265 \tValidation Loss: 11.989500 \tF1_train: 0.625000 \tF1_test: 0.534884\n",
            "Epoch: 78 \tTraining Loss: 0.405351 \tValidation Loss: 13.925434 \tF1_train: 0.595238 \tF1_test: 0.534884\n",
            "Epoch: 79 \tTraining Loss: 0.372709 \tValidation Loss: 17.093280 \tF1_train: 0.630952 \tF1_test: 0.348837\n",
            "Epoch: 80 \tTraining Loss: 0.385274 \tValidation Loss: 14.677579 \tF1_train: 0.654762 \tF1_test: 0.348837\n",
            "Epoch: 81 \tTraining Loss: 0.362400 \tValidation Loss: 13.250984 \tF1_train: 0.630952 \tF1_test: 0.581395\n",
            "Epoch: 82 \tTraining Loss: 0.326825 \tValidation Loss: 11.957348 \tF1_train: 0.684524 \tF1_test: 0.558140\n",
            "Epoch: 83 \tTraining Loss: 0.391504 \tValidation Loss: 15.217598 \tF1_train: 0.613095 \tF1_test: 0.372093\n",
            "Epoch: 84 \tTraining Loss: 0.332843 \tValidation Loss: 13.532197 \tF1_train: 0.660714 \tF1_test: 0.511628\n",
            "Epoch: 85 \tTraining Loss: 0.337868 \tValidation Loss: 12.033702 \tF1_train: 0.732143 \tF1_test: 0.604651\n",
            "Epoch: 86 \tTraining Loss: 0.316863 \tValidation Loss: 18.563713 \tF1_train: 0.708333 \tF1_test: 0.558140\n",
            "Epoch: 87 \tTraining Loss: 0.309347 \tValidation Loss: 12.941652 \tF1_train: 0.690476 \tF1_test: 0.418605\n",
            "Epoch: 88 \tTraining Loss: 0.336127 \tValidation Loss: 16.772681 \tF1_train: 0.696429 \tF1_test: 0.348837\n",
            "Epoch: 89 \tTraining Loss: 0.318349 \tValidation Loss: 12.424384 \tF1_train: 0.672619 \tF1_test: 0.465116\n",
            "Epoch: 90 \tTraining Loss: 0.373764 \tValidation Loss: 20.532599 \tF1_train: 0.672619 \tF1_test: 0.465116\n",
            "Epoch: 91 \tTraining Loss: 0.357819 \tValidation Loss: 16.993001 \tF1_train: 0.642857 \tF1_test: 0.418605\n",
            "Epoch: 92 \tTraining Loss: 0.318110 \tValidation Loss: 14.473687 \tF1_train: 0.678571 \tF1_test: 0.418605\n",
            "Epoch: 93 \tTraining Loss: 0.365036 \tValidation Loss: 22.874763 \tF1_train: 0.636905 \tF1_test: 0.186047\n",
            "Epoch: 94 \tTraining Loss: 0.336992 \tValidation Loss: 11.618476 \tF1_train: 0.660714 \tF1_test: 0.674419\n",
            "Epoch: 95 \tTraining Loss: 0.279390 \tValidation Loss: 14.516505 \tF1_train: 0.714286 \tF1_test: 0.581395\n",
            "Epoch: 96 \tTraining Loss: 0.294922 \tValidation Loss: 13.792675 \tF1_train: 0.744048 \tF1_test: 0.604651\n",
            "Epoch: 97 \tTraining Loss: 0.303029 \tValidation Loss: 12.092125 \tF1_train: 0.672619 \tF1_test: 0.674419\n",
            "Epoch: 98 \tTraining Loss: 0.317221 \tValidation Loss: 14.055435 \tF1_train: 0.678571 \tF1_test: 0.534884\n",
            "Epoch: 99 \tTraining Loss: 0.281432 \tValidation Loss: 11.126036 \tF1_train: 0.714286 \tF1_test: 0.581395\n",
            "Epoch: 100 \tTraining Loss: 0.277110 \tValidation Loss: 11.816179 \tF1_train: 0.714286 \tF1_test: 0.581395\n",
            "Epoch: 101 \tTraining Loss: 0.312800 \tValidation Loss: 11.070472 \tF1_train: 0.732143 \tF1_test: 0.558140\n",
            "Epoch: 102 \tTraining Loss: 0.281435 \tValidation Loss: 13.738447 \tF1_train: 0.726190 \tF1_test: 0.604651\n",
            "Epoch: 103 \tTraining Loss: 0.230538 \tValidation Loss: 13.045511 \tF1_train: 0.738095 \tF1_test: 0.558140\n",
            "Epoch: 104 \tTraining Loss: 0.286862 \tValidation Loss: 11.979671 \tF1_train: 0.738095 \tF1_test: 0.534884\n",
            "Epoch: 105 \tTraining Loss: 0.279390 \tValidation Loss: 12.052352 \tF1_train: 0.750000 \tF1_test: 0.627907\n",
            "Epoch: 106 \tTraining Loss: 0.252943 \tValidation Loss: 13.817010 \tF1_train: 0.761905 \tF1_test: 0.651163\n",
            "Epoch: 107 \tTraining Loss: 0.234138 \tValidation Loss: 12.591260 \tF1_train: 0.785714 \tF1_test: 0.511628\n",
            "Epoch: 108 \tTraining Loss: 0.244589 \tValidation Loss: 12.208296 \tF1_train: 0.750000 \tF1_test: 0.604651\n",
            "Epoch: 109 \tTraining Loss: 0.309063 \tValidation Loss: 11.949565 \tF1_train: 0.702381 \tF1_test: 0.534884\n",
            "Epoch: 110 \tTraining Loss: 0.223376 \tValidation Loss: 11.059226 \tF1_train: 0.803571 \tF1_test: 0.581395\n",
            "Epoch: 111 \tTraining Loss: 0.258396 \tValidation Loss: 12.190199 \tF1_train: 0.744048 \tF1_test: 0.674419\n",
            "Epoch: 112 \tTraining Loss: 0.251412 \tValidation Loss: 13.710185 \tF1_train: 0.755952 \tF1_test: 0.581395\n",
            "Epoch: 113 \tTraining Loss: 0.232561 \tValidation Loss: 14.217326 \tF1_train: 0.803571 \tF1_test: 0.534884\n",
            "Epoch: 114 \tTraining Loss: 0.229131 \tValidation Loss: 17.075590 \tF1_train: 0.761905 \tF1_test: 0.488372\n",
            "Epoch: 115 \tTraining Loss: 0.200975 \tValidation Loss: 13.868477 \tF1_train: 0.827381 \tF1_test: 0.604651\n",
            "Epoch: 116 \tTraining Loss: 0.211908 \tValidation Loss: 13.359237 \tF1_train: 0.791667 \tF1_test: 0.674419\n",
            "Epoch: 117 \tTraining Loss: 0.212081 \tValidation Loss: 12.127965 \tF1_train: 0.767857 \tF1_test: 0.697674\n",
            "Epoch: 118 \tTraining Loss: 0.208087 \tValidation Loss: 13.109750 \tF1_train: 0.791667 \tF1_test: 0.697674\n",
            "Epoch: 119 \tTraining Loss: 0.194861 \tValidation Loss: 12.934953 \tF1_train: 0.815476 \tF1_test: 0.604651\n",
            "Epoch: 120 \tTraining Loss: 0.167639 \tValidation Loss: 11.988916 \tF1_train: 0.845238 \tF1_test: 0.627907\n",
            "Epoch: 121 \tTraining Loss: 0.215445 \tValidation Loss: 11.996937 \tF1_train: 0.779762 \tF1_test: 0.627907\n",
            "Epoch: 122 \tTraining Loss: 0.203145 \tValidation Loss: 11.742636 \tF1_train: 0.785714 \tF1_test: 0.674419\n",
            "Epoch: 123 \tTraining Loss: 0.232927 \tValidation Loss: 11.519421 \tF1_train: 0.755952 \tF1_test: 0.651163\n",
            "Epoch: 124 \tTraining Loss: 0.197669 \tValidation Loss: 12.349730 \tF1_train: 0.791667 \tF1_test: 0.581395\n",
            "Epoch: 125 \tTraining Loss: 0.177754 \tValidation Loss: 12.061571 \tF1_train: 0.845238 \tF1_test: 0.581395\n",
            "Epoch: 126 \tTraining Loss: 0.207961 \tValidation Loss: 11.796670 \tF1_train: 0.803571 \tF1_test: 0.651163\n",
            "Epoch: 127 \tTraining Loss: 0.254700 \tValidation Loss: 14.037457 \tF1_train: 0.726190 \tF1_test: 0.581395\n",
            "Epoch: 128 \tTraining Loss: 0.287868 \tValidation Loss: 30.710421 \tF1_train: 0.767857 \tF1_test: 0.232558\n",
            "Epoch: 129 \tTraining Loss: 0.480224 \tValidation Loss: 38.524014 \tF1_train: 0.523810 \tF1_test: 0.302326\n",
            "Epoch: 130 \tTraining Loss: 0.686202 \tValidation Loss: 40.847873 \tF1_train: 0.392857 \tF1_test: 0.162791\n",
            "Epoch: 131 \tTraining Loss: 0.443960 \tValidation Loss: 29.608379 \tF1_train: 0.523810 \tF1_test: 0.139535\n",
            "Epoch: 132 \tTraining Loss: 0.439671 \tValidation Loss: 14.627522 \tF1_train: 0.529762 \tF1_test: 0.348837\n",
            "Epoch: 133 \tTraining Loss: 0.413253 \tValidation Loss: 12.615826 \tF1_train: 0.577381 \tF1_test: 0.511628\n",
            "Epoch: 134 \tTraining Loss: 0.406798 \tValidation Loss: 14.615912 \tF1_train: 0.577381 \tF1_test: 0.488372\n",
            "Epoch: 135 \tTraining Loss: 0.419052 \tValidation Loss: 15.318988 \tF1_train: 0.571429 \tF1_test: 0.511628\n",
            "Epoch: 136 \tTraining Loss: 0.373184 \tValidation Loss: 15.839838 \tF1_train: 0.619048 \tF1_test: 0.441860\n",
            "Epoch: 137 \tTraining Loss: 0.396548 \tValidation Loss: 12.075417 \tF1_train: 0.589286 \tF1_test: 0.488372\n",
            "Epoch: 138 \tTraining Loss: 0.292384 \tValidation Loss: 13.713074 \tF1_train: 0.708333 \tF1_test: 0.558140\n",
            "Epoch: 139 \tTraining Loss: 0.317388 \tValidation Loss: 15.943537 \tF1_train: 0.714286 \tF1_test: 0.488372\n",
            "Epoch: 140 \tTraining Loss: 0.294983 \tValidation Loss: 15.151303 \tF1_train: 0.684524 \tF1_test: 0.465116\n",
            "Epoch: 141 \tTraining Loss: 0.293080 \tValidation Loss: 14.900355 \tF1_train: 0.708333 \tF1_test: 0.372093\n",
            "Epoch: 142 \tTraining Loss: 0.317949 \tValidation Loss: 15.937079 \tF1_train: 0.714286 \tF1_test: 0.325581\n",
            "Epoch: 143 \tTraining Loss: 0.369324 \tValidation Loss: 20.165073 \tF1_train: 0.636905 \tF1_test: 0.441860\n",
            "Epoch: 144 \tTraining Loss: 0.368265 \tValidation Loss: 12.772657 \tF1_train: 0.684524 \tF1_test: 0.465116\n",
            "Epoch: 145 \tTraining Loss: 0.331999 \tValidation Loss: 22.285263 \tF1_train: 0.690476 \tF1_test: 0.325581\n",
            "Epoch: 146 \tTraining Loss: 0.315989 \tValidation Loss: 15.969652 \tF1_train: 0.684524 \tF1_test: 0.325581\n",
            "Epoch: 147 \tTraining Loss: 0.285065 \tValidation Loss: 14.309006 \tF1_train: 0.708333 \tF1_test: 0.534884\n",
            "Epoch: 148 \tTraining Loss: 0.314937 \tValidation Loss: 16.001035 \tF1_train: 0.678571 \tF1_test: 0.348837\n",
            "Epoch: 149 \tTraining Loss: 0.366229 \tValidation Loss: 17.905559 \tF1_train: 0.660714 \tF1_test: 0.348837\n",
            "Epoch: 150 \tTraining Loss: 0.341739 \tValidation Loss: 18.495540 \tF1_train: 0.702381 \tF1_test: 0.558140\n",
            "Epoch: 151 \tTraining Loss: 0.283919 \tValidation Loss: 17.962237 \tF1_train: 0.732143 \tF1_test: 0.534884\n",
            "Epoch: 152 \tTraining Loss: 0.299769 \tValidation Loss: 12.811842 \tF1_train: 0.702381 \tF1_test: 0.511628\n",
            "Epoch: 153 \tTraining Loss: 0.260845 \tValidation Loss: 16.579442 \tF1_train: 0.750000 \tF1_test: 0.534884\n",
            "Epoch: 154 \tTraining Loss: 0.252109 \tValidation Loss: 16.607397 \tF1_train: 0.738095 \tF1_test: 0.279070\n",
            "Epoch: 155 \tTraining Loss: 0.380636 \tValidation Loss: 13.812890 \tF1_train: 0.636905 \tF1_test: 0.488372\n",
            "Epoch: 156 \tTraining Loss: 0.303931 \tValidation Loss: 13.447814 \tF1_train: 0.726190 \tF1_test: 0.558140\n",
            "Epoch: 157 \tTraining Loss: 0.288499 \tValidation Loss: 14.486969 \tF1_train: 0.702381 \tF1_test: 0.441860\n",
            "Epoch: 158 \tTraining Loss: 0.292310 \tValidation Loss: 15.995965 \tF1_train: 0.732143 \tF1_test: 0.511628\n",
            "Epoch: 159 \tTraining Loss: 0.297900 \tValidation Loss: 14.371423 \tF1_train: 0.732143 \tF1_test: 0.488372\n",
            "Epoch: 160 \tTraining Loss: 0.256714 \tValidation Loss: 14.031788 \tF1_train: 0.750000 \tF1_test: 0.627907\n",
            "Epoch: 161 \tTraining Loss: 0.279815 \tValidation Loss: 14.049964 \tF1_train: 0.708333 \tF1_test: 0.674419\n",
            "Epoch: 162 \tTraining Loss: 0.295113 \tValidation Loss: 19.650789 \tF1_train: 0.714286 \tF1_test: 0.418605\n",
            "Epoch: 163 \tTraining Loss: 0.272129 \tValidation Loss: 12.658517 \tF1_train: 0.732143 \tF1_test: 0.511628\n",
            "Epoch: 164 \tTraining Loss: 0.272813 \tValidation Loss: 13.578619 \tF1_train: 0.744048 \tF1_test: 0.581395\n",
            "Epoch: 165 \tTraining Loss: 0.270752 \tValidation Loss: 16.508976 \tF1_train: 0.738095 \tF1_test: 0.465116\n",
            "Epoch: 166 \tTraining Loss: 0.280370 \tValidation Loss: 15.790360 \tF1_train: 0.702381 \tF1_test: 0.558140\n",
            "Epoch: 167 \tTraining Loss: 0.242192 \tValidation Loss: 14.470311 \tF1_train: 0.779762 \tF1_test: 0.581395\n",
            "Epoch: 168 \tTraining Loss: 0.213111 \tValidation Loss: 14.683565 \tF1_train: 0.779762 \tF1_test: 0.558140\n",
            "Epoch: 169 \tTraining Loss: 0.225818 \tValidation Loss: 20.088465 \tF1_train: 0.803571 \tF1_test: 0.604651\n",
            "Epoch: 170 \tTraining Loss: 0.276790 \tValidation Loss: 17.738123 \tF1_train: 0.732143 \tF1_test: 0.511628\n",
            "Epoch: 171 \tTraining Loss: 0.279526 \tValidation Loss: 14.164288 \tF1_train: 0.714286 \tF1_test: 0.418605\n",
            "Epoch: 172 \tTraining Loss: 0.230294 \tValidation Loss: 17.901117 \tF1_train: 0.773810 \tF1_test: 0.488372\n",
            "Epoch: 173 \tTraining Loss: 0.336149 \tValidation Loss: 23.000818 \tF1_train: 0.755952 \tF1_test: 0.302326\n",
            "Epoch: 174 \tTraining Loss: 0.270614 \tValidation Loss: 18.979000 \tF1_train: 0.744048 \tF1_test: 0.441860\n",
            "Epoch: 175 \tTraining Loss: 0.297795 \tValidation Loss: 17.236059 \tF1_train: 0.696429 \tF1_test: 0.348837\n",
            "Epoch: 176 \tTraining Loss: 0.272993 \tValidation Loss: 14.737477 \tF1_train: 0.732143 \tF1_test: 0.534884\n",
            "Epoch: 177 \tTraining Loss: 0.296257 \tValidation Loss: 22.653153 \tF1_train: 0.702381 \tF1_test: 0.372093\n",
            "Epoch: 178 \tTraining Loss: 0.244347 \tValidation Loss: 20.324745 \tF1_train: 0.803571 \tF1_test: 0.441860\n",
            "Epoch: 179 \tTraining Loss: 0.238218 \tValidation Loss: 13.742426 \tF1_train: 0.773810 \tF1_test: 0.534884\n",
            "Epoch: 180 \tTraining Loss: 0.239202 \tValidation Loss: 14.389947 \tF1_train: 0.755952 \tF1_test: 0.581395\n",
            "Epoch: 181 \tTraining Loss: 0.223894 \tValidation Loss: 14.647069 \tF1_train: 0.791667 \tF1_test: 0.581395\n",
            "Epoch: 182 \tTraining Loss: 0.206757 \tValidation Loss: 16.076884 \tF1_train: 0.779762 \tF1_test: 0.511628\n",
            "Epoch: 183 \tTraining Loss: 0.186209 \tValidation Loss: 13.817807 \tF1_train: 0.785714 \tF1_test: 0.674419\n",
            "Epoch: 184 \tTraining Loss: 0.234834 \tValidation Loss: 14.497569 \tF1_train: 0.803571 \tF1_test: 0.627907\n",
            "Epoch: 185 \tTraining Loss: 0.188217 \tValidation Loss: 14.439468 \tF1_train: 0.779762 \tF1_test: 0.511628\n",
            "Epoch: 186 \tTraining Loss: 0.201116 \tValidation Loss: 13.115276 \tF1_train: 0.809524 \tF1_test: 0.581395\n",
            "Epoch: 187 \tTraining Loss: 0.239258 \tValidation Loss: 17.757745 \tF1_train: 0.720238 \tF1_test: 0.534884\n",
            "Epoch: 188 \tTraining Loss: 0.222616 \tValidation Loss: 17.971934 \tF1_train: 0.791667 \tF1_test: 0.534884\n",
            "Epoch: 189 \tTraining Loss: 0.336393 \tValidation Loss: 22.803641 \tF1_train: 0.654762 \tF1_test: 0.348837\n",
            "Epoch: 190 \tTraining Loss: 0.293350 \tValidation Loss: 16.031480 \tF1_train: 0.714286 \tF1_test: 0.558140\n",
            "Epoch: 191 \tTraining Loss: 0.239366 \tValidation Loss: 21.432452 \tF1_train: 0.744048 \tF1_test: 0.465116\n",
            "Epoch: 192 \tTraining Loss: 0.281680 \tValidation Loss: 13.156285 \tF1_train: 0.732143 \tF1_test: 0.581395\n",
            "Epoch: 193 \tTraining Loss: 0.236459 \tValidation Loss: 12.977044 \tF1_train: 0.785714 \tF1_test: 0.604651\n",
            "Epoch: 194 \tTraining Loss: 0.206979 \tValidation Loss: 14.877908 \tF1_train: 0.773810 \tF1_test: 0.441860\n",
            "Epoch: 195 \tTraining Loss: 0.232705 \tValidation Loss: 11.827808 \tF1_train: 0.767857 \tF1_test: 0.651163\n",
            "Epoch: 196 \tTraining Loss: 0.221887 \tValidation Loss: 10.368852 \tF1_train: 0.809524 \tF1_test: 0.651163\n",
            "Epoch: 197 \tTraining Loss: 0.273003 \tValidation Loss: 13.706623 \tF1_train: 0.750000 \tF1_test: 0.558140\n",
            "Epoch: 198 \tTraining Loss: 0.200504 \tValidation Loss: 14.411548 \tF1_train: 0.779762 \tF1_test: 0.558140\n",
            "Epoch: 199 \tTraining Loss: 0.243373 \tValidation Loss: 16.644371 \tF1_train: 0.761905 \tF1_test: 0.441860\n",
            "Epoch: 200 \tTraining Loss: 0.192522 \tValidation Loss: 13.301334 \tF1_train: 0.803571 \tF1_test: 0.558140\n",
            "Epoch: 201 \tTraining Loss: 0.177018 \tValidation Loss: 13.249820 \tF1_train: 0.827381 \tF1_test: 0.604651\n",
            "Epoch: 202 \tTraining Loss: 0.159187 \tValidation Loss: 12.533803 \tF1_train: 0.821429 \tF1_test: 0.581395\n",
            "Epoch: 203 \tTraining Loss: 0.145172 \tValidation Loss: 14.996184 \tF1_train: 0.869048 \tF1_test: 0.465116\n",
            "Epoch: 204 \tTraining Loss: 0.190399 \tValidation Loss: 15.465308 \tF1_train: 0.803571 \tF1_test: 0.651163\n",
            "Epoch: 205 \tTraining Loss: 0.189648 \tValidation Loss: 15.579797 \tF1_train: 0.821429 \tF1_test: 0.604651\n",
            "Epoch: 206 \tTraining Loss: 0.183379 \tValidation Loss: 15.947023 \tF1_train: 0.791667 \tF1_test: 0.534884\n",
            "Epoch: 207 \tTraining Loss: 0.155004 \tValidation Loss: 15.851794 \tF1_train: 0.851190 \tF1_test: 0.651163\n",
            "Epoch: 208 \tTraining Loss: 0.160921 \tValidation Loss: 14.659035 \tF1_train: 0.845238 \tF1_test: 0.627907\n",
            "Epoch: 209 \tTraining Loss: 0.148103 \tValidation Loss: 12.848339 \tF1_train: 0.821429 \tF1_test: 0.651163\n",
            "Epoch: 210 \tTraining Loss: 0.159771 \tValidation Loss: 12.877757 \tF1_train: 0.857143 \tF1_test: 0.627907\n",
            "Epoch: 211 \tTraining Loss: 0.191803 \tValidation Loss: 14.757526 \tF1_train: 0.797619 \tF1_test: 0.651163\n",
            "Epoch: 212 \tTraining Loss: 0.180864 \tValidation Loss: 11.963139 \tF1_train: 0.797619 \tF1_test: 0.697674\n",
            "Epoch: 213 \tTraining Loss: 0.199990 \tValidation Loss: 14.816964 \tF1_train: 0.791667 \tF1_test: 0.627907\n",
            "Epoch: 214 \tTraining Loss: 0.153536 \tValidation Loss: 12.441561 \tF1_train: 0.863095 \tF1_test: 0.604651\n",
            "Epoch: 215 \tTraining Loss: 0.189625 \tValidation Loss: 12.514712 \tF1_train: 0.821429 \tF1_test: 0.581395\n",
            "Epoch: 216 \tTraining Loss: 0.166394 \tValidation Loss: 13.219114 \tF1_train: 0.845238 \tF1_test: 0.651163\n",
            "Epoch: 217 \tTraining Loss: 0.166105 \tValidation Loss: 15.119047 \tF1_train: 0.797619 \tF1_test: 0.651163\n",
            "Epoch: 218 \tTraining Loss: 0.138680 \tValidation Loss: 16.549131 \tF1_train: 0.857143 \tF1_test: 0.604651\n",
            "Epoch: 219 \tTraining Loss: 0.141103 \tValidation Loss: 16.580773 \tF1_train: 0.880952 \tF1_test: 0.604651\n",
            "Epoch: 220 \tTraining Loss: 0.173832 \tValidation Loss: 15.689419 \tF1_train: 0.809524 \tF1_test: 0.581395\n",
            "Epoch: 221 \tTraining Loss: 0.141046 \tValidation Loss: 12.980162 \tF1_train: 0.845238 \tF1_test: 0.604651\n",
            "Epoch: 222 \tTraining Loss: 0.145668 \tValidation Loss: 14.439382 \tF1_train: 0.821429 \tF1_test: 0.651163\n",
            "Epoch: 223 \tTraining Loss: 0.150365 \tValidation Loss: 13.745766 \tF1_train: 0.863095 \tF1_test: 0.651163\n",
            "Epoch: 224 \tTraining Loss: 0.148991 \tValidation Loss: 13.012603 \tF1_train: 0.851190 \tF1_test: 0.697674\n",
            "Epoch: 225 \tTraining Loss: 0.168046 \tValidation Loss: 16.368452 \tF1_train: 0.845238 \tF1_test: 0.651163\n",
            "Epoch: 226 \tTraining Loss: 0.159984 \tValidation Loss: 16.664154 \tF1_train: 0.809524 \tF1_test: 0.558140\n",
            "Epoch: 227 \tTraining Loss: 0.151547 \tValidation Loss: 13.896669 \tF1_train: 0.869048 \tF1_test: 0.558140\n",
            "Epoch: 228 \tTraining Loss: 0.144882 \tValidation Loss: 13.215997 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 229 \tTraining Loss: 0.133596 \tValidation Loss: 12.948999 \tF1_train: 0.833333 \tF1_test: 0.674419\n",
            "Epoch: 230 \tTraining Loss: 0.162764 \tValidation Loss: 14.946211 \tF1_train: 0.833333 \tF1_test: 0.604651\n",
            "Epoch: 231 \tTraining Loss: 0.122248 \tValidation Loss: 16.317274 \tF1_train: 0.863095 \tF1_test: 0.581395\n",
            "Epoch: 232 \tTraining Loss: 0.086294 \tValidation Loss: 15.344919 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 233 \tTraining Loss: 0.144608 \tValidation Loss: 14.288980 \tF1_train: 0.833333 \tF1_test: 0.627907\n",
            "Epoch: 234 \tTraining Loss: 0.104535 \tValidation Loss: 13.662596 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 235 \tTraining Loss: 0.099999 \tValidation Loss: 14.215306 \tF1_train: 0.892857 \tF1_test: 0.651163\n",
            "Epoch: 236 \tTraining Loss: 0.131479 \tValidation Loss: 13.427781 \tF1_train: 0.857143 \tF1_test: 0.604651\n",
            "Epoch: 237 \tTraining Loss: 0.141776 \tValidation Loss: 13.914033 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 238 \tTraining Loss: 0.124192 \tValidation Loss: 13.145333 \tF1_train: 0.851190 \tF1_test: 0.627907\n",
            "Epoch: 239 \tTraining Loss: 0.184939 \tValidation Loss: 12.145772 \tF1_train: 0.797619 \tF1_test: 0.697674\n",
            "Epoch: 240 \tTraining Loss: 0.131453 \tValidation Loss: 11.975926 \tF1_train: 0.869048 \tF1_test: 0.697674\n",
            "Epoch: 241 \tTraining Loss: 0.113830 \tValidation Loss: 13.141927 \tF1_train: 0.869048 \tF1_test: 0.697674\n",
            "Epoch: 242 \tTraining Loss: 0.196396 \tValidation Loss: 14.928060 \tF1_train: 0.827381 \tF1_test: 0.651163\n",
            "Epoch: 243 \tTraining Loss: 0.158880 \tValidation Loss: 17.228812 \tF1_train: 0.839286 \tF1_test: 0.581395\n",
            "Epoch: 244 \tTraining Loss: 0.112937 \tValidation Loss: 17.024473 \tF1_train: 0.863095 \tF1_test: 0.558140\n",
            "Epoch: 245 \tTraining Loss: 0.133319 \tValidation Loss: 15.821685 \tF1_train: 0.869048 \tF1_test: 0.604651\n",
            "Epoch: 246 \tTraining Loss: 0.117660 \tValidation Loss: 15.186771 \tF1_train: 0.863095 \tF1_test: 0.627907\n",
            "Epoch: 247 \tTraining Loss: 0.122610 \tValidation Loss: 14.542172 \tF1_train: 0.863095 \tF1_test: 0.581395\n",
            "Epoch: 248 \tTraining Loss: 0.120870 \tValidation Loss: 14.981950 \tF1_train: 0.880952 \tF1_test: 0.604651\n",
            "Epoch: 249 \tTraining Loss: 0.121034 \tValidation Loss: 15.070798 \tF1_train: 0.863095 \tF1_test: 0.581395\n",
            "Epoch: 250 \tTraining Loss: 0.110246 \tValidation Loss: 15.296056 \tF1_train: 0.869048 \tF1_test: 0.581395\n",
            "Epoch: 251 \tTraining Loss: 0.097812 \tValidation Loss: 15.082892 \tF1_train: 0.880952 \tF1_test: 0.581395\n",
            "Epoch: 252 \tTraining Loss: 0.128185 \tValidation Loss: 15.160999 \tF1_train: 0.869048 \tF1_test: 0.627907\n",
            "Epoch: 253 \tTraining Loss: 0.109959 \tValidation Loss: 14.475327 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 254 \tTraining Loss: 0.118630 \tValidation Loss: 14.625165 \tF1_train: 0.880952 \tF1_test: 0.674419\n",
            "Epoch: 255 \tTraining Loss: 0.116915 \tValidation Loss: 15.746103 \tF1_train: 0.880952 \tF1_test: 0.697674\n",
            "Epoch: 256 \tTraining Loss: 0.233179 \tValidation Loss: 33.178423 \tF1_train: 0.767857 \tF1_test: 0.395349\n",
            "Epoch: 257 \tTraining Loss: 0.427565 \tValidation Loss: 35.152015 \tF1_train: 0.678571 \tF1_test: 0.232558\n",
            "Epoch: 258 \tTraining Loss: 0.351381 \tValidation Loss: 17.705652 \tF1_train: 0.636905 \tF1_test: 0.465116\n",
            "Epoch: 259 \tTraining Loss: 0.344307 \tValidation Loss: 17.955441 \tF1_train: 0.648810 \tF1_test: 0.465116\n",
            "Epoch: 260 \tTraining Loss: 0.311654 \tValidation Loss: 14.803158 \tF1_train: 0.696429 \tF1_test: 0.697674\n",
            "Epoch: 261 \tTraining Loss: 0.272835 \tValidation Loss: 16.717209 \tF1_train: 0.708333 \tF1_test: 0.395349\n",
            "Epoch: 262 \tTraining Loss: 0.267383 \tValidation Loss: 17.271422 \tF1_train: 0.761905 \tF1_test: 0.534884\n",
            "Epoch: 263 \tTraining Loss: 0.290882 \tValidation Loss: 21.146993 \tF1_train: 0.708333 \tF1_test: 0.465116\n",
            "Epoch: 264 \tTraining Loss: 0.314898 \tValidation Loss: 29.516554 \tF1_train: 0.720238 \tF1_test: 0.325581\n",
            "Epoch: 265 \tTraining Loss: 0.336784 \tValidation Loss: 29.864208 \tF1_train: 0.696429 \tF1_test: 0.279070\n",
            "Epoch: 266 \tTraining Loss: 0.287684 \tValidation Loss: 18.014305 \tF1_train: 0.738095 \tF1_test: 0.418605\n",
            "Epoch: 267 \tTraining Loss: 0.313401 \tValidation Loss: 23.398896 \tF1_train: 0.654762 \tF1_test: 0.302326\n",
            "Epoch: 268 \tTraining Loss: 0.270984 \tValidation Loss: 20.463679 \tF1_train: 0.738095 \tF1_test: 0.395349\n",
            "Epoch: 269 \tTraining Loss: 0.242363 \tValidation Loss: 13.918468 \tF1_train: 0.761905 \tF1_test: 0.465116\n",
            "Epoch: 270 \tTraining Loss: 0.231503 \tValidation Loss: 27.003772 \tF1_train: 0.791667 \tF1_test: 0.348837\n",
            "Epoch: 271 \tTraining Loss: 0.246186 \tValidation Loss: 11.725163 \tF1_train: 0.755952 \tF1_test: 0.581395\n",
            "Epoch: 272 \tTraining Loss: 0.259954 \tValidation Loss: 21.378359 \tF1_train: 0.773810 \tF1_test: 0.325581\n",
            "Epoch: 273 \tTraining Loss: 0.265406 \tValidation Loss: 13.499871 \tF1_train: 0.767857 \tF1_test: 0.488372\n",
            "Epoch: 274 \tTraining Loss: 0.217582 \tValidation Loss: 14.550099 \tF1_train: 0.803571 \tF1_test: 0.511628\n",
            "Epoch: 275 \tTraining Loss: 0.199989 \tValidation Loss: 13.105507 \tF1_train: 0.815476 \tF1_test: 0.511628\n",
            "Epoch: 276 \tTraining Loss: 0.239039 \tValidation Loss: 24.244369 \tF1_train: 0.755952 \tF1_test: 0.279070\n",
            "Epoch: 277 \tTraining Loss: 0.206030 \tValidation Loss: 16.354343 \tF1_train: 0.803571 \tF1_test: 0.534884\n",
            "Epoch: 278 \tTraining Loss: 0.188543 \tValidation Loss: 18.777732 \tF1_train: 0.797619 \tF1_test: 0.604651\n",
            "Epoch: 279 \tTraining Loss: 0.202741 \tValidation Loss: 20.720447 \tF1_train: 0.791667 \tF1_test: 0.465116\n",
            "Epoch: 280 \tTraining Loss: 0.326010 \tValidation Loss: 45.408369 \tF1_train: 0.761905 \tF1_test: 0.348837\n",
            "Epoch: 281 \tTraining Loss: 0.334857 \tValidation Loss: 17.627761 \tF1_train: 0.690476 \tF1_test: 0.511628\n",
            "Epoch: 282 \tTraining Loss: 0.277048 \tValidation Loss: 16.159097 \tF1_train: 0.702381 \tF1_test: 0.418605\n",
            "Epoch: 283 \tTraining Loss: 0.317259 \tValidation Loss: 13.951103 \tF1_train: 0.744048 \tF1_test: 0.325581\n",
            "Epoch: 284 \tTraining Loss: 0.261105 \tValidation Loss: 11.985784 \tF1_train: 0.744048 \tF1_test: 0.465116\n",
            "Epoch: 285 \tTraining Loss: 0.247251 \tValidation Loss: 17.681708 \tF1_train: 0.785714 \tF1_test: 0.441860\n",
            "Epoch: 286 \tTraining Loss: 0.285206 \tValidation Loss: 15.767422 \tF1_train: 0.720238 \tF1_test: 0.627907\n",
            "Epoch: 287 \tTraining Loss: 0.209065 \tValidation Loss: 14.253965 \tF1_train: 0.761905 \tF1_test: 0.558140\n",
            "Epoch: 288 \tTraining Loss: 0.214730 \tValidation Loss: 16.231726 \tF1_train: 0.767857 \tF1_test: 0.511628\n",
            "Epoch: 289 \tTraining Loss: 0.196175 \tValidation Loss: 13.624623 \tF1_train: 0.791667 \tF1_test: 0.627907\n",
            "Epoch: 290 \tTraining Loss: 0.232976 \tValidation Loss: 16.885488 \tF1_train: 0.761905 \tF1_test: 0.511628\n",
            "Epoch: 291 \tTraining Loss: 0.261050 \tValidation Loss: 15.984306 \tF1_train: 0.726190 \tF1_test: 0.534884\n",
            "Epoch: 292 \tTraining Loss: 0.263773 \tValidation Loss: 21.594029 \tF1_train: 0.785714 \tF1_test: 0.302326\n",
            "Epoch: 293 \tTraining Loss: 0.223739 \tValidation Loss: 14.965959 \tF1_train: 0.779762 \tF1_test: 0.511628\n",
            "Epoch: 294 \tTraining Loss: 0.216140 \tValidation Loss: 24.832434 \tF1_train: 0.773810 \tF1_test: 0.465116\n",
            "Epoch: 295 \tTraining Loss: 0.239812 \tValidation Loss: 14.062313 \tF1_train: 0.761905 \tF1_test: 0.465116\n",
            "Epoch: 296 \tTraining Loss: 0.224245 \tValidation Loss: 14.010555 \tF1_train: 0.797619 \tF1_test: 0.558140\n",
            "Epoch: 297 \tTraining Loss: 0.196535 \tValidation Loss: 28.226252 \tF1_train: 0.797619 \tF1_test: 0.325581\n",
            "Epoch: 298 \tTraining Loss: 0.293748 \tValidation Loss: 18.390132 \tF1_train: 0.744048 \tF1_test: 0.465116\n",
            "Epoch: 299 \tTraining Loss: 0.208368 \tValidation Loss: 18.563152 \tF1_train: 0.803571 \tF1_test: 0.558140\n",
            "Epoch: 300 \tTraining Loss: 0.238031 \tValidation Loss: 19.581143 \tF1_train: 0.761905 \tF1_test: 0.395349\n",
            "Epoch: 301 \tTraining Loss: 0.231985 \tValidation Loss: 15.285004 \tF1_train: 0.809524 \tF1_test: 0.581395\n",
            "Epoch: 302 \tTraining Loss: 0.192361 \tValidation Loss: 14.741927 \tF1_train: 0.803571 \tF1_test: 0.604651\n",
            "Epoch: 303 \tTraining Loss: 0.214295 \tValidation Loss: 16.841130 \tF1_train: 0.797619 \tF1_test: 0.511628\n",
            "Epoch: 304 \tTraining Loss: 0.236778 \tValidation Loss: 14.920041 \tF1_train: 0.779762 \tF1_test: 0.581395\n",
            "Epoch: 305 \tTraining Loss: 0.190443 \tValidation Loss: 18.206475 \tF1_train: 0.827381 \tF1_test: 0.488372\n",
            "Epoch: 306 \tTraining Loss: 0.193533 \tValidation Loss: 12.104975 \tF1_train: 0.785714 \tF1_test: 0.627907\n",
            "Epoch: 307 \tTraining Loss: 0.156493 \tValidation Loss: 12.366359 \tF1_train: 0.839286 \tF1_test: 0.604651\n",
            "Epoch: 308 \tTraining Loss: 0.168586 \tValidation Loss: 15.370993 \tF1_train: 0.797619 \tF1_test: 0.395349\n",
            "Epoch: 309 \tTraining Loss: 0.186553 \tValidation Loss: 17.400585 \tF1_train: 0.815476 \tF1_test: 0.511628\n",
            "Epoch: 310 \tTraining Loss: 0.170431 \tValidation Loss: 15.038472 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 311 \tTraining Loss: 0.159511 \tValidation Loss: 14.876665 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 312 \tTraining Loss: 0.224444 \tValidation Loss: 15.699747 \tF1_train: 0.755952 \tF1_test: 0.534884\n",
            "Epoch: 313 \tTraining Loss: 0.180078 \tValidation Loss: 16.276333 \tF1_train: 0.821429 \tF1_test: 0.534884\n",
            "Epoch: 314 \tTraining Loss: 0.244580 \tValidation Loss: 13.662575 \tF1_train: 0.744048 \tF1_test: 0.604651\n",
            "Epoch: 315 \tTraining Loss: 0.202059 \tValidation Loss: 18.628461 \tF1_train: 0.833333 \tF1_test: 0.581395\n",
            "Epoch: 316 \tTraining Loss: 0.173694 \tValidation Loss: 15.728232 \tF1_train: 0.797619 \tF1_test: 0.534884\n",
            "Epoch: 317 \tTraining Loss: 0.152062 \tValidation Loss: 18.692210 \tF1_train: 0.821429 \tF1_test: 0.511628\n",
            "Epoch: 318 \tTraining Loss: 0.248203 \tValidation Loss: 17.267671 \tF1_train: 0.744048 \tF1_test: 0.511628\n",
            "Epoch: 319 \tTraining Loss: 0.230518 \tValidation Loss: 26.433964 \tF1_train: 0.761905 \tF1_test: 0.395349\n",
            "Epoch: 320 \tTraining Loss: 0.188578 \tValidation Loss: 16.688279 \tF1_train: 0.803571 \tF1_test: 0.534884\n",
            "Epoch: 321 \tTraining Loss: 0.170952 \tValidation Loss: 18.691345 \tF1_train: 0.827381 \tF1_test: 0.604651\n",
            "Epoch: 322 \tTraining Loss: 0.165305 \tValidation Loss: 19.055856 \tF1_train: 0.821429 \tF1_test: 0.558140\n",
            "Epoch: 323 \tTraining Loss: 0.177691 \tValidation Loss: 18.944234 \tF1_train: 0.803571 \tF1_test: 0.511628\n",
            "Epoch: 324 \tTraining Loss: 0.184150 \tValidation Loss: 18.267243 \tF1_train: 0.803571 \tF1_test: 0.511628\n",
            "Epoch: 325 \tTraining Loss: 0.152708 \tValidation Loss: 14.749354 \tF1_train: 0.815476 \tF1_test: 0.581395\n",
            "Epoch: 326 \tTraining Loss: 0.160944 \tValidation Loss: 13.697939 \tF1_train: 0.827381 \tF1_test: 0.534884\n",
            "Epoch: 327 \tTraining Loss: 0.175084 \tValidation Loss: 16.512188 \tF1_train: 0.797619 \tF1_test: 0.604651\n",
            "Epoch: 328 \tTraining Loss: 0.167752 \tValidation Loss: 17.260739 \tF1_train: 0.833333 \tF1_test: 0.581395\n",
            "Epoch: 329 \tTraining Loss: 0.197687 \tValidation Loss: 18.789700 \tF1_train: 0.797619 \tF1_test: 0.604651\n",
            "Epoch: 330 \tTraining Loss: 0.282934 \tValidation Loss: 21.326132 \tF1_train: 0.761905 \tF1_test: 0.465116\n",
            "Epoch: 331 \tTraining Loss: 0.206092 \tValidation Loss: 18.507955 \tF1_train: 0.785714 \tF1_test: 0.511628\n",
            "Epoch: 332 \tTraining Loss: 0.167061 \tValidation Loss: 18.775408 \tF1_train: 0.845238 \tF1_test: 0.558140\n",
            "Epoch: 333 \tTraining Loss: 0.216135 \tValidation Loss: 21.490981 \tF1_train: 0.797619 \tF1_test: 0.534884\n",
            "Epoch: 334 \tTraining Loss: 0.156094 \tValidation Loss: 17.015026 \tF1_train: 0.833333 \tF1_test: 0.511628\n",
            "Epoch: 335 \tTraining Loss: 0.192366 \tValidation Loss: 15.652455 \tF1_train: 0.827381 \tF1_test: 0.488372\n",
            "Epoch: 336 \tTraining Loss: 0.167480 \tValidation Loss: 16.044479 \tF1_train: 0.851190 \tF1_test: 0.581395\n",
            "Epoch: 337 \tTraining Loss: 0.159010 \tValidation Loss: 16.836257 \tF1_train: 0.833333 \tF1_test: 0.511628\n",
            "Epoch: 338 \tTraining Loss: 0.194307 \tValidation Loss: 22.072515 \tF1_train: 0.785714 \tF1_test: 0.441860\n",
            "Epoch: 339 \tTraining Loss: 0.205090 \tValidation Loss: 15.625182 \tF1_train: 0.755952 \tF1_test: 0.558140\n",
            "Epoch: 340 \tTraining Loss: 0.137585 \tValidation Loss: 15.245290 \tF1_train: 0.863095 \tF1_test: 0.558140\n",
            "Epoch: 341 \tTraining Loss: 0.163173 \tValidation Loss: 15.912385 \tF1_train: 0.845238 \tF1_test: 0.604651\n",
            "Epoch: 342 \tTraining Loss: 0.132553 \tValidation Loss: 16.456337 \tF1_train: 0.869048 \tF1_test: 0.604651\n",
            "Epoch: 343 \tTraining Loss: 0.167009 \tValidation Loss: 18.344932 \tF1_train: 0.833333 \tF1_test: 0.441860\n",
            "Epoch: 344 \tTraining Loss: 0.194399 \tValidation Loss: 19.111750 \tF1_train: 0.815476 \tF1_test: 0.488372\n",
            "Epoch: 345 \tTraining Loss: 0.204391 \tValidation Loss: 12.973827 \tF1_train: 0.773810 \tF1_test: 0.534884\n",
            "Epoch: 346 \tTraining Loss: 0.142545 \tValidation Loss: 12.555073 \tF1_train: 0.839286 \tF1_test: 0.581395\n",
            "Epoch: 347 \tTraining Loss: 0.197469 \tValidation Loss: 21.571508 \tF1_train: 0.791667 \tF1_test: 0.488372\n",
            "Epoch: 348 \tTraining Loss: 0.222683 \tValidation Loss: 18.662224 \tF1_train: 0.803571 \tF1_test: 0.511628\n",
            "Epoch: 349 \tTraining Loss: 0.143361 \tValidation Loss: 15.614799 \tF1_train: 0.845238 \tF1_test: 0.465116\n",
            "Epoch: 350 \tTraining Loss: 0.157945 \tValidation Loss: 12.335722 \tF1_train: 0.809524 \tF1_test: 0.558140\n",
            "Epoch: 351 \tTraining Loss: 0.193070 \tValidation Loss: 13.287290 \tF1_train: 0.773810 \tF1_test: 0.581395\n",
            "Epoch: 352 \tTraining Loss: 0.140093 \tValidation Loss: 15.231210 \tF1_train: 0.851190 \tF1_test: 0.511628\n",
            "Epoch: 353 \tTraining Loss: 0.156725 \tValidation Loss: 15.214533 \tF1_train: 0.827381 \tF1_test: 0.604651\n",
            "Epoch: 354 \tTraining Loss: 0.167943 \tValidation Loss: 18.696208 \tF1_train: 0.809524 \tF1_test: 0.604651\n",
            "Epoch: 355 \tTraining Loss: 0.184372 \tValidation Loss: 20.319158 \tF1_train: 0.845238 \tF1_test: 0.604651\n",
            "Epoch: 356 \tTraining Loss: 0.219647 \tValidation Loss: 19.807600 \tF1_train: 0.797619 \tF1_test: 0.534884\n",
            "Epoch: 357 \tTraining Loss: 0.191145 \tValidation Loss: 15.331837 \tF1_train: 0.785714 \tF1_test: 0.534884\n",
            "Epoch: 358 \tTraining Loss: 0.201400 \tValidation Loss: 23.652437 \tF1_train: 0.839286 \tF1_test: 0.348837\n",
            "Epoch: 359 \tTraining Loss: 0.196712 \tValidation Loss: 12.398473 \tF1_train: 0.797619 \tF1_test: 0.604651\n",
            "Epoch: 360 \tTraining Loss: 0.175699 \tValidation Loss: 12.937320 \tF1_train: 0.857143 \tF1_test: 0.697674\n",
            "Epoch: 361 \tTraining Loss: 0.132178 \tValidation Loss: 12.957833 \tF1_train: 0.863095 \tF1_test: 0.697674\n",
            "Epoch: 362 \tTraining Loss: 0.134752 \tValidation Loss: 12.112118 \tF1_train: 0.851190 \tF1_test: 0.697674\n",
            "Epoch: 363 \tTraining Loss: 0.107887 \tValidation Loss: 11.587519 \tF1_train: 0.904762 \tF1_test: 0.627907\n",
            "Epoch: 364 \tTraining Loss: 0.120114 \tValidation Loss: 11.933020 \tF1_train: 0.863095 \tF1_test: 0.627907\n",
            "Epoch: 365 \tTraining Loss: 0.090482 \tValidation Loss: 12.555731 \tF1_train: 0.898810 \tF1_test: 0.674419\n",
            "Epoch: 366 \tTraining Loss: 0.115136 \tValidation Loss: 15.853267 \tF1_train: 0.869048 \tF1_test: 0.534884\n",
            "Epoch: 367 \tTraining Loss: 0.129206 \tValidation Loss: 15.415009 \tF1_train: 0.845238 \tF1_test: 0.651163\n",
            "Epoch: 368 \tTraining Loss: 0.086769 \tValidation Loss: 14.113796 \tF1_train: 0.892857 \tF1_test: 0.627907\n",
            "Epoch: 369 \tTraining Loss: 0.151057 \tValidation Loss: 16.007889 \tF1_train: 0.869048 \tF1_test: 0.511628\n",
            "Epoch: 370 \tTraining Loss: 0.174964 \tValidation Loss: 20.926091 \tF1_train: 0.857143 \tF1_test: 0.465116\n",
            "Epoch: 371 \tTraining Loss: 0.134726 \tValidation Loss: 25.237207 \tF1_train: 0.839286 \tF1_test: 0.325581\n",
            "Epoch: 372 \tTraining Loss: 0.143065 \tValidation Loss: 19.879606 \tF1_train: 0.857143 \tF1_test: 0.511628\n",
            "Epoch: 373 \tTraining Loss: 0.195001 \tValidation Loss: 14.459747 \tF1_train: 0.809524 \tF1_test: 0.534884\n",
            "Epoch: 374 \tTraining Loss: 0.136071 \tValidation Loss: 12.919364 \tF1_train: 0.845238 \tF1_test: 0.604651\n",
            "Epoch: 375 \tTraining Loss: 0.095837 \tValidation Loss: 12.892648 \tF1_train: 0.886905 \tF1_test: 0.651163\n",
            "Epoch: 376 \tTraining Loss: 0.083322 \tValidation Loss: 13.390440 \tF1_train: 0.916667 \tF1_test: 0.674419\n",
            "Epoch: 377 \tTraining Loss: 0.119558 \tValidation Loss: 14.627537 \tF1_train: 0.875000 \tF1_test: 0.720930\n",
            "Epoch: 378 \tTraining Loss: 0.119417 \tValidation Loss: 16.265997 \tF1_train: 0.869048 \tF1_test: 0.627907\n",
            "Epoch: 379 \tTraining Loss: 0.154982 \tValidation Loss: 16.204668 \tF1_train: 0.845238 \tF1_test: 0.604651\n",
            "Epoch: 380 \tTraining Loss: 0.162903 \tValidation Loss: 23.101884 \tF1_train: 0.845238 \tF1_test: 0.418605\n",
            "Epoch: 381 \tTraining Loss: 0.121607 \tValidation Loss: 17.204496 \tF1_train: 0.851190 \tF1_test: 0.581395\n",
            "Epoch: 382 \tTraining Loss: 0.200536 \tValidation Loss: 20.446516 \tF1_train: 0.803571 \tF1_test: 0.441860\n",
            "Epoch: 383 \tTraining Loss: 0.194303 \tValidation Loss: 14.410731 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 384 \tTraining Loss: 0.172819 \tValidation Loss: 13.543652 \tF1_train: 0.857143 \tF1_test: 0.674419\n",
            "Epoch: 385 \tTraining Loss: 0.127766 \tValidation Loss: 13.956778 \tF1_train: 0.857143 \tF1_test: 0.651163\n",
            "Epoch: 386 \tTraining Loss: 0.145099 \tValidation Loss: 13.447234 \tF1_train: 0.839286 \tF1_test: 0.558140\n",
            "Epoch: 387 \tTraining Loss: 0.082952 \tValidation Loss: 12.456734 \tF1_train: 0.910714 \tF1_test: 0.604651\n",
            "Epoch: 388 \tTraining Loss: 0.095145 \tValidation Loss: 14.020845 \tF1_train: 0.892857 \tF1_test: 0.604651\n",
            "Epoch: 389 \tTraining Loss: 0.099267 \tValidation Loss: 13.696346 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 390 \tTraining Loss: 0.075513 \tValidation Loss: 14.500863 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 391 \tTraining Loss: 0.087606 \tValidation Loss: 15.669610 \tF1_train: 0.904762 \tF1_test: 0.651163\n",
            "Epoch: 392 \tTraining Loss: 0.152610 \tValidation Loss: 15.528414 \tF1_train: 0.839286 \tF1_test: 0.651163\n",
            "Epoch: 393 \tTraining Loss: 0.148874 \tValidation Loss: 15.641206 \tF1_train: 0.827381 \tF1_test: 0.674419\n",
            "Epoch: 394 \tTraining Loss: 0.152942 \tValidation Loss: 16.156972 \tF1_train: 0.845238 \tF1_test: 0.558140\n",
            "Epoch: 395 \tTraining Loss: 0.139583 \tValidation Loss: 14.705760 \tF1_train: 0.815476 \tF1_test: 0.627907\n",
            "Epoch: 396 \tTraining Loss: 0.108709 \tValidation Loss: 14.456229 \tF1_train: 0.875000 \tF1_test: 0.558140\n",
            "Epoch: 397 \tTraining Loss: 0.099260 \tValidation Loss: 12.956225 \tF1_train: 0.880952 \tF1_test: 0.627907\n",
            "Epoch: 398 \tTraining Loss: 0.118252 \tValidation Loss: 15.095030 \tF1_train: 0.875000 \tF1_test: 0.581395\n",
            "Epoch: 399 \tTraining Loss: 0.120242 \tValidation Loss: 12.947086 \tF1_train: 0.869048 \tF1_test: 0.651163\n",
            "Epoch: 400 \tTraining Loss: 0.123575 \tValidation Loss: 18.066458 \tF1_train: 0.851190 \tF1_test: 0.511628\n",
            "Epoch: 401 \tTraining Loss: 0.133570 \tValidation Loss: 17.719844 \tF1_train: 0.886905 \tF1_test: 0.511628\n",
            "Epoch: 402 \tTraining Loss: 0.099900 \tValidation Loss: 18.120654 \tF1_train: 0.875000 \tF1_test: 0.558140\n",
            "Epoch: 403 \tTraining Loss: 0.088511 \tValidation Loss: 13.779779 \tF1_train: 0.898810 \tF1_test: 0.651163\n",
            "Epoch: 404 \tTraining Loss: 0.141197 \tValidation Loss: 13.739153 \tF1_train: 0.869048 \tF1_test: 0.627907\n",
            "Epoch: 405 \tTraining Loss: 0.111958 \tValidation Loss: 14.577180 \tF1_train: 0.886905 \tF1_test: 0.581395\n",
            "Epoch: 406 \tTraining Loss: 0.103948 \tValidation Loss: 14.395047 \tF1_train: 0.880952 \tF1_test: 0.581395\n",
            "Epoch: 407 \tTraining Loss: 0.111792 \tValidation Loss: 14.950384 \tF1_train: 0.880952 \tF1_test: 0.581395\n",
            "Epoch: 408 \tTraining Loss: 0.106467 \tValidation Loss: 13.574728 \tF1_train: 0.880952 \tF1_test: 0.651163\n",
            "Epoch: 409 \tTraining Loss: 0.100168 \tValidation Loss: 14.642834 \tF1_train: 0.880952 \tF1_test: 0.697674\n",
            "Epoch: 410 \tTraining Loss: 0.105875 \tValidation Loss: 13.428347 \tF1_train: 0.875000 \tF1_test: 0.674419\n",
            "Epoch: 411 \tTraining Loss: 0.114773 \tValidation Loss: 13.582130 \tF1_train: 0.880952 \tF1_test: 0.651163\n",
            "Epoch: 412 \tTraining Loss: 0.090682 \tValidation Loss: 15.709394 \tF1_train: 0.886905 \tF1_test: 0.744186\n",
            "Epoch: 413 \tTraining Loss: 0.120643 \tValidation Loss: 17.651414 \tF1_train: 0.845238 \tF1_test: 0.674419\n",
            "Epoch: 414 \tTraining Loss: 0.094913 \tValidation Loss: 13.955739 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 415 \tTraining Loss: 0.126486 \tValidation Loss: 12.413654 \tF1_train: 0.863095 \tF1_test: 0.651163\n",
            "Epoch: 416 \tTraining Loss: 0.073827 \tValidation Loss: 18.667288 \tF1_train: 0.910714 \tF1_test: 0.511628\n",
            "Epoch: 417 \tTraining Loss: 0.071197 \tValidation Loss: 15.684319 \tF1_train: 0.892857 \tF1_test: 0.674419\n",
            "Epoch: 418 \tTraining Loss: 0.089145 \tValidation Loss: 14.819463 \tF1_train: 0.880952 \tF1_test: 0.697674\n",
            "Epoch: 419 \tTraining Loss: 0.120420 \tValidation Loss: 14.485212 \tF1_train: 0.869048 \tF1_test: 0.604651\n",
            "Epoch: 420 \tTraining Loss: 0.087648 \tValidation Loss: 16.181813 \tF1_train: 0.892857 \tF1_test: 0.627907\n",
            "Epoch: 421 \tTraining Loss: 0.079216 \tValidation Loss: 15.601973 \tF1_train: 0.916667 \tF1_test: 0.511628\n",
            "Epoch: 422 \tTraining Loss: 0.109240 \tValidation Loss: 15.274692 \tF1_train: 0.880952 \tF1_test: 0.627907\n",
            "Epoch: 423 \tTraining Loss: 0.089774 \tValidation Loss: 15.191882 \tF1_train: 0.869048 \tF1_test: 0.674419\n",
            "Epoch: 424 \tTraining Loss: 0.100756 \tValidation Loss: 14.315200 \tF1_train: 0.892857 \tF1_test: 0.720930\n",
            "Epoch: 425 \tTraining Loss: 0.098435 \tValidation Loss: 14.906728 \tF1_train: 0.880952 \tF1_test: 0.604651\n",
            "Epoch: 426 \tTraining Loss: 0.092069 \tValidation Loss: 14.514025 \tF1_train: 0.910714 \tF1_test: 0.651163\n",
            "Epoch: 427 \tTraining Loss: 0.093938 \tValidation Loss: 13.357169 \tF1_train: 0.880952 \tF1_test: 0.720930\n",
            "Epoch: 428 \tTraining Loss: 0.086651 \tValidation Loss: 11.740993 \tF1_train: 0.916667 \tF1_test: 0.674419\n",
            "Epoch: 429 \tTraining Loss: 0.102759 \tValidation Loss: 12.811576 \tF1_train: 0.892857 \tF1_test: 0.674419\n",
            "Epoch: 430 \tTraining Loss: 0.070666 \tValidation Loss: 14.049565 \tF1_train: 0.904762 \tF1_test: 0.697674\n",
            "Epoch: 431 \tTraining Loss: 0.093613 \tValidation Loss: 14.711372 \tF1_train: 0.892857 \tF1_test: 0.674419\n",
            "Epoch: 432 \tTraining Loss: 0.127357 \tValidation Loss: 17.486633 \tF1_train: 0.875000 \tF1_test: 0.627907\n",
            "Epoch: 433 \tTraining Loss: 0.078089 \tValidation Loss: 15.387799 \tF1_train: 0.910714 \tF1_test: 0.674419\n",
            "Epoch: 434 \tTraining Loss: 0.101978 \tValidation Loss: 15.814716 \tF1_train: 0.904762 \tF1_test: 0.674419\n",
            "Epoch: 435 \tTraining Loss: 0.089223 \tValidation Loss: 15.824601 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 436 \tTraining Loss: 0.056066 \tValidation Loss: 16.319159 \tF1_train: 0.940476 \tF1_test: 0.697674\n",
            "Epoch: 437 \tTraining Loss: 0.100916 \tValidation Loss: 15.660476 \tF1_train: 0.898810 \tF1_test: 0.627907\n",
            "Epoch: 438 \tTraining Loss: 0.125857 \tValidation Loss: 13.592068 \tF1_train: 0.863095 \tF1_test: 0.604651\n",
            "Epoch: 439 \tTraining Loss: 0.074965 \tValidation Loss: 14.685728 \tF1_train: 0.898810 \tF1_test: 0.720930\n",
            "Epoch: 440 \tTraining Loss: 0.076295 \tValidation Loss: 15.200089 \tF1_train: 0.904762 \tF1_test: 0.720930\n",
            "Epoch: 441 \tTraining Loss: 0.053614 \tValidation Loss: 13.669980 \tF1_train: 0.922619 \tF1_test: 0.744186\n",
            "Epoch: 442 \tTraining Loss: 0.060897 \tValidation Loss: 12.732469 \tF1_train: 0.898810 \tF1_test: 0.767442\n",
            "Epoch: 443 \tTraining Loss: 0.084876 \tValidation Loss: 13.528236 \tF1_train: 0.880952 \tF1_test: 0.720930\n",
            "Epoch: 444 \tTraining Loss: 0.112103 \tValidation Loss: 13.554934 \tF1_train: 0.869048 \tF1_test: 0.720930\n",
            "Epoch: 445 \tTraining Loss: 0.075121 \tValidation Loss: 12.354426 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 446 \tTraining Loss: 0.081415 \tValidation Loss: 13.265815 \tF1_train: 0.886905 \tF1_test: 0.697674\n",
            "Epoch: 447 \tTraining Loss: 0.079508 \tValidation Loss: 13.928428 \tF1_train: 0.898810 \tF1_test: 0.720930\n",
            "Epoch: 448 \tTraining Loss: 0.057998 \tValidation Loss: 14.003445 \tF1_train: 0.928571 \tF1_test: 0.697674\n",
            "Epoch: 449 \tTraining Loss: 0.111663 \tValidation Loss: 13.225642 \tF1_train: 0.898810 \tF1_test: 0.697674\n",
            "Epoch: 450 \tTraining Loss: 0.116796 \tValidation Loss: 12.968963 \tF1_train: 0.875000 \tF1_test: 0.674419\n",
            "Epoch: 451 \tTraining Loss: 0.102332 \tValidation Loss: 14.231178 \tF1_train: 0.892857 \tF1_test: 0.604651\n",
            "Epoch: 452 \tTraining Loss: 0.104667 \tValidation Loss: 13.435046 \tF1_train: 0.886905 \tF1_test: 0.651163\n",
            "Epoch: 453 \tTraining Loss: 0.061903 \tValidation Loss: 12.607135 \tF1_train: 0.904762 \tF1_test: 0.697674\n",
            "Epoch: 454 \tTraining Loss: 0.079052 \tValidation Loss: 12.330655 \tF1_train: 0.904762 \tF1_test: 0.697674\n",
            "Epoch: 455 \tTraining Loss: 0.109384 \tValidation Loss: 12.171129 \tF1_train: 0.880952 \tF1_test: 0.720930\n",
            "Epoch: 456 \tTraining Loss: 0.066290 \tValidation Loss: 12.629408 \tF1_train: 0.904762 \tF1_test: 0.744186\n",
            "Epoch: 457 \tTraining Loss: 0.054587 \tValidation Loss: 12.808329 \tF1_train: 0.928571 \tF1_test: 0.767442\n",
            "Epoch: 458 \tTraining Loss: 0.057281 \tValidation Loss: 14.669903 \tF1_train: 0.922619 \tF1_test: 0.720930\n",
            "Epoch: 459 \tTraining Loss: 0.083178 \tValidation Loss: 13.681572 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 460 \tTraining Loss: 0.054891 \tValidation Loss: 13.263971 \tF1_train: 0.916667 \tF1_test: 0.674419\n",
            "Epoch: 461 \tTraining Loss: 0.071281 \tValidation Loss: 12.303835 \tF1_train: 0.904762 \tF1_test: 0.720930\n",
            "Epoch: 462 \tTraining Loss: 0.065211 \tValidation Loss: 11.851214 \tF1_train: 0.928571 \tF1_test: 0.720930\n",
            "Epoch: 463 \tTraining Loss: 0.040471 \tValidation Loss: 12.620310 \tF1_train: 0.922619 \tF1_test: 0.720930\n",
            "Epoch: 464 \tTraining Loss: 0.047706 \tValidation Loss: 12.275048 \tF1_train: 0.898810 \tF1_test: 0.720930\n",
            "Epoch: 465 \tTraining Loss: 0.058190 \tValidation Loss: 12.045646 \tF1_train: 0.922619 \tF1_test: 0.720930\n",
            "Epoch: 466 \tTraining Loss: 0.054754 \tValidation Loss: 12.759935 \tF1_train: 0.916667 \tF1_test: 0.720930\n",
            "Epoch: 467 \tTraining Loss: 0.075864 \tValidation Loss: 12.345604 \tF1_train: 0.904762 \tF1_test: 0.720930\n",
            "Epoch: 468 \tTraining Loss: 0.062655 \tValidation Loss: 12.752529 \tF1_train: 0.892857 \tF1_test: 0.697674\n",
            "Epoch: 469 \tTraining Loss: 0.057303 \tValidation Loss: 13.843772 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 470 \tTraining Loss: 0.055619 \tValidation Loss: 14.796895 \tF1_train: 0.904762 \tF1_test: 0.744186\n",
            "Epoch: 471 \tTraining Loss: 0.054796 \tValidation Loss: 14.114367 \tF1_train: 0.910714 \tF1_test: 0.720930\n",
            "Epoch: 472 \tTraining Loss: 0.080362 \tValidation Loss: 14.589625 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 473 \tTraining Loss: 0.079388 \tValidation Loss: 13.703087 \tF1_train: 0.892857 \tF1_test: 0.697674\n",
            "Epoch: 474 \tTraining Loss: 0.055764 \tValidation Loss: 12.941709 \tF1_train: 0.910714 \tF1_test: 0.720930\n",
            "Epoch: 475 \tTraining Loss: 0.118570 \tValidation Loss: 13.723990 \tF1_train: 0.898810 \tF1_test: 0.720930\n",
            "Epoch: 476 \tTraining Loss: 0.053783 \tValidation Loss: 14.604146 \tF1_train: 0.898810 \tF1_test: 0.651163\n",
            "Epoch: 477 \tTraining Loss: 0.064281 \tValidation Loss: 13.971972 \tF1_train: 0.892857 \tF1_test: 0.697674\n",
            "Epoch: 478 \tTraining Loss: 0.093181 \tValidation Loss: 14.828683 \tF1_train: 0.869048 \tF1_test: 0.651163\n",
            "Epoch: 479 \tTraining Loss: 0.084281 \tValidation Loss: 13.594297 \tF1_train: 0.910714 \tF1_test: 0.674419\n",
            "Epoch: 480 \tTraining Loss: 0.066173 \tValidation Loss: 14.093147 \tF1_train: 0.898810 \tF1_test: 0.674419\n",
            "Epoch: 481 \tTraining Loss: 0.074411 \tValidation Loss: 14.216080 \tF1_train: 0.904762 \tF1_test: 0.744186\n",
            "Epoch: 482 \tTraining Loss: 0.049181 \tValidation Loss: 14.402589 \tF1_train: 0.922619 \tF1_test: 0.744186\n",
            "Epoch: 483 \tTraining Loss: 0.059080 \tValidation Loss: 14.637346 \tF1_train: 0.904762 \tF1_test: 0.720930\n",
            "Epoch: 484 \tTraining Loss: 0.082728 \tValidation Loss: 14.512032 \tF1_train: 0.886905 \tF1_test: 0.744186\n",
            "Epoch: 485 \tTraining Loss: 0.054679 \tValidation Loss: 14.626861 \tF1_train: 0.916667 \tF1_test: 0.767442\n",
            "Epoch: 486 \tTraining Loss: 0.074625 \tValidation Loss: 13.733686 \tF1_train: 0.904762 \tF1_test: 0.720930\n",
            "Epoch: 487 \tTraining Loss: 0.060497 \tValidation Loss: 13.745459 \tF1_train: 0.910714 \tF1_test: 0.697674\n",
            "Epoch: 488 \tTraining Loss: 0.054387 \tValidation Loss: 14.092477 \tF1_train: 0.916667 \tF1_test: 0.720930\n",
            "Epoch: 489 \tTraining Loss: 0.040024 \tValidation Loss: 14.456463 \tF1_train: 0.940476 \tF1_test: 0.767442\n",
            "Epoch: 490 \tTraining Loss: 0.052647 \tValidation Loss: 14.080403 \tF1_train: 0.934524 \tF1_test: 0.767442\n",
            "Epoch: 491 \tTraining Loss: 0.063564 \tValidation Loss: 14.201723 \tF1_train: 0.916667 \tF1_test: 0.744186\n",
            "Epoch: 492 \tTraining Loss: 0.074282 \tValidation Loss: 14.464740 \tF1_train: 0.916667 \tF1_test: 0.674419\n",
            "Epoch: 493 \tTraining Loss: 0.070451 \tValidation Loss: 14.609230 \tF1_train: 0.898810 \tF1_test: 0.720930\n",
            "Epoch: 494 \tTraining Loss: 0.047872 \tValidation Loss: 14.654556 \tF1_train: 0.922619 \tF1_test: 0.744186\n",
            "Epoch: 495 \tTraining Loss: 0.050156 \tValidation Loss: 13.938320 \tF1_train: 0.922619 \tF1_test: 0.767442\n",
            "Epoch: 496 \tTraining Loss: 0.035205 \tValidation Loss: 13.784277 \tF1_train: 0.934524 \tF1_test: 0.790698\n",
            "Epoch: 497 \tTraining Loss: 0.073560 \tValidation Loss: 13.712237 \tF1_train: 0.904762 \tF1_test: 0.744186\n",
            "Epoch: 498 \tTraining Loss: 0.041529 \tValidation Loss: 14.150461 \tF1_train: 0.934524 \tF1_test: 0.720930\n",
            "Epoch: 499 \tTraining Loss: 0.056637 \tValidation Loss: 14.420938 \tF1_train: 0.928571 \tF1_test: 0.720930\n",
            "Epoch: 500 \tTraining Loss: 0.051267 \tValidation Loss: 14.027076 \tF1_train: 0.922619 \tF1_test: 0.744186\n",
            "Best F1: 0.7906976744186046\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "boring-monster"
      },
      "source": [
        "### let's look at the training performance"
      ],
      "id": "boring-monster"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "empty-redhead",
        "outputId": "0e41a46c-826b-4bac-92a4-339cdffc8871"
      },
      "source": [
        "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, constrained_layout=True, figsize=(15,3))\n",
        "\n",
        "ax1.plot(train_losses, label='Training loss')\n",
        "ax1.plot(valid_losses, label='Validation loss')\n",
        "ax1.set_xlabel('epoch')\n",
        "ax1.set_ylabel('loss')\n",
        "ax1.set_title('losses')\n",
        "\n",
        "ax2.plot(train_acc, label='Train Accuracy')\n",
        "ax2.plot(test_acc, label='Test Accuracy')\n",
        "ax2.set_xlabel('epoch')\n",
        "ax2.set_ylabel('% acc')\n",
        "ax2.set_title('Accuracy')\n",
        "\n",
        "ax3.plot(train_F1, label='Train F1')\n",
        "ax3.plot(test_F1, label='Test F1')\n",
        "ax3.set_title('F1-Score')\n",
        "\n",
        "plt.legend(['Train','Test'])\n",
        "plt.show()"
      ],
      "id": "empty-redhead",
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "closed-charlotte",
        "outputId": "1cc7a0dc-6d5d-46f0-adcf-20d5ca4009d5"
      },
      "source": [
        "print('Best score at epoch:',np.argmax(test_acc)+1,'; train acc: ',train_acc[np.argmax(test_acc)],'test acc: ',max(test_acc))\n",
        "print('Last score at epoch:',num_epochs,'; train acc: ',train_acc[-1],'test acc: ',test_acc[-1])"
      ],
      "id": "closed-charlotte",
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Best score at epoch: 496 ; train acc:  0.9345238095238095 test acc:  0.7906976744186046\n",
            "Last score at epoch: 500 ; train acc:  0.9226190476190477 test acc:  0.7441860465116279\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "educational-transsexual"
      },
      "source": [
        "### Showing the last epoch results"
      ],
      "id": "educational-transsexual"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rotary-evans"
      },
      "source": [
        "this is the test result from last epoch, for the best one, you can load the best checkpoint then eval the test pack yourself'"
      ],
      "id": "rotary-evans"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "saving-webster",
        "outputId": "d4f83d6b-ae9a-48a1-c647-01c2985f017e"
      },
      "source": [
        "plt.figure(figsize=(15, 5))\n",
        "for i in range(20):\n",
        "  ax = plt.subplot(4, 5, i + 1)\n",
        "\n",
        "  imgs = mpimg.imread(testdf.iloc[i,0])  \n",
        "  plt.imshow(imgs)\n",
        "  label = testdf.iloc[i,1]\n",
        "  plt.title('label: '+testdf.iloc[i,2]+'\\n pred: '+dir_label[final_pred[i][0]])\n",
        "  plt.axis(\"off\")\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "id": "saving-webster",
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 20 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "prescribed-cambodia"
      },
      "source": [
        "final_target_list = []\n",
        "final_pred_list = []\n",
        "for i in range(len(final_pred)):\n",
        "    final_pred_list.append(dir_label[final_pred[i][0]])\n",
        "    final_target_list.append(dir_label[final_target[i][0]])"
      ],
      "id": "prescribed-cambodia",
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "automotive-intersection"
      },
      "source": [
        "making the confusion matrix"
      ],
      "id": "automotive-intersection"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 538
        },
        "id": "hourly-radiation",
        "outputId": "f120fdea-f3ac-4169-bb71-a7b74292a147"
      },
      "source": [
        "fig2 = plt.figure(figsize=(8,8))\n",
        "confm = confusion_matrix(final_target_list, final_pred_list)\n",
        "ax = sn.heatmap(confm, xticklabels=dir_label, yticklabels=dir_label, cmap='Blues', annot=True, fmt='g', linewidths=1, linecolor='black') \n",
        "plt.tick_params(axis='both', which='major', labelsize=10, labelbottom = False, bottom=False, top = False, labeltop=True)\n",
        "plt.xticks(rotation=45) \n",
        "plt.show()"
      ],
      "id": "hourly-radiation",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}