Using_Deep_Learning_to_Annotate_the_Protein_Universe.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Download Dataset"
      ],
      "metadata": {
        "id": "KWuQOSzGfayo"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4d5etcO06S-z",
        "outputId": "a6ecc976-5610-4cd7-8ac9-ad8b7fabd2be"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2022.9.24)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (6.1.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.64.1)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4)\n"
          ]
        }
      ],
      "source": [
        "!pip install kaggle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cU6e1WzS6WcN",
        "outputId": "d6e8485d-e131-4f26-e3b8-9c63785e9b52"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "total 4\n",
            "-rw------- 1 root root 67 Nov 11 12:02 kaggle.json\n"
          ]
        }
      ],
      "source": [
        "!mkdir -p ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/\n",
        "!chmod 600 ~/.kaggle/kaggle.json\n",
        "!ls -l ~/.kaggle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gjgj5ZNx8VhZ",
        "outputId": "99d2800f-d3a5-443c-8431-6e6ffbea0eda"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading novozymes-enzyme-stability-prediction.zip to /content\n",
            " 99% 7.00M/7.06M [00:01<00:00, 6.77MB/s]\n",
            "100% 7.06M/7.06M [00:01<00:00, 3.75MB/s]\n"
          ]
        }
      ],
      "source": [
        "!kaggle competitions download -c novozymes-enzyme-stability-prediction"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MokWaWcw-hLF",
        "outputId": "0d62e2cf-4a19-4b8d-82ab-c531962ef390"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  novozymes-enzyme-stability-prediction.zip\n",
            "  inflating: sample_submission.csv   \n",
            "  inflating: test.csv                \n",
            "  inflating: train.csv               \n",
            "  inflating: train_updates_20220929.csv  \n",
            "  inflating: wildtype_structure_prediction_af2.pdb  \n"
          ]
        }
      ],
      "source": [
        "!unzip novozymes-enzyme-stability-prediction.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JiE3VVze_Fn4",
        "outputId": "48508a9c-7304-4276-89c8-27ef455d77f4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: opendatasets in /usr/local/lib/python3.7/dist-packages (0.1.22)\n",
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (from opendatasets) (1.5.12)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from opendatasets) (4.64.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from opendatasets) (7.1.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.23.0)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.15.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2022.9.24)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.8.2)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.24.3)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (6.1.2)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle->opendatasets) (1.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (3.0.4)\n"
          ]
        }
      ],
      "source": [
        "!pip install opendatasets"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KMzSqydp_Igt",
        "outputId": "012b6fe5-1b16-4d6b-caf7-2e7761268a28"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading pfam-seed-random-split.zip to ./pfam-seed-random-split\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 493M/493M [00:35<00:00, 14.7MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n"
          ]
        }
      ],
      "source": [
        "import opendatasets as op\n",
        "op.download(\"https://www.kaggle.com/datasets/googleai/pfam-seed-random-split\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "DGLU1ToW_tUF"
      },
      "outputs": [],
      "source": [
        "dataset_folder = \"pfam-seed-random-split/random_split\"\n",
        "filters = 64\n",
        "epochs = 60\n",
        "batch_size = 128\n",
        "protein_len = 200\n",
        "protein_family_number = 600"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Import Packages"
      ],
      "metadata": {
        "id": "ZGYjX1DJfkh_"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "metadata": {
        "id": "zYoh_DrS14eO"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "from sklearn import preprocessing\n",
        "from keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "from keras.layers import add, maximum, minimum\n",
        "import tensorflow_probability as tfp\n",
        "tfd = tfp.distributions \n",
        "tfpl = tfp.layers\n",
        "from keras import regularizers\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import os"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Read Dataset"
      ],
      "metadata": {
        "id": "vJ9xDbLmfph_"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "id": "wp9lxVA7_42k"
      },
      "outputs": [],
      "source": [
        "def read_data(name_sub_folder):\n",
        "  full_data = []\n",
        "  for f in os.listdir(os.path.join(dataset_folder, name_sub_folder)):\n",
        "    data = pd.read_csv(os.path.join(dataset_folder, name_sub_folder, f))\n",
        "    full_data.append(data)\n",
        "  return pd.concat(full_data)  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "id": "hocFI7D_AoAA",
        "outputId": "4e690d16-5c6f-4881-f655-286b9ca0cd98"
      },
      "outputs": [
        {
          "output_type": "execute_result",
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              "      family_id            sequence_name family_accession  \\\n",
              "0         IMPDH       Q0P9J4_CAMJE/7-469       PF00478.25   \n",
              "1  SpoIIAA-like  A0A1N0ZRF1_9MYCO/12-121        PF11964.8   \n",
              "2      ALS_ss_C      C9RN45_FIBSS/87-160        PF10369.9   \n",
              "3       DUF3767      T0KI99_COLGC/87-187        PF12597.8   \n",
              "4  Oxygenase-NA      D3EL69_GEOS4/65-236        PF09859.9   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  ALTFEDVLLRPGYS..EVLPK.EVKIHTKLT....K.N......IT...   \n",
              "1  VVGFRVS...GR......LTGNELRE.FTSTI..........KEAL...   \n",
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              "3  PTTAWEVVKNIK.SEDFT..TFAQAPCARDGLLTGIAAGFVVGGLR...   \n",
              "4  GEYKYYQAPLP..ETLQQLREGLYPELALTANRWLNRLGHEEKYPA...   \n",
              "\n",
              "                                            sequence  \n",
              "0  ALTFEDVLLRPGYSEVLPKEVKIHTKLTKNITLNMPLISAAMDTVT...  \n",
              "1  VVGFRVSGRLTGNELREFTSTIKEALNGDELRIVEVIASDYEGFGP...  \n",
              "2  KELALIKVRCTAEQRTEILQLCDHFHANTVDMTMTSMIIQITGNSQ...  \n",
              "3  PTTAWEVVKNIKSEDFTTFAQAPCARDGLLTGIAAGFVVGGLRLVF...  \n",
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              "      <th>family_id</th>\n",
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              "      <th>0</th>\n",
              "      <td>IMPDH</td>\n",
              "      <td>Q0P9J4_CAMJE/7-469</td>\n",
              "      <td>PF00478.25</td>\n",
              "      <td>ALTFEDVLLRPGYS..EVLPK.EVKIHTKLT....K.N......IT...</td>\n",
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              "      <th>1</th>\n",
              "      <td>SpoIIAA-like</td>\n",
              "      <td>A0A1N0ZRF1_9MYCO/12-121</td>\n",
              "      <td>PF11964.8</td>\n",
              "      <td>VVGFRVS...GR......LTGNELRE.FTSTI..........KEAL...</td>\n",
              "      <td>VVGFRVSGRLTGNELREFTSTIKEALNGDELRIVEVIASDYEGFGP...</td>\n",
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              "      <th>2</th>\n",
              "      <td>ALS_ss_C</td>\n",
              "      <td>C9RN45_FIBSS/87-160</td>\n",
              "      <td>PF10369.9</td>\n",
              "      <td>KELALIKVRCTA......E.QRTE.ILQLC..DHF....HANTVDM...</td>\n",
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              "      <td>PF12597.8</td>\n",
              "      <td>PTTAWEVVKNIK.SEDFT..TFAQAPCARDGLLTGIAAGFVVGGLR...</td>\n",
              "      <td>PTTAWEVVKNIKSEDFTTFAQAPCARDGLLTGIAAGFVVGGLRLVF...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Oxygenase-NA</td>\n",
              "      <td>D3EL69_GEOS4/65-236</td>\n",
              "      <td>PF09859.9</td>\n",
              "      <td>GEYKYYQAPLP..ETLQQLREGLYPELALTANRWLNRLGHEEKYPA...</td>\n",
              "      <td>GEYKYYQAPLPETLQQLREGLYPELALTANRWLNRLGHEEKYPASL...</td>\n",
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          },
          "metadata": {},
          "execution_count": 59
        }
      ],
      "source": [
        "dataset_train = read_data(\"train\")\n",
        "dataset_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "6oPrHLjsBPKu",
        "outputId": "9c177ce6-1521-4f17-8fcc-3920d76948af"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         family_id         sequence_name family_accession  \\\n",
              "0  GNAT_acetyltran   R6RQF6_9CLOT/17-251        PF12746.7   \n",
              "1             MoaC  W5NKR5_LEPOC/505-640       PF01967.21   \n",
              "2  Methyltransf_25   C0QLU8_DESAH/50-147        PF13649.6   \n",
              "3             EMG1   T1G7Q2_HELRO/22-222       PF03587.14   \n",
              "4  Glyco_hydro_30C  C6VRM9_DYAFD/453-540        PF17189.4   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  AFLFSGR..REVMAD....ACLQGMM..GCVYG..........TAG...   \n",
              "1  MVDVGGK.PVSRRTAAASATVLLG.EK..........AFWLV.......   \n",
              "2  VLDVACGT.C...D..VA...ME..AR.NQ.......T....G......   \n",
              "3  VVLERASLESVKV..G.................KEYQLLN....CD...   \n",
              "4  GAVRVDVSGGLGTD...............AMVVSSYLN..TDKSLV...   \n",
              "\n",
              "                                            sequence  \n",
              "0  AFLFSGRREVMADACLQGMMGCVYGTAGGMDSAAAVLGDFCFLAGK...  \n",
              "1  MVDVGGKPVSRRTAAASATVLLGEKAFWLVKENQLAKGDALAVAQI...  \n",
              "2  VLDVACGTCDVAMEARNQTGDAAFIIGTDFSPGMLTLGLQKLKKNR...  \n",
              "3  VVLERASLESVKVGKEYQLLNCDRHKGIAKKFKRDISTCRPDITHQ...  \n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>family_id</th>\n",
              "      <th>sequence_name</th>\n",
              "      <th>family_accession</th>\n",
              "      <th>aligned_sequence</th>\n",
              "      <th>sequence</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GNAT_acetyltran</td>\n",
              "      <td>R6RQF6_9CLOT/17-251</td>\n",
              "      <td>PF12746.7</td>\n",
              "      <td>AFLFSGR..REVMAD....ACLQGMM..GCVYG..........TAG...</td>\n",
              "      <td>AFLFSGRREVMADACLQGMMGCVYGTAGGMDSAAAVLGDFCFLAGK...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MoaC</td>\n",
              "      <td>W5NKR5_LEPOC/505-640</td>\n",
              "      <td>PF01967.21</td>\n",
              "      <td>MVDVGGK.PVSRRTAAASATVLLG.EK..........AFWLV.......</td>\n",
              "      <td>MVDVGGKPVSRRTAAASATVLLGEKAFWLVKENQLAKGDALAVAQI...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Methyltransf_25</td>\n",
              "      <td>C0QLU8_DESAH/50-147</td>\n",
              "      <td>PF13649.6</td>\n",
              "      <td>VLDVACGT.C...D..VA...ME..AR.NQ.......T....G......</td>\n",
              "      <td>VLDVACGTCDVAMEARNQTGDAAFIIGTDFSPGMLTLGLQKLKKNR...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>EMG1</td>\n",
              "      <td>T1G7Q2_HELRO/22-222</td>\n",
              "      <td>PF03587.14</td>\n",
              "      <td>VVLERASLESVKV..G.................KEYQLLN....CD...</td>\n",
              "      <td>VVLERASLESVKVGKEYQLLNCDRHKGIAKKFKRDISTCRPDITHQ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Glyco_hydro_30C</td>\n",
              "      <td>C6VRM9_DYAFD/453-540</td>\n",
              "      <td>PF17189.4</td>\n",
              "      <td>GAVRVDVSGGLGTD...............AMVVSSYLN..TDKSLV...</td>\n",
              "      <td>GAVRVDVSGGLGTDAMVVSSYLNTDKSLVTVIVNADNQDRDISLAI...</td>\n",
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              "          const element = document.querySelector('#df-d9cf8bac-af83-49c4-b971-becbf34c0201');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ],
      "source": [
        "dataset_test = read_data(\"test\")\n",
        "dataset_test.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "id": "I8VCt7qRBTbF",
        "outputId": "1c007d65-c080-40fa-9c07-5796e190806c"
      },
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        {
          "output_type": "execute_result",
          "data": {
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              "        family_id         sequence_name family_accession  \\\n",
              "0    zf-Tim10_DDP    N1QB11_PSEFD/15-76       PF02953.15   \n",
              "1   DNA_primase_S  A8XA78_CAEBR/105-345       PF01896.19   \n",
              "2   Col_cuticle_N     A8XBM5_CAEBR/9-56       PF01484.17   \n",
              "3         GST_C_3  W4XBU3_STRPU/120-207        PF14497.6   \n",
              "4  Ada_Zn_binding     E8U5K2_DEIML/9-73       PF02805.16   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  ..RMEKKQMKDFMNMYSNLVQRCFNDCV...........TD.F......   \n",
              "1  FDID..LTDYDNIRNCCKEATVCPKCWKFMVLAVKILDFLLDDMFG...   \n",
              "2  ASAAILSGATIVGCLFFAAQIFNEVNSLYDDVMVDMDAFKVKSNIA...   \n",
              "3  KD.................................KLKESLPKTVN...   \n",
              "4  DRWQAVVQRE...AAQ.DG...LFLYAVRTTGIYCRPSCPSRRPR....   \n",
              "\n",
              "                                            sequence  \n",
              "0  RMEKKQMKDFMNMYSNLVQRCFNDCVTDFTSKSLQSKEEGCVMRCV...  \n",
              "1  FDIDLTDYDNIRNCCKEATVCPKCWKFMVLAVKILDFLLDDMFGFN...  \n",
              "2   ASAAILSGATIVGCLFFAAQIFNEVNSLYDDVMVDMDAFKVKSNIAWD  \n",
              "3  KDKLKESLPKTVNPILLKFLEKALEDNPNGNGYFVGQDATMVEFVY...  \n",
              "4  DRWQAVVQREAAQDGLFLYAVRTTGIYCRPSCPSRRPRRENVTFFE...  "
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              "      <th>0</th>\n",
              "      <td>zf-Tim10_DDP</td>\n",
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              "      <td>PF02953.15</td>\n",
              "      <td>..RMEKKQMKDFMNMYSNLVQRCFNDCV...........TD.F......</td>\n",
              "      <td>RMEKKQMKDFMNMYSNLVQRCFNDCVTDFTSKSLQSKEEGCVMRCV...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>DNA_primase_S</td>\n",
              "      <td>A8XA78_CAEBR/105-345</td>\n",
              "      <td>PF01896.19</td>\n",
              "      <td>FDID..LTDYDNIRNCCKEATVCPKCWKFMVLAVKILDFLLDDMFG...</td>\n",
              "      <td>FDIDLTDYDNIRNCCKEATVCPKCWKFMVLAVKILDFLLDDMFGFN...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Col_cuticle_N</td>\n",
              "      <td>A8XBM5_CAEBR/9-56</td>\n",
              "      <td>PF01484.17</td>\n",
              "      <td>ASAAILSGATIVGCLFFAAQIFNEVNSLYDDVMVDMDAFKVKSNIA...</td>\n",
              "      <td>ASAAILSGATIVGCLFFAAQIFNEVNSLYDDVMVDMDAFKVKSNIAWD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>GST_C_3</td>\n",
              "      <td>W4XBU3_STRPU/120-207</td>\n",
              "      <td>PF14497.6</td>\n",
              "      <td>KD.................................KLKESLPKTVN...</td>\n",
              "      <td>KDKLKESLPKTVNPILLKFLEKALEDNPNGNGYFVGQDATMVEFVY...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ada_Zn_binding</td>\n",
              "      <td>E8U5K2_DEIML/9-73</td>\n",
              "      <td>PF02805.16</td>\n",
              "      <td>DRWQAVVQRE...AAQ.DG...LFLYAVRTTGIYCRPSCPSRRPR....</td>\n",
              "      <td>DRWQAVVQREAAQDGLFLYAVRTTGIYCRPSCPSRRPRRENVTFFE...</td>\n",
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              "\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
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          },
          "metadata": {},
          "execution_count": 61
        }
      ],
      "source": [
        "dataset_dev = read_data(\"dev\")\n",
        "dataset_dev.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "id": "7yIkn_pqBbdo"
      },
      "outputs": [],
      "source": [
        "dataset_train = pd.concat([dataset_train, dataset_test])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "id": "CoAyKr0iBiAg",
        "outputId": "55bfa1cd-d09a-43ac-f1cc-5434992c9688"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      family_id            sequence_name family_accession  \\\n",
              "0         IMPDH       Q0P9J4_CAMJE/7-469       PF00478.25   \n",
              "1  SpoIIAA-like  A0A1N0ZRF1_9MYCO/12-121        PF11964.8   \n",
              "2      ALS_ss_C      C9RN45_FIBSS/87-160        PF10369.9   \n",
              "3       DUF3767      T0KI99_COLGC/87-187        PF12597.8   \n",
              "4  Oxygenase-NA      D3EL69_GEOS4/65-236        PF09859.9   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  ALTFEDVLLRPGYS..EVLPK.EVKIHTKLT....K.N......IT...   \n",
              "1  VVGFRVS...GR......LTGNELRE.FTSTI..........KEAL...   \n",
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              "4  GEYKYYQAPLP..ETLQQLREGLYPELALTANRWLNRLGHEEKYPA...   \n",
              "\n",
              "                                            sequence  \n",
              "0  ALTFEDVLLRPGYSEVLPKEVKIHTKLTKNITLNMPLISAAMDTVT...  \n",
              "1  VVGFRVSGRLTGNELREFTSTIKEALNGDELRIVEVIASDYEGFGP...  \n",
              "2  KELALIKVRCTAEQRTEILQLCDHFHANTVDMTMTSMIIQITGNSQ...  \n",
              "3  PTTAWEVVKNIKSEDFTTFAQAPCARDGLLTGIAAGFVVGGLRLVF...  \n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ALS_ss_C</td>\n",
              "      <td>C9RN45_FIBSS/87-160</td>\n",
              "      <td>PF10369.9</td>\n",
              "      <td>KELALIKVRCTA......E.QRTE.ILQLC..DHF....HANTVDM...</td>\n",
              "      <td>KELALIKVRCTAEQRTEILQLCDHFHANTVDMTMTSMIIQITGNSQ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>DUF3767</td>\n",
              "      <td>T0KI99_COLGC/87-187</td>\n",
              "      <td>PF12597.8</td>\n",
              "      <td>PTTAWEVVKNIK.SEDFT..TFAQAPCARDGLLTGIAAGFVVGGLR...</td>\n",
              "      <td>PTTAWEVVKNIKSEDFTTFAQAPCARDGLLTGIAAGFVVGGLRLVF...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Oxygenase-NA</td>\n",
              "      <td>D3EL69_GEOS4/65-236</td>\n",
              "      <td>PF09859.9</td>\n",
              "      <td>GEYKYYQAPLP..ETLQQLREGLYPELALTANRWLNRLGHEEKYPA...</td>\n",
              "      <td>GEYKYYQAPLPETLQQLREGLYPELALTANRWLNRLGHEEKYPASL...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-762cf866-75fb-4d34-8ebb-2d3098a93369')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-762cf866-75fb-4d34-8ebb-2d3098a93369 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-762cf866-75fb-4d34-8ebb-2d3098a93369');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ],
      "source": [
        "dataset_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yvYzsp0x8WHw",
        "outputId": "86058f69-0029-4075-fc05-fdf0cfea927a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PF13649.6     4091\n",
              "PF00560.33    2167\n",
              "PF13508.7     1980\n",
              "PF06580.13    1729\n",
              "PF02397.16    1718\n",
              "              ... \n",
              "PF17055.5        1\n",
              "PF09096.10       1\n",
              "PF06503.11       1\n",
              "PF13198.6        1\n",
              "PF13321.6        1\n",
              "Name: family_accession, Length: 17929, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ],
      "source": [
        "dataset_train['family_accession'].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Select until 600 family"
      ],
      "metadata": {
        "id": "nMTGOM86fwhg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "classes = dataset_train['family_accession'].value_counts()[:protein_family_number].index"
      ],
      "metadata": {
        "id": "57Exr7F7nZFn"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def return_from_dataset(dataset, classes):\n",
        "  return [dataset.loc[dataset['family_accession'].isin(classes)].reset_index(), classes]"
      ],
      "metadata": {
        "id": "NMRK7Vn2jC1W"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "[dataset_train, classes] = return_from_dataset(dataset_train, classes) "
      ],
      "metadata": {
        "id": "WoGgkSF2jTRY"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset_train.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "id": "fKDNLY8elWn2",
        "outputId": "2b99bda9-62c5-4597-a0e5-f4c342f74bd0"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   index family_id           sequence_name family_accession  \\\n",
              "0      0     IMPDH      Q0P9J4_CAMJE/7-469       PF00478.25   \n",
              "1      2  ALS_ss_C     C9RN45_FIBSS/87-160        PF10369.9   \n",
              "2      6      SpaA  N4WNB1_9BACI/1350-1420        PF17802.1   \n",
              "3      7      MoaC     Q6AAG5_CUTAK/17-150       PF01967.21   \n",
              "4      9   GlutR_N      D0J057_COMT2/6-161       PF05201.15   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  ALTFEDVLLRPGYS..EVLPK.EVKIHTKLT....K.N......IT...   \n",
              "1  KELALIKVRCTA......E.QRTE.ILQLC..DHF....HANTVDM...   \n",
              "2  INGD..VL..EGATFTLT...YQ..........................   \n",
              "3  MVDVTTK.TPTVRVATAECCVVCS.EP..........IMTAL.......   \n",
              "4  LGINHHTAP...........LDMRGRFAF....A.LDQ.IAPTLQG...   \n",
              "\n",
              "                                            sequence  \n",
              "0  ALTFEDVLLRPGYSEVLPKEVKIHTKLTKNITLNMPLISAAMDTVT...  \n",
              "1  KELALIKVRCTAEQRTEILQLCDHFHANTVDMTMTSMIIQITGNSQ...  \n",
              "2  INGDVLEGATFTLTYQDGNYSSEVLEGTTDSSGKVTFTNLKPGTYS...  \n",
              "3  MVDVTTKTPTVRVATAECCVVCSEPIMTALRDESVPKGDVLAVARI...  \n",
              "4  LGINHHTAPLDMRGRFAFALDQIAPTLQGLRASLSHAGRAHSAVET...  "
            ],
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>family_id</th>\n",
              "      <th>sequence_name</th>\n",
              "      <th>family_accession</th>\n",
              "      <th>aligned_sequence</th>\n",
              "      <th>sequence</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>IMPDH</td>\n",
              "      <td>Q0P9J4_CAMJE/7-469</td>\n",
              "      <td>PF00478.25</td>\n",
              "      <td>ALTFEDVLLRPGYS..EVLPK.EVKIHTKLT....K.N......IT...</td>\n",
              "      <td>ALTFEDVLLRPGYSEVLPKEVKIHTKLTKNITLNMPLISAAMDTVT...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>ALS_ss_C</td>\n",
              "      <td>C9RN45_FIBSS/87-160</td>\n",
              "      <td>PF10369.9</td>\n",
              "      <td>KELALIKVRCTA......E.QRTE.ILQLC..DHF....HANTVDM...</td>\n",
              "      <td>KELALIKVRCTAEQRTEILQLCDHFHANTVDMTMTSMIIQITGNSQ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>SpaA</td>\n",
              "      <td>N4WNB1_9BACI/1350-1420</td>\n",
              "      <td>PF17802.1</td>\n",
              "      <td>INGD..VL..EGATFTLT...YQ..........................</td>\n",
              "      <td>INGDVLEGATFTLTYQDGNYSSEVLEGTTDSSGKVTFTNLKPGTYS...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7</td>\n",
              "      <td>MoaC</td>\n",
              "      <td>Q6AAG5_CUTAK/17-150</td>\n",
              "      <td>PF01967.21</td>\n",
              "      <td>MVDVTTK.TPTVRVATAECCVVCS.EP..........IMTAL.......</td>\n",
              "      <td>MVDVTTKTPTVRVATAECCVVCSEPIMTALRDESVPKGDVLAVARI...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9</td>\n",
              "      <td>GlutR_N</td>\n",
              "      <td>D0J057_COMT2/6-161</td>\n",
              "      <td>PF05201.15</td>\n",
              "      <td>LGINHHTAP...........LDMRGRFAF....A.LDQ.IAPTLQG...</td>\n",
              "      <td>LGINHHTAPLDMRGRFAFALDQIAPTLQGLRASLSHAGRAHSAVET...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  </svg>\n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9a5d43eb-660b-4a73-9d57-5e34ac67bc13');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  "
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          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8DyKrLBM3tkR",
        "outputId": "2a3fc12f-9dbc-491f-ccb5-bfb7b0660399"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['PF13649.6', 'PF00560.33', 'PF13508.7', 'PF06580.13', 'PF02397.16',\n",
              "       'PF00677.17', 'PF01035.20', 'PF02417.15', 'PF13472.6', 'PF00684.19',\n",
              "       ...\n",
              "       'PF00681.20', 'PF00813.20', 'PF02570.15', 'PF01176.19', 'PF00447.17',\n",
              "       'PF00338.22', 'PF12392.8', 'PF07963.12', 'PF01944.17', 'PF00858.24'],\n",
              "      dtype='object', length=600)"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ],
      "source": [
        "classes"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "[dataset_dev, classes_dev] = return_from_dataset(dataset_dev, classes) "
      ],
      "metadata": {
        "id": "K-n-c3SNjlJt"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "102d4qRhAtcM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "outputId": "8c7f594f-625e-401b-b8a7-3e6566e4f885"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   index        family_id         sequence_name family_accession  \\\n",
              "0      0     zf-Tim10_DDP    N1QB11_PSEFD/15-76       PF02953.15   \n",
              "1      8     HSF_DNA-bind  I2GV49_TETBL/163-265       PF00447.17   \n",
              "2      9         MacB_PCD  A6X4W0_OCHA4/276-497        PF12704.7   \n",
              "3     10  CDP-OH_P_transf    F4CUG5_PSEUX/16-81       PF01066.21   \n",
              "4     12            DUF72   E8WY12_GRATM/44-259       PF01904.18   \n",
              "\n",
              "                                    aligned_sequence  \\\n",
              "0  ..RMEKKQMKDFMNMYSNLVQRCFNDCV...........TD.F......   \n",
              "1  FVNKLWNM...L.....N..........DP...................   \n",
              "2  TFL.TMLGIIIG..TASVVCVV.ALGQGSQRQILER..IS.....D...   \n",
              "3  TVPNALSV..LRLL...G....V.PL.......................   \n",
              "4  YPAKTSA.KN.FLGFYASQ..LNSVEVNFTF........RK.LPTE...   \n",
              "\n",
              "                                            sequence  \n",
              "0  RMEKKQMKDFMNMYSNLVQRCFNDCVTDFTSKSLQSKEEGCVMRCV...  \n",
              "1  FVNKLWNMLNDPINQDMIRWSDDGKSFLVVNREKFVHHVLPNYFKH...  \n",
              "2  TFLTMLGIIIGTASVVCVVALGQGSQRQILERISDLGTNTLYISPG...  \n",
              "3  TVPNALSVLRLLGVPLFLYLLLGPHADGWAILVLAVGGVTDWLDGK...  \n",
              "4  YPAKTSAKNFLGFYASQLNSVEVNFTFRKLPTEAQLNGWLAQTGEG...  "
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>family_id</th>\n",
              "      <th>sequence_name</th>\n",
              "      <th>family_accession</th>\n",
              "      <th>aligned_sequence</th>\n",
              "      <th>sequence</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>zf-Tim10_DDP</td>\n",
              "      <td>N1QB11_PSEFD/15-76</td>\n",
              "      <td>PF02953.15</td>\n",
              "      <td>..RMEKKQMKDFMNMYSNLVQRCFNDCV...........TD.F......</td>\n",
              "      <td>RMEKKQMKDFMNMYSNLVQRCFNDCVTDFTSKSLQSKEEGCVMRCV...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8</td>\n",
              "      <td>HSF_DNA-bind</td>\n",
              "      <td>I2GV49_TETBL/163-265</td>\n",
              "      <td>PF00447.17</td>\n",
              "      <td>FVNKLWNM...L.....N..........DP...................</td>\n",
              "      <td>FVNKLWNMLNDPINQDMIRWSDDGKSFLVVNREKFVHHVLPNYFKH...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9</td>\n",
              "      <td>MacB_PCD</td>\n",
              "      <td>A6X4W0_OCHA4/276-497</td>\n",
              "      <td>PF12704.7</td>\n",
              "      <td>TFL.TMLGIIIG..TASVVCVV.ALGQGSQRQILER..IS.....D...</td>\n",
              "      <td>TFLTMLGIIIGTASVVCVVALGQGSQRQILERISDLGTNTLYISPG...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>CDP-OH_P_transf</td>\n",
              "      <td>F4CUG5_PSEUX/16-81</td>\n",
              "      <td>PF01066.21</td>\n",
              "      <td>TVPNALSV..LRLL...G....V.PL.......................</td>\n",
              "      <td>TVPNALSVLRLLGVPLFLYLLLGPHADGWAILVLAVGGVTDWLDGK...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12</td>\n",
              "      <td>DUF72</td>\n",
              "      <td>E8WY12_GRATM/44-259</td>\n",
              "      <td>PF01904.18</td>\n",
              "      <td>YPAKTSA.KN.FLGFYASQ..LNSVEVNFTF........RK.LPTE...</td>\n",
              "      <td>YPAKTSAKNFLGFYASQLNSVEVNFTFRKLPTEAQLNGWLAQTGEG...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "    .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5352c440-0799-40f3-b2ec-18e90f928f6f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ],
      "source": [
        "dataset_dev.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def features_target_split(dataset):\n",
        "  return [dataset['sequence'], dataset['family_accession']]"
      ],
      "metadata": {
        "id": "6Pwb9YUkjpbm"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "id": "vsHCH1ZPB2Y9"
      },
      "outputs": [],
      "source": [
        "[features, target] = features_target_split(dataset_train)\n",
        "[features_dev, target_dev] = features_target_split(dataset_dev)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XFCFt9reCEW-",
        "outputId": "5a4ad6f1-b927-4b5d-b455-7cea19b01c92"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "600"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ],
      "source": [
        "len(classes)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Preprocessing dataset"
      ],
      "metadata": {
        "id": "ATBUUcxkf4Wv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def cut_protein_sequence(sequence):\n",
        "  return sequence.apply(lambda seq: [seq[i:i+ 1] for i in range(0, len(seq), 1)])"
      ],
      "metadata": {
        "id": "yM1wrt3ElwdF"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "id": "lqjJjMxfCRx7"
      },
      "outputs": [],
      "source": [
        "features = cut_protein_sequence(features)\n",
        "features_dev = cut_protein_sequence(features_dev)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TOugOjBwCWjz",
        "outputId": "1a76b5d8-ee75-4eea-b70a-d56aa4148559"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         [A, L, T, F, E, D, V, L, L, R, P, G, Y, S, E, ...\n",
              "1         [K, E, L, A, L, I, K, V, R, C, T, A, E, Q, R, ...\n",
              "2         [I, N, G, D, V, L, E, G, A, T, F, T, L, T, Y, ...\n",
              "3         [M, V, D, V, T, T, K, T, P, T, V, R, V, A, T, ...\n",
              "4         [L, G, I, N, H, H, T, A, P, L, D, M, R, G, R, ...\n",
              "                                ...                        \n",
              "370647    [V, A, V, L, G, L, T, A, L, G, V, W, Q, V, Q, ...\n",
              "370648    [K, I, N, I, S, S, K, I, P, I, S, C, G, L, G, ...\n",
              "370649    [F, I, V, C, S, L, I, T, G, L, S, D, G, S, A, ...\n",
              "370650    [I, S, T, S, Q, L, N, N, W, L, N, M, T, Q, E, ...\n",
              "370651    [D, T, P, D, L, V, M, A, E, R, N, K, S, L, Y, ...\n",
              "Name: sequence, Length: 370652, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ],
      "source": [
        "features"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "features_dev"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8WTBESc0mUR0",
        "outputId": "92edfdd0-477c-45b7-8065-fb9d9fed277a"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        [R, M, E, K, K, Q, M, K, D, F, M, N, M, Y, S, ...\n",
              "1        [F, V, N, K, L, W, N, M, L, N, D, P, I, N, Q, ...\n",
              "2        [T, F, L, T, M, L, G, I, I, I, G, T, A, S, V, ...\n",
              "3        [T, V, P, N, A, L, S, V, L, R, L, L, G, V, P, ...\n",
              "4        [Y, P, A, K, T, S, A, K, N, F, L, G, F, Y, A, ...\n",
              "                               ...                        \n",
              "40879    [L, V, E, A, D, G, I, M, D, M, I, S, A, K, N, ...\n",
              "40880    [L, S, T, P, E, L, T, R, L, L, E, A, A, V, M, ...\n",
              "40881    [K, Y, E, I, M, M, I, L, K, P, D, L, E, D, D, ...\n",
              "40882    [T, P, L, A, D, V, M, T, E, V, A, A, T, A, R, ...\n",
              "40883    [L, Q, E, L, H, M, L, V, V, L, A, E, E, L, N, ...\n",
              "Name: sequence, Length: 40884, dtype: object"
            ]
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          "metadata": {},
          "execution_count": 78
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    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NE-tAG6UCrAm",
        "outputId": "4c7dd81b-bac0-4487-d891-4bb0044c835b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LabelEncoder()"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ],
      "source": [
        "label_ = preprocessing.LabelEncoder()\n",
        "label_.fit(target)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Xw8FrOXrCwsb",
        "outputId": "ca709806-6c96-4312-c0e5-28bdd5ba6915"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "array(['PF00003.22', 'PF00006.25', 'PF00013.29', 'PF00020.18',\n",
              "       'PF00023.30', 'PF00036.32', 'PF00037.27', 'PF00080.20',\n",
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              "       'PF00298.19', 'PF00303.19', 'PF00312.22', 'PF00318.20',\n",
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              "       'PF00755.20', 'PF00759.19', 'PF00763.23', 'PF00766.19',\n",
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              "       'PF00829.21', 'PF00830.19', 'PF00831.23', 'PF00842.21',\n",
              "       'PF00858.24', 'PF00880.18', 'PF00883.21', 'PF00885.19',\n",
              "       'PF00886.19', 'PF00887.19', 'PF00902.18', 'PF00908.17',\n",
              "       'PF00920.21', 'PF00925.20', 'PF00926.19', 'PF00936.19',\n",
              "       'PF00984.19', 'PF00988.22', 'PF00995.23', 'PF01016.19',\n",
              "       'PF01018.22', 'PF01035.20', 'PF01040.18', 'PF01043.20',\n",
              "       'PF01052.20', 'PF01055.26', 'PF01066.21', 'PF01084.20',\n",
              "       'PF01106.17', 'PF01116.20', 'PF01132.20', 'PF01149.24',\n",
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              "       'PF01192.22', 'PF01193.24', 'PF01195.19', 'PF01196.19',\n",
              "       'PF01197.18', 'PF01205.19', 'PF01219.19', 'PF01220.19',\n",
              "       'PF01226.17', 'PF01239.22', 'PF01245.20', 'PF01250.17',\n",
              "       'PF01252.18', 'PF01255.19', 'PF01259.18', 'PF01264.21',\n",
              "       'PF01266.24', 'PF01268.19', 'PF01281.19', 'PF01288.20',\n",
              "       'PF01297.17', 'PF01302.25', 'PF01311.20', 'PF01312.19',\n",
              "       'PF01313.19', 'PF01329.19', 'PF01330.21', 'PF01336.25',\n",
              "       'PF01339.17', 'PF01352.27', 'PF01367.20', 'PF01368.20',\n",
              "       'PF01369.20', 'PF01379.20', 'PF01384.20', 'PF01386.19',\n",
              "       'PF01388.21', 'PF01424.22', 'PF01428.16', 'PF01430.19',\n",
              "       'PF01455.18', 'PF01458.17', 'PF01502.18', 'PF01510.25',\n",
              "       'PF01523.16', 'PF01535.20', 'PF01556.18', 'PF01590.26',\n",
              "       'PF01618.16', 'PF01625.21', 'PF01628.21', 'PF01632.19',\n",
              "       'PF01634.18', 'PF01641.18', 'PF01649.18', 'PF01654.17',\n",
              "       'PF01657.17', 'PF01668.18', 'PF01687.17', 'PF01702.18',\n",
              "       'PF01709.20', 'PF01713.21', 'PF01715.17', 'PF01725.16',\n",
              "       'PF01741.18', 'PF01765.19', 'PF01769.16', 'PF01773.20',\n",
              "       'PF01790.18', 'PF01799.20', 'PF01808.18', 'PF01809.18',\n",
              "       'PF01817.21', 'PF01820.21', 'PF01832.20', 'PF01890.16',\n",
              "       'PF01894.17', 'PF01904.18', 'PF01923.18', 'PF01925.19',\n",
              "       'PF01926.23', 'PF01944.17', 'PF01957.18', 'PF01960.18',\n",
              "       'PF01967.21', 'PF01970.16', 'PF01975.17', 'PF01977.16',\n",
              "       'PF01980.16', 'PF01985.21', 'PF01987.17', 'PF01988.19',\n",
              "       'PF02021.17', 'PF02033.18', 'PF02092.17', 'PF02096.20',\n",
              "       'PF02104.15', 'PF02132.15', 'PF02152.18', 'PF02277.17',\n",
              "       'PF02308.16', 'PF02322.15', 'PF02325.17', 'PF02365.15',\n",
              "       'PF02367.17', 'PF02383.18', 'PF02391.17', 'PF02397.16',\n",
              "       'PF02401.18', 'PF02405.16', 'PF02410.15', 'PF02415.17',\n",
              "       'PF02417.15', 'PF02424.15', 'PF02436.18', 'PF02445.16',\n",
              "       'PF02446.17', 'PF02457.16', 'PF02465.18', 'PF02466.19',\n",
              "       'PF02482.19', 'PF02502.18', 'PF02503.17', 'PF02508.14',\n",
              "       'PF02517.16', 'PF02518.26', 'PF02537.15', 'PF02542.16',\n",
              "       'PF02545.14', 'PF02547.15', 'PF02548.15', 'PF02559.16',\n",
              "       'PF02561.14', 'PF02563.16', 'PF02569.15', 'PF02570.15',\n",
              "       'PF02572.15', 'PF02574.16', 'PF02575.16', 'PF02578.15',\n",
              "       'PF02580.16', 'PF02583.17', 'PF02586.14', 'PF02590.17',\n",
              "       'PF02601.15', 'PF02607.17', 'PF02609.16', 'PF02618.16',\n",
              "       'PF02622.15', 'PF02625.16', 'PF02626.15', 'PF02632.14',\n",
              "       'PF02633.14', 'PF02654.15', 'PF02660.15', 'PF02673.18',\n",
              "       'PF02686.15', 'PF02690.15', 'PF02698.17', 'PF02699.15',\n",
              "       'PF02729.21', 'PF02730.15', 'PF02738.18', 'PF02739.16',\n",
              "       'PF02742.15', 'PF02771.16', 'PF02772.16', 'PF02777.18',\n",
              "       'PF02781.16', 'PF02787.19', 'PF02811.19', 'PF02817.17',\n",
              "       'PF02833.14', 'PF02843.16', 'PF02844.15', 'PF02863.18',\n",
              "       'PF02873.16', 'PF02880.16', 'PF02881.19', 'PF02885.17',\n",
              "       'PF02887.16', 'PF02910.20', 'PF02912.18', 'PF02929.17',\n",
              "       'PF02934.15', 'PF02953.15', 'PF02978.19', 'PF02985.22',\n",
              "       'PF03028.15', 'PF03055.15', 'PF03073.15', 'PF03091.15',\n",
              "       'PF03116.15', 'PF03119.16', 'PF03120.16', 'PF03150.14',\n",
              "       'PF03186.13', 'PF03313.15', 'PF03323.13', 'PF03334.14',\n",
              "       'PF03352.13', 'PF03441.14', 'PF03443.14', 'PF03449.15',\n",
              "       'PF03453.17', 'PF03457.14', 'PF03458.13', 'PF03461.15',\n",
              "       'PF03462.18', 'PF03481.13', 'PF03484.15', 'PF03489.17',\n",
              "       'PF03588.14', 'PF03591.14', 'PF03595.17', 'PF03600.16',\n",
              "       'PF03705.15', 'PF03719.15', 'PF03727.16', 'PF03733.13',\n",
              "       'PF03746.16', 'PF03747.14', 'PF03748.14', 'PF03755.13',\n",
              "       'PF03788.14', 'PF03796.15', 'PF03797.19', 'PF03808.13',\n",
              "       'PF03840.14', 'PF03861.14', 'PF03862.13', 'PF03880.15',\n",
              "       'PF03928.14', 'PF03929.16', 'PF03938.14', 'PF03947.18',\n",
              "       'PF03948.14', 'PF03952.16', 'PF03993.12', 'PF04002.15',\n",
              "       'PF04003.12', 'PF04015.12', 'PF04020.13', 'PF04024.12',\n",
              "       'PF04039.13', 'PF04043.15', 'PF04055.21', 'PF04085.14',\n",
              "       'PF04117.12', 'PF04122.12', 'PF04127.15', 'PF04145.15',\n",
              "       'PF04149.12', 'PF04166.12', 'PF04172.16', 'PF04199.13',\n",
              "       'PF04205.14', 'PF04237.13', 'PF04248.12', 'PF04264.13',\n",
              "       'PF04294.13', 'PF04296.13', 'PF04371.15', 'PF04390.12',\n",
              "       'PF04402.14', 'PF04408.23', 'PF04427.18', 'PF04463.12',\n",
              "       'PF04468.12', 'PF04519.13', 'PF04536.14', 'PF04551.14',\n",
              "       'PF04613.14', 'PF04675.14', 'PF04898.14', 'PF04963.13',\n",
              "       'PF05164.13', 'PF05173.14', 'PF05184.15', 'PF05191.14',\n",
              "       'PF05192.18', 'PF05195.16', 'PF05198.16', 'PF05201.15',\n",
              "       'PF05226.11', 'PF05257.16', 'PF05383.17', 'PF05402.12',\n",
              "       'PF05485.12', 'PF05524.13', 'PF05649.13', 'PF05658.14',\n",
              "       'PF05681.14', 'PF05697.13', 'PF05792.13', 'PF06022.11',\n",
              "       'PF06026.14', 'PF06071.13', 'PF06415.13', 'PF06418.14',\n",
              "       'PF06422.12', 'PF06429.13', 'PF06441.12', 'PF06541.11',\n",
              "       'PF06580.13', 'PF06628.12', 'PF06686.11', 'PF06724.11',\n",
              "       'PF06750.13', 'PF06912.11', 'PF06968.13', 'PF07331.11',\n",
              "       'PF07479.14', 'PF07486.12', 'PF07494.11', 'PF07503.12',\n",
              "       'PF07516.13', 'PF07525.16', 'PF07538.11', 'PF07549.14',\n",
              "       'PF07562.14', 'PF07664.12', 'PF07703.14', 'PF07715.15',\n",
              "       'PF07873.11', 'PF07927.12', 'PF07963.12', 'PF07971.12',\n",
              "       'PF08299.11', 'PF08338.11', 'PF08340.11', 'PF08345.11',\n",
              "       'PF08379.10', 'PF08393.13', 'PF08436.12', 'PF08439.10',\n",
              "       'PF08459.11', 'PF08486.10', 'PF08529.11', 'PF08711.11',\n",
              "       'PF08742.11', 'PF08818.11', 'PF09180.11', 'PF09269.11',\n",
              "       'PF09285.11', 'PF09369.10', 'PF09371.10', 'PF09383.10',\n",
              "       'PF09397.10', 'PF09723.10', 'PF09851.9', 'PF10035.9', 'PF10150.9',\n",
              "       'PF10369.9', 'PF10385.9', 'PF10396.9', 'PF10397.9', 'PF10410.9',\n",
              "       'PF10415.9', 'PF10431.9', 'PF10509.9', 'PF10518.9', 'PF10576.9',\n",
              "       'PF10588.9', 'PF10589.9', 'PF10590.9', 'PF10646.9', 'PF10996.8',\n",
              "       'PF11799.8', 'PF11838.8', 'PF11929.8', 'PF11987.8', 'PF12002.8',\n",
              "       'PF12344.8', 'PF12392.8', 'PF12399.8', 'PF12464.8', 'PF12631.7',\n",
              "       'PF12662.7', 'PF12673.7', 'PF12697.7', 'PF12704.7', 'PF12775.7',\n",
              "       'PF12781.7', 'PF12806.7', 'PF12911.7', 'PF12951.7', 'PF13089.6',\n",
              "       'PF13167.6', 'PF13280.6', 'PF13288.6', 'PF13305.6', 'PF13335.6',\n",
              "       'PF13340.6', 'PF13356.6', 'PF13396.6', 'PF13399.6', 'PF13405.6',\n",
              "       'PF13428.6', 'PF13439.6', 'PF13445.6', 'PF13472.6', 'PF13475.6',\n",
              "       'PF13478.6', 'PF13490.6', 'PF13493.6', 'PF13508.7', 'PF13517.6',\n",
              "       'PF13545.6', 'PF13570.6', 'PF13649.6', 'PF13676.6', 'PF13692.6',\n",
              "       'PF13720.6', 'PF13742.6', 'PF13927.6', 'PF13932.6', 'PF13959.6',\n",
              "       'PF13976.6', 'PF14310.6', 'PF14450.6', 'PF14490.6', 'PF14693.6',\n",
              "       'PF14698.6', 'PF14714.6', 'PF14748.6', 'PF14815.6', 'PF16123.5',\n",
              "       'PF16124.5', 'PF16177.5', 'PF16188.5', 'PF16189.5', 'PF16192.5',\n",
              "       'PF16193.5', 'PF16199.5', 'PF16212.5', 'PF16320.5', 'PF16326.5',\n",
              "       'PF16344.5', 'PF16353.5', 'PF16360.5', 'PF16886.5', 'PF16916.5',\n",
              "       'PF17136.4', 'PF17755.1', 'PF17757.1', 'PF17764.1', 'PF17768.1',\n",
              "       'PF17802.1', 'PF17803.1', 'PF17827.1', 'PF17853.1', 'PF17862.1',\n",
              "       'PF17876.1', 'PF17910.1', 'PF17921.1', 'PF17963.1', 'PF18052.1',\n",
              "       'PF18074.1', 'PF18075.1', 'PF18076.1', 'PF18198.1', 'PF18199.1',\n",
              "       'PF18766.1'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ],
      "source": [
        "label_.classes_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {
        "id": "QhJCtFXwCuYD"
      },
      "outputs": [],
      "source": [
        "target = label_.transform(target)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "metadata": {
        "id": "SW-K6TioC3EE"
      },
      "outputs": [],
      "source": [
        "target_dev = label_.transform(target_dev)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "metadata": {
        "id": "lJoCFx9oC8Al"
      },
      "outputs": [],
      "source": [
        "target = tf.keras.utils.to_categorical(target)\n",
        "target_dev = tf.keras.utils.to_categorical(target_dev)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 87,
      "metadata": {
        "id": "BiXkR128EcGC"
      },
      "outputs": [],
      "source": [
        "tokenizer_seq=  Tokenizer(num_words = 2000)\n",
        "tokenizer_seq.fit_on_texts(features)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 88,
      "metadata": {
        "id": "si9n98--EfR4"
      },
      "outputs": [],
      "source": [
        "features = tokenizer_seq.texts_to_sequences(features)\n",
        "features_dev = tokenizer_seq.texts_to_sequences(features_dev)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 91,
      "metadata": {
        "id": "mC6hylATE1_C",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "06b954b3-d85e-418c-8833-052f40ea8256"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(370652, 200)"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ],
      "source": [
        "features = pad_sequences(features, maxlen = 200, padding = \"post\", truncating = \"post\")\n",
        "features.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "metadata": {
        "id": "qs4PvM-HCOkM"
      },
      "outputs": [],
      "source": [
        "features_dev = pad_sequences(features_dev, maxlen = features.shape[1], padding = \"post\", truncating = \"post\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "features_dev.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8AknVqpugPvo",
        "outputId": "8c7ce1ff-6d5e-4d0a-820c-be143b3a661a"
      },
      "execution_count": 242,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(40884, 200)"
            ]
          },
          "metadata": {},
          "execution_count": 242
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 93,
      "metadata": {
        "id": "Zgf76KFkCdfu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "19f3f292-3ba9-4b7d-fd91-8c8dbf3b9fa6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'l': 1, 'a': 2, 'g': 3, 'v': 4, 'i': 5, 'e': 6, 's': 7, 'r': 8, 'd': 9, 't': 10, 'k': 11, 'p': 12, 'f': 13, 'n': 14, 'q': 15, 'y': 16, 'm': 17, 'h': 18, 'c': 19, 'w': 20, 'x': 21, 'u': 22, 'b': 23}\n"
          ]
        }
      ],
      "source": [
        "print(tokenizer_seq.word_index)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 94,
      "metadata": {
        "id": "Qte2teWFFSeC"
      },
      "outputs": [],
      "source": [
        "vocabulary = len(tokenizer_seq.word_index)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#CNN Model"
      ],
      "metadata": {
        "id": "lrRIdbZbf9u_"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 101,
      "metadata": {
        "id": "ybijaKpZxPuF"
      },
      "outputs": [],
      "source": [
        "def resnet_con(inputs, filters, activation = \"relu\", strides = 1):\n",
        "  x = tf.keras.layers.BatchNormalization()(inputs)\n",
        "  x = tf.keras.layers.Conv1D(filters, 3, strides = strides, activation = activation, padding = \"same\",\n",
        "                             kernel_regularizer=tf.keras.regularizers.L2(0.01))(x)\n",
        "  x = tf.keras.layers.Activation(\"relu\")(x)\n",
        "  return x"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 102,
      "metadata": {
        "id": "TrrKCj--xVXp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a32f2873-dd12-4889-da53-04a9c90a68c9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"model\"\n",
            "__________________________________________________________________________________________________\n",
            " Layer (type)                   Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            " input_3 (InputLayer)           [(None, 200)]        0           []                               \n",
            "                                                                                                  \n",
            " embedding_2 (Embedding)        (None, 200, 150)     3600        ['input_3[0][0]']                \n",
            "                                                                                                  \n",
            " average_pooling1d_2 (AveragePo  (None, 100, 150)    0           ['embedding_2[0][0]']            \n",
            " oling1D)                                                                                         \n",
            "                                                                                                  \n",
            " max_pooling1d_1 (MaxPooling1D)  (None, 100, 150)    0           ['embedding_2[0][0]']            \n",
            "                                                                                                  \n",
            " concatenate_1 (Concatenate)    (None, 100, 300)     0           ['average_pooling1d_2[0][0]',    \n",
            "                                                                  'max_pooling1d_1[0][0]']        \n",
            "                                                                                                  \n",
            " dropout_1 (Dropout)            (None, 100, 300)     0           ['concatenate_1[0][0]']          \n",
            "                                                                                                  \n",
            " batch_normalization_1 (BatchNo  (None, 100, 300)    1200        ['dropout_1[0][0]']              \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_1 (Conv1D)              (None, 100, 64)      57664       ['batch_normalization_1[0][0]']  \n",
            "                                                                                                  \n",
            " activation (Activation)        (None, 100, 64)      0           ['conv1d_1[0][0]']               \n",
            "                                                                                                  \n",
            " batch_normalization_2 (BatchNo  (None, 100, 64)     256         ['activation[0][0]']             \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_2 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_2[0][0]']  \n",
            "                                                                                                  \n",
            " activation_1 (Activation)      (None, 100, 64)      0           ['conv1d_2[0][0]']               \n",
            "                                                                                                  \n",
            " batch_normalization_3 (BatchNo  (None, 100, 64)     256         ['activation_1[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_3 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_3[0][0]']  \n",
            "                                                                                                  \n",
            " add (Add)                      (None, 100, 64)      0           ['activation[0][0]',             \n",
            "                                                                  'conv1d_3[0][0]']               \n",
            "                                                                                                  \n",
            " activation_2 (Activation)      (None, 100, 64)      0           ['add[0][0]']                    \n",
            "                                                                                                  \n",
            " batch_normalization_4 (BatchNo  (None, 100, 64)     256         ['activation_2[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_4 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_4[0][0]']  \n",
            "                                                                                                  \n",
            " activation_3 (Activation)      (None, 100, 64)      0           ['conv1d_4[0][0]']               \n",
            "                                                                                                  \n",
            " batch_normalization_5 (BatchNo  (None, 100, 64)     256         ['activation_3[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_5 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_5[0][0]']  \n",
            "                                                                                                  \n",
            " add_1 (Add)                    (None, 100, 64)      0           ['activation_2[0][0]',           \n",
            "                                                                  'conv1d_5[0][0]']               \n",
            "                                                                                                  \n",
            " activation_4 (Activation)      (None, 100, 64)      0           ['add_1[0][0]']                  \n",
            "                                                                                                  \n",
            " batch_normalization_6 (BatchNo  (None, 100, 64)     256         ['activation_4[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_6 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_6[0][0]']  \n",
            "                                                                                                  \n",
            " activation_5 (Activation)      (None, 100, 64)      0           ['conv1d_6[0][0]']               \n",
            "                                                                                                  \n",
            " batch_normalization_7 (BatchNo  (None, 100, 64)     256         ['activation_5[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_7 (Conv1D)              (None, 100, 64)      12352       ['batch_normalization_7[0][0]']  \n",
            "                                                                                                  \n",
            " add_2 (Add)                    (None, 100, 64)      0           ['activation_4[0][0]',           \n",
            "                                                                  'conv1d_7[0][0]']               \n",
            "                                                                                                  \n",
            " activation_6 (Activation)      (None, 100, 64)      0           ['add_2[0][0]']                  \n",
            "                                                                                                  \n",
            " batch_normalization_8 (BatchNo  (None, 100, 64)     256         ['activation_6[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_8 (Conv1D)              (None, 50, 128)      24704       ['batch_normalization_8[0][0]']  \n",
            "                                                                                                  \n",
            " activation_7 (Activation)      (None, 50, 128)      0           ['conv1d_8[0][0]']               \n",
            "                                                                                                  \n",
            " batch_normalization_9 (BatchNo  (None, 50, 128)     512         ['activation_7[0][0]']           \n",
            " rmalization)                                                                                     \n",
            "                                                                                                  \n",
            " conv1d_10 (Conv1D)             (None, 50, 128)      8320        ['activation_6[0][0]']           \n",
            "                                                                                                  \n",
            " conv1d_9 (Conv1D)              (None, 50, 128)      49280       ['batch_normalization_9[0][0]']  \n",
            "                                                                                                  \n",
            " add_3 (Add)                    (None, 50, 128)      0           ['conv1d_10[0][0]',              \n",
            "                                                                  'conv1d_9[0][0]']               \n",
            "                                                                                                  \n",
            " activation_8 (Activation)      (None, 50, 128)      0           ['add_3[0][0]']                  \n",
            "                                                                                                  \n",
            " batch_normalization_10 (BatchN  (None, 50, 128)     512         ['activation_8[0][0]']           \n",
            " ormalization)                                                                                    \n",
            "                                                                                                  \n",
            " conv1d_11 (Conv1D)             (None, 50, 128)      49280       ['batch_normalization_10[0][0]'] \n",
            "                                                                                                  \n",
            " activation_9 (Activation)      (None, 50, 128)      0           ['conv1d_11[0][0]']              \n",
            "                                                                                                  \n",
            " batch_normalization_11 (BatchN  (None, 50, 128)     512         ['activation_9[0][0]']           \n",
            " ormalization)                                                                                    \n",
            "                                                                                                  \n",
            " conv1d_12 (Conv1D)             (None, 50, 128)      49280       ['batch_normalization_11[0][0]'] \n",
            "                                                                                                  \n",
            " add_4 (Add)                    (None, 50, 128)      0           ['activation_8[0][0]',           \n",
            "                                                                  'conv1d_12[0][0]']              \n",
            "                                                                                                  \n",
            " activation_10 (Activation)     (None, 50, 128)      0           ['add_4[0][0]']                  \n",
            "                                                                                                  \n",
            " batch_normalization_12 (BatchN  (None, 50, 128)     512         ['activation_10[0][0]']          \n",
            " ormalization)                                                                                    \n",
            "                                                                                                  \n",
            " conv1d_13 (Conv1D)             (None, 50, 128)      49280       ['batch_normalization_12[0][0]'] \n",
            "                                                                                                  \n",
            " activation_11 (Activation)     (None, 50, 128)      0           ['conv1d_13[0][0]']              \n",
            "                                                                                                  \n",
            " batch_normalization_13 (BatchN  (None, 50, 128)     512         ['activation_11[0][0]']          \n",
            " ormalization)                                                                                    \n",
            "                                                                                                  \n",
            " conv1d_14 (Conv1D)             (None, 50, 128)      49280       ['batch_normalization_13[0][0]'] \n",
            "                                                                                                  \n",
            " add_5 (Add)                    (None, 50, 128)      0           ['activation_10[0][0]',          \n",
            "                                                                  'conv1d_14[0][0]']              \n",
            "                                                                                                  \n",
            " activation_12 (Activation)     (None, 50, 128)      0           ['add_5[0][0]']                  \n",
            "                                                                                                  \n",
            " flatten (Flatten)              (None, 6400)         0           ['activation_12[0][0]']          \n",
            "                                                                                                  \n",
            " dropout_2 (Dropout)            (None, 6400)         0           ['flatten[0][0]']                \n",
            "                                                                                                  \n",
            " dense (Dense)                  (None, 1024)         6554624     ['dropout_2[0][0]']              \n",
            "                                                                                                  \n",
            " dropout_3 (Dropout)            (None, 1024)         0           ['dense[0][0]']                  \n",
            "                                                                                                  \n",
            " dense_1 (Dense)                (None, 512)          524800      ['dropout_3[0][0]']              \n",
            "                                                                                                  \n",
            " dropout_4 (Dropout)            (None, 512)          0           ['dense_1[0][0]']                \n",
            "                                                                                                  \n",
            " dense_2 (Dense)                (None, 600)          307800      ['dropout_4[0][0]']              \n",
            "                                                                                                  \n",
            "==================================================================================================\n",
            "Total params: 7,807,576\n",
            "Trainable params: 7,804,800\n",
            "Non-trainable params: 2,776\n",
            "__________________________________________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "filters = 64\n",
        "input = tf.keras.layers.Input(shape=(features.shape[1], ))\n",
        "x = tf.keras.layers.Embedding(vocabulary + 1, 150)(input)\n",
        "x1 = tf.keras.layers.AveragePooling1D()(x)\n",
        "x2 = tf.keras.layers.MaxPooling1D()(x)\n",
        "x = tf.keras.layers.concatenate([x1, x2])\n",
        "x = tf.keras.layers.Dropout(0.3)(x)\n",
        "x = resnet_con(x, filters)\n",
        "for stack in range(2):\n",
        "  for block in range(3):\n",
        "    strides = 1\n",
        "    if stack > 0 and block == 0:\n",
        "      strides = 2\n",
        "    y = resnet_con(x, filters, activation = None, strides = strides)\n",
        "    y = tf.keras.layers.BatchNormalization()(y)\n",
        "    y = tf.keras.layers.Conv1D(filters, 3, activation = None, padding = \"same\",\n",
        "                               kernel_regularizer=tf.keras.regularizers.L2(0.01))(y)                       \n",
        "    if stack > 0 and block == 0:\n",
        "      strides = 2\n",
        "      x = tf.keras.layers.Conv1D(filters , 1, activation = None, strides = strides, padding = \"same\",\n",
        "                                 kernel_regularizer=tf.keras.regularizers.L2(0.01))(x)\n",
        "    x = add([x, y])\n",
        "    x = tf.keras.layers.Activation(\"relu\")(x)\n",
        "  filters *=2\n",
        "x = tf.keras.layers.Flatten()(x)\n",
        "x = tf.keras.layers.Dropout(0.7)(x)\n",
        "x = tf.keras.layers.Dense(1024, activation = \"relu\")(x)\n",
        "x = tf.keras.layers.Dropout(0.3)(x)\n",
        "x = tf.keras.layers.Dense(512, activation = \"relu\")(x)\n",
        "x = tf.keras.layers.Dropout(0.45)(x)\n",
        "y = tf.keras.layers.Dense(len(classes), activation =\"softmax\",\n",
        "                          kernel_regularizer=tf.keras.regularizers.L2(0.0001))(x)\n",
        "m = tf.keras.models.Model(input, y)\n",
        "m.compile(optimizer = tf.optimizers.Adam(learning_rate=0.001), loss = \"categorical_crossentropy\", metrics = ['accuracy'])\n",
        "m.summary()     "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 103,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aBY20hs9oq0F",
        "outputId": "ea240da3-56e8-49ec-9ca1-771bfe271298"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ],
      "source": [
        "tf.keras.utils.plot_model(m, show_shapes = True, show_layer_activations= True)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Training Model"
      ],
      "metadata": {
        "id": "j9zcLsqugBJv"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 104,
      "metadata": {
        "id": "AYxL_kd4F64Z",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "457e6179-966e-4c24-a19f-cd5584dcd96d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/60\n",
            "2896/2896 [==============================] - 107s 33ms/step - loss: 4.1959 - accuracy: 0.3721 - val_loss: 1.1509 - val_accuracy: 0.8226\n",
            "Epoch 2/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 1.2137 - accuracy: 0.7924 - val_loss: 0.5873 - val_accuracy: 0.9330\n",
            "Epoch 3/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.8149 - accuracy: 0.8679 - val_loss: 0.4343 - val_accuracy: 0.9551\n",
            "Epoch 4/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.6561 - accuracy: 0.8935 - val_loss: 0.3817 - val_accuracy: 0.9593\n",
            "Epoch 5/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.5701 - accuracy: 0.9072 - val_loss: 0.3178 - val_accuracy: 0.9699\n",
            "Epoch 6/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.5152 - accuracy: 0.9161 - val_loss: 0.2910 - val_accuracy: 0.9734\n",
            "Epoch 7/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.4781 - accuracy: 0.9236 - val_loss: 0.2864 - val_accuracy: 0.9719\n",
            "Epoch 8/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.4490 - accuracy: 0.9285 - val_loss: 0.2694 - val_accuracy: 0.9757\n",
            "Epoch 9/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.4263 - accuracy: 0.9327 - val_loss: 0.2447 - val_accuracy: 0.9798\n",
            "Epoch 10/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.4108 - accuracy: 0.9361 - val_loss: 0.2408 - val_accuracy: 0.9814\n",
            "Epoch 11/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.4006 - accuracy: 0.9383 - val_loss: 0.2339 - val_accuracy: 0.9819\n",
            "Epoch 12/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3873 - accuracy: 0.9404 - val_loss: 0.2386 - val_accuracy: 0.9817\n",
            "Epoch 13/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3791 - accuracy: 0.9420 - val_loss: 0.2301 - val_accuracy: 0.9818\n",
            "Epoch 14/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3674 - accuracy: 0.9438 - val_loss: 0.2327 - val_accuracy: 0.9803\n",
            "Epoch 15/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3620 - accuracy: 0.9457 - val_loss: 0.2240 - val_accuracy: 0.9826\n",
            "Epoch 16/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3553 - accuracy: 0.9467 - val_loss: 0.2177 - val_accuracy: 0.9829\n",
            "Epoch 17/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3511 - accuracy: 0.9475 - val_loss: 0.2125 - val_accuracy: 0.9842\n",
            "Epoch 18/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3488 - accuracy: 0.9481 - val_loss: 0.2337 - val_accuracy: 0.9803\n",
            "Epoch 19/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3409 - accuracy: 0.9491 - val_loss: 0.2148 - val_accuracy: 0.9837\n",
            "Epoch 20/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3365 - accuracy: 0.9504 - val_loss: 0.2075 - val_accuracy: 0.9841\n",
            "Epoch 21/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3343 - accuracy: 0.9508 - val_loss: 0.2254 - val_accuracy: 0.9810\n",
            "Epoch 22/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3299 - accuracy: 0.9519 - val_loss: 0.2136 - val_accuracy: 0.9826\n",
            "Epoch 23/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3256 - accuracy: 0.9527 - val_loss: 0.2187 - val_accuracy: 0.9833\n",
            "Epoch 24/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3259 - accuracy: 0.9530 - val_loss: 0.2123 - val_accuracy: 0.9841\n",
            "Epoch 25/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3205 - accuracy: 0.9541 - val_loss: 0.1983 - val_accuracy: 0.9867\n",
            "Epoch 26/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3188 - accuracy: 0.9544 - val_loss: 0.1995 - val_accuracy: 0.9853\n",
            "Epoch 27/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.3139 - accuracy: 0.9554 - val_loss: 0.1965 - val_accuracy: 0.9864\n",
            "Epoch 28/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.3138 - accuracy: 0.9549 - val_loss: 0.1961 - val_accuracy: 0.9866\n",
            "Epoch 29/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3096 - accuracy: 0.9559 - val_loss: 0.2012 - val_accuracy: 0.9860\n",
            "Epoch 30/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.3102 - accuracy: 0.9558 - val_loss: 0.2020 - val_accuracy: 0.9848\n",
            "Epoch 31/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.3057 - accuracy: 0.9567 - val_loss: 0.1983 - val_accuracy: 0.9866\n",
            "Epoch 32/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3047 - accuracy: 0.9566 - val_loss: 0.1964 - val_accuracy: 0.9856\n",
            "Epoch 33/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3021 - accuracy: 0.9578 - val_loss: 0.1974 - val_accuracy: 0.9864\n",
            "Epoch 34/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3013 - accuracy: 0.9581 - val_loss: 0.1924 - val_accuracy: 0.9867\n",
            "Epoch 35/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.3012 - accuracy: 0.9577 - val_loss: 0.1938 - val_accuracy: 0.9858\n",
            "Epoch 36/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2977 - accuracy: 0.9585 - val_loss: 0.1922 - val_accuracy: 0.9869\n",
            "Epoch 37/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2960 - accuracy: 0.9589 - val_loss: 0.1919 - val_accuracy: 0.9876\n",
            "Epoch 38/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2948 - accuracy: 0.9591 - val_loss: 0.1928 - val_accuracy: 0.9856\n",
            "Epoch 39/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2938 - accuracy: 0.9590 - val_loss: 0.2092 - val_accuracy: 0.9839\n",
            "Epoch 40/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2917 - accuracy: 0.9597 - val_loss: 0.1923 - val_accuracy: 0.9867\n",
            "Epoch 41/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2928 - accuracy: 0.9592 - val_loss: 0.1898 - val_accuracy: 0.9866\n",
            "Epoch 42/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2903 - accuracy: 0.9599 - val_loss: 0.1864 - val_accuracy: 0.9868\n",
            "Epoch 43/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2873 - accuracy: 0.9607 - val_loss: 0.1997 - val_accuracy: 0.9837\n",
            "Epoch 44/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2909 - accuracy: 0.9601 - val_loss: 0.1926 - val_accuracy: 0.9857\n",
            "Epoch 45/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2870 - accuracy: 0.9606 - val_loss: 0.1876 - val_accuracy: 0.9872\n",
            "Epoch 46/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2882 - accuracy: 0.9604 - val_loss: 0.1855 - val_accuracy: 0.9870\n",
            "Epoch 47/60\n",
            "2896/2896 [==============================] - 94s 32ms/step - loss: 0.2826 - accuracy: 0.9615 - val_loss: 0.1805 - val_accuracy: 0.9880\n",
            "Epoch 48/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2851 - accuracy: 0.9613 - val_loss: 0.1854 - val_accuracy: 0.9870\n",
            "Epoch 49/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2817 - accuracy: 0.9617 - val_loss: 0.1836 - val_accuracy: 0.9874\n",
            "Epoch 50/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2803 - accuracy: 0.9619 - val_loss: 0.1827 - val_accuracy: 0.9878\n",
            "Epoch 51/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2826 - accuracy: 0.9619 - val_loss: 0.1961 - val_accuracy: 0.9860\n",
            "Epoch 52/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2803 - accuracy: 0.9620 - val_loss: 0.1892 - val_accuracy: 0.9862\n",
            "Epoch 53/60\n",
            "2896/2896 [==============================] - 93s 32ms/step - loss: 0.2832 - accuracy: 0.9617 - val_loss: 0.1909 - val_accuracy: 0.9868\n"
          ]
        }
      ],
      "source": [
        "history = m.fit(features, target, epochs = 60, batch_size = 128,\n",
        "                validation_data = (features_dev, target_dev), \n",
        "               callbacks = [tf.keras.callbacks.EarlyStopping(patience = 6, \n",
        "                                                              monitor = 'val_loss', \n",
        "                                                              mode = 'min', \n",
        "                                                              restore_best_weights=True)])"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize = (12, 5))\n",
        "plt.plot(history.history['loss'], label = \"loss\")\n",
        "plt.plot(history.history['val_loss'], label = \"validation loss\")\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "8rZNSfPL9MKQ",
        "outputId": "73007b5d-3447-4f67-b7ab-0f65610f3ec6"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f0160306bd0>"
            ]
          },
          "metadata": {},
          "execution_count": 108
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (12, 5))\n",
        "plt.plot(history.history['accuracy'], label = \"accuracy\")\n",
        "plt.plot(history.history['val_accuracy'], label = \"validation accuracy\")\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "eltyYYF79esG",
        "outputId": "743301bf-5d39-487a-cec0-5c17f3a056ce"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f01601ff910>"
            ]
          },
          "metadata": {},
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Result"
      ],
      "metadata": {
        "id": "QMZcx4SVgFWf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "m.evaluate(features_dev, target_dev)"
      ],
      "metadata": {
        "id": "tLSQoIjnz8yJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6bf40fc4-dad0-4680-ad9e-d2b0cd356584"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1278/1278 [==============================] - 7s 6ms/step - loss: 0.1805 - accuracy: 0.9880\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.1804574877023697, 0.9879904389381409]"
            ]
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 111,
      "metadata": {
        "id": "f4wbXqobHSXj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed67669e-eac8-4d5e-b39f-2540435a9ec0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1278/1278 [==============================] - 7s 5ms/step\n"
          ]
        }
      ],
      "source": [
        "y_pred = m.predict(features_dev)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred = np.argmax(y_pred, axis = 1)"
      ],
      "metadata": {
        "id": "vTo5D3Va94ZP"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(tf.math.confusion_matrix(\n",
        "    np.argmax(target_dev, axis = 1),\n",
        "    y_pred,\n",
        "))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hr_lVNKI-As3",
        "outputId": "954aa728-e729-4ce5-ffca-4ab310e0ca49"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tf.Tensor(\n",
            "[[77  0  0 ...  0  0  0]\n",
            " [ 0 49  0 ...  0  0  0]\n",
            " [ 0  0 84 ...  0  0  0]\n",
            " ...\n",
            " [ 0  0  0 ... 46  0  0]\n",
            " [ 0  0  0 ...  0 48  0]\n",
            " [ 0  0  0 ...  0  0 44]], shape=(600, 600), dtype=int32)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hWwNrlN1A8Of",
        "outputId": "ab1a25b7-d974-4e76-8f67-478d98b72be9"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "m.save(\"drive/MyDrive/pfam.h5\")\n",
        "m.save_weights(\"drive/MyDrive/pfam_weights.h5\")"
      ],
      "metadata": {
        "id": "UeNpfzqAAL0_"
      },
      "execution_count": 122,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "with open('drive/MyDrive/tokenizer.pickle', 'wb') as handle:\n",
        "    pickle.dump(tokenizer_seq, handle, protocol=pickle.HIGHEST_PROTOCOL)"
      ],
      "metadata": {
        "id": "YuBRT2hDB4Ox"
      },
      "execution_count": 123,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [],
      "machine_shape": "hm",
      "provenance": []
    },
    "gpuClass": "premium",
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.12"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}